Spring 2022 Engineering and Computer Science Dean’s List

Syracuse University Campus

In recognition of superior scholarship, the following students have been entered on the Engineering & Computer Science Dean’s List for Spring 2022.

To be eligible for Dean’s List recognition, the minimum semester grade point average must be 3.40 or higher, must have earned a minimum of 12 graded credits and must have no missing or incomplete grades.

Aerospace Engineering

Allyson Almeida

Brady Arruda

Curtis Cline

Bryan Collins

Nicholas Crane

Brian Cronin

Christopher Doherty

Michael Donato

Sean Edelman

Nadia Elsaeidy

Benjamin Faasse

Christian Fitzgerald

Victoria Forsyth

Benjamin Gerard

Alexandre Gill

Jacob Gomez

Zachary Haas

David Hadley

Alyssa Henley

Aidan Hoff

Paula Ibelings

Nicholas Jacobs

Joseph Javier

Sydney Jud

Benjamin Kane

Harrison Kayton

Trevor Knight

Isaac Lehigh

Stephen Leung

Emma Levenson

Maximillian Lipinski

Jacob Long

Powers Lynch

Brendan Marquis

Noah Martel

Elsa Martin

Jonathan Martin

Maxwell Martin

William Martin

Jason McElhinney

Mariana McManus

Parker McMillan

Alexander Metcalf

Romeo Michelson

John Michinko

Kendra Miller

Evan Moore

Matthew Murino

Mark Namatsaliuk

Tatiyyanah Nelums

Randall Osborn

David Pham

Madeline Phelan

Logan Prye

Matthew Qualters

Mykhaylo Rafalskyy

Samantha Riedel

Brandon Riley

Tracey Rochette

Alyssa Rote

Daniela Ruano-Pinos

Gregory Ruef

Michael Saksa

William Saueressig

Fred Schaffer

Winston Schaumloffel

Justine John Serdoncillo

Kanya Shah

Vraj Shah

Prabha Singh

Gregory Slodysko Jr

Zachary Stahl

Christopher Stawarski

Ethan Stocum

Yiyuan Sun

Marco Svolinsky

Tiffany Tang

Anthony Tricarico

Cody VanNostrand

Diego Villegas

Mason Weber

Timothy Wiley

Kana Wong

Cameron Woodbury

Melissa Yeung

Bioengineering

Anthony Acierto

Ashraf Alnatour

Bianca Andrada

Jason Bae

Eric Benaroch

Colby Black

Anna Brunson

Zeynep Cakmak

Britnie Carpentier

Lukas Cook

Tessa Decicco

Mia-Marie Fields

Tessa Galipeau

Jennifer Gonzalez

Skyla Gordon

Jenna Grutzmacher

Grace Haas

Lauren Hamilton

Victoria Hathaway

Brenna Henderson

Madeline Jones

Gabriel Khan

Jakub Kochanowski

Emily Labour

Quinn Langdon

Sara Leonardo

Isabelle Lewis

Alejandra Lopez

Ethan Masters

Aidan McCarthy

Aelish McGivney

Ian McHugh

Caitlin Mehl

Lindy Melegari

Katherine Monroe

Hannah Murphy

Alexander Musselman

Jonathan Ngo

Mark Nicola

Nicole Nielsen

Kerrin O’Grady

Mia Paynton

Megan Perlman

Connor Preston

Michael Presunka

Mark Ransbottom

Lillian Rhuda

Isabella Rosales

Brandon Salazar

Amira Salihovic

Juliana Sepulveda

Bridget Sides

Katherine Southard

Justin Stock

Elizabeth Su

Kimberly Tlayaca

Zhuoqi Tong

Danny Vu

Nathaniel Wellington

Maximillian Wilderman

Haven Wittmann

Lauren Woodford

Rui Xie

Julian Zorn

Samantha Zysk

Chemical Engineering

Daud Abdullayev

Paige Adebo

Lilly Basgall

Sandy Cao

Karley Chambers

Dennis Dao

Gabriela Duarte Saadia

Samantha Esparza

Emily Fittante

Edward Fluker

Mia Goldberg

Brent Gosselin

Avery Gunderson

Christopher Hansen

Oduduabasi Isaiah

Aiden Jacobs

Natalia Jarmain

Hope Johnson

Sonia Julius

Sayf Karim

Laxmi Khatiwada

Adam Klinger

Simran Dharmendra Lakhani

Caroline Leduc

Steven M Axelsen

Haonan Ma

Rawia F A M Marafi

Annika Meyers

Erin Odonnell

Sean O’Toole

Eli Paster

Fabiana Perez

Isabella Perkins

Nora Prosak

Riley Schmerber

Jacob Shellhamer

Jason Tan

Elizabeth Wall

Murphy Waters

Jackson Yuen

Civil Engineering

Shalom Acheampong

Juan Pablo Arosemena Graziadei

Maxwell Bell

Lucas Bellandi

Henry Bievenue

Ryan Bourdeau

Shalamar Brown

Alycia Bruce

Masson Bruening

Brett Carney

Vanessa Chica

Alejandro Correa

Aymeric Destree

Brendan Dwyer

Jack Dwyer

Marlee Ecton

Maraea Garcia

Matthew Hauser

Julia Johnson-Milstein

Joshua Kaufman

Kate Kemnitz

Alexander Klee

Adam Landry

Evangelia Larson

Abigail Laschalt

Haben Legesse

Emma Liptrap

Emilija Lizins

John Mazza

Jessica McGowan

Lucas Meiers

Sumit Mistry

Salma Mohamed

Amira Mouline

Trevor Napoli

Marissa Nicole

Jenifer Pena

Joseph Penta

Brian Perez

Justin Pettit

John Pham

Maxwell Pozar

Gabriel Prepetit

Anthony Privitera

Benjamin Putrino

Kaylin Richards

Cassie Saracino

Ethan Schulz

Aaron Shinn

Caitlin Spillane

Erin Splaine

Jose Venegas

Christian Viola

Christian Ward

Angelina Wong

Isabelle Wong

Paige Yamane

Charles Zeitoune

Garrett Zito

Computer Engineering

Adekunle Akinshola

Chikeluba Anierobi

Graciela Avila

Jackson Bradley

Collin Chamberlain

Dynasty Chance

Ibrahima Diallo

Lyn El Sayed Kassem

Melvin Escobar Gonzalez

Xavier Evans

Elizabeth Fatade

Delaney Glassford

Aidan Harrington

Ethan Hensley

Kasey Jackson

Mehak Jetly

Virkin Jimenez

Fundi Juriasi

Bikash Khatiwoda

Jessica Lat

Tyler Lavaway

Matthew Leight

Jiaxiong Li

Kyle Maiorana

Aksel Malatak

Jacob Masrouri

Jas Moreno

Benjamin Murray

Pierce Neubert

Jose Olivera

Jessica Reslan

Anel Rizvic

Samuel Rosenthal

Hongyi Ruan

Mia Russo

Hanna Salem

Alexander Segarra

Ryan Wolff

Renjie Xu

Andy Zheng

Computer Science

Aaron Alakkadan

Sajjad Albadri

Huda Ali

Christian Alves-Patterson

Garret Babick

Julia Barucky

Samantha Bastien

Anas Benhamida

Luke Bonenberger

Joshua Boucher

Brian Bourne

Ella Brink

Brandon Brushwyler

Bryan Bueno Reyes

Bryce Cable

Liam Calnan

Omar Camara

Megan Campbell

Benjamin Canfield

Jackie Chen

Lawrence Chen

Siyu Chen

Yixing Chen

Daniel Chmielewski

Season Chowdhury

Konstantinos Chrysoulas

Bram Corregan

Miguel Cruz Flores

Matthew Cufari

Ryan Czirr

Salvatore DeDona

Aidan DeGooyer

Alpha Diallo

Lucille Disalvo

Christopher Edmonds

Georges Elizee

Yassin Elsharafi

Ryan Elsinga

Matthew Faiola

Xueyan Feng

Bennett Ferrari

Lucas Fox

Mason Freer

Ruihong Gao

Brianna Gillfillian

Justin Gluska

John Gorman

Alexander Haas

Athanasios Hadjidimoulas

Talal Hakki

Ashley Hamilton

Jillian Handrahan

Liam Hannah

Nicholas Hoffis

Laurel Howell

Jacob Howlett

Xuanye Huang

Chengyi Jiang

Tianyiming Jing

Frederick Jones

Michael Jones

Alan Jos

Xiaoya Kang

Aarya Kaphley

Henry Katchuba

Matthew Keenan

Ekaterina Kladova

Polina Kozyreva

Gaeun Lee

Janet Lee

Justin Lee

Andy Li

Jiashu Li

Rick Li

Yuxuan Li

Daniel Lim

Haochen Lin

Sandy Lin

Zekai Lin

Huangjin Liu

Jiaming Liu

Joshua Liu

Yiheng Lu

Runzhi Ma

Gavin Macisaac

Andrew Markarian

Konnor Mascara

Kanoa Matton

Ryan May

Anthony Mazzacane

Matthew McDaniels

Noah Mechnig-Giordano

Jose Mendoza

Philip Moceri

Thomas Montfort

Jacob Morrison

Jovanni Mosca

Ryan Murphy

Zoe Neale

Christopher Nemeth Jr

Jillienne Ness

Arianna Nguyen

Cheryl Olanga

Carlyn O’Leary

Marissa Orsley

Daniel Pae

William Palin

Xiaofeng Pan

Michael Panighetti

Adya Aditi Parida

Brian Pellegrino

Carlo Pisacane

Daniel Pomerantz

Fiona Powers Beggs

Cheng Qiu

Shane Race

Christopher Rhodes

Eric Rodriguez

Sadikshya Sanjel

Jack Schmidt

William Seeley

Huahao Shang

Nolan Shepherd

Chad Smith

Jeremy Stabile

Kevin Sullivan

Cheng Yu Sung

Nicholas Sweet

Rae Tasker

Dylan Teare

Emmanuel Teferra

Jonathan Thomas

Eduardo Torres-Garcia

Brendan Treloar

Winston Tsui

Randy Vargas

Kevin Verdeschi

Kritika Verma

Bermalyn Maricel Vicente

Christopher Vinciguerra

Ruobing Wang

Xinyi Wang

Zijian Wang

Robert Ward

Jack Willis

Nolan Willis

Brian Wong

Ethan Wong

Tianyi Xiang

Zhuoyi Xiong

Yujie Xu

Jishuo Yang

Yongcan Yang

Stella Yaunches

Elin Yaworski

Yulun Zeng

Liaotianbao Zhang

Mingyan Zhang

Ruihao Zhang

Weiwei Zhang

Junjie Zheng

Liuyu Zhou

Xinqian Zhou

Yitao Zhou

Joseph Zoll

Engineering Undeclared

Luke Lybarger

Kathleen Meleski

James Peden

Emily Schiessl

Electrical Engineering

Minghao Ai

Mohammed Aljohani

Tianle Bu

Kevin Buciak

Wyatt Bush

Yushang Cai

Arianna Cameron

Leshui Chen

Nicholas Connolly

Kevin Donnelly

Henry Duisberg

Randy Galicia

Jose Ginorio

Jemma Mallia

Tyler Marston

Ryan Mussaw

Zixun Nian Nian

Jayson Okhman

Dylan Palmer

Julia Pepin

Matthew Piciocchi

Savion Pollard

Gilberto Ruiz

Gabriel Ruoff

Luis Santin

Jenna Stapleton

Jared Welch

Environmental Engineering

Elexis Jean Bishop

David Brodsky

Benjamin Cavarra

Ananya Chandra

Bessie Chen

Emma Crandall

Eric Fitzgerald

Eleanor Gettens

Allyson Greenberg

Brady Hartnett

Christopher Harvey

Joshua Higgins

Nicholas Kohl

Audrey Liebhaber

Samuel Livingston

Henry Long

Molly Matheson

Matthew Nosalek

Andrew O’Gorman

Ella Phipps

Scott Potter

Joshua Prygon

Oliver Raycroft

Mary Schieman

Noah Sherman

Husna Tunje

Jacob Tyler

Andrew Vanderwege

Maria Antonia Villegas Botero

Emily Vogel

Anna Wojcik

Qiuyu Zhou

Reilly Zink

Mechanical Engineering

Owyn Adams

Richard Andrews

Joshua Arndt

Timothy Arnold

Charles Ball

Erin Beaudoin

Aidan Bergman

Jeffrey Bernstein

Chloe Britton Naime

Brinley Bruening

Arnaud Buard

Alexander Callo

Joseph Capra

Graham Chapman

Talina Chipantiza

Artur Chuvik

Caroline D’Addio

Peter Daniels

Ryan Dileo

Madeline Doyle

Luyen Duong

Griffin Estes

Thomas Fabiano

Charles Germosen

Samuel Getman

Kara Gorman

Laura Graziosi

Jiayuan Huang

Vian Vishal Jain

Jagger Kachmaryk

Finnian Kery

Teagan Kilian

Justin Kohan

Deanna Koppenjan

Trevor Kroells

Harrison Liberto

Cameron Lotfi

Honorata Lubecka

Bei Luo

Lauren Mack

Kalhaku McLester

James Melitski

Leilah Miller

Pablo Morales

Nicholas Papaleo

Nathaniel Paradis

Corey Phung

Nicholas Piano

Scott Reyes

Aidan Riederich

Jasmine Rodriguez

Jeremy Rosh

Nitish Satpute

Justin Sauve

Eric Silfies

Dionysios Skaltsas

Nathaniel Slabaugh

Samuel Slaiby

Ian Storrs

Matthew Swanson

Ethan Tracey

Evan Tulsky

Alexandra Vaida

Nicholas Valentin

Griffin Vollers

Michael Wehrle

Taj Whitney

Michael Wong

Systems & Information Science

Connor Gurnham

Stacy Kim

Younes Ra’di

Degrees:

PhD. Aalto University, Finland

MS University of Tabriz, Iran

Current Research:

His research is mainly focused on engineering fields and waves, with emphasis on tailoring electromagnetic wave-matter interactions. In this context, he has made several scientific contributions on a broad range of topics in theoretical and applied electromagnetics and optics, including engineered RF/microwave materials, antennas and propagation, functional metasurfaces, plasmonics, and nanophotonics. Working with three leading research groups in the field of engineering light-matter interaction, he has successfully put forward fundamentally new concepts and ideas to go beyond the limitations of conventional designs and have investigated theoretically, numerically, and experimentally innovative aspects of wave interaction with engineered structures.

Pankaj K. Jha

Degrees:

PhD. Texas A&M University

Masters of Science Indian Institute of Technology (IIT)

Current Research:

Jha’s research focuses on developing quantum hardware using two-dimensional materials and heterostructures, III-V semiconductors, nanostructures, soft-materials, metamaterials, and hybrid combination of these materials. His research seeks to understand fundamental characteristics of these systems through combined experimental, theoretical, and computational studies and use those findings to gain control and induce novel optical, electrical, thermal, and mechanical responses in them. These responses, in turn, are leveraged to develop transformative devices and technologies for quantum information science, quantum sensing and metrology, nanophotonics, optoelectronics, and space exploration applications. Thus, his interdisciplinary research crosses the conventional scientific boundaries to merge applied physics with electrical engineering, materials science, and mechanical engineering.

Kirthiga Reddy G’95 Announced as 2022 College of Engineering and Computer Science Convocation Keynote Speaker

Kirthiga Reddy G’95 has many firsts to her credit. She was the first female investing partner at SoftBank Vision Fund, the first employee for Facebook in India & their Managing Director for Facebook India & South Asia. She is currently the president of Athena Technology II SPAC and a founding investment partner for f7 Ventures. She is on the Board of WeWork and Pear Therapeutics. The College of Engineering and Computer Science is proud to announce she will be the keynote speaker at the College’s 2022 Convocation on May 14th.

Reddy brings over twenty years of experience leading technology-driven transformations. She is driven by the mantra “When businesses succeed, livelihoods flourish.”

Athena Technology II is an all-women-led SPAC (Special Purpose Acquisition Company) which brings talent and transaction experience to enable access to equity capital markets. The f7 Seed Fund’s mission is “Bold Women Investing in Bold Ventures.” Previously, Reddy was the Investment Partner at SoftBank Investment Advisers, manager of the $100B+ SoftBank Vision Fund where she led a portfolio of $5 Billion-plus. Her focus was fast evolving sectors like quantum computing, additive manufacturing, enterprise, health tech, gaming and crypto. She served on the investment committee of Softbank’s Emerge Program, a global accelerator to provide funding, tools and networks for top companies led by underrepresented founders.

Prior to SBIA, she was the Managing Director of Facebook India and South Asia for over six years, starting as their first employee in India. She started one of the global operations offices that now serves over 3.5B people. She grew the India business to several $100Ms of annual revenue and got investment buy-in for the vision of $1B. Her subsequent experiences at Facebook focused on emerging and high-growth markets including Mexico, Brazil, Indonesia, South Africa and the Middle East.

Reddy is a passionate supporter of Syracuse University’s College of Engineering and Computer Science, where she received a master’s degree in Computer Engineering in 1995. She has been an active member of the Dean’s Leadership Council since 2018 and is a member of SU’s Hill Society, a dedicated network of leadership annual donors who share a common goal of supporting Syracuse University’s highest priorities.

The newly established Kirthiga Reddy Graduate Scholarship Fund provides financial assistance to ECS graduate students.

She holds an MBA from Stanford University, where she graduated with highest honors as an Arjay Miller Scholar and has served as Chair of the Stanford Business School Management Board. She acquired her B.E. in Computer Science and Engineering from Marathwada University, India. She has been recognized as Fortune India’s “Most Powerful Women” and as Fast Company’s “Most Creative People in Business” among other recognitions. Her upcoming book, The Opportunity Engine, is about building high-growth, sustainable businesses.

Electrical Engineering and Computer Science Professor Sara Eftekharnejad Receives National Science Foundation (NSF) CAREER Award

For a network that powers the country, the United States electric grid is increasingly fragile. Millions of people, households and industries rely on the grid’s ability to balance the supply and demand for energy but extreme weather events and challenges predicting renewable energy generation levels have put significant pressure on it. Grid failures like the one that happened in Texas in 2021 can affect millions of people.

“The only way to prevent cascading outages is to better predict them,” said electrical engineering and computer science Professor Sara Eftekharnejad. “If we can predict the most probable grid failures then mitigative actions could be taken to prevent those failures .”

Eftekharnejad received an NSF CAREER Award to research the impacts of the uncertainties within the electric power grid and develop enhanced methods to predict disruptions. Her research will focus on two main areas –

  1. Statistical modeling for power grid failures that are often caused by severe weather and interconnectivity issues.
  2. Modeling the generation uncertainties, particularly as more power is generated by renewables that depend on weather conditions like wind and solar.

The two are separate issues but can also come together to cause significant problems.

“Generation and outages are interdependent. If there is an unforeseen shortage of renewable power generation, that could potentially lead to outages. Similarly, severe outages could disconnect the distributed renewable generation resources from the grid” said Eftekharnejad. “If the grid operators are aware of the impending failures considering these uncertainties, they can take actions that prevent large-scale blackouts.”

To better predict power generation uncertainties and outages across the more than 7,000 power plants and 2.7 million miles of power lines that make up the United States power grid, Eftekharnejad and her research team will develop statistical predictive models.

“When outages cascade, it can affect millions of people. We are trying to develop better methods to estimate the probabilities of outages considering the uncertainties of the available generation resources,” said Eftekharnejad. “We are going to find a way to quantify the uncertainties using large-scale data and machine learning methods.”

Using historical or synthetic data, they will develop statistical models for outage predictions over hundreds of power lines.

“We are looking for a dynamic model that can adjust in real time. The model would learn from the system measurements and adjust itself to better capture the existing uncertainties,” said Eftekharnejad. “Once we know how to model outages and predict them – now we have a way to quickly predict outages in seconds.”

Eftekharnejad and her team also want to develop better forecast models for wind and solar power generation.

“If we can better predict the day-ahead generation uncertainties, we can better plan for those uncertainties and ensure adequate reserves are available,” said Eftekharnejad.

In addition to preventing large-scale blackouts, Eftekharnejad says better modeling of the grid uncertainties could also have significant economic benefits.

“Reducing disruptions is better for the electric utilities and customers. More reliable power could reduce costs for both,” said Eftekharnejad.

“Receiving an NSF CAREER award is an important accomplishment and recognition for new faculty. The awards support pre-tenure early-career assistant professors,” said Jae Oh, the David G. Edelstein Professor for Broadening Participation and chair of the Department of Electrical Engineering and Computer Science. “The EECS department has been regularly producing CAREER awardees in recent years, and we expect this trend to continue in many future years.”

“Dr. Eftekharnejad’s research reveals the power of algorithms in modern society. We obviously cannot afford to rely on nonrenewable resources exclusively for power, nor can we always imagine what power demands and failure events will happen in the future,” said J. Cole Smith, Dean of the College of Engineering and Computer Science. “Her research will ultimately serve to make our power grid more effective in normal operations, more reliable in times of disruptions, and more efficient in using renewable energy sources. This kind of research is just so vital to addressing modern challenges to our national security and quality of life, and the College is excited to see what she and her team of students will produce with this prestigious award.”

Life Trustee Nick Donofrio G’71, H’11 Receives 2022 International Peace Honors Award

Nicholas “Nick” Donofrio G’71, H’11, a Syracuse University Life Trustee, was one of the distinguished award recipients at the 2022 International Peace Honors on February 27th. The International Peace Honors celebrates the most outstanding global leaders and change-agents of our time who make philanthropy and humanitarian service a hallmark of their lives, to advance humanity and our planet.

Donofrio spent 44 years at IBM, working his way up to become executive vice president of innovation and technology. He has dedicated much of his life to providing and expanding opportunity in STEM fields to students from underrepresented groups. Donofrio has also served as the board chairman for the non-profit PeaceTech Lab since it was founded by the United States Institute of Peace in 2014, he was appointed by the U.S. Department of Education to serve on the Commission on the Future of Higher Education and by the National Academy of Engineering for their Committee on Racial Justice and Equity.

“Nick’s commitment to making STEM fields more diverse and inclusive exemplifies the leadership he has shown throughout his career,” says Chancellor Kent Syverud. “His tireless efforts have provided pathways to countless individuals pursuing careers in STEM. I congratulate Nick on this tremendous recognition. Our community is proud and fortunate to have him as an active part of our Syracuse University family.”

He founded the Donofrio Scholars program at the College of Engineering and Computer Science that evolved into the ECS Ambassadors program. His recent gift to the Forever Orange Campaign helps support and grow holistic diversity, equity and inclusion initiatives that touch on every aspect of the College, including recruiting and retaining diverse students, faculty and staff, strengthening a culture of equity and inclusion, ensuring student access to internships and co-ops, academic support, career mentoring, and professional societies.

“Nick is one of the most extraordinary people I’ve had the chance to meet,” said College of Engineering and Computer Science Dean J. Cole Smith. “Before you meet Nick, you know him for his elite professional success and recognition. After you get to know him, you see a man with a rare and profound dedication to helping humanity. We have long known of Nick’s sustained impact on students and his profession at Syracuse University, and I am so gratified to see him recognized worldwide with this prestigious honor.”

In an article published in 2021 by the National Academy of Engineering, Donofrio wrote that “innovation doesn’t just ‘happen.’ It is enabled by environments and organizations that foster open, collaborative, inclusive, multidisciplinary thinking and working. Time and again, I have been reminded that the more open and inclusive the team, the more successful it is—because nobody knows in advance which team member is going to supply a critical piece of the value puzzle.”

As a 2022 International Peace Honoree, Donofrio joins prestigious actor, director and social activist Forest Whitaker, MasterCard chairman Ajay Banga; internet phenomenon and “Humans of New York” creator Brandon Stanton and Advanced Micro Devices president & CEO Dr. Lisa Su.

Electrical Engineering and Biomedical Engineering Alumni Profile: Grace Lanni ’88

Great ideas often disappear into a chasm that exists between inception and execution. To help bridge that gap, Grace Lanni ’88 has an innate ability to communicate with an array of stakeholders, help entrepreneurs find clarity in their ideas, and turn them into solutions that help people. Her fluency in a diverse set of subjects and ability to adapt was apparent from the start of her time as a student at Syracuse University.

Lanni entered college on a full Airforce ROTC scholarship and chose electrical engineering and biomedical engineering as part of a dual degree, along with a minor in music. Lanni found Syracuse University provided her with opportunities and resources to pursue her differing interests.

“The professors were very entrepreneurial, and I leaned into that. I was able to work with a physician at Upstate Medical Center as a lab assistant and I had other internship activities so I could apply the stuff I was learning,” said Lanni. “I also got to join the jazz band and be part of a community of musicians.”

After graduating, Lanni accepted a position where she quickly learned she was uniquely effective at communicating between two key departments.

“I would sit with the engineers in the morning and then spend the afternoon with the marketing people to explain what it was the engineers were building, and how to sell and implement the products,” said Lanni.

Lanni admits she had more fun spending time with the marketing team, and it opened her eyes to a side of business she had never experienced. This was the first of several significant shifts Lanni used to chart her career. In her next job, Lanni got a taste for selling. Then she moved to California where she took a position at a small networking hardware company and helped them grow to 35 employees within a year. The next move was to Austin, Texas and into software sales at a startup, but suddenly her momentum was stopped. After two months of being in the role, Lanni arrived at the office to find the doors chained shut. The company had gone out of business. Lanni had moved to Austin with her kids, she didn’t know many people, and did not have a job. After briefly considering retreating back to California, Lanni made some calls to colleagues and started looking for projects. Six months later she had her own company.

At the time, companies were just beginning to move servers off site to colocation centers, but the software they needed to manage the new server set up didn’t exist. Recognizing a sound opportunity, Lanni drafted a proposal and became one of only two women to score million-dollar money from a tier one venture capital firm that year. This was Lanni’s first time working with a venture group, and she says although it came with new challenges, the experience made her want to help women entrepreneurs.

“I really didn’t have any experience in the venture community. I had some support, some mentorship, but nothing like today,” said Lanni. “One of the things I love to do is support other women who want to go into the venture community and that is why. I didn’t have the support. I didn’t know what to say. I didn’t know how to manage the money. Those are skills I learned.”

Lanni broke away to work on a new startup in collaboration with Dell engineers to develop and sell an early version of the tablet PC. Lanni booked the first order, signed up the first partner and the first distributor, and after seven years she decided it was time for another move. Healthtech allowed Lanni to enjoy bioengineering and entrepreneurship, but by 2016, she went all-in on digital marketing. Lanni went to her team and asked what they thought she should focus on, and they said, “you’re a personal branding expert.” In response, Lanni launched a new business called All About That Brand to focus on helping entrepreneurs tell their stories to attract their ideal customers.

Lanni is a pioneer in the branding influencer space. All About That Brand helped bring personal brand influence into the spotlight and it took off. The platform includes an award-winning podcast, an award-winning book, and it positioned Lanni as an influencer in marketing, personal branding, and customer experience. In February of 2020, Lanni was searching for a new opportunity to innovate, and her reputation led to an invitation to appear on the cyberbullying episode of “4 Days to Save the World,” a reality show that challenges groups of entrepreneurs to develop solutions for global social problems.

The eruption of COVID-19 nearly derailed any further participation with the show because Lanni needed to focus on managing disruption facing All About That Brand. When she notified the showrunners that she wanted to step away, they countered by asking Lanni to stay on board in a new role, associate producer. It may sound like a strange role for an engineer, but both engineering and producing require a similar way of thinking.

“You have a problem in front of you almost every hour of every day. It is 24 hours of problem solving to the emergency room level,” said Lanni.

Her engineering mindset made Lanni a natural fit and within six months she became the executive producer in charge of 4 teams responsible for recruiting show-ready entrepreneurs, sponsorships, and financing to bring the show to set.

“With all my business expertise, I was able to weigh in and work directly with the studio owner and creator. It was a wonderful, wild experience for 18 months,” said Lanni. “It was like going back to college. I loved college. I learned so many new things.”

While talking with entrepreneurs around the world for the show, Lanni would often hear about the causes that mattered most to them and why. Those conversations got her thinking about how to stand out in the increasingly crowded brand space and blend her complimentary roles as a branding influencer and executive producer with her passion for helping entrepreneurs.

“When you’re talking with really smart entrepreneurs about how to save the world, it’s pretty fun. I decided I wanted to be in the conversations about cause. I wanted to help my clients identify and lean into their cause,” said Lanni.

Cause branding became Lanni’s new lane, and her latest enterprise is called Giving Out Loud. It is a media program that focuses on helping entrepreneurs select a cause that aligns with their brand and helping them demonstrate care for that cause.

“If you’re in business and you want to interact with younger generations, figure out what matters to you and talk about it,” said Lanni. “Be in that conversation because that is where things are headed.”

In the simplest terms, Lanni is an entrepreneur who wants to help other entrepreneurs at every level. Including aspiring entrepreneurs at Syracuse University.

“I am a fan of the entrepreneurship focus at Syracuse University. I love being a judge for Invent@SU and being a mentor,” said Lanni. “Have a great time and realize it is a journey. What you’re studying today is more about the people in the room than what is on the page. Really celebrate those relationships.”

2022 Engineering and Computer Science Research Day Awards

2022 Research Day

We are happy to announce the winners from the 2022 Engineering and Computer Science Research Day held on March 25th, 2022.

Poster Competition

1st Place: Elizabeth Oguntade, PhD student in Bioengineering.

On-Demand Activation of Functional Protein Surface Patterns with Tunable Topography
Suitable for Biomedical Applications. Advisor: Dr. James Henderson

2nd Place: Natalie Petryk, MS student in Bioengineering.

Synthesis of Shape Memory Polymer Foams with Off-the-Shelf Components for Improved
Commercialization. Advisor: Dr. Mary Beth Monroe

3rd Place: Alexander Hartwell, PhD student in Mechanical and Aerospace
Engineering.

Introduction of a Multilayered Cathode for Improved Internal
Cathode Tubular Solid Oxide Fuel Cell Performance. Advisor: Dr. Jeongmin Ahn
Honorable Mention: Saif Khalil Elsayed, MS student in Civil Engineering.
Modeling Self-Folding Hybrid SU-8 Skin for 3D Biosensing Microstructures.
Advisor: Dr. Zhao Qin


Oral Presentation Competition


Communication and Security Session

1st Place: Kai Li, PhD student in Electrical/Computer Engineering. Detect and
Mitigate Vulnerabilities in Ethereum Transaction Pool. Advisor: Dr. Yuzhe Tang

2nd Place: Xinyi Zhou, PhD student in Computer/Information Science. “This is
Fake! Shared it by Mistake”: Assessing the Intent of Fake News Spreaders. Advisor:
Dr. Reza Zafarani


Health and Well-being Session


1st Place: Yousr Dhaouadi, PhD student in Chemical Engineering. Forming
Bacterial Persisters with Light. Advisor: Dr. Dacheng Ren


2nd Place: Henry Beaman, PhD student in Bioengineering. Gas-Blown Super
Porous Hydrogels with Rapid Gelling and High Cell Viability for Cell Encapsulation.
Advisor: Dr. Mary Beth Monroe


Energy, Environment & Smart Materials Session

1st Place: Durgesh Ranjan, PhD student in Mechanical and Aerospace Engineering.
Porous nanochannel wicks based solar vapor generation device. Advisor: Dr.
Shalabh Maroo


2nd Place: Alexander Johnson, PhD student in Civil Engineering. Estimating Dry
Deposition of Atmospheric Particles by Rain Washoff from Urban Surfaces.
Advisor: Dr. Cliff Davidson


Sensors, Robotics & Smart Systems Session

1st Place: Lin Zhang, PhD student in Computer/Information Science. Adaptive
Sensor Attack Detection for Cyber-Physical Systems. Advisor: Dr. Fanxin Kong

2nd Place: Zixin Jiang, PhD student in Mechanical and Aerospace Engineering,
Short-term occupancy prediction driven intelligent HVAC control. Advisor: Dr. Bing
Dong

Collaborative Partnership Between Syracuse University and Leading Research Universities Receives Presidential Award

Students walking to and from Carnegie Library in early spring

The GEM Consortium, a collaborative partnership between leading research universities and industry to help underrepresented students earn masters and doctoral degrees in STEM fields, received the 2021 Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring.

Syracuse University has been a member of the GEM Consortium for almost 30 years. In the past 5 years, GEM Fellowships have been awarded to graduate students in the School of Architecture, College of Arts and Sciences, College of Engineering and Computer Science as well as the School of Information Studies. The number of GEM Fellowship applications from SU students is now in the top 10 among GEM member universities. Civil and environmental engineering Professor Dawit Negussey is the current Syracuse University representative on the GEM Consortium.

“The award recognizes the contributions of the GEM Consortium in providing a scalable path to STEM careers in academia and industry for underrepresented students,” said Negussey.

“I’m grateful for all of Professor Negussey’s efforts to grow our graduate education pipeline for underrepresented graduate students at Syracuse University,” said Peter Vanable, dean of the Graduate School. “To go from relatively little activity with the GEM Consortium to being a top 10 contributor of GEM applicants is a clear marker of our commitment to increasing the diversity of our graduate student population.”

Over the past 45 years, more than 4000 GEM Fellows have earned MS and PhD degrees in STEM fields. At present, the GEM consortium membership consists of 129 private and public national universities and 61 major corporations and research laboratories.

Electrical Engineering and Computer Science Professor Pramod K. Varshney Selected to Receive 2021 IEEE Aerospace and Electronic Systems Society Pioneer Award

Pramod Varshney Portrait
Pramod Varshney Portrait

Pramod Varshney, Distinguished Professor of Electrical Engineering and Computer Science, has been selected to receive the 2021 IEEE Aerospace and Electronic Systems Society (AESS) Pioneer Award. The AESS Pioneer award has been given annually since 1949 and is one of the most notable awards in the electronics and aerospace systems field. The award recognizes contributions significant to bringing into being systems that are still in existence today. The contributions for which the award is bestowed are to have been made at least 20 years prior to the year of the award.

The 2021 award will recognize Varshney’s contributions to signal processing and information fusion enabling advanced aerospace and electronic systems.

He will receive the award at 2022 IEEE Radar Conference in New York City in March.

“Professor Varshney has been a trailblazer in the field of complex information processing who has made innumerable contributions over the course of his career.  The Pioneer Award fittingly recognizes that some of his inventions paved the way for today’s rapidly evolving technologies,” said Ramesh Raina, Interim Vice President for Research.

Varshney was also selected to receive the prestigious 2021 Claude Shannon-Harry Nyquist Technical Achievement Award from the IEEE Signal Processing Society for outstanding contributions in the fields of distributed inference and data fusion.

“Within a few months, Dr. Varshney won two prestigious awards from two different IEEE societies. Such an achievement is completely unheard of. He won the 2021 Shannon-Nyquist Technical Achievement Award from the IEEE Signal Processing Society and the 2021 IEEE Aerospace and Electronic Systems Society (AESS) Pioneer Award. The EECS department is incredibly proud of the achievements and recognitions that he truly deserves,” said Jae C. Oh Electrical Engineering and Computer Science Department Chair and David G. Edelstein Professor for Broadening Participation.

Fall 2021 Engineering and Computer Science Dean’s List

SU Campus
The Einhorn Family Walk stretches out in front of the Hall of Languages on a autumn day.

In recognition of superior scholarship, the following students have been entered on the Engineering & Computer Science Dean’s List for Fall 2021.

To be eligible for Dean’s List recognition, the minimum semester grade point average must be 3.40 or higher, must have earned a minimum of 12 graded credits and must have no missing or incomplete grades.

Aerospace Engineering 

Lucy Genevieve Adams

Allyson Almeida

Brady Joseph Arruda

Richard L Bruschi

Curtis James Cline

Bryan Collins

Nicholas Daniel Crane

Brian James Cronin

Christopher John Doherty

Michael Alexander Donato

Benjamin David Faasse

Kassidy Fields

Christian Scott Fitzgerald

Victoria Elizabeth Forsyth

Benjamin Daniel Gerard

Alexandre J Gill

Zachary William Haas

Alyssa Henley

Aidan Hoff

Matthew James Holmes

Paula Cristina Ibelings

Nicholas John Jacobs

Sydney F Jud

Hunter John Adam Knarr

Trevor Anthony Knight

Eleanor Jane Lawler

Isaac Alan Lehigh

Emma Lee Levenson

Maximillian Lipinski

Jacob Eric Long

Powers Craig Lynch

Brendan Michael Marquis

Noah Martel

Elsa Adrianna Martin

Jonathan Henry Martin

Maxwell Joseph Martin

William Armstrong Martin

Jason W McElhinney

Mariana C McManus

Parker Byrne McMillan

Alexander Timothy Metcalf

Romeo Michelson

John P Michinko

Kendra Teresa Miller

Evan Gregory Moore

Brendan Pierce Murty

Mark Namatsaliuk

Tatiyyanah Queen-Asia Hope Nelums

Jarod I Okamura

David Dang Pham

Logan D Prye

Nicholas Christopher Richard

Brandon Walker Riley

Tracey Josephine Rochette

Daniela Maria Ruano-Pinos

Michael Chandler Saksa

William J Saueressig

Fred Evan Schaffer

William Arthur Sennett

Justine John A Serdoncillo

Kanya Kiresh Shah

Vraj Shah

Prabha Singh

Gregory C Slodysko Jr

Zachary Michael Stahl

Ethan J Stocum

Jaime S Sued Jr

Yiyuan Sun

Marco Svolinsky

Richard A Tedeschi

Anthony R Tricarico

Cody Joseph VanNostrand

Diego Roman Villegas

Mason Alexander Weber

Kana Li Wong

Cameron M Woodbury

Melissa Yeung

Bioengineering 

Anthony Drew Acierto

Ashraf Tariq Alnatour

Bianca Louise Andrada

Jason Bae

Anna Mae Brunson

Britnie Jean Carpentier

Lukas Cook

Tessa Riley Decicco

Mia-Marie Fields

Katherine Ann Gardner

Jennifer Gonzalez

Skyla Gordon

Benjamin Michael Grainger

Jenna Grutzmacher

Grace Haas

Lauren Elizabeth Hamilton

Victoria Li Rui Hathaway

Brenna Henderson

Avinash Jagroo

Madeline Jones

Gabriel Khan

Olivia Lynne Kmito

Emily Elizabeth Labour

Quinn Patrick Langdon

Sara Anne Leonardo

Alejandra Eugenia Lopez

Ethan L Masters

Aidan Theresa McCarthy

Aelish McGivney

Ian G McHugh

Lindy M Melegari

Katherine Grace Monroe

Hannah V Murphy

Alexander Patrick Musselman

Mark Nicola

Nicole E Nielsen

Kerrin Anne O’Grady

Mia Dian Paynton

Megan Perlman

Connor Preston

Michael Steven Presunka

Gavin David Richards

Mia Elizabeth Russo

Amira Salihovic

Juliana Sepulveda

Bridget Yong Sides

Katherine Anne Southard

Justin N Stock

Elizabeth Tarami Su

Zhuoqi Tong

Rochan Jitendra Urankar

Hasan Usmanov

Edgardo Velazquez

Danny Vu

Carly J Ward

Nathaniel D Wellington

Maximillian Meier Wilderman

Lauren Margaret Woodford

Rui Xie

Julian Marcus Smucker Zorn

Samantha Yvonne Zysk

Chemical Engineering 

Adriana M Archilla

Athena Andrea Basdekis

Brigitte A Belanger

Sandy Ynhu Cao

Trinity Joy Coates

Dennis Dao

Gabriela Duarte Saadia

Sophia Elizabeth Figueroa

Emily C Fittante

Edward Coleman Fluker

Mia Angela Goldberg

Brent Tadao Gosselin

Avery Gunderson

Christopher Max Hansen

Aiden A Jacobs

Natalia Jarmain

Hope Irene Johnson

Sonia Julius

Sayf Karim

Laxmi Khatiwada

Adam J Klinger

Simran Dharmendra Lakhani

Caroline J Leduc

Rawia F A M Marafi

Angela L Martinez

Sydney Rae Nowicki

Erin Marie Odonnell

Sean O’toole

Eli Irvin Paster

Daniel J Pelkey

Fabiana Nohelia Perez

Nora Swan Prosak

Ryan Gordon Ryersen

Riley Madison Schmerber

Jacob Matthew Shellhamer

Jason Tan

Elizabeth M Wall

Tyrese J Whyte

Jackson Richard Yuen

Civil Engineering 

Shalom Acheampong

Cassie Agren

Nicole Ayora

Maxwell Bell

Christian Balingit Bianco

Henry C Bievenue

Ryan Bourdeau

Matthew Emmet Brewster

Alycia Joline Bruce

Masson Bruening

David Coghiel

Alejandro E Correa

Aymeric P Destree

Kelly Diaz Rojas

Jack Dwyer

Marlee Ann Ecton

Stephen Goffredo

Elliane Reut Greenberg

Julia Ann Johnson-Milstein

Joshua Michael Kaufman

Jakob Lamond Keller

Kate Astrid Kemnitz

Alexander Gregory Klee

Adam Paul Landry

Evangelia Birget Larson

Abigail G Laschalt

Daniel Leyva

Emma Marie Liptrap

Emilija Alise Lizins

Erick Lojano-Quispe

William Ma

John M Mazza

Jessica M McGowan

Lucas James Meiers

Sumit Harshad Mistry

Amira Mouline

Mazin F Moya

Trevor Robert Napoli

Marissa R Nicole

Maxwell Robert Pozar

Kaylin Janet Richards

Alexander David Ruppe

Cassie Elizabeth Saracino

Yazbeck Thomas Sarkees

Juha Wesley Schraden

Aaron Presley Shinn

Caitlin Jane Spillane

Jose Arturo Venegas

Christian Viola

Angelina Maggie Wong

Isabelle Wong

Sarah Wong

Paige H Yamane

Sifei Zhu

Computer Engineering 

Adekunle J Akinshola

Chikeluba K Anierobi

Graciela Gicel Avila

Mergim Azemi

Kyle J Betten

Jackson Thomas Bradley

Carlon Brown

Dynasty Da’Nasia Chance

Kongxin Chen

Ibrahima Diallo

Lyn El Sayed Kassem

Melvin Ruben Escobar Gonzalez

Xavier Evans

Elizabeth A Fatade

Aidan Robert Harrington

Ethan Hensley

Kasey Jackson

Mehak Jetly

Virkin Jimenez

Benjamin N Johnson

Fundi Juriasi

Robert Nicholas Kashian

Bikash Khatiwoda

Jessica K Lat

Tyler Alexander Lavaway

Matthew B Leight

Jiaxiong Li

Nicholas Kent Magari

Kyle Maiorana

Aksel James Malatak

Jacob Stephen Masrouri

Isabel M Melo

Benjamin Hudson Murray

Pierce Austin Neubert

Jose L Olivera

Derrick Nana Yaw Osei Owusu

Alexander C Perez

Anthony Patrick Riello

Alfonso E Rivas

Daniel Rose

Samuel M Rosenthal

Hongyi Ruan

Zachary Joseph Starr

Declan Wavle

Ryan Wolff

Renjie Xu

Andy Zheng

Computer Science 

Aashutosh Acharya

Aaron Alakkadan

Labeeb Alam

Sajjad Abdullah Albadri

Huda A Ali

Anas Abdallah Hussein Alkhashroom

Joseph M Balascio

Simon C Barley

Giovanna Elizabeth Barsalona

Samantha E Bastien

Maxwell Robert Beam

Emma Bellai

Anas Ahmed Benhamida

Joshua Jordan Boucher

Brian Michael Bourne

Amanda Leigh Bowdren

Ella Maria Brink

Bryan Bladimir Bueno Reyes

Christopher Manuel Calderon Suarez

Liam M Calnan

Megan J Campbell

Chih-Chia Chen

Hong Yang Chen

Jackie Chen

Lawrence Chen

Runzhou Chen

Wenyu Chen

Yixing Chen

Yuhao Chen

Oscar Chi

Daniel Chmielewski

Season Chowdhury

Konstantinos Chrysoulas

Melissa Chu

Miguel Angel Cruz Flores

Matthew Cufari

Ryan Matthew Czirr

Salvatore DeDona

Aidan Christopher DeGooyer

Alpha Oumar Diallo

Lucille Jennifer Disalvo

Ting Dong

Christopher Edmonds

Yassin Mahmoud Elsharafi

Ryan Siebe Elsinga

Jair Espinoza

Xueyan Feng

Nathan B Fenske

Bennett Ferrari

Lucas Kuebler Fox

Mason Roy Freer

Evan Garvey

Grant Thomas Gifford

Brianna S Gillfillian

Justin Gluska

John Martin Gorman

Dayong Gu

Alexander Peter-Anthony Haas

Athanasios Hadjidimoulas

Ashley Marie Hamilton

Jillian Elizabeth Handrahan

Liam Gordon Hannah

Cameron Hoechst

Laurel Howell

Jacob Howlett

Jason Huang

Xuanye Huang

Yanju Huang

Chengyi Jiang

Tianyiming Jing

Frederick Jackson Jones

Michael Wesley Jones

Alan Jos

Lauren Keona Kaaiakamanu

Aarya Tara Kaphley

Maxwell Albert Kaufman

Matthew Keenan

Ekaterina Kladova

Joshua Jayvant Zachary Koshy

Krutartha Nagesh

Rami Lionel Kuttab

Janet Jihoo Lee

Maya J’Nai Lee

Jiashu Li

Ruowen Li

Yuxuan Li

Daniel Lim

Chengda Lin

Haochen Lin

Sandy Lin

Erxi Liu

Jiaming Liu

Joshua Zhou Liu

Junzhang Liu

Yuyuan Liu

Cayden Thomas Lombard

Kevin A Lopez

Yiheng Lu

Michael Fitzgerald Lupton Jr

Runzhi Ma

Hunter O’Neal Malley

Andrew Thomas Markarian

Kanoa Matton

Ryan M May

Anthony Louis Mazzacane

Matthew McDaniels

Noah Mechnig-Giordano

Philip Anthony Moceri

Thomas J Montfort

Aaron Masoud Moradi

Jovanni Nicholas Mosca

Chenxi Mu

Andi Muhaxheri

Zoe Anne Neale

Christopher Scott Nemeth Jr

Jillienne Judith Ness

Arianna Kassandra Nguyen

Carlyn M O’Leary

Marissa Lynn Orsley

Daniel Pae

Xiaofeng Pan

Michael J Panighetti

Adya Aditi Parida

Zizheng Pei

Brian Joseph Pellegrino

Carlo Francesco Pisacane

Daniel Pomerantz

Fiona Colleen Powers Beggs

Cheng Qiu

Shane Michael Race

Raasin Amin Rahman

Alexis Hope Ratigan

Christopher Rhodes

Robert R Robinson

Eric Rodriguez

Sadikshya Sanjel

Jonathan Lee Schwenk

Huahao Shang

Andrew Shao

Nolan Lee Shepherd

Chad Thom Smith

Anthony Logan Solt

Dongzhao Song

Yijie Song

Hayden Christopher Spelbring

Jeremy P Stabile

Kevin Sullivan

Nicholas P Sweet

Louanges Essohana Marlene Takou-Ayaoh

Jonathan Richard Constantine Templeton

Jonathan Ezra Thomas

Eduardo Torres-Garcia

Winston Tsui

Randy C Vargas

Kevin Anthony Verdeschi

Kritika Verma

Christopher Mark Vinciguerra

Lihan Wang

Ruobing Wang

Xinyi Wang

Zijian  Wang

Robert Ward

Jack Andrew Willis

Sarah Grace Wlodkoski

Ethan Wong

Zongxiu Wu

Zhuoyi Xiong

Yujie Xu

Jishuo Yang

Yisheng Yang

Yongcan Yang

Stella R Yaunches

Yulun Zeng

Liaotianbao Zhang

Mingyan Zhang

Rixiang Zhang

Ruihao Zhang

Weiwei Zhang

Zhiyuan Zhang

Haoyu Zhao

Jinchao Zhao

Junjie Zheng

Xiao Lin Zheng

Liuyu Zhou

Xinqian Zhou

Yitao Zhou

Yixuan Zhou

Joseph Patrick Zoll

Engineering Undeclared 

Sydney M Baylor

Thomas John Fabiano

Charles James Germosen

Alexander Joseph Hai

Juwei Lin

Luke Benjamin Lybarger

Kathleen Rose Meleski

Annika Daphne Meyers

James Peden

Justin Wayne Pettit

Emily Mae Schiessl

Abdullah Swati

Haoran Wang

Electrical Engineering 

Minghao Ai

Mohammed A Aljohani

Tianle Bu

Kevin E Buciak

Wyatt Glenn Bush

Vincent Alec Camarena

Arianna Maxine Cameron

Leshui Chen

Nicholas Shawn Connolly

Kevin James Donnelly

Henry C Duisberg

Randy Galicia

John Charles Garcia

Justin P Geary

Christopher Gill

Jose Ignacio Ginorio

Joseph Charles Jannello

Michael Matthew Kelly

Dong Kyu Kim

Yiwei Ling

Jemma Mallia

Liam Fuller Marcato

Tyler Sean Marston

Angel Antonio Medina

Lukas Allen Morris

Zixun Nian Nian

Jayson V Okhman

Dylan Palmer

Julia Pepin

Matthew Piciocchi

Francisco Rodriguez

Gilberto E Ruiz

Gabriel E Ruoff

Kayla Ann Saladyga

Jenna Mei Stapleton

Connor Christopher Sumner

Jared William Welch

Environmental Engineering

Tyler James Allison

David Michael Brodsky

Benjamin R Cavarra

Ananya P Chandra

Emma Crandall

Elizabeth Bryant Cultra

Eric James Fitzgerald

Eleanor Elizabeth Gettens

Brady E Hartnett

Christopher Harvey

Nicholas Colin Axel Kohl

Henry David Long

Molly M Matheson

Salma Valles Mohamed

Matthew Edward Nosalek

Liesel Marie Odden

Hennecys Darlene Perez Castro

Ella Hope Phipps

Scott M Potter

Yongfang Qi

Jasmine Victoria Rodriguez

Mary H Schieman

Hayley Shay Scott

Jacob M Tyler

Andrew Michael Vanderwege

Maria Antonia Villegas Botero

Emily Jean Vogel

Anna Wojcik

Savannah Marie Wujastyk

Qiuyu Zhou

Reilly Zink

Mechanical Engineering 

Owyn Phillip Adams

Joshua Carl Arndt

Timothy G Arnold

Charles D Ball

Arthur Barros

Michael James Battin Jr

Erin Beaudoin

Rachael O Beresford

Aidan Paul Bergman

Jeffrey Trent Bernstein

Chloe Marie Britton Naime

Brinley Bruening

Arnaud Buard

Alexander Joseph Callo

Joseph Timothy Capra

Jun Chen

Artur Chuvik

Cooper P Crone

Anthony Cruz

Peter M Daniels

Ryan Russell Dileo

Madeline Doyle

Luyen Duong

Andrew J Esposito

Luke Samuel Fink

Nicholas Andrew Frank

Elan Fullmer

Samuel Ryan Getman

Kara Ai Chun Gorman

Jiayuan Huang

Vian Vishal Jain

Jagger Kachmaryk

Dong Myeong Kang

Jeremy C Kang

Macauley J Kastner

Finnian James Kery

Teagan L Kilian

Cherry Kim

Carl Winston Rice Kjellberg

Justin Kohan

Deanna Summer Koppenjan

Savannah Mae Kreppein

Trevor D Kroells

Nathan Lemoine

Honorata Lubecka

Bei Luo

Lauren Mack

Ryan Patrek Martineau

Michael J McElroy

Ryan A Melick

James Patrick Melitski

Leilah Miller

Wiley Robert Moslow

Beau M Norris

Daniel Panchenko

Nicholas Joseph Papaleo

Nathaniel Ryan Paradis

Tanner Josiah Peck

Corey A Phung

Nicholas Patrick Piano

Alexander Richard

Aidan Riederich

Collin Roche

Jeremy Vinton Rosh

Jeffrey Ryu

Nitish Sachin Satpute

Justin Sauve

Shane Michael Sefransky

William Kaspar Sherfey

Zachary Ryan Shuler

Eric Silfies

Nathaniel Slabaugh

Samuel Theodore Slaiby

Ian Storrs

Matthew K Swanson

Ethan William Tracey

Evan R Tulsky

Alexandra Rose Vaida

Nicholas Valentin

Griffin Riley Vollers

Xu Wang

Michael David Wehrle

Justin H Westhuis

Taj Asim Whitney

Michael Wong

Systems & Information Science

Connor W Gurnham

Stacy Kim

Akshay Ram

Zachary Tyler Williams

Syracuse University Ranked #24 for Best Online Graduate Information Technology Programs by U.S. News and World Report for 2022

Syracuse University’s School of Information Studies (iSchool) and the College of Engineering and Computer Science have been recognized as No. 13 in the rankings for Best Online Graduate Information Technology Programs for Veterans and have been ranked No. 24 for Best Online Graduate Information Technology Programs by U.S. News & World Report for 2022.

The full rankings, released earlier today, are available on the U.S. News & World Report website.

The College of Engineering and Computer Science offers online master’s degree programs in cybersecuritycomputer science and computer engineering.

The iSchool offers M.S. degree programs in applied data scienceinformation management and library and information science online.

Distinguished Professor Pramod K. Varshney Selected to Receive 2021 Shannon-Nyquist Technical Achievement Award from the IEEE Signal Processing Society

Electrical engineering and computer science Distinguished Professor Pramod K. Varshney has been chosen to receive the prestigious 2021 Claude Shannon – Harry Nyquist Technical Achievement Award from the IEEE Signal Processing Society for outstanding contributions in the fields of distributed inference, and data fusion.

The Claude Shannon – Harry Nyquist Technical Achievement Award was established by the Institute of Electrical and Electronics Engineers (IEEE) to honor those who have made outstanding technical contributions to theory and/or practice in technical areas within the scope of the society, as demonstrated by publications, patents, or recognized impact on the field. There are over 400,000 IEEE members in over 160 countries and this award is annually given to one or two individuals.

“I am truly honored to receive this prestigious award. It is a testament to the outstanding research performed by my students, post docs and collaborators in Syracuse and around the globe,” said Varshney.

“I am extremely happy about Professor Varshney receiving this well-deserved prestigious award,” said Electrical Engineering and Computer Science (EECS) Department Chair Jae C. Oh.  “He continues to excel in the field of data fusion and distributed inference. He is a world-renowned researcher whom our EECS department is so proud of. It is no surprise that he receives this prestigious award bearing the names of the giants such as Claude Shannon and Harry Nyquist, the names recognized by every electrical engineer in the world.”

“The Shannon-Nyquist Award is one of the most notable awards in the signal processing field and a world-renowned leader like Pramod is very deserving of it,” said Engineering and Computer Science Dean J. Cole Smith.

Electrical Engineering and Computer Science Professor Kevin Du Receives “Test of Time” Award from the Computer Security Applications Conference

Electrical engineering and computer science Professor Kevin Du was awarded the Test of Time award at the 2021 Annual Computer Security Applications Conference (ACSAC) for his paper “Privacy-Preserving Cooperative Statistical Analysis” that was originally published in 2001.

“This paper provided a new way to conduct joint computation while protecting data privacy. There were a lot of follow-ups on this approach,” said Du. “Many young researchers told me that they ‘grew up’ reading my papers in this field.”

This is the second time Du has won a Test of Time award. He previously won one in 2013 at the ACM Conference on Computer and Communications Security for a paper titled “A Pairwise Pre-Distribution Scheme for Wireless Sensor Networks” he published with Professor Jing Deng, Professor Yunghsiang S. Han and Distinguished Professor Pramod Varshney in 2003.

Electrical Engineering and Computer Science Alumni Spotlight – Niket Kothari G’02

In his current role as a partner engineering manager at Microsoft, Niket Kothari G’02 is responsible for the design, provisioning, and operations of the company’s worldwide regional and data center networks. Since starting at Microsoft in 2014, Kothari helped transform the business by leveraging the power of automation to build and manage infrastructure at scale. He currently manages a team of network engineers, software engineers and data scientists around the world.

“We worked to identify key metrics, build software systems, and deliver efficiencies in operational excellence for the hyperscale network infrastructure,” said Kothari. “We were also able to enable new cloud offerings and multiple other initiatives that reduced the overall network cost of goods sold.”

Prior to his current role, Kothari spent 7 years at Google, and 5 years at 2 different start-up companies focused on building infrastructure to support software-as-a-service offerings to international customers. During his professional tenure, Kothari has worked across different functional areas related to large scale infrastructure, with experience in content delivery network rollout, long-term network planning, infrastructure acquisition, and building networks across the globe.

“I’m passionate about solving complex technical problems along with building and mentoring high performing teams with diverse skills and backgrounds,” said Kothari. “I’m actively involved in helping recruit the next set of talent for Microsoft.”

Syracuse University and the faculty at the College of Engineering and Computer Science played a key role in helping Kothari build the strong technical foundation that he has leveraged through his professional career.

“I came to the United States to earn my degree in 2000 and Syracuse University is what I now consider my home,” said Kothari.

He met his wife Bhumika Kothari G’02 while he was at Syracuse University.

“We spent many hours working together on assignments in the lab, while also competing for the on-campus jobs and assistantship opportunities at the University,” said Kothari.

He and his wife hope their two daughters will follow in their parents footsteps and attend Syracuse University.

“If they are successful with managing its cold winters,” said Kothari with a laugh.

Lights, Camera…Cybersecurity!

Electrical engineering and computer science professor Kevin Du wanted to up the production value of the cybersecurity instruction videos he has been posting to YouTube and decided to construct a studio inside his lab space.

“I used to have one in home at my basement but that one has a problem because my family just walked around,” said Du. “So I decided I’m just going to build one in the corner of the lab.”

Electromagnetics

Antennas and propagation, Waves in Complex Media, Remote Sensing, Electromagnetic Theory.

Electromagnetic Theory, Electromagnetic Behavior in complex media, Antenna design and modeling, Antenna measurement.

Optics, Photonics, Novel molecular electronic materials.

Introducing the Inaugural Patrick P. Lee Scholars in the College of Engineering and Computer Science

Lee Scholars

Syracuse University’s College of Engineering and Computer Science is honored to announce our inaugural Patrick P. Lee Scholars. The Lee Foundation’s largest scholarship program supports students at institutions of higher learning who are pursuing careers in engineering and other technical fields.

Joli Cacciatore is a fourth year Civil Engineering student from Niagara Falls, NY. Since arriving at SU she has been part of the ECS Ambassador Scholars program which conducts outreach to local middle schools to foster interest in STEM and provide positive educational role models. She is a member of the SU student chapters of the National Society of Professional Engineers, the Society of Women Engineers, and the American Society of Civil Engineers.

Stacy Kim is a fourth year Systems Information Science major from Staten Island, NY. She has several leadership positions in campus organizations including Vice President of the Society of Asian Scientists and Engineers and Community Service Chair for Kappa Theta Pi through which she conducted outreach to local high schools to help with the transition to online learning. Since 2019 she has worked for the Barnes Center in health promotion for her fellow students and during the pandemic has been helping administer and process COVID tests on campus.

Aymeric Destrée is a third year Civil Engineering major from San Marcos, CA. He is a member of the Ambassador Scholars program and enjoys working with children in the Syracuse public school system to introduce engineering concepts and problem solving skills through fun after school activities. He plans a career in public infrastructure and is particularly interested in transportation and urban design.

Olivia Kmito is a third year Bioengineering student from Bridgewater MA. She is a student athlete on the SU Gymnastics team and a member of the Alpha Xi Delta sorority and the Society of Women Engineers. She has a long term commitment to the March of Dimes organization inspired by a personal connection to their work. Following in the footsteps of her father, an SU engineering alum, she believes an engineer must value “integrity, leadership, and service” and most of all take seriously the trust that their colleagues, their clients, and the public place in them and their work.

Reza Zafarani

Degree:

  • Ph.D., Arizona State University

Research Interests:

  • Big Data Analytics
  • Data Mining / Web Mining / Social Media Mining
  • Social Network Analysis / Social Computing
  • Large-Scale Information Networks
  • Behavior Analysis

Current Research:

My research lies in the intersection of data mining, machine learning, social sciences, and theory. A common pattern in my research is to collect and analyze large scale data to glean actionable patterns. I often employ theories from social sciences, psychology, or anthropology, in addition to developing and using advanced mathematical, statistical, and machine learning machinery to prove the validity of such patterns.

Courses Taught:

  • Data Mining
  • Social Media Mining

Selected Publications:

Reza Zafarani and Huan Liu, Evaluation without Ground Truth in Social Media Research, Communications of the ACM, June 2015

Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu, Social Media Mining: An Introduction, Cambridge University Press, 2014

Edmund S. Yu

Degree:

  • Ph.D. in Computer Science, Syracuse University

Research Interests:

  • Text Mining
  • Social Networks
  • Social Media Mining
  • Information Retrieval
  • Multi-Agent Systems

Current Research:

Current research involves the development of algorithms for measuring the emotional contents in tweets, contained not only in words, but also in emoticons, punctuation marks and hashtags; for event prediction based on social media data; and for extending sentiment analysis to multiple languages. Current research also involves continuing work on building autonomous agent-based information gathering system for decision support.

Courses Taught:

  • Social Media Mining
  • Software Specification and Design
  • Software Implementation
  • Principles of Software Engineering
  • Web Systems

Recent Publications:

A. Panasyuk, E.S. Yu & K. Merhrotra, “Controversial Topic Discovery on Members of Congress with Twitter,” Complex Adaptive Systems, 2014.

M. Rahman, Qinyun Zhu, & E.S Yu, “TRECT: A Hashtag Recommendation System for Twitter,” 2nd International Workshop on Recommender Systems meet Big Data & Semantic Technologies, 2013.

E.S. Yu, “Social Media Marketing and Mining,” Social Media Strategies Seminar, Panama City, Panama, January 17, 2013.

E.S Yu, “From Knowledge Exchange to Knowledge Discovery,” Capstone Conference, Chicago, July 14, 2010.

Li Wang

Degrees:

  • BA of Electrical & Computer Engineering, Central South University, China
  • MS of Computer Science, Louisiana Tech University

Research Interests:

  • Intelligent Systems (Data Mining & Network Analysis)
  • Big Data Analytics
  • System Security

Courses Taught:

  • CSE 581 Introduction to Database Management System
  • CIS 342 Introduction to System Programming
  • CIS 223 Statistical Reasoning & Practice
  • CPS 196 Introduction to Programming
  • CPS 181 Introduction to Computing

Pramod K. Varshney

Degree(s):

  • Ph. D. (Illinois) 1976

Lab/Center Affiliation(s):

  • CASE, Director

Research Interests:

  • Distributed sensor networks and data fusion
  • Detection and estimation theory
  • Wireless communications
  • Radar signal processing
  • Physical layer security

Current Research:

There are two broad areas of current research. First deals with fusion of information from a variety of heterogeneous sources. Novel fusion and sensor management algorithms are being developed that enhance system performance as well as conserve system resources such as bandwidth and energy. Typical signal processing tasks are detection, localization, tracking and classification of objects and events. Distributed algorithms based on compressive sensing for these signal processing tasks are also being developed. The second area deals with cognitive networks where network throughput is to be maximized via active sensing and control under a number of system constraints. Security threats such as Byzantines and jamming are being investigated. Mitigation approaches are being developed using game theoretic concepts.

Courses Taught:

  • Detection and estimation theory

Honors:

  • IEEE Fellow 1997
  • Third Millennium Medal IEEE 2000
  • Judith A. Resnik Award IEEE 2012
  • President International Society of Information Fusion 2001.
  • Honorary Doctorate Degree, Drexel University, 2014
  • Distinguished Alumni Award, ECE Department, Univ. of Illinois, 2015

Selected Publications:

Books

K. Varshney, Distributed Detection and Data Fusion, Springer-Verlag, 1997.

L. Foresti, C. S. Regazzoni, and P. K. Varshney (eds.), Multisensor Surveillance Systems: The Fusion Perspective, Kluwer Academic Press, 2003.

K. Varshney and M. K. Arora (eds.), Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data, Springer Verlag, 2004.

Journal Papers

Cao, N., Brahma, S. K., and Varshney, P. K., “Target Tracking via Crowdsourcing: A Mechanism Design Approach,” IEEE Trans. Signal Process., vol. 63, no. 6, pp. 1464-1476, Mar. 15, 2015.

Vempaty, A., He, H., Chen, B., and Varshney, P. K., ” On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks,” IEEE Trans. Signal Process., vol. 62, no. 20, pp. 5359-5369, Oct. 15, 2014.

Chen, H., Varshney, L. R., and Varshney, P. K., ” Noise-Enhanced Information Systems,” Proc. IEEE, vol. 102, no. 10, pp. 1607-1621, Oct. 2014. (Invited)

Wimalajeewa, T., and Varshney, P. K., “OMP Based Joint Sparsity Pattern Recovery Under Communication Constraints,” IEEE Trans. Signal Process., vol. 62, no. 19, pp. 5059-5072, Oct. 1, 2014

Vempaty, A., Tong, L. and Varshney, P. K., “Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks,” IEEE Signal Process. Mag., vol.30, no.5, pp.65-75, Sept. 2013

Vempaty, A., Varshney, L. R., and Varshney, P. K., “Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory,” IEEE J. Sel. Topics Signal Process., vol. 8, no. 4, pp. 667-679, Aug. 2014

Chen, H., Chen, B. and Varshney, P. K., “A New Framework for Distributed Detection with Conditionally Dependent Observations,” IEEE Trans. Signal Process., vol. 60, no. 3, pp. 1409-1419, Mar. 2012

S. Rawat, P. Anand, H. Chen and P. K. Varshney, “Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks,” IEEE Trans. on Signal Process., vol.59, no.2, pp.774-786, Feb. 2011

Masazade, R. Rajagopalan, P. K. Varshney, C. Mohan, G. K. Sendur, and M. Keskinoz, “A Multi-objective Optimization Approach to Obtain Decision Thresholds for Distributed Detection in Wireless Sensor Networks,” IEEE Transactions on Systems, Man, and Cybernetics – Part B, Vol. 40, No. 2, Apr. 2010

Masazade, R. Niu, P. K. Varshney, M. Keskinoz, ”Energy Aware Iterative Source Localization Schemes for Wireless Sensor Networks,” IEEE Trans. Signal Process., vol.58, no.9, pp.4824-4835, Sept. 2010.

Ozdemir, R. Niu, and P. K. Varshney, “Tracking in wireless sensor networks using particle filtering: Physical layer considerations,” IEEE Trans. Signal Process., vol.57, no. 5, pp. 1987-1999, May 2009

Niu, B. Chen, and P. K. Varshney, “Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks,” IEEE Trans. Signal Processing, vol. 54, pp. 1018-1027, Mar. 2006.

N. Heo and P. K. Varshney, “Energy-efficient deployment of intelligent mobile sensor networks,” IEEE Trans. Syst., Man, Cybern. A, vol. 35, pp. 78-92, Jan. 2005.

Senem Velipasalar

Degree(s):

  • Ph. D., Electrical Engineering, Princeton University, Princeton, NJ, 2007
  • M.A., Electrical Engineering, Princeton University, Princeton, NJ, 2004
  • M.S., Electrical Sciences and Computer Engineering, Brown University, Providence, RI, 2001
  • B.S., Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 1999

Research Interests:

  • Computer vision
  • Video/image processing
  • Wireless smart camera networks (Wi-SCaNs)
  • Distributed smart camera systems
  • Mobile camera applications
  • Multi-camera multi-object tracking
  • Video event detection
  • Object recognition
  • Image understanding and multimedia
  • Pattern recognition
  • Detection and estimation
  • Statistical learning
  • Signal processing

Current Research:

Dr. Velipasalar’s primary areas of research are embedded computer vision, mobile camera applications and wireless embedded smart cameras, which combine sensing, processing and communication on a single embedded platform. Dr. Velipasalar has been working on designing resource-efficient algorithms that are suitable for embedded platforms, fall detection, step counting and activity classification with wearable cameras, traffic light detection and alert signal detection with vehicle-mounted cameras, distributed target detection and tracking across overlapping and non-overlapping cameras, and resource allocation strategies and detection of events of interest on embedded smart cameras. Potential uses include military surveillance, public transportation, health care and elder care, traffic systems, and industrial and retail applications.

Lab website: www.vision.syr.edu

Courses Taught:

  • Image and Video Processing
  • Multi-camera Systems
  • Introduction to Embedded System Design
  • Electrical Engineering Fundamentals

Honors/Awards:

  • NSF CAREER Award, 2011
  • 2014 Excellence in Graduate Education Faculty Recognition Award
  • Graduate School All University Doctoral Prize, received by Dr. Velipasalar’s former Ph.D. student Akhan Almagambetov, 2014.
  • Intelligent Transportation Society (ITS) of NY Best ITS Student Essay Award, received by Dr. Velipasalar’s former Ph.D. student Akhan Almagambetov, based on their research on vehicle taillight tracking and alert signal detection, May 2013.
  • The college-wide award for “Applicability of Research to Business and Industry”, Nunan Lecture and Research Day, April 2013.
  • Third place paper award at the ACM/IEEE International Conference on Distributed Smart Cameras for the paper titled “Energy-efficient Feedback Tracking on Embedded Smart Cameras by Hardware-level Optimization”, 2011
  • EPSCoR First Award, 2009
  • UNL Layman Award as Co-PI, 2009
  • Best Student Paper Award at the IEEE International Conference on Multimedia & Expo (ICME) for the paper titled “Design and Verification of Communication Protocols for
  • Peer-to-Peer Multimedia Systems,” 2006
  • IBM Patent Application Award, 2005
  • Travel Grant, Office of Graduate Affairs, Princeton University, 2005
  • Graduate Fellowship, Princeton University, 2002
  • Graduate Fellowship, Brown University, 1999
  • NETAS Scholarship given on highly selective basis to successful engineering students, 1999
  • Sabanci Scholarship for outstanding success at the university entrance examination, 1994
  • The award from Is Bank to the top 70 students, out of about 1 million, in the university entrance examination, 1994

Selected Publications:

(Please visit https://ecs.syr.edu/faculty/velipasalar/ for a complete list)

Yuzhe Tang

Degree:

  • Ph.D. Computer Science, Georgia Tech

Research Interests:

  • System Security: Verifiable database outsourcing, cloud security, applied cryptography, multi-party computation, secure healthcare applications
  • Big-Data Systems: Key-value stores, big-data analytics, graph databases, data streaming
  • Performance: Scalability and elasticity, distributed system tracing, profiling and monitoring, automatic performance optimization, stress testing

Current Research:

Yuzhe Tang’s research interests are in building secure distributed with a current research focus on making modern database trustworthy and applying multi-party computations for federated big-data computation.

Courses Taught:

  • Advanced computer architecture, distributed systems in cloud

Selected Publications:

Yuzhe Tang, Arun Iyengar, Wei Tan, Liana Fong, Ling Liu, B. Palanisamy. “Deferred Lightweight Indexing for Log-Structured Key-Value Stores”, in CCGrid’15, the Best Paper Award

Yuzhe Tang, Ling Liu. “Privacy-Preserving Multi-Keyword Search in Information Networks”, in TKDE’15

Yuzhe Tang, Ting Wang, Ling Liu, Xin Hu, Jiyong Jang. “Lightweight Authentication of Freshness in Outsourced Key-Value Stores”, in ACSAC’14

Yuzhe Tang, Ling Liu, Arun Iyengar. “e-PPI: Locator Service in Information Networks with Personalized Privacy Preservation”, in ICDCS’14

Yuzhe Tang, Bugra Gedik. “Auto-pipelining for Data Stream Processing”, in TPDS’13, Vol 24(12), pp 2344-2354

Yuzhe Tang, Jianliang Xu, Shuigeng Zhou, Wang-Chien Lee, Dingxiong Deng, Yue Wang. “A Lightweight Multi-dimensional Index for Complex Queries over DHTs”, in TPDS’11, Vol 22(12), pp 2046-2054

Yuzhe Tang, Shuigeng Zhou, Jianliang Xu. “LIGHT: A Query-Efficient yet Low-Maintenance Indexing Scheme over DHTs”, in TKDE’10, Vol 22(1), pp 59-75

Department of Electrical Engineering and Computer Science Announces New Faculty

The College of Engineering and Computer Science is proud to announce four new faculty in the Electrical Engineering and Computer Science Department.

Jean-Daniel Medjo Me Biom

Jean-Daniel Medjo Me Biomo joins the College as an Assistant Teaching Professor in Fall 2021. At Syracuse University, Medjo Me Biomo will teach classes in electrical engineering and computer science, including but not limited to Electrical Engineering Laboratory I and Linear Systems Laboratory. Prior to joining Syracuse University, Medjo Me Biomo was a Sessional Lecturer (2019-2021) and a Postdoctoral Fellow (2020-2021) in the department of Systems and Computer Engineering at Carleton University, Canada. In his teaching capacity, he taught various courses, including Digital Communications, Algorithms and Data Structures, Computer Systems Design, and Probability and Random Processes for Engineers. In his postdoctoral researcher capacity, Medjo Me Biomo’s research work has focused on AI-enabled satellite networks within the Optical Satellite Communications Canada (OSC) framework of National Research Council Canada (NRC). He contributed to the 2021 edition of the “IEEE International Network Generations Roadmap” for satellites. Prior to that, as a graduate student, his research focused on unmanned aerial vehicles’ ad hoc networks. He has published 10+ conference and journal papers. He is an IEEE member. Medjo Me Biomo received the B.Eng degree in Electrical Engineering from Polytechnique Montréal in 2010. He received the M.A.Sc and Ph.D. degrees, both in Electrical and Computer Engineering, from Carleton University in 2014 and 2019 respectively.


Nadeem Ghani

Nadeem Ghani (he/him/his) joins the College as an assistant teaching professor in fall 2021. At Syracuse University, Ghani will teach introductory classes in Computer Science. Prior to joining Syracuse University, Ghani spent many years in Silicon Valley, working at Netflix, Salesforce, IBM and various startups. Ghani earned a Ph.D. in Biophysics in 1995 from The Ohio State University, and a B.S. in Physics in 1988 from Caltech.


Jung-Eun Kim

Jung-Eun Kim joins the College as a tenure-track assistant professor in Fall 2021. Prior to joining Syracuse University, Kim was an associate research scientist in the Department of Computer Science at Yale University. Kim’s research focuses on Cyber-Physical Systems for applications ranging from safety-critical systems to machine learning/AI. Especially the primary interest lies in systems which require safety and timing guarantees and predictability. She is a Co-PI on an NSF SaTC (Secure and Trustworthy Cyberspace) CORE (2020-2023.) She was awarded GPU Grant from NVIDIA Corporation, selected for the MIT EECS Rising Stars, and a recipient of the Richard T. Cheng Endowed Fellowship. She received her PhD degree in Computer Science at the University of Illinois at Urbana-Champaign, and her MS and BS degrees in Computer Science and Engineering at Seoul National University, Korea.


Joao Paulo

Joao Paulo Oliveira Marum is joining the College as an assistant teaching professor. He earned both his MS and his PhD in Computer Science from the University of Mississippi (USA). His research is focused in using multi-paradigm programming to solve accuracy issues on User Interactive System, especially in Virtual and Augmented Reality. Professional member of the Association of Computing Machinery (ACM) and Institute of Electrical and Electronical Engineering (IEEE), IEEE Computer Science Society and the Order of Engineer. For 5 years he was a graduate instructor at the University of Mississippi, teaching programming languages for major and non-major students. He was also a researcher at the Hi5 (High FIdelity Virtual Environments) laboratory at the University of Mississippi. Articles published in ICAT – EGVE (Eurotronics – Virtual Environments), IEEE SouthEastCon, ACM SouthEast and IEEE VR (Most prominent congress in the area of Virtual Reality).

Sucheta Soundarajan

Degree:

  • PhD, Computer Science (2013, Cornell University)

Research Interests:

  • Data mining
  • Social network analysis
  • Community detection
  • Applications to social and life sciences

Current Research:

Dr. Soundarajan’s research focuses on the structure of social and other real-world networks. She is interested in a variety of problems related to social network analysis, including community detection, link prediction, and network similarity. She is currently studying how communities change over time and, in particular, the structural factors that influence a community’s evolution. She is also interested in developing methods to obtain accurate samples of large network.

Courses Taught:

  • CIS 675 (Design and Analysis of Algorithms): Fall 2015

Selected Publications:

Sucheta Soundarajan and John Hopcroft. Use of Local Group Information to Identify Communities in Networks. ACM Transactions on Knowledge Discovery from Data (TKDD). 2015.

Sucheta Soundarajan, Tina Eliassi-Rad, and Brian Gallagher. A Guide to Selecting a Network Similarity Method. SIAM Conference on Data Mining (SDM). 2014.

Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, and Robert Kleinberg. A Separability Framework for Analyzing Community Structure. ACM Transactions on Knowledge Discovery from Data (TKDD-CASIN). 2014.

Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, and Robert Kleinberg. On the Separability of Structural Classes of Communities. 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2012.

Sucheta Soundarajan and John Hopcroft. Using Community Information to Improve the Precision of Link Prediction Methods. World Wide Web (WWW) 2012.

Five Questions with IBM Senior Vice President Bob Lord ‘85

IBM Senior Vice President Bob Lord

2021 Engineering and Computer Science convocation speaker Bob Lord ’85 is IBM’s Senior Vice President, Worldwide Ecosystems.

He is focused on ensuring the success of IBM customers, partners and developers using the company’s hybrid cloud and AI software as well as The Weather Company, which is an IBM business.

At the center of Bob’s work is a commitment to the open source community. He is responsible for IBM’s participation and leadership in dozens of open source communities; contribution and donation of open source code; and overall industry advocacy. A prime example is Call for Code, which Bob launched in 2018 to give developers and problem solvers access to IBM tools and technologies as a means to solve global, societal challenges. Since launch, over 400,000 developers and problem solvers from over 179 nations have built solutions for an immediate and lasting impact in society.

We asked Bob five questions about his experience at Syracuse and advice for current undergrads:

How did you know Syracuse University was the best place for your undergraduate degree?

From the moment I stepped on campus nearly four decades ago, I knew Syracuse was the place for me.

Without question it was the perfect undergraduate environment because it provided so many opportunities for me to discover what I was most passionate about. I wasn’t pigeonholed into one area of study at the tender age of 18, but rather was encouraged to take advantage of the many options available at SU. And without that breadth of exposure, who knows… maybe instead of speaking to new graduates of the College of Engineering and Computer Science this past weekend I might have become a dentist or criminal defense lawyer, which I explored as a freshman. SU helped me realize what I wanted to become, but more importantly allowed me to decide what I didn’t want to do.

What are some of your favorite memories from your time on campus as a student?

There are so many great memories. I’ll start at the beginning: move-in day my freshman year. My dad dropped me at Kimmel Hall alone for the first time in my life. But just as that reality began to set in, my new roommate arrived, followed by a slew of other new students. I quickly realized I was surrounded by people who were going through the same thing as me. That was the day I began to build some of the most enduring friendships of my life… friendships that remain strong to this day and I will be eternally grateful for.

It was also the day that I was first introduced to a population that was much more diverse than my Catholic neighborhood in Northern New Jersey. It was the beginning of my understanding of the power of diversity and inclusion. The more I learned from others, the more critical my thinking became and the more I grew as a human being.

How did your Syracuse experience help you in the early stages of your career?

I credit Syracuse for getting my career started. I was fortunate to be accepted into the engineering co-op program, so in the summers I would work at General Motors as a shift supervisor and engineer. Being immersed in that setting had a powerful effect on me. It validated that I was absolutely on the right career path, exposed me to a high-performance workplace, and gave me the relevant experience and confidence I needed to ultimately land a full-time position as an industrial engineer at Corning Glass Works.

I had countless experiences as an undergrad that equipped me to succeed in my first job and that I draw upon to this day. For instance, thanks to the rigorous and challenging course load that had me in Bird Library so much, I developed the skill of managing massive volumes of work, prioritizing what required immediate attention and developing a systematic approach to completing assignments.

What are some of the lasting influences Syracuse University has had on you?

That’s easy. I met my wife of 29 years, Robin, at Syracuse. Talk about a lasting influence! Both of my daughters also went to SU, and in fact my youngest graduated this weekend with a dual degree from the Falk and Whitman schools. I suppose you could say orange runs through the Lord family and I wouldn’t want it any other way.

I also attribute much of my development as a person and as a leader to what I learned during my formative years at Syracuse. It’s where the seeds of what I now refer to as a “growth mindset” were planted – something I strive to embrace in both my personal and professional life. It can be summarized by three core tenets:

First, be a problem solver, not a problem explainer. The world doesn’t need more people to talk about the problems we’re faced with; we need people who will take action. This was ingrained in me at the College of Engineering and Computer Science, where we were presented with problems and held accountable to finding solutions. And it’s why I’m so passionate now about initiatives like Call for Code.

Second, learn it all, don’t know it all. At Syracuse, I got a healthy dose of humility early on, and it became quickly apparent that I had SO much to learn. Once I accepted that, I experienced exponential growth, and I’ve committed myself to being a perpetual student to learn all that I can.

Third, be open and transparent. Some of the best development of my life has come from constructive criticism. It’s something I was no stranger to at Syracuse and I’ve found that accepting feedback as helpful guidance has gotten me a lot further than being defensive and viewing it as an attack. On the flipside, as a manager I take care to provide candid feedback to those around me so they may also grow.

What advice would you give to current engineering and computer science students?

I cannot emphasize enough to current students that they have a golden opportunity. They have the ability to take advantage of all this world-class institution has to offer, from renowned educators and facilities, to innovative programs and activities, and an array of courses and experiences. Seize that opportunity!

Go beyond your comfort zone, keep an open mind, and challenge yourself. Take electives that force you to learn something completely different and trigger another part of your brain. Explore ways you can get exposure to the industry’s best and brightest, like through the Blackstone LaunchPad & Techstars. Join clubs and pursue activities that pique your interest or that you’re even just mildly curious about because it may ignite a passion you didn’t know existed.

All of these things will contribute to the quest I encourage you all to pursue: to find your purpose, and to begin charting a path to develop skills you can apply in service of that purpose.

This is perhaps the only time in your life you’ll be able to partake in such a wide range of experiences in a condensed period of time. Don’t let it pass you by. Trust me, you’ll find yourself frequently drawing upon those experiences for years to come.

A Lifetime of Service: Remembering Dean Emeritus Bradley Strait ’58, G’60, G’65

Dean Emeritus Brad Strait

For many years Dean Emeritus Bradley Strait ’58, G’60, G’65 led the Syracuse University academic procession at Syracuse University’s commencement as the Mace Bearer. The Mace Bearer is a role that recognizes the importance of the University’s mission as an education institution. It was also a role that symbolized Strait’s relationship of more than 60 years with the College of Engineering and Computer Science, helping lead students, faculty, research and academic programs forward.

“Brad exemplified what it means to be Orange.  I do not know anyone else who commanded such complete respect across campus than he did,” says electrical engineering and computer science Professor Shiu-Kai Chin ’75, G’78, G’86.

Strait passed away in his hometown of Canandaigua, NY on May 6th, 2021. He leaves behind an unparalleled legacy as a student, professor and as dean of the College from 1981-1984 and again from 1989-1992.

He came to Syracuse University after serving in the U.S. Navy from 1951-1955 as an electronics technician. After being discharged, he studied electrical engineering. Syracuse University Life Trustee Charles Beach ’58, G’67 was his roommate and fraternity brother in Phi Gamma Delta. They remained close friends for the next 67 years.

“He really bled orange. He loved Syracuse University, he loved teaching and loved his students,” says Beach.

While he was an undergraduate student, Strait met Nancy Brown, who was a student in the University’s College of Fine Arts. Brad and Nancy married in 1957 and graduated in 1958. They moved to the Syracuse suburb of Jamesville where they raised their children, Andy and Martha. Brad and Nancy later established the Jamesville Museum which collected important pieces of the town’s history and memories of its neighbors.

After graduation, Strait worked briefly at Eastman Kodak before returning to Syracuse for a master’s degree and his doctorate. He then became a faculty member known for taking extra time to work with students and young researchers and making sure they were successful in all aspects of their life, not just the classroom.

He was a member of the university’s world-renowned electromagnetics research group and became chair of the then department of electrical and computer engineering in 1974. One of his early hires was current electrical engineering and computer science Distinguished Professor Pramod K. Varshney.

“Brad did a marvelous job in his role as the leader of a premier department,” says Varshney. “As department chair, he established a close relationship with the Rome Air Development Center (now Air Force Research Laboratory) resulting in significant research funded by US Air Force at Syracuse University.”

“Brad was my first academic advisor when I came to SU in the Fall of 1971.  He remained a near and dear mentor throughout my academic career,” says Chin. “His advice to me was always straightforward and direct. Always do what is best for the academic program, always teach a course even if you are in a leadership role and remember that the people you see on the way up are the same people you see on the way down.”

Strait went on to serve as the Dean of the College of Engineering and Computer Science from 1981-1984 and 1989-1992. He was a relentless advocate and recruiter for Syracuse University, always looking to bring the best students and faculty to Central New York.

“Brad was one of the main reasons why I came to Syracuse University as a faculty member,” says mechanical and aerospace engineering Professor Ed Bogucz. “Brad’s personality was a big factor.”

In addition to recruiting for academic roles, Strait was always recruiting for the College’s softball team and a weekly basketball league.

“Many of the players, including myself, were young people who looked at Brad as a role model of how to live an active and fulfilling life balancing family, employment, faith and active recreation,” says mechanical and aerospace engineering Professor Alan Levy. “On the court Brad was a fierce competitor and, like all of us, he liked to win. But he was gracious in victory and defeat. Brad played in the game until he was about 80 years-old and he never lost his spark racing up and down that full court.”

Strait took pride in building connections across the university through softball games played against other colleges and departments.

“A lot of relationships were cemented by getting to know people during those games,” says Beach.

Always looking forward, Strait expanded collaborations with industry partners and worked to connect them with current research activity at Syracuse University. During his tenure as Dean, New York State designed the Centers of Advanced Technology (CAT) program and under Strait’s leadership the University received one of the 6 CATS. To make sure the center got off the ground, he left his Dean position and became the Founding Director of the Computer Applications and Software Engineering Center (CASE).

“He was instrumental in getting state funds to build the Center for Science and Technology (CST). Without his vision of CASE and his leadership, CST would not be built,” says Varshney. “CASE continues to flourish even today as a preeminent center that champions economic growth in the state of New York via its outstanding research activities with New York State.”

“When I became Dean of Engineering and Computer Science, I developed the concept for the Syracuse Center of Excellence following the approach that Brad had pioneered for the CASE Center,” says Bogucz.

Strait retired but always remained an active member of the Engineering and Computer Science family, serving as Dean Emeritus. He and Nancy also established the Bradley J. and Nancy B. Strait Scholarship to assist future generations of Syracuse University students.

He leaves behind a legacy of supporting and mentoring generations of young engineers and computer scientists. During a devoted life of service to Syracuse University, he provided guidance and encouragement at a crucial point in countless lives.

“I am forever blessed because he was part of my life. Those of us who are left must do our best to help the others who come after us like Brad did,” says Chin “Every time I am in the Dome during Commencement. I can still see Brad faithfully leading the procession as Mace Bearer guiding us to where we need to be.”

A memorial service at for Bradley Strait at Hendricks Chapel is planned for June 17th, 2021 at 5:00pm. A livestream of the event will be available.  

Wearable Dehydration Monitoring Device Takes First Place at Invent@SU 2021

Students in the Invent@SU Program

For the first few weeks of Invent@SU, physics major Paul Franco ’22, aerospace engineering student Zach Stahl ’23 and computer science student Anthony Mazzacane ’24 were not always sure their concept would work out. They had identified a clear problem – 80% of NCAA athletes had suffered from dehydration but finding a solution was not simple. They wanted to design a wearable device that could monitor an athlete’s hydration level so coaches and trainers would have better information and keep athletes safe – but would also need to prove their invention worked.

“We knew the scientific principle worked, but in the first few weeks we had logistical problems with the prototype,” said Franco.

As they pushed forward, they leveraged their different skill sets to solve problems with sensors, data collection and a prototype model.

“Being interdisciplinary forces you out of your comfort zone in a really good way,” said Mazzacane.

“Sweatration” was one of seven interdisciplinary teams of undergraduate inventors competing in the six week Invent@SU program. Before the first week of the program, faculty help form three-person interdisciplinary teams that balance different skill sets. Each team comes up with a concept for an original invention, research existing patents to make sure their idea is unique, develop a prototype and pitch it to weekly guest evaluators before “Shark Tank” style final judging at the end of week six.

The Sweatration team was concerned that initial evaluators were skeptical and knew they needed to back up their idea with hard data. They also met with a Syracuse University athletic trainer to gain their input.

“After every time we pitched, I wanted as much feedback as we could get,” said Franco.

The trainer was very supportive of the idea and didn’t believe there was anything like it that existed currently. As their pitch improved, the technical challenges were also being overcome. During a week five test of their prototype at the Barnes Center, the team saw it was collecting meaningful data – and their prototype could reliably show when the wearer was getting dehydrated.

“We had improved the prototype for a better fit and better connections for the technology inside,” said Stahl. “When I saw it was delivering data and consistently indicating dehydration I was thrilled.”

The notable alumni, entrepreneurs and innovators who served as final judges awarded the Sweatration first place and a $7500 prize. They plan on continuing with their invention and will work with both the Blackstone Launchpad in Bird Library and the Innovation Law Center as they move forward.

Second place at Invent@SU went to Ambiflux – a device that can both monitor asthma conditions and deliver medication.

“It felt good that we were rewarded for all the time and energy we put into this,” said bioengineering and neuroscience major Victoria Hathaway ’22. “It is an important device that is needed for a real cause.”

“To see that the judges saw what we saw – it was very gratifying,” said computer engineering student Aidan Mickleburgh ’23. Mickleburgh is also in the H. John Reilly Dual Engineering/ MBA program.

“It felt nice they appreciated the way all the concepts and elements came together,” said chemical engineering student Trinity Coates ’24.

The third place went to Sense-A, a monitoring and alert device that can help people caring for a family member with Alzheimer’s Disease.

“It was a great experience, different from anything else I have done in college,” said computer science student Hong Yang Chen ’22. “Building a physical prototype was a great challenge.”

“Good feedback from judges and evaluators was very helpful and they saw the difficulties caregivers currently face,” said chemical engineering student Simran Lakhani ’22.

“We are definitely going to move forward with this and work with Blackstone Launchpad,” said biomedical engineering student Gabriela Angel ’21 G’22.

Honorable mention at Invent@SU went to Glisten. They designed a device aimed at helping people monitor their dental health at home and provide pre-diagnostic information to a dentist.

“To be able to research, design and build a functioning prototype in six weeks is intense, but the expertise of the faculty and the evaluators made it possible,” said bioengineering student Bianca Andrada ’22.

“Our team was a good balance of different skills and perspectives,” said industrial and interaction design major Ahn Dao ’23.

“We have a passion to keep the world smiling,” said biology student Justin Monaco ’21 G’22.

Invent@SU was sponsored by Syracuse University Trustee Bill Allyn G’59 and Janet “Penny” Jones Allyn ’60, Dr. Deborah L. Pearce and William J. Sheeran ’60, G’63, G’66, Matthew Lyons ’86, Haden Land G’91 and Cathy Land, Ralph Folz ,90, Michael Lazar G’65 and Avi Nash G’77. For more information on the program, you can visit invent.syr.edu.

Spring 2021 Engineering and Computer Science Dean’s List

In recognition of superior scholarship, the following students have been entered on the Engineering & Computer Science Dean’s List for Spring 2021.

To be eligible for Dean’s List recognition, the minimum semester grade point average must be 3.40 or higher, must have earned a minimum of 12 graded credits and must have no missing or incomplete grades.

College of Engineering and Computer Science Spring 2021 Dean’s List

Aerospace Engineering 

Zar Nigar Ahmad

Juanitta Acheampomah Bekoe

Justin Douglas Blowers

Madeline Constance Brooks

Richard L Bruschi

Jakob Samuel Bryant

Nishkreenchan Chowdhury

Owen P Clyne

Nicholas Daniel Crane

Brian James Cronin

Ryan Demis

Aleksandar Dzodic

Kaleb Jonah Eddy

Hans-Christian Esser

Jacob Fastov

Kassidy Fields

Christian Scott Fitzgerald

Benjamin Daniel Gerard

Alexandre J Gill

Sareta Rose Gladson

Jacob D Gomez

Hali Morgan Goodwin

Zachary William Haas

Aidan Hoff

Sydney F Jud

Hunter John Adam Knarr

Trevor Anthony Knight

Zachary Andrew Kubala

Thomas Matthew Lane

Isaac Alan Lehigh

Xinyu Liu

Powers Craig Lynch

Noah Martel

Maxwell Joseph Martin

William Armstrong Martin

Phillip Anthony Mazany

Mariana C McManus

Gian Ettore Mecca

Alexander T Metcalf

Romeo Michelson

John P Michinko

Vincent Anthony Miczek

Kendra Teresa Miller

Paul Robert Mokotoff

Evan Gregory Moore

Brendan Pierce Murty

Mark Namatsaliuk

Jarod I Okamura

Daniel Oluwalana

Randall McGinnis Osborn

David Dang Pham

Madeline G Phelan

Logan D Prye

Nicholas Christopher Richard

Brandon Walker Riley

Kip Risch-Andrews

Emily Muriel Rivard

Tracey Josephine Rochette

Andrew Douglas Rockafellow

Gregory Joseph Ruef

William J Saueressig

Fred Evan Schaffer

Justine John A Serdoncillo

Vraj Shah

Prabha Singh

Gregory C Slodysko Jr

Amanda Marie Stafford

Zachary Michael Stahl

Christopher Stawarski

Ethan J Stocum

Marco Svolinsky

Maria Tarulli

Richard A Tedeschi

Anthony R Tricarico

Cody Joseph VanNostrand

Nicklas M Vinci

Mason Alexander Weber

John T Whitney

Aliza Marie Willsey

Cameron M Woodbury

Melissa Yeung

Bioengineering 

Samantha Abate

Jordyn Danielle Abrams

Bianca Louise Andrada

Gabriela Angel

Colin J Babick

Eric A Benaroch

Paige Bencivenga

Ailla Frances Bishop

Anna Mae Brunson

Zeynep Sue Cakmak

Britnie Jean Carpentier

Jade Ashlee Carter

Elizabeth Ann Clarke

Mya R Cohen

Lukas Cook

Shane A Corridore

Linzy M Dineen

Anthony Mark Dragone

Alejandro J Durand

Jillian P Durand

Bailey M Felix

Mia-Marie Fields

Akweshie A Fon-Ndikum

Gabriela Renee Gonzalez-Beauchamp

Skyla Gordon

Grace Haas

Lauren Elizabeth Hamilton

Victoria Li Rui Hathaway

Brenna Henderson

Avinash Jagroo

Madeline Jones

Simran Karamchandani

Gabriel Khan

Mohamed F Khan

Sara Anne Leonardo

Isabelle S Lewis

Trevor Daniel Amnott Liimatainen

Xinyan Lin

Alejandra Eugenia Lopez

Ethan L Masters

Aelish McGivney

Ian G McHugh

Caitlin R Mehl

Lindy M Melegari

Connor G Mulligan

Hannah V Murphy

Alexander Patrick Musselman

Jeffrey Ng

Jonathan Ngo

Mark Nicola

Nicole E Nielsen

Matthew Evan Orlando

Megan Isabel Perlman

Natalie Marie Petryk

Connor Preston

Beatrice Elizabeth Reilly

Lillian Kilmer Rhuda

Gavin David Richards

Rebecca A Schaefer

Brielle L Seidel

Alyssa Shelburne

Adam M Spadafora

Justin N Stock

Elizabeth Tarami Su

Bearett Ann Tarris

Kimberly Tlayaca

Zhuoqi Tong

Edgardo Velazquez

Carly J Ward

Royce Robert Weber-Pierson

Nathaniel D Wellington

Maximillian Meier Wilderman

Haven M Wittmann

Lauren Margaret Woodford

Rui Xie

Alina Zdebska

Julian Marcus Smucker Zorn

Samantha Zysk

Chemical Engineering

Daud Ansarovich Abdullayev

Paige O Adebo

Keerthivanan Annadorai

Adriana M Archilla

Athena Andrea Basdekis

Lilly Basgall

Sandy Ynhu Cao

Karley M Chambers

Trinity Joy Coates

Olushola Coker

Hao Dai

Dennis Dao

Samantha Esparza

David Anthony Fikhman

Edward Coleman Fluker

Priya S Ganesh

Brent Tadao Gosselin

Hannah Grossman

Avery Gunderson

Oduduabasi James Isaiah

Aiden A Jacobs

Stanley Jimenez

Jake Tyler Jock

Sayf Karim

Laxmi Khatiwada

Adam J Klinger

Simran Dharmendra Lakhani

Gabriel Lipsitz

Nicole Helene Llewellyn

Rawia F A M Marafi

Angela L Martinez

Oliver Mutu

Thomas A O’Brien Jr

Sean O’toole

Fabiana Nohelia Perez

Seth Reed

Ryan Gordon Ryersen

Ivan Yankov Sarbinov

Jacob Matthew Shellhamer

Dakota Alexander Story

Jason Tan

Spencer T Tardy

Megan Varcoe

Briana Nicole Vlacich

Elizabeth M Wall

Connor Andrew Wescott

Melita Zejnilovic

Civil Engineering 

Orges Agolli

Cassie Agren

Anna Rose Arcaro

Nicole Ayora-Gonzalez

Lucas Bellandi

John Blum

Luke S Bonenberger

Arielle Bramble

Matthew Emmet Brewster

Emma Jane Brown

Alycia Joline Bruce

Joli L Cacciatore

Brett M Carney

Trevor Caviness

David Coghiel

Alejandro E Correa

Aymeric P Destree

Thomas Driscoll

Brendan Dwyer

Bradley Charles Frederick

Maraea K Garcia

Stephen Goffredo

Elliane Reut Greenberg

Alyssa Jeannine Griffin

Bensen Gu

Shawn G Gulamerian

Zelin Guo

Matthew Paul Hauser

Qifan He

Catherine E Henn

Maxwell J Karl

Joshua Michael Kaufman

Alexander Gregory Klee

Christopher J Klein

Adam Paul Landry

Abigail G Laschalt

Haben Legesse

Daniel Leyva

Emma Marie Liptrap

Emilija Alise Lizins

Erick Lojano-Quispe

Lluvia Margarita Lopez Garces

John M Mazza

Jessica M McGowan

Amira A Mouline

Mazin F Moya

Marissa R Nicole

Erin E O’Brien

Kevin B Ordonez

Gabriel Jacques Prepetit

Svetislav Radovic

Alexander David Ruppe

Isabella Salgado

Cassie Elizabeth Saracino

Stephanie D Schein

Emma Hayes Schoonover

Juha Wesley Schraden

Ravyn Smith

Caitlin Jane Spillane

Adrian Stiefelmann

Alec Spencer Thompson

Anand Veeraswamy

Christian Viola

Nathan Viramontes

Abigail Meghan Wischerath

Isabelle Wong

Paige H Yamane

Computer Engineering

Chikeluba K Anierobi

Malkiel Asher

Mergim Azemi

Gavin M Beaudry

Kyle J Betten

Jackson Thomas Bradley

Jinzhi Cai

Dynasty Da’Nasia Chance

Yifei Che

Dana Marie Castillo Chea

Guoliang Chen

Hossain Delwar

Xavier Evans

Elizabeth A Fatade

Aidan Robert Harrington

Mehak Jetly

Virkin Jimenez

Benjamin N Johnson

Bikash Khatiwoda

Nicholas Gerard Lee Landry

Jessica K Lat

Matthew B Leight

Jiaxiong Li

Nicholas Kent Magari

Kyle David Maiorana

Isabel M Melo

Nicholas J Mohan

Benjamin Hudson Murray

Jose L Olivera

Jiannuo Pei

Jessica A Reslan

Alfonso E Rivas

Brian Rodriguez

Daniel Rose

Samuel M Rosenthal

Hongyi Ruan

Alexander Segarra

Ritwik Takkar

Shu Wang

Ryan Wolff

Hanyi Xu

Renjie Xu

Ziyun Zhang

Andy Zheng

Computer Science 

Aaron Alakkadan

Sajjad Abdullah Albadri

Kwaku Amofah-Boafo

Giovanna Elizabeth Barsalona

Brian H Belluscio

Dazhi Bi

Maxwell William Hans Bockmann

Joshua Jordan Boucher

Spencer H Bradkin

Bryan Bladimir Bueno Reyes

Bryce Cable

Christopher Manuel Calderon Suarez

Liam M Calnan

Megan J Campbell

Yuecheng Cao

Abby Chapman

Jackie Chen

Runzhou Chen

Siyu Chen

Yixing Chen

Yuhao Chen

Doung Lan Cheung

Season Chowdhury

Konstantinos Chrysoulas

Matthew Cufari

William Stuart Devitt

Ting Dong

Russell Carl Doucet

Nathan B Fenske

Evan Garvey

Grant Thomas Gifford

Brianna S Gillfillian

Brian J Giusti

Justin S Glou

Justin Gluska

Dayong Gu

Tighe Gugerty

Alexander Peter-Anthony Haas

Athanasios Hadjidimoulas

Erika R Hall

Andrew Hamann

Jillian Elizabeth Handrahan

Miranda Rose Heard

Wendy Hesser

Cameron Hoechst

Laurel Howell

Jacob Howlett

Natalie Huang

Xuanye Huang

Nathakorn Jitngamplang

Michael Wesley Jones

Jamed K Kamara

Jaehun Kim

Ekaterina Kladova

Gavin William Kline

Polina Kozyreva

Miksam Kurumbang

Rami L Kuttab

Eric C Lee

Andy Li

Jiaqi Li

Ruowen Li

Arvin Lin

Haochen Lin

Erxi Liu

Jiaming Liu

Jing Liu

Junzhang Liu

Steven Liu

Tiara I Logan

Vikas Gautam Lohana

Cayden Thomas Lombard

Yiheng Lu

Runzhi Ma

Hunter O’Neal Malley

Kanoa Matton

Ryan M May

Anthony Louis Mazzacane

Noah Mechnig-Giordano

Preston Mohr

Thomas J Montfort

Jacob Morrison

Jovanni Nicholas Mosca

Andi Muhaxheri

Paige C Mundie

Krutartha Nagesh

Zoe Anne Neale

Maduakolam Nicholas Onyewu

Maya Ostoin

Daniel Pae

William Anderson Palin

Xiaofeng Pan

Michael J Panighetti

Brian Joseph Pellegrino

Siwei Peng

Anthony Perna

Fiona Colleen Powers Beggs

Akshay Hari Prasad

Shane Michael Race

Lauryn Ashley Rivers

Eric Rodriguez

Sadikshya Sanjel

Jonathan Lee Schwenk

Benjamin William Smrtic

Louanges Essohana Marlene Takou-Ayaoh

Melissa Li Tang

Jonathan Richard Constantine Templeton

Jonathan Ezra Thomas

Kyra Danielle Thomas

Griffin E Timm

Courtney Patricia Tuozzo

Randy C Vargas

Bermalyn Maricel Vicente

Christopher Mark Vinciguerra

Puxuan Wang

Ruobing Wang

Xinyi Wang

Robert Ward

Daniel Weaver

Jonathan Williams

Ethan Wong

Yurui Xiang

Yujie Xu

Chen Yang

Jintao Yang

Jishuo Yang

Stella R Yaunches

Elin J Yaworski

Yian Yu

Yulun Zeng

Chengyuan Zhang

Liaotianbao Zhang

Rixiang Zhang

Weikun Zhang

Zhiyuan Zhang

Hang Zhao

Junjie Zheng

Liuyu Zhou

Xinqian Zhou

Raymond Zhu

Sida Zhu

Joseph Patrick Zoll

Engineering Undeclared

Olivia R Conlin

Michael J McElroy

Electrical Engineering

Minghao Ai

Rebecca Corrine Andino

Tianle Bu

Kevin E Buciak

Yushang Cai

Vincent Alec Camarena

Arianna Maxine Cameron

Yuang Cao

Brendan Robert Ciarlone

Eli Aiden Clark

Nicholas Shawn Connolly

Alex Lev Cramer

Trevonne Davis

Henry C Duisberg

Nicholas Fazzone

Justin P Geary

Matthew R Gelinas

Christopher Gill

Jose I Ginorio

Jack Orlando Guida

Emerson Iannone

Jemma Mallia

Liam Fuller Marcato

Tyler Sean Marston

Zixun Nian  Nian

Kylie Elizabeth Nikolaus

Dylan D Palmer

Julia Pepin

Matthew Piciocchi

Stephen Joseph Rogers

Gilberto E Ruiz

Gabriel E Ruoff

Kayla Ann Saladyga

Jenna Mei Stapleton

Jaime S Sued Jr

Jared William Welch

Ernest C Whitbeck

Abigail Wile

Chongfang-James Xu

Zheyuan Zhang

Environmental Engineering

Ana Cristina Baez Gotay

Luke M Borden

Benjamin R Cavarra

Bessie Chen

Evan James Cibelli

Cambre Rae Codington

Elizabeth Bryant Cultra

Cameron Nicole Edwards

Anna Feldman

Allyson Greenberg

Jessenia Paola Guzman

Brady E Hartnett

Christopher Graham Harvey

Anna M Holdosh

Erica G Jenson

Eva Rose Kamman

Abigail Rose King

Nicholas Colin Axel Kohl

Birch Lazo-Murphy

Audrey B Liebhaber

Samuel Robert Livingston

Carleigh Ann Lutz

Kevin A Lynch

Jiayu Ma

Nicole A Mark

Molly M Matheson

Steph Ricky Millan

Sydney Mitchell

Matthew Edward Nosalek

Scott M Potter

Yongfang Qi

Kaura Yanse Reyes

Jacob Thomas Sardino

Mary H Schieman

Noah Michael Sherman

Husna M Tunje

Jacob M Tyler

Maria Antonia Villegas Botero

Anna Wojcik

Savannah Marie Wujastyk

Yifan Zhong

Qiuyu Zhou

Reilly Zink

Mechanical Engineering

Owyn Phillip Adams

Arfeen Armaghan

Joshua Carl Arndt

Arda Arslan

Rachael O Beresford

Charles Shaw Bowman

Arnaud Buard

Ryan G Burns

Adrian L Caballero

Alexander Joseph Callo

Joseph Timothy Capra

Caleigh J Casey

Rishov Chatterjee

Samuel Joseph Corrigan

Cooper P Crone

David Matthew Denneen

Madeline Doyle

Andrew J Esposito

Cameron Barry Frechette

Elan Fullmer

Clinton Edward Farina Garrahan

Samuel Ryan Getman

Emily Ann Greaney

David M Griffin

Connor Hayes

Zhao Jin

Dong Myeong Kang

Jeremy C Kang

Macauley J Kastner

Daniel Jacob Kenney

Finnian James Kery

Teagan L Kilian

Cherry Kim

Jason T King

Savannah Mae Kreppein

Elizabeth Marcy Kretzing

Trevor D Kroells

Lily Larkin

Peter Le Porin

Honorata Lubecka

Bei Luo

Katherine Elizabeth Macbain

Lauren Mack

Ryan Patrek Martineau

Sarah Ann Michael

Georgios Michopoulos

Leilah Miller

Nicholas Mink

Wiley Robert Moslow

Allison Mullen

Beau M Norris

Aidan T O’Brien

Nicholas Joseph Papaleo

Corey A Phung

Pei Ren

Aidan Riederich

Jeremy Vinton Rosh

Jeffrey Ryu

Colin Santangelo

Nitish Sachin Satpute

Nathan Schnider

Shane M Sefransky

William Kaspar Sherfey

Zachary Ryan Shuler

Eric Silfies

Nathaniel Slabaugh

Owen Nicholas Smith

Ian Storrs

Austin James Sumner

Yiyuan Sun

Matthew K Swanson

Ethan William Tracey

Evan R Tulsky

Taj Asim Whitney

Michael Wong

Tszho Wong

Sean T Wuestman

Maxwell James Yonkers

Xiaoqing Yu

Antony Zheng

Systems & Information Science

Yiyang Dai

Jonathan Richard Deiss

Rodcliff Hall

Skyler Marie Hall

Luke Gregory Hedges

Stacy Kim

Niara A Phoenix

Nadia Olivia Shelburne

Zachary Tyler Williams

Electrical Engineering and Computer Science Professor Sucheta Soundarajan Receives NSF CAREER Award

Large networks like social media platforms, highway systems, and even our genes contain vast amounts of data hiding in plain sight. However, the techniques scientists design to learn about the nonlinear relationships within these structures often result in unintentional discrimination against historically disadvantaged groups. These biased outcomes are what electrical engineering and computer science professor Sucheta Soundarajan is working to prevent by bringing fairness to network algorithms.

Soundarajan has received a National Science Foundation (NSF) CAREER Award for her research on algorithms for network analysis. The grant is a single investigator award intended to support Soundarajan’s professional development. In addition to providing funding for research, it will support a number of non-research service projects.

“Anytime I get a grant it feels great because it is validation from the larger scientific community,” said Soundarajan. “This one especially because it is tied to me as an individual and not just the project. It feels like I am being validated as a scientist. It means a lot.”

Although the award is an individual accomplishment, it is supporting research that has potential to benefit communities around the world. Increasingly, information is becoming acquired from network analysis and what scientists are finding is that despite algorithms not having access to protected attributes like age, disability, gender identification, religion and national origin, they still end up discriminating against these groups.

“What we’re seeing is that people from these minority and disadvantaged groups are being wrongfully discriminated against at a higher rate,” said Soundarajan. “We want to create algorithms that automatically find people central within a network but do it in a way that is fair.”

Soundarajan says criminal sentencing and lending are two examples of areas where algorithms are used to make crucial decisions and where scientists have detected potential wrongful discrimination. Another example of a fairness issue is in the way we connect with each other on social platforms. Friendship recommendation algorithms can exacerbate a tendency for people to seek out those who are similar to themselves.

“Taken to an extreme, if people follow these recommendations, people end up in silos where they only connect to people who are like them and that is how you end up with echo chambers,” said Soundarajan.

Outside of her research, Soundarajan will have the opportunity to hire a graduate student to help develop ethics-based modules that can become part of computer science courses with the hope it will help students develop ethics focused thinking.

“We’re going to design these labs where we will give students a data set and they will apply some algorithms to it and then they will look at the results and they will have to think about are these results fair,” said Soundarajan.

Soundarajan will also be looking into developing continuing education for lawyers. She hopes to create classes that focus on explaining how algorithms can cause discriminatory issues.

Committing her time and talent to something societally meaningful is important to Soundarajan. She credits the support she has received throughout her life as a factor in choosing her research area, and she recognizes the help she has received from members of her department contributed to her latest achievement.

“There has been so much invested in me as a scientist, I feel like I have the moral obligation to do something that benefits everybody,” said Soundarajan. “I have been really fortunate to be surrounded by people who really want to see me succeed and that’s been true at Syracuse University as well. People have given me their time, spending hours reading the proposal that got me this award, and that means a lot to me.”

Engineering and Computer Science Students Attend 2021 ACM Tapia Conference

The Life Sciences Complex at night from above.

Seven students from the College of Engineering and Computer Science attended the 2021 ACM Tapia Conference with help from a STARS Ignite grant awarded to electrical engineering and computer science Professor Farzana Rahman. The ACM Tapia Conference is designed to promote diversity, connect undergraduate and graduate students, faculty, researchers, and professionals in computing from all backgrounds and ethnicities. Before attending the ACM Tapia conference, the student cohort participated in monthly webinar series facilitated by STARS Ignite leadership to mentor students so they can bring the best out of attending diversity conferences, develop value for diversity and inclusiveness in Computing, and contribute to institutional broadening participation activities.

The students had opportunities for workshops and presentations by nationally recognized labs, academic leaders and industry leading companies. A career fair at the conference gave students a chance to meet with recruiters.

“I could have individual meetings with recruiters of different companies in the conference. During meeting with researchers and engineers, I could become more familiar with the culture and projects of companies,” said graduate student Reyhaneh Abdolazimi. “Tapia was also a great opportunity to connect with diverse students from different backgrounds who are looking for job or doing research in the related areas.”

“The early career workshops were very helpful and I was able to connect with some of the presenters to ask about their area of specialization,” said Jemma Mallia ‘23 In many of the career workshops they had a very energetic presenting style that motivated me. Some of the most helpful information included how to optimize my resume, effectively network, seek opportunities, and create opportunities.

“At the Tapia Conference, you can choose the people to speak with. If you choose a recruiter, you may know more about the recruiting process. If you choose a developer, you may know more about the company culture and techniques,” said graduate student Xin Chen.

“I feel as though attending the ACM Tapia conference allowed me to see the diverse paths ahead of me in computing,” said Michael Perry ’22. “I plan to give a talk at our school’s hack-a-thon about broadening participation in computing to hopefully spread the awareness among my community.”

Asif Salekin

Degree:

  • Ph.D. in Computer Science, University of Virginia
  • Master of Computer Science, University of Virginia
  • B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology

Research interests:

  • Internet of Things (IoT)
  • Pervasive and Ubiquitous Computing
  • Machine Learning
  • Connected and Mobile Health
  • Cyber-Physical Systems (CPS)

Current Research:

My research takes a multi-disciplinary approach to develop novel and practical human behavioral and physical event sensing technologies that overlap with machine learning, human-centered Computing (e.g., health computing, human-machine interaction, and wellness monitoring applications), internet of things, cyber-physical systems and natural language processing. I enjoy building data-driven, application-specific novel technologies, as well as new systems and applications that involve sensors, mobile devices and cloud services. Research challenges that I deal with are the uncertainties in physical world sensing, human factors, such as, the user-context and mobility, limitation of current technologies, and resource constraints of the sensing data and platform. Technologies and systems that I develop are human-centric, several of them are attributed to health and wellness, and in general, they are in the scope of ubiquitous computing.

Teaching Interests:

  • Design and Analysis of Algorithms

Honors:

  • Graduate Student Award for Outstanding Research, UVA Department of Computer Science, 2018
  • Nominated for Best Paper Award, Wireless Health 2016

Recent Publications:

  • A. Salekin, S. Ghaffarzadegan, Z. Feng and J. Stankovic. A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices, The 15th International Conference on Distributed Computing in Sensor Systems (DCOSS 2019).
  • A. Salekin, Jeremy W. Eberle, Jeffrey J. Glenn, Bethany A. Teachman, and John A. Stankovic. 2018. A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression, ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 2, No. 2, Article 81 (June 2018), 26 pages. (and Ubicomp 2018)
  • A. Salekin, Z. Chen, M. Ahmed, J. Lach, D. Metz, K. de la Haye, B. Bell, and J. Stankovic, Distance Emotion Recognition, ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 1, Issue 3, Sept. 2017, 96:1-96:24. (Ubicomp 2017)
  • A. Salekin, H. Wang, K. Williams, and J. Stankovic, DAVE: Detecting Agitated Vocal Events, The IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), July 2017.
  • Z. Chen, M. Ahmed, A. Salekin, and John A. Stankovic, ARASID: Artificial Reverberation-Adjusted Indoor Speaker Identification Dealing with Variable Distances, International Conference on Embedded Wireless Systems and Networks (EWSN), 2019.

Farzana Rahman

Degrees:

  • Ph.D., Computer Science, Marquette University, Wisconsin, USA (2013)
  • M.S., Computer Science, Marquette University, Wisconsin, USA (2010)
  • B.S., Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Bangladesh (2008)

Research interests:

  • Mobile and pervasive health technologies
  • Internet-of-Things
  • Computer science education
  • Impact of active learning pedagogy in CS courses
  • Broadening participation of women and underrepresented students in CS

Current research:

Her research spans the domains of mobile healthcare, healthcare data analytics, and pervasive health technologies. Broadly, her research focuses on integrating mobile and pervasive technologies in health and wellness environments to improve users’ quality of life, mental and physical wellbeing. Her research also expands in the direction of mobile security, information and communication technology for development (ICT4D), Computer Science education, broadening participation in computing, best practices in undergraduate research, and how different pedagogical practices can increase diversity in CS. She is also interested in finding why and how people from diverse backgrounds are learning programming in 21stcentury and how the development of new kind of scalable programming environments or platform can support all kind of learners.

Teaching Interests:

  • Introduction to Programming
  • Object-Oriented Programming
  • Data Structure
  • Mobile Application Programming
  • Mobile and Pervasive Computing
  • Computer Architecture

Honors:

  • Provost LA Initiative Award, Florida International University, Spring 2018-2019
  • Best paper award, IEEE Conference on Networking Systems and Security (NSysS’ 16), 2016
  • Systers Pass-It-On (PIO) Award, Anita Borg Institute, 2014
  • Best paper award, IEEE International Conference on e-Health Networking, Applications and Services (Healthcom’ 12), 2012

Recent Publications:

  1. Claire Fulk, Grant Hobar, Kevin Olsen, Samy El-Tawab, Puya Ghazizadeh, and Farzana Rahman. Cloud-based Low-cost Energy Monitoring System through the Internet of Things. In Proceedings of the IEEE International Workshop of Mobile and Pervasive Internet of Things (PerIoT 2019), in Conjunction with IEEE Percom ’19. Japan, March 2019.
  2. Farzana Rahman and Samy El-Tawab. App Development for the Social Good: Teaching Socially Conscious Mobile App Development in an Upper-Level Computer Science Course. In Proceedings of the 2019 ASEE Annual Conference and Exposition (ASEE ’19), Orlando, FL, July 2019.
  3. Farzana Rahman. Leveraging Visual Programming Language and Collaborative Learning to Broaden Participation in Computer Science. In Proceedings of the 19th Annual Conference on Information Technology Education (SIGITE ’18), Ft Lauderdale, FL, Oct 2018.
  4. Saiyma Sarmin, Nafisa Anzum, Kazi Hasan Zubaer, Farzana Rahman, A. B. M. Alim Al Islam. Securing Highly-Sensitive Information in Smart Mobile Devices through Difficult-to-Mimic and Single-Time Usage Analytics. In Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems, Computing, Networking and Services (MobiQuitous ’18), Nov 2018.
  5. Farzana Rahman. From App Inventor to Java: Introducing Object-oriented Programming to Middle School Students Through Experiential Learning. In Proceedings of the 2018 ASEE Annual Conference and Exposition (ASEE ’18), Salt Lake City, UT, July 2018.
  6. Farzana Rahman, Healthy Hankerings: Motivating Adolescents to Combat Obesity with a Mobile Application. In Proceedings of the 20th International Conference on Human-Computer Interaction (HCI International ’18), NV, July, 2018.
  7. Farzana Rahman, Perry Fizzano, Evan M. Peck, Shameem Ahmed, and Stu Thompson. How to Build a Student-Centered Research Culture for the Benefit of Undergraduate Students. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE ’18), Maryland, Feb 2017.

Qinru Qiu

Degree(s):

  • PhD

Lab/Center Affiliation(s):

  • AMPS (Advanced Microprocessor and Power-aware Systems)

Research Interests:

  • Dynamic power and thermal management for computer systems
  • Power and performance optimization of energy harvesting real-time embedded systems
  • Neuromorphic computing and high performance computing for cognitive applications

Current Research:

Excessive energy dissipation has become one of the limiting factors that prevents the sustained growth of computation power of IT facilities. High power consumption reduces system reliability, increases energy and cooling cost, and cuts the battery cycle time of mobile devices. Aiming at curbing the system energy dissipation, green computing has attracted substantial interests in recent years. Dr. Qiu’s primary research interest covers different areas in green computing, from runtime power and thermal management of computer systems to energy harvesting real-time embedded system. The goal of her research is to provide machine intelligence to today’s computing platforms to achieve autonomous resource management with energy and thermal awareness.

Her second research area is architecture design of neuromorphic computing. Neuromorphic computing refers to the emerging computation concept inspired by the principles of information processing in human neural system. It is widely accepted that human beings are much superior to machines in some areas such as image recognition. With the increase of our knowledge on brain function and our capability in realizing massive parallel computation and communication, it is time to investigate new algorithm and hardware architecture for signal processing and perception. Dr. Qiu’s research focuses on the software and hardware development for such computing systems.

Courses Taught:

  • VLSI Design
  • Computer architecture

Honors:

  • ACM SIGDA Distinguished Service Award (2011)
  • NSF Career Award (2009)
  • American Society for Engineering Education (ASEE) Summer Research Faculty Fellowship (2007)

Selected Publications:

Shen, Y. Tan, J. Lu, Q. Wu and Qinru Qiu, “Achieving Autonomous Power Management Using Reinforcement Learning,”ACM Transactions on Design Automation of Electronic Systems, Vol. 18, Iss. 2, pp. 24032, March 2013.

Ge, Qinru Qiu, and Q. Wu, “A Multi-Agent Framework for Thermal Aware Task Migration in Many-Core Systems,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 20 , Issue: 10, pp. 1758 – 1771, 2012.

Liu, J. Liu, Q. Wu and Qinru Qiu, “Harvesting-Aware Power Management for Real-Time Systems with Renewable Energy,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 20 , Issue: 8, pp. 1473 – 1486, 2012.

Qinru Qiu, Q. Wu, M. Bishop, R. Pino, and R. W. Linderman, “A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High Performance Computing Cluster,” IEEE Transactions on Computers, Digital Object Identifier: 10.1109/TC.2012.50.

H. Lu, Qinru Qiu, A. R. Butt and K. W. Cameron, “End-to-End Energy Management,” Computer, 44 (11), November 2011.

Vir V. Phoha

Degree:

  • Ph.D. Texas Tech University

Research Interests:

  • Cyber Security – Cyber offense and defense
  • Machine Learning
  • Smart phones and tablets security
  • Biometrics — network based and standalone

Current Research:

My focus is to do original research that cuts across conventional rigorously defined disciplines and unifies basic and common concepts across disciplines. In particular, my research centers around security (malignant systems, active authentication, for example touch based authentication on mobile devices) and machine learning (decision trees, statistical, and evolutionary methods) with a focus on large time series data streams and static data sets, and computer networks (anomalies, optimization). I am also using these methods to build field realizable defensive and offensive Cyber-based systems.

Courses Taught:

  • Security and Machine learning; Biometrics
  • Applied Cryptography

Honors:

  • AAAS Fellow (elected 2018);  NAI Fellow (elect 2020)
  • IEEE Region 1 Technological Innovation  Award, 2017
  • SDPS Fellow (elected 2010)
  • ACM Distinguished Scientist (elected 2008)
  • ACM Distinguished Speaker (2012-2015)

Selected Publications:

  • Amith K. BelmanVir V. Phoha. Discriminative Power of Typing Features on Desktops, Tablets, and Phones for User Identification.ACM Transactions on Privacy and Security. 23(1): 4:1-4:36 (2020)
  • Jin, Vir V. Phoha and R. Zafarani, “Graph-based Identification and Authentication: A Stochastic Kronecker Approach,” in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.3025989.
  • Li, W. Wang, Y. Gao, Vir V. Phoha and Z. Jin, “Wrist in Motion: A Seamless Context-Aware Continuous Authentication Framework Using Your Clickings and Typings,” in IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, no. 3, pp. 294-307, July 2020, doi: 10.1109/TBIOM.2020.2997004.
  • Yang Gao; Wei Wang; Vir V Phoha; Wei Sun; Zhanpeng JinEarEcho: Using Ear Canal Echo for Wearable Authentication.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 3, No. 3, Article 81. Publication date: September 2019. Presented in The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2019), London, UK, September 11-13, 2019.
  • Shukla and Vir V. Phoha, “Stealing Passwords by Observing Hands Movement,” in IEEE Transactions on Information Forensics and Security, vol. 14, no. 12, pp. 3086-3101, Dec. 2019, doi: 10.1109/TIFS.2019.2911171.

Susan Older

Degrees:

  • B.S. in Computer Science, Washington University
  • Ph.D. in Pure & Applied Logic, Carnegie Mellon University

Research Interests:

  • Semantics of programming languages
  • Logics of programs
  • Access control, security, and trust
  • Concurrency theory

Current Research:

My research primarily focuses on the development and application of mathematical models and specialty logics that support reasoning about complex system behavior, such as concurrency and cyber security. My recent work (joint with Shiu-Kai Chin) has centered on a modal logic for reasoning about access control, security, and trust. This logic can be applied at all levels of abstraction, from organizational policies to network protocols to operating-system requirements to hardware.

I am also interested in the technology transfer of these ideas (specifically, through undergraduate and graduate education): how does one best enable budding engineers and computer scientists to deploy these methods to develop assured systems?

Courses Taught:

  • Discrete mathematics
  • Functional programming
  • Programming languages
  • Applications of formal methods for assurance

Selected Publications:

Textbook

Shiu-Kai Chin and Susan Older, Access Control, Security, and Trust: A Logical Approach, Taylor & Francis CRC Press, 2011.

Articles

Susan Older and Shiu-Kai Chin, “Engineering Assurance at the Undergraduate Level,” IEEE Security & Privacy, Volume 10, Number 6, pages 74-77, Nov/Dec 2012.

Shiu-Kai Chin, Erich Devendorf, Sarah Muccio, Susan Older, and James Royer, “Formal Verification for Mission Assurance in Cyberspace,” Proceedings of the 16th Colloquium for Information Systems Security Education, Orlando, Florida, June 2012.

Glenn Benson, Shiu-Kai Chin, Sean Croston, Karthick Jayaraman, and Susan Older, “Credentials Management for High-Value Transactions,” in Igor Kotenko and Victor Skormin (Eds.), Computer Network Security, 5th International Conference on Mathematical Methods, Models and Architectures for Computer Network Security (MMM-ACNS), St. Petersburg, Russia, September 2010.

Jae C. Oh

Degree(s):

  • Ph.D in Computer Science, The University of Pittsburgh

Lab/Center Affiliation(s):

  • Distributed Multi-agent Systems Laboratory (Director)

Research Interests:

  • Applications of Artificial Intelligence to distributed systems, multi-agent systems, swarm robotics, big-data visualizations, and cyber-physical systems
  • Game theory
  • Social network analysis

Current Research:

I am interested in studying interaction dynamics among multiple entities in networked and non-networked environments, resource allocation and management in distributed environments, dialogical artificial intelligence, and studies on visual dialogues and visual art.

Courses Taught:

  • Operating systems
  • Artificial intelligence
  • Game theory
  • Distributed systems
  • Multi-agent systems

Honors:

  • Distinguished Scholar, International Society of Applied Intelligence, 2011.

Selected Publications:

Nathaniel Gemelli, Jeffrey Hudack, Steven Loscalzo and Jae Oh, “”Using Coalitions with Stochastic Search to solve Distributed Constraint Optimization Problems,” in Proceedings of the 7th International Conference on Agents and Artificial Intelligence. 2015

A Game Theoretic Framework for Community Detection, The 2012 IEEE/ACM International Conference in Social Networks Analysis and Mining, ASONAM 2012. Best Paper Award. with K. Mehrotra and P. McSweeny

An Open Co-op Model for Global Enterprise Technology Education: Integrating the Internship and Course Work. SIGCSE 2012. With J. Saltz.

Joo Lee and Jae C. Oh, A Node-Centric Reputation Computation Algorithm on Online Social Networks, in Lecture Notes in Social Networks: Application of Social Media and Social Network Analysis, Springer International Publishing, Eds:, Kazienko, Przemyslaw and Chawla, Nitesh, Pages 1-22.

Jae C. Oh, Emergence of self-reflection through visual dialogues based on evolutionary algorithms,” a description of Informatrix III from a computer science perspective, in the Art Catalogue of 14th International Festival of Intermedia Art, Maribor, Solvenia,October 13, 2008, English), ISBN 978-961-6154-19-2, an Art Catalogue

Wonkyung Park and Jae C. Oh, \New Entropy Model for Extraction of Structural Information from XCS Population,” Proceedings of the Genetic and Evolutionary Computation Conference 2009 (GECCO 2009), July, Montreal, Canada, ACM, Best paper award.

Chilukuri K. Mohan

Degree(s):

  • Ph. D., State Univ. of New York at Stony Brook
  • B.Tech., Indian Institute of Technology, Kanpur

Lab/Center Affiliation(s) :

  • Syracuse Evolutionary and Neural Systems Exploration (SENSE) Lab
  • Smart Grid Lab

Research Interests:

  • Artificial intelligence
  • Evolutionary algorithms
  • Data mining
  • Social networks
  • Bioinformatics

Current Research:

Recent work has involved the development of algorithms for:

the recognition of patterns in promoter regions of genome sequences,
unsupervised detection of anomalies in data (including time series), and
optimization problems in the design of multiband cognitive radio networks.
Other current work includes the investigation of robustness properties of social networks, as well as the use of network models in understanding the dynamics of evolutionary algorithms.

Teaching Interests:

  • Smart grid
  • Social networks
  • Evolutionary algorithms
  • Neural networks

Honors:

  • Distinguished Scholar Award, International Society of Applied Intelligence, July 2011.

Selected Publications:

Linkage Sensitive Particle Swarm Optimization (D. Devicharan and C.K. Mohan), in Handbook of Swarm Intelligence – Concepts, Principles, and Applications (eds. B.K. Panigrahi, Y. Shi, and B. Lim), pp. 119-132, 2011.

Rank-Based Outlier Detection with (HuaMing Huang, Kishan Mehrotra Chilukuri K. Mohan), in Journal of Statistical Computation and Simulation, Oct. 2011.

Distributed In-Network Path Planning for Sensor Network Navigation in Dynamic Hazardous Environments (D. Chen, C.K. Mohan, K.G. Mehrotra, and P.K. Varshney), in Wireless Communications and Mobile Computing 12(8): 739-754, 2012.

SMAlign: Alignment of DNA Sequences with Gap Constraints (F. Alobaid, K. Mehrotra, C.K. Mohan, and R. Raina), in Proc. BICOB, Las Vegas, March 2012.

Reference Set Metrics for Multi-Objective Algorithms (C.K. Mohan and K. Mehrotra), in Proc. SEMCCO, pp.723-730, Dec. 2011.

Jean-Daniel Medjo Me Biomo

Mobile ad hoc networks, Satellite networks, Artificial intelligence, and 5G-and-beyond networks

Kristopher Micinski

Degree:

  • Doctorate of Philosophy, Computer Science, University of Maryland at College Park
  • Bachelor of Science, Computer Engineering, Michigan State University

Research interests:

  • Programming Languages
  • Static Analysis
  • Formal Methods
  • Foundations of Computer Security and Privacy

Current Research:

My research lies at the intersection of the theory and application of program analyses. Program analyses are tools that examine programs and determine (prove) facts about them. For example, a program analysis might prove that a program can never crash due to a type error. In general, however, program analyses can be arbitrarily complex and infer subtle program invariants relating to myriad applications (such as computer security).

Because program analyses must always approximate program behavior (otherwise they could solve the halting problem), there is an inherent tradeoff between analysis precision and analysis performance. Currently, program analyses are often applied only in limited contexts, as gaining acceptable performance requires too many compromises in terms of analysis precision. My current work focuses on three concurrent threads: tackling fundamental issues relating to scaling static analysis (specifically, scaling analyses to run on supercomputers rather than a single machine as all current analyses do); engineering those analyses (to allow analysis reuse); and applying those analyses to computer security (e.g., to check properties such as information flow and to support complex reverse engineering tasks).

Teaching Interests:

  • Programming Languages
  • Computer Security
  • Formal Logic and Discrete Mathematics

Recent Publications:

  • Symbolic Path Tracing to Find Android Permission-Use Triggers. NDSS Workshop on Binary Analysis Research (BAR 2019).
  • User Comfort with Android Background Resource Accesses in Different Contexts Symposium on Usable Privacy and Security (SOUPS 2018).
  • User Interactions and Permission Use on Android (CHI 2017).

Jay K. Lee

Degree(s):

  • Ph.D, Massachusetts Institute of Technology 1985
  • M.S., Massachusetts Institute of Technology 1981
  • B.S., Seoul National University, Seoul, Korea 1976

Lab/Center Affiliation(s):

  • Electromagnetics Laboratory

Research Interests:

  • Electromagnetic fields and waves
  • Waves in complex and anisotropic media
  • Antennas and propagation
  • Microwave remote sensing

Current Research:

Development of dyadic Green’s functions for various complex media:
Dyadic Green’s functions (DGFs) have been an important and major tool for solving a great number of electromagnetic problems in many decades. Finding DGFs for anisotropic media have been very challenging due to its complexity. My research has been to obtain the DGFs for several different types of anisotropic media – including (i) uniaxially anisotropic medium, (ii) biaxially anisotropic medium, (iii) electrically gyrotropic (gyroelectric) medium, and (iv) magnetically gyrotropic (gyromagnetic) medium.

Wave propagation and scattering involving complex media:
The DGFs that we obtained above are used to solve a variety of theoretical and practical problems involving complex (anisotropic) media. We have investigated and solved the problems of wave propagation, reflection & transmission, radiation and scattering of electromagnetic waves in the presence of such anisotropic media as well as bianisotropic media. Problems of antennas and microstrip circuits have also been treated.

Courses Taught:

  • Electromagnetics I & II
  • Electromagnetic Engineering
  • Antennas and Antenna Systems
  • Electromagnetic Fields

Honors:

  • Magna Cum Laude Honor, Seoul National University, Korea, 1976.
  • Eta Kappa Nu Outstanding Undergraduate Teacher Award, 1999.
  • IEEE Third Millennium Medal, 2000
  • The Technology Alliance of CNY – College Educator of the Year Award, 2002
  • IEEE Region 1 Award, August 2002
  • Who’s Who in Electromagnetics

Selected Publications:

Arlon T. Adams and Jay K. Lee, Electromagnetics, University Readers, First Edition, 2012; Cognella, Revised First Edition, 2015.

[Undergraduate Electromagnetics course textbook, 632 pages] https://titles.cognella.com/electromagnetics-9781626615847.html

Brian J. Rautio, Vladimir I. Okhmatovski, Andreas C. Cangellaris, James C. Rautio, and Jay K. Lee, “The unified-FFT algorithm for fast electromagnetic analysis of planar integrated circuits printed on layered media inside a rectangular enclosure,” IEEE Trans. Microwave Theory and Techniques, vol. 62, No. 5, pp. 1112-1121, May 2014.

Ying Huang and Jay K. Lee, “Radiation from an arbitrarily oriented Hertzian dipole in the presence of a gyroelectric slab,” IEEE Trans. Antennas and Propagation, Vol. 62, No. 4, pp. 1837- 1843, April 2014.

Jennifer W. Graham and Jay K. Lee, “Reflection and transmission from biaxially anisotropic-isotropic interfaces,” Progress In Electromagnetics Research, Vol. 136, pp. 681-702, 2013.

Chong Mei, Moamer Hasanovic, Jay K. Lee, and Ercument Arvas, “Comprehensive solution to scattering by bianisotropic objects of arbitrary shape,” Progress In Electromagnetics Research B, Vol. 42, pp. 335-362, 2012.

Abdullah Eroglu, Yun Hee Lee, and Jay K. Lee, “Dyadic Green’s functions for multi-layered uniaxially anisotropic media with arbitrarily oriented optic axis,” IET (Institution of Engineering and Technology) Microwaves, Antennas & Propagation, Vol. 5, Iss.15, pp. 1779-1788, 2011.

Ying Huang and Jay K. Lee, “Dyadic Green’s functions for unbounded and two-layered general anisotropic media,” Progress in Electromagnetics Research (PIER) B, Vol. 30, pp. 27-46, 2011.

Abdullah Eroglu and Jay K. Lee, “Far field radiation from an arbitrarily oriented Hertzian dipole in an unbounded electrically gyrotropic medium,” Progress in Electromagnetics Research (PIER), vol. 89, pp. 291-310, 2009.

Abdullah Eroglu and Jay K. Lee, “The complete design of microstrip directional couplers using the synthesis technique,” IEEE Transactions on Instrumentation and Measurement, vol. 57, No. 12, pp. 2756-2761, December 2008.

Ahmet Yagli, Jay K. Lee and Ercument Arvas, “Monochromatic scattering from three-dimensional gyrotropic bodies using the TLM method,” Applied Computational Electromagnetics Society (ACES ) Journal, vol. 22, No. 1, pp. 155-163, March 2007.

Andrew C. Lee

Degree(s):

Ph.D. (U. of Maryland, College Park, 1998); M.A. (U. of Maryland, College Park, 1996); M.A. (U. of Michigan, Ann Arbor, 1988); B.A. (U. of Hong Kong, 1987).

Research Interests:

  • Discrete Mathematics
  • Computability Theory
  • Computational Learning
  • Artificial Intelligence
  • Logic and Formal Methods

Current Research:

I study the role of queries and the associated learning strategies in solving computational problems. For example, the strategies for playing many board games and on-line games often resemble a basic paradigm in machine learning, namely, to learn a target concept via queries. By studying the (winning) strategies in specific concrete games, we may gain insights to determine the right set of queries and related parameters that are of interest in machine learning applications. I am also interested in graph coloring and graph labeling type problems. Many arise quite naturally in the study of social structures and networks. To better understand them it often requires new algorithms and analysis.

As an educator, I am interested in engaging students to do research. In addition, I like to explore new pedagogies to improve students’ reasoning ability, develop their inquisitiveness and strengthen their problem solving skills. Along in this direction I like to cast some of the research problems listed above in elementary settings and make them accessible to undergraduates and beginning graduate students.

Courses Taught:

  • Artificial intelligence
  • Data structures
  • Algorithms
  • Automata and Computability
  • Formal methods

Selected Publications:

Andrew C. Lee, Sin-Min Lee and Ho-Kun Ng, On the balance index set of bi-regular and tri-regular graphs, 78, Journal of Combinatorial Mathematics and Combinatorial Computing, August 2011, pp.169-186.

Man Kong, Andrew C. Lee and Sin-Min Lee, On the Balance Index Sets of Homeomorph of Regular Graphs, Congressus Numerantium, vol. 204, Dec. 2010, pp. 193-203.

Andrew C. Lee and Sin-Min Lee and Hsin-Hao Su, On the balanced indexed set of generalized friendship graphs, envelope graphs of cycles and cubic graphs, Congressus Numerantium, 196 (2009), pp. 3-22.

William I. Gasarch and Andrew C. Lee, Inferring answers to queries, Journal of Computing and Systems Sciences Volume 74, No 4, 2008, 490-512.

Fanxin Kong

Degrees

  • Ph.D. in Computer Science, McGill University
  • M.S. in Computer Science, Northeastern University (CN)
  • B.S. in Computer Science, Northeastern University (CN)

Research interests

  • Security, sustainability, and real-time aspects for Cyber-Physical Systems and Internet of Things

Current Research

My research interests include security, sustainability and real-time aspects for Cyber-Physical Systems (CPS) and Internet of Things (IoT). My application areas include automobiles and transportation systems, cloud and data centers, and power and energy systems. My research techniques include optimization, algorithm design, data analysis, machine learning, control, and game theory.

Courses taught

  • Design of Operating Systems

Recent Publications

  • Fanxin Kong, Meng Xu, James Weimer, Oleg Sokolsky, and Insup Lee, “Cyber-Physical System Checkpointing and Recovery”, in the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2018.
  • Fanxin Kong, Xue Liu, and Insup Lee, “Joint Rate Control and Demand Balancing for Electric Vehicle Charging”, in the 3rd ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), 2018.
  • Fanxin Kong, Xue Liu, Zhonghao Sun, and Qinglong Wang, “Smart Rate Control and Demand Balancing for Electric Vehicle Charging”, in the ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS), 2016, pp. 1-10.
  • Fanxin Kong and Xue Liu, “GreenPlanning: Optimal Energy Source Selection and Capacity Planning for Green Datacenters”, in the ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS), 2016, pp. 1-10.

Jung-Eun Kim

Degree(s):

Ph.D. Computer Science, University of Illinois at Urbana-Champaign

M.S. Computer Science and Engineering, Seoul National University, Seoul, Korea

B.S. Computer Science and Engineering, Seoul National University, Seoul, Korea

Research interests:

  • AI/Machine learning for Cyber-Physical Systems (CPS)
  • Safety-/Time-critical systems
  • Real-time embedded systems

Current Research:

Dr. Kim’s current research lies at cyber-physical systems incorporating AI/machine learning capabilities. Cyber-physical and embedded systems are usually running in a resource-constrained environment. Hence, depending on the criticality of the learning applications, an advanced learning performance could be compromised while satisfying certain temporal and spatial requirements of the system’s core and essential tasks. Her research interest also includes developing systematic and analytic way to enhance and/or decompose the performance of learning components running in cyber-physical and embedded systems.

Teaching Interests:

My teaching interests include cyber-physical systems for safety-critical systems and/or machine learning systems, as well as real-time embedded systems.

Honors:

  • NSF SaTC (Secure and Trustworthy Cyberspace): CORE: Small: Partition-Oblivious Real-Time Hierarchical Scheduling, Co-PI, National Science Foundation, 2020–2023
  • GPU Grant by NVIDIA Corporation, 2018
  • The MIT EECS Rising Stars, 2015
  • The Richard T. Cheng Endowed Fellowship, 2015 – 2016

Recent Publications:

  • Man-Ki Yoon, Mengqi Liu, Hao Chen, Jung-Eun Kim and Zhong Shao, “Blinder: Partition-Oblivious Hierarchical Scheduling,” in Proceedings of the 30th USENIX Security Symposium (USENIX Security ’21), Aug. 2021.
  • Jung-Eun Kim, Richard Bradford, Max Del Giudice and Zhong Shao, “Adaptive Generative Modeling in Resource-Constrained Environments,” in Proceedings of the 24th ACM/IEEE Design, Automation, and Test in Europe (DATE), Feb. 2021.
  • Jung-Eun Kim, Richard Bradford, Max Del Giudice and Zhong Shao, “Paired Training Framework for Time-Constrained Learning,” in Proceedings of the 24th ACM/IEEE Design, Automation, and Test in Europe (DATE), Feb. 2021.
  • Jung-Eun Kim, Richard Bradford and Zhong Shao, “AnytimeNet: Controlling Time-Quality Tradeoffs in Deep Neural Network Architectures,” in Proceedings of the 23rd ACM/IEEE Design, Automation, and Test in Europe (DATE), Mar. 2020.
  • Jung-Eun Kim, Richard Bradford, Man-Ki Yoon and Zhong Shao, “ABC: Abstract prediction Before Concreteness,” in Proceedings of the 23rd ACM/IEEE Design, Automation, and Test in Europe (DATE), Mar. 2020.

Bryan S. Kim

Degree:

  • Ph.D. in Computer Science and Engineering, Seoul National University
  • M.S. in Electrical Engineering and Computer Science, Seoul National University
  • B.S. in Electrical Engineering and Computer Science, University of California, Berkeley

Research interests:

  • Flash and non-volatile memory-based systems
  • Data storage systems
  • File systems and key-value stores

Current Research:

I am broadly interested in computer systems and particularly focused on data storage systems. Current research directions include, but are not limited to, capacity-variant storage systems, self-learning systems, and next-generation key-value storage.

Recent Publications:

  • Hyeongyu Lee, Juwon Lee, Minwook Kim, Donghwa Shin, Sungjin Lee, Bryan S. Kim, Eunji Lee, and Sang Lyul Min. “SpartanSSD: a Reliable SSD under Capacitance Constraints,” in ACM/IEEE International Symposium on Low Power Electronics and Design, 2021
  • Jinhyung Koo, Junsu Im, Jooyoung Song, Juhyung Park, Eunji Lee, Bryan S. Kim, and Sungjin Lee. “Modernizing File System through In-Storage Indexing,” in USENIX Symposium on Operating Systems Design and Implementation, 2021
  • Jeseong Yeon, Leeju Kim, Youil Han, Hyeon Gyu Lee, Eunji Lee, and Bryan S. Kim. “JellyFish: A Fast Skip List with MVCC,” in ACM/IFIP International Middleware Conference, 2020
  • Youil Han, Bryan S. Kim, Jeseong Yeon, Sungjin Lee, and Eunji Lee. “TeksDB: Weaving Data Structures for a High-Performance Key-Value Stores,” in International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2019
  • Bryan S. Kim, Eunji Lee, Sungjin Lee, Sang Lyul Min. “CPR for SSDs,” in ACM SIGOPS Workshop on Hot Topics in Operating Systems (HotOS), 2019
  • Bryan S. Kim, Jongmoo Choi, and Sang Lyul Min. “Design Tradeoffs for SSD Reliability,” in USENIX Conference on File and Storage Technologies (FAST), 2019
  • Geonhee Lee, Hyeon Gyu Lee, Juwon Lee, Bryan S. Kim and Sang Lyul Min. “An Empirical Study on NVM-based Block I/O Caches,” in ACM SIGOPS Asia-Pacific Workshop on Systems (APSys), 2018
  • Bryan S. Kim, Hyun Suk Yang, and Sang Lyul Min. “AutoSSD: an Autonomic SSD Architecture,” in USENIX Annual Technical Conference (ATC), 2018
  • Bryan S. Kim. “Utilitarian Performance Isolation in Shared SSDs,” in USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage), 2018
  • Bryan S. Kim, Yonggun Lee, and Sang Lyul Min. “Framework for Efficient and Flexible Scheduling of Flash Memory Operations,” in IEEE Non-Volatile Memory Systems and Applications (NVMSA), 2017
  • Bryan S. Kim and Sang Lyul Min. “QoS-aware Flash Memory Controller,” in IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2017

Mehmet Kaya

Degrees

  • M.S. in Computer Science, Syracuse University
  • Ph.D. in Computer Engineering, Syracuse University

Teaching Interests

  • Data Structures and Algorithms
  • Object-Oriented Design
  • Mobile Application Development
  • Software Engineering

Garrett Ethan Katz

Degrees:

  • B.A. Philosophy, Cornell University, 2007
  • M.A. Mathematics, City College of New York, 2011
  • Ph.D. Computer Science, University of Maryland, College Park, 2017

Research interests:

  • Neural Computation
  • Cognitive Robotics
  • Dynamical Systems

Current Research:

My current research focuses on programmable neural networks: neural networks that can be “programmed” like a conventional computer to execute symbolic, cognitive-level tasks, but can then refine that procedural knowledge by learning from examples and experience.  One application of this work is in robotic imitation learning: “programming” robots from a single human demonstration of a task that requires high-level planning and reasoning.  A second application of this work is modeling the neural basis of cognition, and cognitive disorders, in humans.

In other research I am developing new solution methods for fixed point location in recurrent neural networks and other dynamical systems, including gradient flows of optimization objective functions.  This work applies broadly to solving non-linear systems of equations and non-convex optimization.  I have also worked on methods for computational tomography of biological virus particles.

Teaching Interests:

My teaching interests include machine learning and artificial intelligence, especially neural computation and automated planning, as well as dynamical systems, robotics, and human-robot interaction.

Honors:

  • Best student paper award at the 9thInternational Conference on Artifical General Intelligence, 2016
  • Distinguished Graduate Student Teacher, University of Maryland, 2014

Recent Publications:

  • Katz GE, Reggia JA (2017). Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks. IEEE Transactions on Neural Networks and Learning Systems.  DOI 10.1109/TNNLS.2017.2733544
  • Katz GE, Huang DW, Hauge T, Gentili RJ, Reggia JA (2017).  A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition.  IEEE Transactions on Cognitive and Developmental Systems.  IEEE. DOI 10.1109/TCDS.2017.2651643

Can Isik

Degree(s):

  • Ph.D. University of Florida, Gainesville, FL, 1985.
  • M.S. Middle East Technical University, Ankara, Turkey, 1980.
  • B.S. Middle East Technical University, Ankara, Turkey, 1978.

Lab/Center Affiliation(s):

  • Syracuse Center of Excellence
  • CASE Center

Research Interests:

  • Intelligent systems applications
  • Indoor environment control
  • Modeling and forecasting for financial systems
  • Medical Instrumentation

Current Research:

Modeling complex systems for improved control, forecasting, and signal processing is at the heart of my current research. I use a combination of analytical and computational methods, such as neural nets, fuzzy logic and genetic algorithms, validated by experimental and simulated data. We have applied this approach to process control, indoor environmental control, medical instrumentation, diagnostics and prognostics, and computational finance.

Courses Taught:

  • Controls

Honors:

  • Eta Kappa Nu, Member
  • Tau Beta Pi, Member
  • Golden Key, Honorary Member
  • Who is Who in Science and Engineering, 9th Edition, 2006
  • Outstanding Undergraduate Teacher, Eta Kappa Nu Syracuse University Chapter, 1998
  • K.S. Fu Award, North American Fuzzy Information Processing Society, 1997
  • Outstanding Service Award, Syracuse University, College of ECS, 1997
  • Who is Who in American Education, 4th Edition, 1994
  • University of Florida, Presidential Recognition, 1983

Selected Publications:

Dhummi, V., D. W. Demetriou, H. Palanthandalam-Madapusi, H. E. Khalifa, C. Isik, “Robust Occupancy-based Distributed Demand Ventilation”, International J. of Ventilation, Volume 9, No 4, March 2011.

Colak, S., C. Işık, H. E. Khalifa, J. Dannenhoffer, J. Grunewald, “Heat and Moisture Transport Modeling for a Protective Garment with an Active Sweating Device”, in ASME Congress, Vancouver, Canada, 2010.

Demetriou, D., O. Ozdemir, H. E. Khalifa and C. Isik, “Distributed Demand Controlled Ventilation for Improving IAQ”, Proc. Indoor Air 2008, Copenhagen, Denmark, 2008.

Sazli, M.H., Isik, C., “Neural Network Implementation of the BCJR Algorithm”, Digital Signal Processing, Volume 17, January 2007, pp 353-359.

Ari, S., I. Cosden, H. E. Khalifa, J. Dannenhoffer, P. Wilcoxen, and C. Isik, “Individual Thermal Comfort and Energy Optimization”, Proc. Clima2007, Helsinki, Finland, 2007.

S. Zhang, C.K. Mohan, P. Varshney, C. Isik, K. Mehrotra, S. Wang, Z. Gao, and R. Rajagopalan, “Coupling of Airflow and Pollutant Dispersion Models with Evacuation Planning Algorithms for Building System Controls”, ASHRAE Transactions. Vol. 112. Part 1. 2006.

Isik, C., “Blood Pressure Measurement”, invited chapter, the Encyclopedia of Medical Devices and Instrumentation, 2nd Ed, Vol 1. John G. Webster (Ed), Wiley, 2006.

Endadul Hoque

Degree:

  • Ph.D., Computer Science, Purdue University, 2015
  • M.S., Computer Science, Marquette University, 2010
  • B.S., Computer Science and Engineering, Bangladesh University of Engineering and Technology, 2008

Research interests:

  • Security of computer networks and systems
  • IoT systems security
  • Program analysis, software testing and verification
  • Vulnerability detection

Current Research:

His research focuses on the security of computer networks and systems. The software of computer networks and systems continues to have exploitable vulnerabilities, which are lucrative targets for adversaries. Within this broad domain, his particular emphasis is on automated detection of vulnerabilities as well as creating resilient protocols and systems. His research primarily builds on and expands program analysis, software engineering, and formal verification. His interests span several domains of computing, including network communication protocols, operating systems, distributed systems, internet-of-things (IoT) systems and embedded devices.

Honors:

  • Distinguished Paper Award at NDSS (Network and Distributed System Security Symposium) 2018
  • Bilsland Dissertation Fellowship Award from the Graduate School at Purdue University, 2015
  • Graduate Teaching Fellowship Award from Dept. of Computer Science at Purdue University, 2014

Recent Publications:

  1. Yahyazadeh, P. Podder, E. Hoque, and O. Chowdhury. Expat: Expectation-based Policy Analysis and Enforcement for Appified Smart-Home Platforms. In the proceedings of the 24th ACM Symposium on Access Control Models and Technologies (SACMAT 2019), Toronto, ON, Canada, June 2019
  2. Samuel Jero, Endadul Hoque, David Choffnes, Alan Mislove, and Cristina Nita-Rotaru. Automated Attack Discovery in TCP Congestion Control Using a Model-guided Approach. In the proceedings of Network and Distributed System Security Symposium (NDSS), San Diego, California, Feb 2018. [Distinguished Paper Award]
  3. Endadul Hoque, Omar Chowdhury, Sze Yiu Chau, Cristina Nita-Rotaru, and Ninghui Li. Analyzing Operational Behavior of Stateful Protocol Implementations for Detecting Semantic Bugs. In the Proceedings of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Denver, CO, June 2017.
  4. Sze Yiu Chau, Omar Chowdhury, Endadul Hoque, Huangyi Ge, Aniket Kate, Cristina Nita-Rotaru, and Ninghui Li. SymCerts: Practical Symbolic Execution For Exposing Noncompliance in X.509 Certificate Validation Implementations. In the Proceedings of IEEE Symposium on Security and Privacy (S&P), San Jose, CA. May 2017.

Mustafa Cenk Gursoy

Degree(s):

  • Ph.D. , Princeton University, 2004.
  • B.S., Bogazici University, Istanbul, Turkey, 1999.

Research Interests:

  • Wireless communications
  • Information theory
  • Signal processing
  • Cognitive radio systems
  • Energy efficiency
  • Quality of service provisioning in wireless systems
  • Wireless information-Theoretic security

Current Research:

Our recent research concentrated on the energy efficiency in wireless systems, performance analysis in wireless multiuser networks operating under quality of service (QoS) constraints, and energy-security tradeoffs in multi-antenna wireless communications.

We are also currently exploring cooperative and cognitive operation in wireless systems and the impact of interference. In particular, we study the spectrum and energy efficiency in cooperative relay channels, conduct performance analysis in cognitive radio channels in the presence of channel and/or sensing uncertainty, and investigate the throughput in fading interference channels under queuing constraints.

Teaching Interests:

  • Digital communications
  • Wireless communications
  • Information theory
  • Signals and systems
  • Probability theory and random processes

Honors:

  • Gordon Wu Graduate Fellowship, Princeton University
  • NSF CAREER Award, 2006
  • 2008 EURASIP Journal of Wireless Communications and Networking Best Paper Award
  • University of Nebraska-Lincoln (UNL) College Distinguished Teaching Award, 2009
  • Holling Family Master Teacher Award (UNL University-wide Teaching Award), 2009
  • Maude Hammond Fling Faculty Research Fellowship, 2011

Select Publications:

Journal Papers

D. Qiao, M. C. Gursoy and S. Velipasalar, “Energy Efficiency in Multiaccess Fading Channels under QoS Constraints,” EURASIP Journal on Wireless Communications and Networking: Special Issue on Green Radio, 2012:136, April 2012.

M. C. Gursoy, “Secure Communication in the Low-SNR Regime,” IEEE Transactions on Communications, vol. 60, no. 4, pp. 1114- 1123, April 2012.

D. Qiao, M. C. Gursoy, S. Velipasalar, “Transmission Strategies in Multiple Access Fading Channels with Statistical QoS Constraints,” IEEE Transactions on Information Theory, vol. 58, no. 3, pp. 1578-1593, March 2012.

S. Akin and M. C. Gursoy, “Performance Analysis of Cognitive Radio Systems under QoS Constraints and Channel Uncertainty,” IEEE Transactions on Wireless Communications, vol. 10, no. 9, pp. 2883-2895, Sept. 2011.

M. C. Gursoy, “MIMO Wireless Communications under Statistical Queueing Constraints,” IEEE Transactions on Information Theory, vol. 57, no. 9, pp. 5897-5917, Sept. 2011.

D. Qiao, M. C. Gursoy, and S. Velipasalar, “Secure Wireless Communication and Optimal Power Control under Statistical Queueing Constraints,” IEEE Transactions on Information Forensics and Security, vol. 6, no. 3, pp. 628-639, Sept. 2011.

D. Qiao, M. C. Gursoy, and S. Velipasalar “Energy Efficiency in the Low-SNR Regime under Queueing Constraints and Channel Uncertainty,” IEEE Transactions on Communications, vol. 59, no. 7, pp. 2006-2017, July 2011.

Conference Papers

D. Qiao, M. C. Gursoy, and S. Velipasalar, “Throughput Regions for Fading Interference Channels under Statistical QoS Constraints,” Proc. of the 2012 IEEE Global Communications Conference (Globecom), Dec. 2012.

M. Ozmen and M. C. Gursoy, “Energy Efficiency in Fading Interference Channels under QoS Constraints,” Proc. of the 2012 International Symposium on Information Theory and its Applications (ISITA), Oct. 2012.

Q. Chen and M. C. Gursoy, “Spectrum and Energy Efficiency in Two-Way Multi-Relay Networks with Selective Relaying,” Proc of the 2012 Military Communications Conference (MILCOM), Oct. 2012.

M. Ozmen and M. C. Gursoy, “Impact of Channel and Source Variations on the Energy Efficiency under QoS Constraints,” Proc. of the 2012 IEEE International Symposium on Information Theory (ISIT), Boston, July 2012.

G. Ozcan and M. C. Gursoy, “Channel Sensing and Estimation in Cognitive Relay Networks,” Proc. of the 2012 the IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Turkey, June 2012.

Jennifer W. Graham

Electromagnetic, complex media, antenna design and modeling

Education:

  • B.S.E.E Syracuse University, 2000
  • M.S.E.E. Syracuse University, 2004
  • Ph.D. Syracuse University, 2012

Current Research:

My current research includes understanding the behavior of electromagnetic waves in complex media specifically anisotropic media. I have studied biaxially anistropic media with the most depth including wave propagation and reflection and transmission.

I also have research interest in antennas including antenna modeling and measurement. I have combined research areas by modeling microstrip antennas printed on biaxially anisotropic substrates.

Courses taught:

  • ECS 101:  Introduction to Engineering and Computer Science
  • ELE 331:  Digital Circuits and Systems
  • ELE 333:  Analog Circuits
  • ELE 621:  Electromagnetic Fields
  • ELE 623:  Microwave Measurements
  • ELE 722:  Microwave Filters
  • ELE 726:  Computational Methods of Field Theory

Selected Publications:

J.W. Graham, J.K. and Lee, “Electromagnetic Waves in Biaxially Anisotropic Media,” Wiley Encyclopedia of Electrical and Electronics Engineering. 1–15 2015.

J.W. Graham and J. K. Lee, “Reflection and Transmission from Biaxially Anisotropic-Isotropic Interfaces,” Progress in Electromagnetic Research, PIER 136, 681-702, 2013.

J.W. Graham and J. K. Lee, “Rectangular Patch Antennas on Biaxial Substrates,” IEEE International Symposium on Antennas and Propagation, Orlando, FL July 2013.

J.W. Graham and J. K. Lee, “Microstrip Dipoles Printed on Biaxial Substrates,” IEEE International Symposium on Antennas and Propagation, Chicago, IL July 2012.

J.W. Graham and J. K. Lee, “Reflection and Transmission at Isotropic-Biaxial Interface,” URSI General Assembly and Scientific Symposium, Istanbul, Turkey, August 2011.

J.W. Graham, G. F. Pettis, and J. K. Lee, “Symmetrical Property of Dyadic Green’s Functions for Layered Anisotropic Medium,” IEEE International Symposium on Antennas and Propagation/URSI National Radio Science Meeting, Toronto Ontario, Canada, July 2010.

Nadeem Ghani

Software Engineering and design

Prasanta K. Ghosh

Degree(s):

  • Ph. D. Pennsylvania State University

Research Interests:

  • Smart grid
  • Sensors and measurement
  • High speed electronic devices and integrated circuits
  • Power engineering
  • Power electronics

Current Research:

I am actively developing several research projects in the area of Smart Grid systems, including Distributed Resources, EVs, Microgrid Design and Analysis. Other projects include the design and analysis of FinFET, as well as the development of Thin Film Sensors.

Courses Taught:

  • Electronics devices
  • Circuits
  • Power engineering
  • Diversity and ethics in the workplace

Selected Publications:

Nikkhah Mojdehi, P. Ghosh, and M. Fardad, “Energy and Cost Minimization of Bidirectional Frequency Regulation Service by EV following FERC Order 755,” IEEE Power and Energy Society General Meeting, 2015.

Mohammad Nikkhah Mojdehi and Prasanta Ghosh, “Minimization of Energy Usage and Cost for EV during Reactive Power Service”, Best Student Paper, IEEE International conference on Smart Energy Grid Engineering, 2015.

Chenrui Jin, Xiang Sheng and Prasanta Ghosh, “Optimized Electric Vehicle Charging with Intermittent Renewable Energy Sources”, IEEE Journal of Selected Topics in Signal Processing, Vol. 8, No. 6, pp 1063-1072, 2014.

Chenrui Jin, Jian Tang, Prasanta Ghosh, “Optimizing Electric Vehicle Charging with Energy Storage in the Electricity Market,” IEEE Transactions on Smart Grid, vol.4, no.1, pp311-320, 2013.

Feng and P. Ghosh, “Design Consideration in the Development of Multi-Fin FETs for RF Applications” World Journal of Nano Science and Engineering, 2012.

Venkata S.S. Gandikota

Degrees:

  • Ph.D. Computer Science – Purdue University
  • MS Computer Science – Purdue University
  • MSc Mathematics – Birla Institute of Technology and Science, Goa, India
  • B.E. Computer Science – Birla Institute of Technology and Science, Goa, India

Research interests:

  • Coding Theory
  • Information Theory
  • Foundations of Machine Learning

Current Research:

My current research focuses the algorithmic aspects of computing on structured data with applications to coding theory and foundational problems in machine learning.

Teaching Interests:

  • Foundations of Big Data Algorithms
  • Theory of Computation
  • Algorithms
  • Coding Theory

Selected Publications:

Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal. “Recovery of sparse linear classifiers from mixture of responses”. Thirty-fouth Conference on Neural Information Processing Systems (NeurIPS), 2020.

Venkata Gandikota, Arya Mazumdar, Ankit Rawat . “Reliable Distributed Clustering with Redundant Data Assignment”. IEEE Symposium on Information Theory (ISIT), 2020.

Larkin Flodin, Venkata Gandikota, Arya Mazumdar. “Superset Technique for Approximate Recovery in One-Bit Compressed Sensing”. Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019.

Ferdinando Fioretto

Degree

  • Ph.D., Computer Science, New Mexico State University & University of Udine

Research interest

  • Artificial Intelligence
  • Machine Learning
  • Multiagent Systems
  • Data Privacy

Current Research

I work on artificial intelligenceprivacy, and machine learning. My recent work focuses on (1) how to make AI algorithms better aligned with societal values, especially privacy and fairness, and (2) how to use machine learning for solving complex optimization problems. I study these questions using methods and models from optimizationstatisticsdifferential privacy, and multiagent systems. For more details, please see my publications.

Teaching Interests

  • Artificial Intelligence
  • Data Privacy

Honors & Awards

  • Google Research Scholar Program award (2022) – Google [Link]
  • NSF CAREER Award (2022) – NSF [Press]
  • Best Paper Award (2022) – IEEE Transaction of Power System [Link]
  • Mario Gerla Young Investigator Award (2021) – ISSNAF [Press]
  • ACP Early Career Research Award (2021) – ACP [Link]
  • Outstanding Reviewer Award (2021) – NeurIPS [Link]
  • Best Paper Award (2021) – IEEE Transaction of Power System [Link]
  • Differential Privacy Temporal Map Challenge Award (2020) – NIST ($5,000) [Link]
  • Best AI Dissertation Award (2017) – AI*IA [Press]
  • Most Visionary Paper Award (2016) – AAMAS Workshop series [Link]
  • Best Student Paper Award (2013) – CMSB [Link]

Makan Fardad

Degree(s):

  • BSc in Electrical Engineering, Sharif University of Technology, Iran, 1998.
  • MSc in Control Engineering, Iran University of Science and Technology, 2000
  • PhD in Mechanical Engineering, University of California, Santa Barbara, 2006

Research Interests:

  • Optimization and design problems in dynamical networks;
  • Synchronization and consensus in multi-agent networks;
  • Optimal control subject to sparsity/architectural constraints.

Current Research:

Makan Fardad’s research interests are in the analysis and optimization of dynamical networks. Particular focus is on extending ideas from controls, dynamical systems, and optimization theory to problems in network science. Application areas include synchronization of oscillator networks, optimal control of vehicular formations, design of sensor networks, and problems in social networks such as community detection, leader selection, and consensus formation.

Courses Taught:

  • Optimization and optimal control (ELE 712)
  • Modern control (ELE 612)
  • Functional methods of engineering analysis (ELE 603)
  • Signals and systems (ELE 351)
  • Classical control systems (ELE 312)

Honors:

  • Dean’s Award for Excellence in Engineering Education, 2015.
  • Recipient of 3 National Science Foundation Awards, 2009, 2013, 2015.

Selected Publications:

Fardad, F. Lin, and M. R. Jovanovic, “Design of Optimal Sparse Interconnection Graphs for Synchronization of Oscillator Networks,” IEEE Transactions on Automatic Control, vol. 59, pp. 2457-2462, 2014.

Lin, M. Fardad, and M. R. Jovanovic, “Algorithms for Leader Selection in Stochastically Forced Consensus Networks,” IEEE Transactions on Automatic Control, vol. 59, pp. 1789-1802, 2014.

Lin, M. Fardad, and M. R. Jovanovic, “Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers,” IEEE Transactions on Automatic Control, vol. 58, pp. 2426-2431, 2013.

Lin, M. Fardad, and M. R. Jovanovic, “Optimal Control of Vehicular Formations with Nearest Neighbor Interactions,” IEEE Transactions on Automatic Control, vol. 57, pp. 2203-2218, 2012.

Fardad and M. R. Jovanovic, “Design of Optimal Controllers for Spatially Invariant Systems with Finite Communication Speed,” Automatica, vol. 47, pp. 880-889, 2011.

Sara Eftekharnejad

Degree(s):

  • Ph.D., Electrical Engineering, Arizona State University, 2012
  • MSc. , Electrical Engineering, West Virginia University, 2008
  • BSc., Electrical Engineering, University of Tehran, 2006

Research Interests:

  • Integration of renewable energy into power systems
  • Power system stability and control
  • Power system reliability and security
  • Phasor Measurement Units (PMU) in smart grids

Current Research:

My research focuses on integration of renewable energy resources and power system stability with high penetration of renewables. I investigate how power systems are impacted when various renewables are integrated into systems. I also investigate how power system operation and planning needs to be modified to accommodate more renewables while achieving reliable power systems.

I also investigate the problems at the intersection of network science theory and power system analysis. This includes identification of critical contingencies and solutions to prevent cascading blackouts.

Courses taught:

  • Introduction to Power Systems
  • Power System Analysis
  • Power Electronics

Selected Publications:

Eftekharnejad, G.T. Heydt, and V. Vittal., “Optimal Generation Dispatch with High Penetration of Photovoltaic Generation”, IEEE Transactions on Sustainable Energy, Vol 6, Issue 3, pages 1013-1020, July 2015.

Eftekharnejad, V. Vittal, G.T. Heydt, B. Keel, and J. Loehr, “Impact of Increased Penetration of Photovoltaic Generation on Power Systems”, IEEE Transactions on Power Systems, Vol. 28, Issue 2, pages 893 – 901, May 2013.

Eftekharnejad, V. Vittal, G.T. Heydt, B. Keel, and J. Loehr, “Small Signal Stability Assessment of Power Systems with Increased Penetration of Photovoltaic Generation: A Case Study”, IEEE Transactions on Sustainable Energy, Vol. 4, Issue 4, pages 960 – 967, October 2013.

Ehat Ercanli

Degree:

  • Ph.D. Computer Engineering, Case Western Reserve University

Research Interests:

  • Computer Architecture
  • Embedded System Design
  • System Verification
  • VLSI Design Automation

Current Research:

Design automation of embedded processors with extension of super-scalar architectures to exploit inherent thread-level parallelism and instruction-level parallelism at run time within a single chip. Hardware-software interactions in such systems and their applicability to shared-memory systems, and their performance and functional verification.

Courses taught:

  • ECS 101 Introduction to Engineering and Computer Science
  • CSE 262 Digital System Design and Simulation with VHDL
  • CSE 561 Digital Machine Design
  • CSE 671 Embedded System Design
  • CSE 661 Advanced Computer Architecture
  • CSE 765 VLSI Testing and Verification

Selected Publications:

Improving Memory Space Utilization in Multi-core Embedded Systems using Task Recomputation. Koc H, Tosun S, Kandemir M, and Ercanli E, International Journal of Computer Science and Network, Volume 1, Issue 5, pp. 27-34, Oct 2012.

Exploiting Large On-Chip Memory Space Through Data Recomputation, Koc H, Kandemir M, Ercanli E. In Proceedings of the 23rd IEEE International SoC Conference (SOCC 2010), pp. 513-518, Las Vegas, NV, Sept 2010.

An ILP Formulation for Recomputation Based SPM Management for Embedded CMPs. Koc H, Ercanli E, Kandemir M, Ozturk O; In Proceedings of the 5th Workshop on Optimizations for DSP and Embedded Systems (ODES’07). San Jose, CA. Mar 2007.

Reducing Off-Chip Memory Access Costs Using Data Recomputation in Embedded Chip Multi-processors. Koc H, Kandemir M, Ercanli E, Ozturk O; In Proceedings of the 44th Design Automation Conference (DAC’07). San Diego, CA. June 2007. (Ranked #3 in Most Popular Papers Category from ACM Digital Library’s Refereed Journals and Conference Proceedings Downloaded in September 2007).

Compiler-Directed Temporary Array Elimination. Koc H, Ercanli E, Kandemir M, Son SW. The 4th Workshop on Optimizations for DSP and Embedded Systems. NY. Feb 2006.
Minimizing Energy Consumption of Banked Memories Using Data Recomputation. Koc H, Ozturk O, Kandemir M, Narayanan S, Ercanli E. In Proceedings of Intl Symposium on Low Power Electronics and Design (ISLPED’06). Tegernsee, Germany. Oct 2006.

Automated Code Generation For Database Applications. Ercanli E, Ozgencil N, Kahraman MG. The 14th Intl Conference on Intelligent and Adaptive Systems and Software Engineering (ISCA’05). Toronto, Canada, June 2005.

Shiu-Kai Chin

Degree:

  • Ph. D. Syracuse University

Lab/Center Affiliation(s):

  • Center for Information Systems Assurance and Trust
  • Institute for National Security and Counter Terrorism

Research Interests:

  • Computer security
  • Systems assurance
  • Formal verification

Current Research:

Shiu-Kai Chin’s research uses mathematical logic for the design and verification of trustworthy computer systems. Examples of computer systems that must be trustworthy are command and control systems, financial services, and distributed control of the power grid. His focus is on policy-based design and verification with an emphasis on using computer-assisted reasoning using higher-order logic theorem provers.

Shiu-Kai supports the Air Force’s research in trustworthy systems and hardware-based security. His work with JP Morgan Chase was used to reason about the security and integrity of credentials and entitlements in large-value commercial transactions.

Courses Taught:

  • Hardware design
  • Access control
  • Secure computer architecture
  • Certified security by design

Honors:

  • Provost Faculty Fellow
  • Laura J. and L. Douglas Meredith Professor for Teaching Excellence
  • Chancellor’s Citation for Outstanding Contributions to the University’s Academic Programs
  • 2005 Syracuse University Outstanding Teacher of the Year
  • Crouse Hinds Award for Excellence in Education

Selected Publications:

Shiu-Kai Chin, “Teaching Undergraduates Certified Security by Design,” 19th Colloquium for Information Systems Security Education, Las Vegas, NV, June 15-17, 2015.

Glenn Benson, Shiu-Kai Chin, Sean Croston, Karthick Jayaraman, Susan Older, Banking on interoperability: Secure, interoperable credential management, Computer Networks, Volume 67, 2014, pp. 235-251.

Shiu-Kai Chin, Erich Devendorf, Sarah Muccio, Susan Older, and James Royer, “Formal Verification for Mission Assurance in Cyberspace: Education, Tools, and Results,” Proceedings of the 16th Colloquium for Information Systems Security Education, Lake Buena Vista, FL, June 11-13, 2012, pp. 75—82.

Shiu-Kai Chin and Susan Older, Access Control, Security, and Trust: A Logical Approach, CRC Press, 2011.

Shiu-Kai Chin, “Logic Design for Access Control, Security, and Trust,” (Invited Keynote) Engineering of Reconfigurable Systems and Algorithms (ERSA’11) Las Vegas, 18-21 July 2011

Shiu-Kai Chin, Sarah Muccio, Susan Older, and Thomas N. J. Vestal, “Policy-Based Design and Verification for Mission Assurance,” in Igor Kotenko and Victor Skormin (Eds.), Computer Network Security, 5th International Conference on Mathematical Methods, Models and Architectures for Computer Network Security, MMM-ACNS 2010, St. Petersburg, Russia, September 2010.

Glenn Benson, Shiu-Kai Chin, Sean Croston, Karthick Jayaraman, and Susan Older, “Credentials Management for High-Value Transactions,” in Igor Kotenko and Victor Skormin (Eds.), Computer Network Security, 5th International Conference on Mathematical Methods, Models and Architectures for Computer Network Security, MMM-ACNS 2010, St. Petersburg, Russia, September 2010.

Biao Chen

Degree(s):

  • Ph. D., University of Connecticut

Lab/Center Affiliation(s):

  • Communication Laboratory

Research Interests:

  • Statistical inference applied to decentralized systems
  • Network information theory
  • Signal processing for MIMO, multi-user, and multi-carrier communications

Current Research:

My current work focuses on decentralized inference and in particular, how inference functions can impact the value of information in a networked system. Specific topics of interests include the sufficiency principle in the decentralized setting that guides optimal data reduction, the role of feedback and interactive communication in networked inference, and architectural issues in data fusion systems.

Another area of current interest is in characterizing the performance limits of multi-user networks, and in particular the classical interference channel. On the applied side, we have been involved in developing MIMO communication systems for airborne platforms when MIMO channels exhibits rank deficiency due to the lack of scatterers and in developing robust, efficient, and secure software radio systems.

Courses Taught:

  • ELE606: Probability
  • ELE651: Digital Communications
  • ELE751: Wireless Communications
  • ELE757: Information Theory

Honors:

  • NSF Career Award (2006)
  • Finalist, DARPA Spectrum Challenge (2013-2014)
  • IEEE Fellow (2015)

Selected Publications:

Akofor and B. Chen,”Interactive distributed detection: architecture and performance analysis,”IEEE Trans. Information Theory. vol. 60, pp.6456-6473, Oct. 2014.

Xu, S. Zhu and B. Chen,”Decentralized data reduction with quantization constraints,”IEEE Trans. Signal Processing, vol. 62, pp. 1775-1784, April 2014.

Chen, B. Chen, and P.K. Varshney,”A new framework for distributed detection with conditionally dependent observations,”IEEE Trans. Signal Processing, vol. 60, pp. 1409-1419, March 2012.

Shang, G. Kramer, and B. Chen,”A new outer bound and the noisy-interference sum-rate capacity for Gaussian interference channels,”IEEE Transactions on Information Theory, vol. 55, pp. 689-699, February 2009.

Chen, R. Jiang, T. Kasetkasem, and P.K. Varshney,”Channel aware decision fusion for wireless sensor networks,”IEEE Trans. Signal Processing, vol. 52, pp. 3454-3458, Dec. 2004.

C.Y. Roger Chen

Degree(s):

  • Ph. D., University of Illinois at Urbana-Champaign, 1987

Research Interests:

  • VLSI timing analysis and simulation
  • Transistor/circuit level power leakage reduction
  • Software debugging and verification
  • Distributed data sharing and collaboration

Current Research:

A current work that a doctoral student and I are working on is to develop techniques to reduce leakage power of circuits during idle times. Two specific techniques are developed: (1) Leakage power behavior is examined for reordering serially connected transistor blocks. Based on that, we can then determine a primary input vector to a circuit to reduce its leakage power during idle mode. (2) Effect of body bias is studied for nano-scale transistor. A hybrid technique (mixing reverse body bias and forward body bias) is developed to reduce power leakage during idle mode. Another current work that a doctoral student and I are working on is to develop a tool for software debugging and verification. Traditional IDE allows setting of break points, but provides minimum supports in reasoning and bug locating. The goal of this research work is to allow programmers to query various properties of programs and help locating the causes of property violations. Another current work that a doctoral student and I are working on is to design a transistor level circuit simulator, which gives an accuracy near that of SPICE, and can handles much larger circuits in much less run time. Other research work involves distributed data sharing and collaboration, design of platform and protocol for emergency response systems, etc.

Teaching Interests:

  • VLSI timing analysis
  • VLSI computer-aided design
  • Transistor level leakage power reduction
  • Multimedia information systems
  • Modeling and performance evaluation of computer/communication systems
  • Object-oriented databases
  • Computer networks
  • Parallel/distributed processing
  • Computer architecture

Select Publications:

Don P. McGarry, C.Y. Roger Chen.; “IC.NET — Incident Command “Net”: A system using EDXL-DE for intelligent message routing,” 2010 IEEE International Conference on Technologies for Homeland Security (HST), pp. 197 – 203, Nov. 2010.

Jae Woong Chun and C. Y. Roger Chen, A Novel Leakage Power Reduction Technique for CMOS Circuit Design, IEEE International SoC Design Conference (ISOCC), Nov. 1010.

Veerapaneni Nagbhushan, C. Y. Roger Chen: Modeling and reduction of complex timing constraints in high performance digital circuits. IEEE International Conference on Computer Design (ICCD) 2009

Ting-Wei Chiang, C Y Roger Chen and Wei-Yu Chen , “A Technique for Selecting CMOS Transistor Orders,” IEEE International Conference on Computer Design (ICCD), Oct. 2007.

Ting-Wei Chiang, C Y Roger Chen and Wei-Yu Chen, “An Efficient Gate Delay Model for VLSI Design,” IEEE International Conference on Computer Design (ICCD), Oct. 2007.

Tomislav Bujanovic

Degree(s):

  • Ph.D. in Electrical and Computer Engineering

Lab/Center Affiliation(s):

Smart Grid Lab

Smart Grid and Power Engineering Lab at Syracuse University has been developed to support teaching and research in contemporary Power Engineering.

  • Power Engineering Lab section has been designed for basic and advanced teaching and research in Power Electronics, Sensors & Measurements, Electromechanical Devices, including control systems, communication, and signal processing aspects. The advanced power electronics boards, supported by the real-time interfaces, are equipped for modern undergraduate and graduate level contemporary experimentation in power electronics and electromechanical devices.
  • Smart Grid Lab section enables continued development of a multidisciplinary research concept that includes advances in communication and control systems, cyber-security, privacy, and economics. This section consists of the setups for electrical transmission and distribution system, solar and wind energy integration, and synchrophasor measurement technology implementation.
  • Smart Home Lab section has been designed for building wired and wireless communication infrastructure and algorithm development for future smart home ideas. The lab is equipped with smart metering infrastructure, providing state-of-the-art environment to our researchers.
  • Distant learning concept implementation in Smart Grid Lab has been developed to enable the on-line lectures and student presentations, as well as the distant lab experiment demonstrations.

Research Interests:

  • Distributed generation integration and control in electric power microgrid
  • Dynamic optimization of microgrid operations and islanding capabilities
  • Microgrid secure communication and cybersecurity infrastructure
  • Singularity detection and classification and signal segmentation
  • Segmentation and motion estimation in time-varying images

Current Research:

  • Methodology for the development of sustainable microgrid infrastructure with distributed generation including difficult‑to‑predict renewable energy sources (survey of existing assets, economic feasibility study, technical feasibility study, microgrid design and pre‑deployment parameter validation, on‑site commissioning, post‑deployment metrics validation)
  • Microgrid stability and protection challenges (synchrophasor technology implementation for real time monitoring and control, protection schemes coordination with distributed generation, merging challenges of monitoring and protection infrastructure)
  • Sustainable microgrid operations by real time load scheduling optimization, using nonlinear and heuristic approaches
  • Microgrid cyber secure, distributed, and resilient communication architecture
  • Smart metering implementation for demand priority optimization and consumer’s cost reduction with energy availability and signal disaggregation constraints
  • Singularity detection and classification and signal segmentation in medical electroencephalography signals for real time epileptic seizure monitoring

Courses Taught:

Power engineering basic and advanced courses in:

  • Power electronics
  • Electromechanical devices
  • Sensors & measurements
  • Electric power systems
  • Distributed generation integration in smart grid
  • Advanced measurements in power engineering
  • Microprocessor based power system protection
  • Control of distributed generation

Signal processing and applied mathematics basic and advanced courses in:

  • Signals & systems
  • Digital signal processing
  • Functional methods and linear analysis
  • Spectral analysis and adaptive filtering
  • Wavelets

Supporting teaching courses in:

  • Introduction to Electrical Engineering
  • Introduction to Smart Grid
  • Smart grid: Security, Privacy, & Economy

Professional activities:

  • American Society for Engineering Education, St Lawrence Section Conference Co‑Chair, Syracuse, April 17‑18, 2015
  • American Society for Engineering Education, St Lawrence Section Chair, 2015

Skills:

  • Six-sigma green belt, SUNY-ESF, Syracuse, NY, 2012
  • Anti-explosion defense of electrical appliances on over-ground places imperiled from explosive blends, Institute for Nuclear Sciences “Vinca”, Belgrade, Serbia, Yugoslavia, 1995
  • Specialist’s examination certificate (the specialist’s examination for engineers dealing with construction projects), Chamber of the Economy of Serbia, Belgrade, Yugoslavia, 1993 (Serbian/Yugoslavian equivalent to Professional Engineer in the USA)

Publications & Presentations:

Arnav Kavadia et al., The Smart Grid: Operational, Privacy, Security & Economic Issues, American Society for Engineering Education, St Lawrence Section Conference, Syracuse, NY, 2015

Tomislav Bujanovic & Prasanta Ghosh, Laboratory Experiments for Enhanced Learning of Electromechanical Devices, American Society for Engineering Education, Zone 1 Conference, Bridgeport, CT, 2014

Tomislav Bujanovic & Ikhlas Abdel-Qader, On Wavelet Transform General Modulus Maxima Metric for Singularity Classification in Mammograms, Open Journal of Medical Imaging, 2013, 3, 17-30

Tomislav Bujanovic et al., Development of Undergraduate Power Engineering Teaching and Learning for future Smart Grid, American Society for Engineering Education, St. Lawrence Section Conference, Buffalo, NY, 2013

Liwen Sun et al., Wavelet Application to Detect Spikes in EEG Signals Due to Epileptic Seizure, IEEE Signal Processing in Medicine and Biology Symposium, New York City, NY, 2012

Syracuse Center of Excellence (CoE) in Environmental Energy Systems

SyracuseCoE is a collaborative organization that accelerates development of innovations for a sustainable future. As New York State’s Center of Excellence in Environmental and Energy Systems, we engage more than 200 private companies, organizations, and academic institutions to create new products and services in indoor environmental quality, clean and renewable energy, and water resource management.

With a staff based at its headquarters in downtown Syracuse, SyracuseCoE has three specialized teams that focus on research, industry collaboration, and sustainable community solutions. In research, we are at the forefront of groundbreaking new clean technologies—leveraging world-class R&D facilities from the iconic, high-performance, LEED™ Platinum “living laboratory” that is the SyracuseCoE headquarters to the state-of-the-art labs of our academic and industry partners. We drive and accelerate innovative research to the marketplace through strategic industry collaborations regionally, nationally, and internationally. We create sustainable community solutions by implementing new technologies and bringing the latest knowledge on environmental sustainability to the public through educational and training programs.

At our Syracuse site, we provide laboratory and office space for research and business collaborations involving new environmental and energy systems products and services. Research areas include systems that monitor and control comfortable air temperature, air quality, lighting, sound and water quality in built and urban environments, and innovative energy systems, including clean technologies and renewable fuel sources.

The work of the SyracuseCoE and its members impacts the essentials of our human existence in harmony with nature. We improve the energy that powers our lives, the air we breathe, the water we drink, and the buildings in which we live, work, learn, and play.

Faculty

Center for Information and Systems Assurance and Trust (CISAT)

The Center for Information and Systems Assurance and Trust (CISAT)is made up of faculty members from six schools and colleges at Syracuse University (College of Engineering and Computer Science, iSchool, S.I. Newhouse School of Public Communications, Maxwell School of Citizenship and Public Affairs, College of Law, and the College of Arts and Sciences) who share a common vision of improving society through the creation of trustworthy systems. The faculty, along with their partners, are interested in exploring questions such as:

  • What are the right combinations of policy, assurance, computing, and trust that balance risk, reward, safety, and innovations in ways that maximize participation and provide opportunity, while mitigating risk to acceptable levels
  • What must be assured and to what degree?
  • How are the components of policy, law, technology, and assurance combined productively? What, if any, are the underlying principles guiding the combination?
  • How is trustworthiness established and maintained (where trustworthiness includes integrity, confidentiality, reliability, safety, accountability, and ethics)?

Many CISAT Fellows have successful and distinguished careers in industry and government. Most Fellows maintain active projects and continuing relationships with government agencies, corporations, and other academic institutions.

Faculty

Center for Advanced Systems and Engineering (CASE)

CASE is New York State’s premier applied research center for interdisciplinary expertise in complex information intensive systems, including monitoring and control, predictive analysis, intelligence, security and assurance.
CASE has been a designated New York State Center of Advanced Technology (CAT) since 1984, bringing together traditional academic strengths in research and education to promote strong university-industry interaction and generate positive economic impact across New York State and beyond.

Faculty

Wenliang (Kevin) Du

Degree(s):

  • Ph.D. 2001, from Purdue University

Research Interests:

  • Computer and network security
  • Smartphone and mobile system security
  • Security education

Current Research:

Recent work has involved the studies of the Android operating systems with the following goals: (1) identify security problems in the design of the Android operating system, (2) identify security problems in mobile apps and develop tools to detect them, (3) develop improved access control for mobile systems.

Other current work includes the development of effective hands-on lab exercises for security education. We started the work in 2002, and we have developed about 30 labs for both undergraduate and graduate students. As of September 2015, over 350 universities and colleges worldwide are using them.

Courses Taught:

  • Computer security
  • Internet security
  • Android security
  • Android Programming

Honors:

  • 2014 Dean’s Award for Excellence in Engineering Education, May 2014.
  • 2013 Faculty Excellence Award from College of Engineering and Computer Science.
  • 2013 ACM CCS Test-of-Time Award.
  • Best Paper Award in the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 22-25, 2007, Nanjing, China.
  • Best Paper Award in The 19th IEEE International Parallel & Distributed Processing Symposium (IPDPS), April 4-8, 2005, Denver, Colorado.
  • Guo Mo-ruo Award (1992), University of Science & Technology of China.

Selected Publications:

Click here to see full list of publications.

Yousra Aafer, Nan Zhang, Zhongwen Zhang, Xiao Zhang, Kai Chen, XiaoFeng Wang, Xiaoyong Zhou, Wenliang Du, and Michael Grace. Hare Hunting in the Wild Android: A Study on the Threat of Hanging Attribute References. To appear in the 22nd ACM Conference on Computer and Communications Security (CCS), Denver, Colorado, USA. October 12-16, 2015.

Xing Jin, Xunchao Hu, Kailiang Ying, Wenliang Du, Heng Yin and Gautam Nagesh Peri. Code Injection Attacks on HTML5-based Mobile Apps: Characterization, Detection and Mitigation. In Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS), Scottsdale, Arizona, USA. November 3 – 7, 2014.

Paul Ratazzi, Ashok Bommisetti, Nian Ji, and Wenliang Du. PINPOINT: Efficient and Effective Resource Isolation for Mobile Security and Privacy. In Proceedings of the Mobile Security Technologies (MoST) workshop, May 21, 2015.

Tongbo Luo, Hao Hao, Wenliang Du, Yifei Wang, and Heng Yin. Attacks on WebView in the Android System. In Proceedings of the 27th Annual Computer Security Applications Conference (ACSAC), Orlando, Florida, USA. December 5-9, 2011.

Karthick Jayaraman, Wenliang Du, Balamurugan Rajagopalan, and Steve J. Chapin. Escudo: A Fine-grained Protection Model for Web Browsers. In ICDCS: The 30th International Conference on Distributed Computing Systems, Genoa, Italy, June 21-25, 2010

Wenliang Du. The SEED Project: Providing Hands-on Lab Exercises for Computer Security Education. In IEEE Security and Privacy Magazine, September/October, 2

J. Cole Smith

Degrees:

  • PhD, Industrial and Systems Engineering, Virginia Tech, 2000
  • BS, Mathematical Sciences, Clemson University, 1996

Research interests:

  • Integer programming and combinatorial optimization
  • Network flows and facility location
  • Computational optimization methods
  • Large-scale optimization due to uncertainty or robustness considerations

Honors:

  • 2019 Member, Academy of Distinguished Alumni for the Grado Department of Industrial and Systems Engineering at Virginia Tech
  • 2018 Fellow, Institute of Industrial and Systems Engineers
  • 2014 Glover-Klingman Prize for Best Paper in Networks (Sullivan and Smith, 2014)
  • 2010 Hamed K. Eldin Outstanding Young Industrial Engineer in Education Award
  • 2009 IIE Operations Research Division Teaching Award
  • 2007 IIE Transactions Best Paper Award (Lim and Smith, 2007)
  • 2002 Young Investigator Award recipient (awarded by Office of Naval Research)

Selected Publications:

Lozano, L. and Smith, J.C., “A Binary Decision Diagram Based Algorithm for Solving a Class of Binary Two-Stage Stochastic Programs,” to appear in Mathematical Programming, 2019.

Curry, R.M. and Smith, J.C., “Models and Algorithms for Maximum Flow Problems Having Semicontinuous Path Flow Constraints,” IISE Transactions, 50(6), 484-498, 2018.

Lozano, L. and Smith, J.C., “A Value-Function-Based Exact Approach for the Bilevel Mixed-Integer Programming Problem,” Operations Research, 65(3), 768-786, 2017.

Sefair, J. and Smith, J.C., “Dynamic Shortest-Path Interdiction,” Networks, 68(4), 315-330, 2016.

Romich, A., Lan, G., and Smith, J.C., “Optimizing Placement of Stationary Monitors,” IIE Transactions, 47(6), 556-576, 2015.

Electrical Engineering and Computer Science Professor Pramod Varshney and Students Working With Industry Leaders on Drone use Research

Pramod Varshney Portrait

Distinguished Professor Pramod Varshney’s Sensor Fusion Lab in the College of Engineering and Computer Science along with the Center for Advanced Systems and Engineering (CASE) at Syracuse University, is collaborating with the multinational Thales company to develop new tools and techniques for monitoring air space and tracking of small unmanned aircraft systems (UAS), commonly referred to as “drones”.

Drones, are becoming increasingly important in our daily lives in order to quickly and safely deliver essential goods and better serve populations. As the world faces new challenges, these types of capabilities provide alternative access with reduced physical touch points, which is particularly important in the context of COVID-19.  Varshney says this collaboration is critical to the advancement of drone integration into the national airspace system and integral to multiple, on-going integration projects including the U.S. Air Force Research Lab’s Collaborative Low-Altitude UAS Integration Effort (CLUE) and for the New York UAS Corridor—a project taking place in close proximity to Syracuse University to integrate drones into the airspace safely between Syracuse, NY, and the FAA’s UAS Test Site at the Griffiss International Airport located in Rome, NY.

Dr.Varshney’s lab is developing performance metrics and models for new radar systems being deployed ensuring that traditional aviators and drones do not get too close in the air, thereby creating a safety issue within the national airspace system.  Varshney and his students are working with Thales engineers and business leaders to implement algorithms that will more accurately track drones using multiple sensors (radar, acoustic, radio frequency and cameras) to provide real-time tracking ensuring safety in the air and on the ground.  Surveillance data fusion is a core competency at Syracuse University which led to the partnership between Thales and Varshney—a recognized, world-renowned expert in multi-sensor data fusion algorithmic development.

Thales, a global company with more than 80,000 employees developing and delivering solutions for aerospace, space, ground transportation, defense and digital identity and e-security,  has a long-standing commitment to university partnerships.

“While the company possesses world-class engineering and development professionals, business leaders within the company recognize the importance of academic partnerships to rapidly advance technologies and concepts, and develop the next generation workforce who will revolutionize business practices and technology advancement,” said Varshney.

As a large systems integrator, Thales helped define the standard for UAS airspace integration and traffic management models – specifically as an early partner with the FAA for Low Altitude Authorization and Notification Capability (LAANC). The company’s integration of third party capabilities, such as surveillance and other data services into a UTM platform, is enabling new digital services for UAS airspace access.  Varshney says Syracuse University plays a vital role in the integration of this safety-critical service.

“Central New York is leading the United States in the integration of drone technology.  Syracuse University and the school’s Autonomous Systems Policy Institute along with other organizations including CenterState CEO and NUAIR and Thales are committed to establishing a leadership role in the development of critical technologies, policies and new public-private business models to advance the United States’ national airspace system,” said Varshney.

Electrical Engineering and Computer Engineering 2021 Senior Design Capstone Presentations

Electrical engineering and computer engineering seniors worked together as teams on their senior capstone design projects. Each team built a working physical prototype and demonstrated their design, key components and technology to their classmates and faculty. Since teams were not allowed to present their designs to the public due to COVID-19 precautions, here are videos of the 2021 team presentations.

Train Driven Wind Turbine (Emerson Iannone, Miguel Gomez, Nick Fazzone, Ketan Dubey)

Smart Cup Holder (Brendan Ciarlone, Alex Cramer, Nick Mohan, Ian Dickerson)

Ride Along Autonomous Vehicle (Trevonne Davis, Han Gyul Kwon, Mrinal Mathur, Matthew Storozum)

Smart Home (Chongfang Xu, Shu Wang, Yifei Che, Guoliang Chen)

Etch-A-Sketch Control (Vincent Camarena, Andrew Kelsey, John Garcia)

Solar Tracking Panel (Isaiah Plummer, Daniah Alzubaidi, Roberto Salazar, Ryan Kane)

Fall Detection Alert (Dana Marie Castillo Chea, Matthew Gelinas, Kylie Nikolaus, Malkiel Asher)

Homebrew Radar (Jinzhi Cai, Eli Clark, Jack Guida, Erik Olsen)

Programmable Delivery Bot (Justin Geary, Stephen Rogers, Nicholas Landry, Ritwik Takkar)

Automatic Pet Feeder (Xionfeng Zhu, Shengran Cheng, Yuang Cao, Antian Liu)

Electrical engineering and computer science and Upstate Medical University researchers win notable award at artificial intelligence conference

A research collaboration between electrical engineering and computer science (EECS) researchers and colleagues at Upstate Medical University on detecting Alzheimer’s disease won notable award at an artificial intelligence conference. Professors Asif Salekin and Senem Velipasalar, EECS graduate students Fatih Altay and Guillermo Ramon Sánchez along with doctors Yanli James and Stephen V. Faraone from Upstate Medical University won the IAAI-21 Deployed Application Award at the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence.

The team’s research centers on early detection of Alzheimer’s disease. The most common symptoms of Alzheimer’s disease include problems with communicating and abstract thinking, as well as disorientation. Early detection of the disease can help improve cognitive functioning with medication and training. The research paper from the Syracuse University/ Upstate Medical University team proposes two machine learning approaches for detecting Alzheimer’s disease from MRI images to help early detection efforts at a preclinical stage before symptoms have appeared.

In their paper the team described the impact their research could have. “Recent reports on Alzheimer’s disease (AD) suggest that change in the brain may be evident 20 years before dementia symptoms, typically when the disease gets diagnosed. But substantial neuronal loss happens during that latent period of the disease. The early-stage intervention of AD can significantly impact the neuronal degeneration process and treatment of symptoms that would expand the patients’ life expectancy and quality of life. Hence, accurate detection or indication of preclinical AD is a major interest in the medical community. Our research is the first to develop an effective machine learning approach that can identify the latent patterns due to preclinical AD from MRI brain scans, which can significantly improve AD patients’ intervention and treatment.”

Engineering and Computer Science 2021 Research Day Award Winners

Thank you to everyone who took part in the Engineering and Computer Science 2021 Research Day on March 12th! We would also like to give a special thanks to Dr. Joseph Helble, Provost of Dartmouth College, for the keynote presentation. Here are the winners as chosen by our panel of judges.

Energy, Environment and Smart Materials

First Prize: Light-Induced Self-Writing: A Novel Approach to Develop Organized Polymer Composite Materials. Shreyas Pathreeker; Advisor Dr. Ian Hossein

Second Prize: Development of Inside Out Solid Oxide Fuel Cells for Combined Heat and Power Systems. Alexander Hartwell, Advisor Dr. Jeongmin Ahn

Third Prize: HYDRUS-1D Modeling to Represent Hydrologic Performance of the OnCenter Green Roof. Courtney Gammon; Advisor Dr. Cliff Davidson

Communication and Security

First Prize: Optimized Virtual Antenna Array of Wideband Narrow Beam MIMO System for Overlapped Virtual Elements. Richard Tanski, Advisor: Dr. Jay Lee

Second Prize: Coverage in Networks with Hybrid Terahertz, Millimeter Wave, and Microwave Transmissions. Xueyuan Wang, Advisor: Dr. M. Cenk Gursoy

Third Prize: An Efficient Deep Capsule Network with Interleaved Sparse Connections and Attention-Based Routing. Chenbin Pan, Advisor: Dr. Senem Velipasalar

Sensors, Robotics and Smart Systems

First Prize: Towards Disaster Recovery: Incorporating the Uncertainties Caused by Cyber Attacks in Controlled Islanding. Sagnik Basumallik, Advisor: Dr. Sara Eftekharnejad

Second Prize: Real-Time Adaptive Sensor Attack Detection in Autonomous Cyber-Physical Systems. Francis Akowuah, Advisor: Dr. Fanxin Kong

Third Prize (tie): Data Generation for Transient Stability Assessment to Address Lack of Training Data. Rui Ma, Advisor: Dr. Sara Eftekharnejad AND Soft Crawling Inchworm Robot Enabled by Dynamically Tunable Friction. Siavash Sharifi, Advisor: Dr. Wanliang Shan

Health and Well-being

First Prize: Investigation of the Effects of Electrochemical Reactions on Complex Metal Tribocorrosion within the Human Body. Thomas Welles; Advisor Dr. Jeongmin Ahn

Second Prize: Prediction of Tight Junction Strand Architecture. Nandhini Rajagopal, Advisor Dr. Shikha Nangia

Third Prize: Persister Control by Leveraging Dormancy Associated Reduction of Antibiotic Efflux. Sweta Roy; Advisor Dr. Dacheng Ren

Electrical Engineering and Computer Science Professor Vir Phoha on the Ethics of Facial Recognition Software

The use of facial recognition technology has been controversial and it has been criticized as being prone to misuse and reinforcing existing biases. Cities across the United States have been banning the use of facial recognition software and in the past year, companies like IBM, Microsoft and Amazon decided to suspend selling facial recognition software to police.  Electrical engineering and computer science professor Vir Phoha says he agrees with taking a deep look at the use of facial recognition technology and holding it back until proper safeguards to prevent unintentional misuse are found  but still believes it can be beneficial.

On the suspension of selling face recognition technology to police by Amazon, IBM, and Microsoft, he says “My first reaction was that they did the right thing. At the same time, once I thought about it, it is a very good technology. It has a lot of potential but it is a double edge sword. You use it properly and it can do great things and if you don’t use it properly, it can hurt you.”

Phoha has done extensive research on artificial intelligence, machine learning and security. He says a lot of questions about facial recognition should start with the humans who built them.

“There are many ways to do face recognition, one is geometric. So you look at the points, for example the distance between eyes, the length of the nose – that is geometric,” said Phoha. “There are multiple other ways such as making a base model, looking at variations, and storing the variations as a template for a user.  There are methods that involve learning and associating specific face types to specific gender or history, or behaviors. There is a learning involved. If you use machine learning or artificial intelligence, any learning can be biased by the people who build those algorithms. Unconsciously, people who build those algorithms may be bringing their own biases in regard to gender, race and age.”

An algorithm that reflects biases can have destructive effects. Numerous studies have shown it misidentifies Black and Brown faces at a much higher rate. A Commerce Department test of facial recognition software found that error rates for African men and women were twice as high as they were for Eastern Europeans. Errors can lead to wrongful arrests.

“If you say 10% more of a specific racial group have been convicted of a crime compared to a majority race, then a random person from that racial group who is completely innocent – their chance of being labeled as a criminal could be 10% higher just due to this underlying statistic being part of the algorithm,” said Phoha.

Phoha says it will be an ongoing fight to combat inherent biases in algorithms.

“It is good technology but we must make sure there are safeguards. Enough science should be there to make sure the algorithms that are built are impartial,” said Phoha. “In replicating human capabilities, humans have bias.”

Software that attempts to identify people based on their facial structure can easily be misconfigured.

“Facial structure can be very different for differing ethnicities,” said Phoha. “People who are biased without knowing they are biased, implicit bias that will be translated into data.”

If the technology is going to move forward, Phoha and many other experts believe it is an area where sociology, psychology, machine learning, computer science, artificial intelligence need to come together.

“The science will be a mess if we don’t consider all these factors. We want an equitable society,” said Phoha. “The potential of misuse is very high. Social justice, empathy and equity should be part of research in this area. We do not want a group where any groups are marginalized for any reason.”

Fall 2020 Engineering and Computer Science Dean’s List

In recognition of superior scholarship, the following students have been entered on the Engineering and Computer Science Dean’s List for Fall 2020.

To be eligible for Dean’s List recognition, the minimum semester grade point average must be 3.40 or higher, must have earned a minimum of 12 graded credits and must have no missing or incomplete grades.

Students: Please email engineering@syr.edu if you have questions about your current Dean’s List status.

Aerospace Engineering

Sean  Adams

Zar Nigar  Ahmad

Mukhammed Shamil  Askarov

Justin Douglas Blowers

Katherine Elizabeth Braun

Madeline Constance Brooks

Richard L Bruschi

Owen P Clyne

Nicholas Daniel Crane

Brian James Cronin

Ryan  Demis

Aleksandar  Dzodic

Kaleb Jonah Eddy

Hans-Christian  Esser

Kassidy  Fields

Christian Scott Fitzgerald

Elan  Fullmer

Benjamin Daniel Gerard

Alexandre J Gill

Sareta Rose Gladson

Jacob D Gomez

Zachary William Haas

David Leo Hadley

Alyssa  Henley

Aidan  Hoff

Jiaji  Hu

Sydney F Jud

Harrison  Kayton

Trevor Anthony Knight

Justin  Kohan

Trevor D Kroells

Isaac Alan Lehigh

Jacob Eric Long

Powers Craig Lynch

Noah  Martel

Maxwell Joseph Martin

Jason W McElhinney

Mariana C McManus

Alexander T Metcalf

John P Michinko

Vincent Anthony Miczek

Kendra Teresa Miller

Maximus Jules Mintz

Paul Robert Mokotoff

Evan Gregory Moore

Brendan Pierce Murty

Mark  Namatsaliuk

Daniel  Oluwalana

Randall McGinnis Osborn

David Dang Pham

Madeline G Phelan

Logan D Prye

Kazi Golam Rafee

Kip  Risch-Andrews

Tracey Josephine Rochette

Jared M Rodriguez

Gregory Joseph Ruef

William J Saueressig

Fred Evan Schaffer

Justine John A Serdoncillo

Vraj  Shah

Prabha  Singh

Gregory C Slodysko Jr

Zachary Michael Stahl

Ethan J Stocum

Marco  Svolinsky

Richard A Tedeschi

Darlene A Tinsley

Anthony R Tricarico

Sasha  Valitutti

Cody Joseph Vannostrand

Mason Alexander Weber

Timothy Dwayne Wiley

Aliza Marie Willsey

Xinyu  Wu

Melissa  Yeung

Bioengineering

Samantha Michelle Abate

Jordyn Danielle Abrams

Bianca Louise Andrada

Gabriela  Angel

Oumou  Azika

Colin J Babick

Paige  Bencivenga

Ailla Frances Bishop

Colby James Black

Anna Mae Brunson

Zeynep Sue Cakmak

Britnie Jean Carpentier

Jade Ashlee Carter

Maria G Catalane

Elizabeth Ann Clarke

Dominic Thomas Clinch

Mya R Cohen

Lukas  Cook

Shane A Corridore

Shaila S Cuellar

Linzy M Dineen

Anthony Mark Dragone

Alejandro J Durand

Bailey M Felix

Akweshie A Fon-Ndikum

Gabriela Renee Gonzalez-Beauchamp

Skyla  Gordon

Nathaniel Fee Gur-Arie

Grace  Haas

Lauren Elizabeth Hamilton

Victoria Li Rui Hathaway

Brenna  Henderson

Avinash  Jagroo

Madeline  Jones

Simran  Karamchandani

Gabriel  Khan

Mohamed F Khan

Olivia Lynne Kmito

Kiana Yanira Lally

Sara Anne Leonardo

Isabelle S Lewis

Trevor Daniel Amnott Liimatainen

Xinyan  Lin

Alejandra Eugenia Lopez

Mark Maximilian Macios

Ethan L Masters

Aelish  McGivney

Caitlin R Mehl

Lindy M Melegari

Hallie Teresa Morgan

Connor G Mulligan

Hannah V Murphy

Jonathan  Ngo

Mark  Nicola

Nicole E Nielsen

Matt Evan Orlando

Megan Isabel Perlman

Natalie Marie Petryk

Connor  Preston

Alexander C Rateb

Beatrice Elizabeth Reilly

Gavin David Richards

Rebecca A Schaefer

Brielle L Seidel

Alyssa  Shelburne

Justin N Stock

Elizabeth Tarami Su

Bearett Ann Tarris

Zhuoqi  Tong

Edgardo  Velazquez

Royce Robert Weber-Pierson

Nathaniel D Wellington

Maximillian Meier Wilderman

Lauren Margaret Woodford

Rui  Xie

Alina  Zdebska

Julian Marcus Smucker Zorn

Samantha  Zysk

Chemical Engineering

Paige O Adebo

Adriana M Archilla

Steven Matthew Axelsen

Olivia Anna Babu

Athena Andrea Basdekis

Sandy Ynhu Cao

Karley M Chambers

Trinity Joy Coates

Olushola  Coker

Kelly  Correa

Hao  Dai

Dennis  Dao

Samantha  Esparza

David Anthony Fikhman

Edward Coleman Fluker

Priya S Ganesh

Brent Tadao Gosselin

Avery  Gunderson

Oduduabasi James Isaiah

Aiden A Jacobs

Stanley  Jimenez

Sayf  Karim

Laxmi  Khatiwada

Adam J Klinger

Simran Dharmendra  Lakhani

Rawia F A M  Marafi

Angela L Martinez

Oliver  Mutu

Fabiana Nohelia Perez

Seth  Reed

Ivan  Sarbinov

Arsh Saifahmed Shaikh

Jacob Matthew Shellhamer

Dakota Alexander Story

Jason  Tan

Spencer T Tardy

Megan  Varcoe

Briana Nicole Vlacich

Connor Andrew Wescott

Nia  Williams

Melita  Zejnilovic

Civil Engineering

Orges  Agolli

Osama  Alkasabra

Anna Rose Arcaro

Nicole  Ayora-Gonzalez

Vincent  Barone

Noah J Bonett

Ryan  Bourdeau

Arielle  Bramble

Matthew Emmet Brewster

David Michael Brodsky

Emma Jane Brown

Alycia Joline Bruce

Joli L Cacciatore

Trevor  Caviness

Alejandro E Correa

Aymeric P Destree

Thomas  Driscoll

Bradley Charles Frederick

Maraea K Garcia

Stephen  Goffredo

Bensen  Gu

Zelin  Guo

Kyle Jacob Huff

Zachary Stephen Jodice

Kate Astrid Kemnitz

Alexander Gregory Klee

Adam Paul Landry

Abigail G Laschalt

Haben  Legesse

Daniel  Leyva

Emma Marie Liptrap

Emilija Alise Lizins

Erick  Lojano-Quispe

Lluvia Margarita Lopez Garces

John M Mazza

Michael J McDonough

Jessica M McGowan

Amira A Mouline

Marissa R Nicole

Erin E O’Brien

Kevin B Ordonez

Benjamin Joseph Putrino

Svetislav  Radovic

Victoria Isabella Rea

Isabella  Salgado

Cassie Elizabeth Saracino

Emma Hayes Schoonover

Juha Wesley Schraden

Ravyn  Smith

Caitlin Jane Spillane

Erin Meagan Splaine

Adrian  Stiefelmann

Anand  Veeraswamy

Nathan  Viramontes

Joseph Peter Wollke

Isabelle  Wong

Paige H Yamane

Computer Engineering

Adekunle J Akinshola

Chikeluba K Anierobi

Malkiel  Asher

Mergim  Azemi

Gavin M Beaudry

Kyle J Betten

Jackson Thomas Bradley

Jinzhi  Cai

Edward Patrick Caraccioli

Dynasty Da’Nasia Chance

Yifei  Che

Dana Marie Castillo Chea

Guoliang  Chen

Kongxin  Chen

Hossain  Delwar

Xavier  Evans

Elizabeth A Fatade

Isaiah Armando Fernandez

Aidan Robert Harrington

Ethan  Hensley

Benjamin N Johnson

Fundi  Juriasi

Ryan Anthony Kane

Andrew Edward Kelsey

Bikash  Khatiwoda

Connor  Kinahan

Jason C Kirk

Nicholas Gerard Lee Landry

Jessica K Lat

Matthew B Leight

Jiaxiong  Li

Cayden T Lombard

Nicholas Kent Magari

Kyle David Maiorana

Mrinal  Mathur

Isabel M Melo

Nicholas J Mohan

Benjamin Hudson Murray

Jose L Olivera

Jiannuo  Pei

Jessica A Reslan

Alfonso E Rivas

Kevin  Robertson

Daniel  Rose

Hongyi  Ruan

Alexander  Segarra

Ritwik  Takkar

Shu  Wang

Ryan  Wolff

Renjie  Xu

Andy  Zheng

Xiong Feng  Zhu

Computer Science

Aashutosh  Acharya

Aaron  Alakkadan

Genesis  Alvarez

Kwaku  Amofah-Boafo

Garret W Babick

Simon C Barley

Giovanna Elizabeth Barsalona

Julia R Barucky

Samantha E Bastien

Dazhi  Bi

Maxwell William Hans Bockmann

Joshua Jordan Boucher

Dane B Brazinski

Bryan Bladimir Bueno Reyes

Bryce  Cable

Christopher Manuel Calderon Suarez

Liam M Calnan

Megan J Campbell

Benjamin Elliott Canfield

Ta’Yea A Cano

Yuecheng  Cao

Abby  Chapman

Jackie  Chen

Kelvin  Chen

Siyu  Chen

Xinglin  Chen

Yixing  Chen

Yuhao  Chen

Doung Lan  Cheung

Season  Chowdhury

Konstantinos  Chrysoulas

Melissa  Chu

Bram H Corregan

Matthew  Cufari

Ryan Matthew Czirr

Otitodirichukwu Oto  Darl Uzu

Salvatore  DeDona

Rudolph  DelFavero

William Stuart Devitt

Matthew E Dickson

Ting  Dong

Russell Carl Doucet

Christopher  Edmonds

Xueyan  Feng

Nathan B Fenske

Lucas Kuebler Fox

Jeremy  Gavrilov

Grant Thomas Gifford

Brianna S Gillfillian

Brian J Giusti

Justin S Glou

Justin  Gluska

Dayong  Gu

Athanasios  Hadjidimoulas

Erika R Hall

Andrew  Hamann

Jillian Elizabeth Handrahan

Taisei  Hashimoto

Zitao  He

Miranda Rose Heard

Karen  Herrera

Wendy  Hesser

Cameron  Hoechst

Nicholas A Hoffis

Laurel  Howell

Jacob  Howlett

Natalie  Huang

Xuanye  Huang

Nathakorn  Jitngamplang

Austin Dean Johnson

Michael Wesley Jones

Alan  Jos

Aarya Tara Kaphley

Cynthia Sze Nga  Kar

Jaehun  Kim

Ekaterina  Kladova

Jared Michael Kozak

Polina  Kozyreva

Miksam  Kurumbang

Rami L Kuttab

Eric C Lee

Gaeun  Lee

Janet Jihoo Lee

Andy  Li

Hao  Li

Jiaqi  Li

Modi  Li

Rick M Li

Ruowen  Li

Ziqi  Li

Arvin  Lin

Haochen  Lin

Chang  Liu

Erxi  Liu

Jiaming  Liu

Jing  Liu

Junzhang  Liu

Steven  Liu

Yuyuan  Liu

Yiheng  Lu

Runzhi  Ma

Hunter O’Neal Malley

Kanoa  Matton

Anthony Louis Mazzacane

Noah  Mechnig-Giordano

Jose R Mendoza

Yiheng  Meng

Preston  Mohr

Thomas J Montfort

Gregory Philip Morneault

Jacob  Morrison

Jovanni Nicholas Mosca

Chenxi  Mu

Andi  Muhaxheri

Paige C Mundie

Phuc Nguyen  Nguyen

Kayla  Nieto

Carlyn M O’Leary

Maduakolam  Onyewu

Maya  Ostoin

Daniel  Pae

William Anderson Palin

Xiaofeng  Pan

Yulin  Pan

Michael J Panighetti

Joshua S Park

Jun Hyoung  Park

Brian Joseph Pellegrino

Siwei  Peng

Anthony  Perna

Duy  Phan

Fiona Colleen Powers Beggs

Shane Michael Race

Alexis Hope Ratigan

Maxwell Johnson Reed

Christopher  Rhodes

Lauryn Ashley Rivers

Julia R Ruiz

Sadikshya  Sanjel

Yousaf  Shahid

Huahao  Shang

Benjamin William Smrtic

Yijie  Song

Jeremy P Stabile

Kevin  Sullivan

Tasfia  Sultana

Mohammad Murtaza Ali Syed

Louanges Essohana Marlene Takou-Ayaoh

Melissa Li Tang

Rae  Tasker

Jonathan Ezra Thomas

Kyra Danielle Thomas

Griffin E Timm

Maxwell D Townsend

Brendan J Treloar

Fiona Mirabella Tubiana

Courtney Patricia Tuozzo

Randy C Vargas

Anthony Michael Verdone

Bermalyn Maricel  Vicente

Christopher Mark Vinciguerra

Tristan C Waddell

Puxuan  Wang

Ruobing  Wang

Zicheng  Wang

Robert  Ward

Daniel  Weaver

Jack Andrew Willis

Nolan Gabriel Willis

Ethan  Wong

Sio Iok  Wong

Tianyi  Wu

Zhiang  Wu

Zongxiu  Wu

Yurui  Xiang

Yujie  Xu

Jinyang  Xue

Chen  Yang

Chen  Yang

Jintao  Yang

Jishuo  Yang

Rory  Yang

Yisheng  Yang

Stella R Yaunches

Elin J Yaworski

Linsong  You

Yulun  Zeng

Chengyuan  Zhang

Liaotianbao  Zhang

Rixiang  Zhang

Weikun  Zhang

Liuyu  Zhou

Mochen  Zhou

Yixuan  Zhou

Ziying  Zhou

Raymond  Zhu

Sida  Zhu

Joseph Patrick Zoll

Engineering Undeclared

Olivia R Conlin

Andrew J Esposito

Elliane Reut Greenberg

Nicholas John Jacobs

Gavin Thomas Macisaac

Sean R Maddock

Sean  O’toole

Eric  Rodriguez

Haoran  Wang

Xinyi  Wang

Carly J Ward

Abigail Meghan Wischerath

Haven M Wittmann

Electrical Engineering

Mohammed A Aljohani

Tianle  Bu

Kevin E Buciak

Vincent Alec Camarena

Arianna Maxine Cameron

Yuang  Cao

Mingfu  Chen

Shengran  Cheng

Brendan Robert Ciarlone

Eli Aiden Clark

Nicholas Shawn Connolly

Alex Lev Cramer

Trevonne  Davis

Nicholas  Fazzone

John Charles Garcia

Justin P Geary

Matthew R Gelinas

Christopher  Gill

Jose I Ginorio

Jack Orlando Guida

Emerson  Iannone

Qingwen  Jia

Michael Matthew Kelly

Han Gyul  Kwon

Jemma  Mallia

Liam Fuller Marcato

Tyler Sean Marston

Zixun Nian  Nian

Kylie Elizabeth Nikolaus

Julia  Pepin

Stephen Joseph Rogers

Gilberto E Ruiz

Roberto Alexander Salazar-Ramirez

Jenna Mei Stapleton

Luke J Terris

Jared William Welch

Abigail  Wile

Zheyuan  Zhang

Environmental Engineering

Ana Cristina  Baez Gotay

Luke M Borden

Benjamin R Cavarra

Evan James Cibelli

Cambre Rae Codington

Elizabeth Bryant Cultra

Cameron Nicole Edwards

Anna  Feldman

Allyson  Greenberg

Jessenia Paola Guzman

Brady E Hartnett

Christopher Graham Harvey

Anna M Holdosh

Eva Rose Kamman

Abigail Rose King

Nicholas Colin Axel Kohl

Birch  Lazo-Murphy

Audrey B Liebhaber

Carleigh A Lutz

Kevin A Lynch

Molly M Matheson

Matthew Edward Nosalek

Yongfang  Qi

Kaura Yanse Reyes

Mary H Schieman

Noah Michael Sherman

Ian  Storrs

Husna M Tunje

Jacob M Tyler

Maria Antonia  Villegas Botero

Savannah Marie Wujastyk

Qiuyu  Zhou

Reilly  Zink

Mechanical Engineering

Owyn Phillip Adams

Joshua Carl Arndt

Timothy G Arnold

Arda  Arslan

Michael James Battin Jr

Rachael O Beresford

Renee Allison Brogley

Arnaud  Buard

Meaghan Patricia Loan Burns

Ryan G Burns

Tyler  Burns

Adrian L Caballero

Alexander Joseph Callo

Joseph Timothy Capra

Caleigh J Casey

Rishov  Chatterjee

Artur  Chuvik

Santiago  Correa

Samuel Joseph Corrigan

Cooper P Crone

Peter M Daniels

David Matthew Denneen

Madeline  Doyle

Katherine Grace Driscoll

Henry C Duisberg

Griffin Thomas Estes

Luke Samuel Fink

Andrew John Gagan

Clinton Edward Farina Garrahan

Samuel Ryan Getman

Derrick Edward Goll

Emily Ann Greaney

Daniel Robert Greene

David M Griffin

Connor  Hayes

Melissa Jane Hiller

Elliott J Holdosh

Yongsong  Huang

John Christopher Inzinga

Nicholas W Jebaily

Zhao  Jin

Dong Myeong  Kang

Daniel Jacob Kenney

Finnian James Kery

Teagan L Kilian

Cherry  Kim

Savannah Mae Kreppein

Elizabeth Marcy Kretzing

John  Larkin

Lily  Larkin

Peter  Le Porin

Samuel Robert Livingston

Honorata  Lubecka

Bei  Luo

Katherine Elizabeth Macbain

Ryan Patrek Martineau

Ryan A Melick

Sarah Ann Michael

Georgios  Michopoulos

Leilah  Miller

Wiley Robert Moslow

Allison  Mullen

Yuanhao  Nong

Beau M Norris

Aidan T O’Brien

Nicholas Joseph Papaleo

Scott  Reyes

Aidan  Riederich

Colin  Santangelo

Nathan  Schnider

Shane M Sefransky

William Kaspar Sherfey

Jake Matthew Sheridan

Zachary Ryan Shuler

Eric  Silfies

Nathaniel  Slabaugh

Griffin  Smith

Owen Nicholas Smith

Austin James Sumner

Yiyuan  Sun

Matthew K Swanson

Ethan William Tracey

Evan R Tulsky

Nicholas Erik Vestergaard

Taj Asim Whitney

Michael  Wong

Tszho  Wong

Sean T Wuestman

Ruohan  Xu

Maxwell James Yonkers

Xiaoqing  Yu

Systems & Information Science

Sean  Chen

Ryan Thomas Congdon

Yiyang  Dai

Anuj P Gupta

Connor W Gurnham

Rodcliff  Hall

Skyler Marie Hall

Stacy  Kim

Mitchell F Liang

Anthony  Moon

Niara A Phoenix

College of Engineering and Computer Science Honored by the American Society for Engineering Education’s Diversity Recognition Program

Syracuse University’s College of Engineering and Computer Science received bronze level status by the American Society for Engineering Education’s (ASEE) Diversity Recognition Program. The program’s goal is to help engineering, engineering technology, and computing programs promote diversity, equity, and inclusion in member colleges and ultimately in the workplace.

“I am thrilled that our collective efforts to support the college’s strategic goals, and the DEI advancements in our policies, procedures, practices and programs, positioned Syracuse University’s College of Engineering and Computer Science to be among select best in class institutions who received this national recognition,” said Assistant Dean for Inclusive Excellence Karen Davis.

Syracuse University’s bronze status from the ASEE is valid for three years and begins in 2021. The ASEE says timetables for silver and gold recognition will be posted in the future.

Electrical Engineering and Computer Science Professor Farzana Rahman Awarded ExploreCSR 2020 Grant by Google to Introduce and Engage Underrepresented Students in Computing Research

Electrical engineering and computer science (EECS) Professor Farzana Rahman received a 2020 Google exploreCSR award to fund the development of an undergraduate student engagement workshop program, Research Exposure in Socially Relevant Computing (RESORC).

The RESORC program will provide research opportunities to undergraduate students from Syracuse University and nearby institutions targeting populations underrepresented in computing, including Latinx, African American, American Indian or Indigenous and LGBTQIA+ students.

According Rahman, the population of students pursuing CS and computing degrees is not representative of the diversity of people in the U.S., with women and other groups persistently underrepresented. Additionally, research has shown that computing research pipeline is not diverse since women and underrepresented students face many barriers like lack of self-confidence, stereotype threat, and lack of women role models. There is also lack of knowledge regarding research opportunities and the potential benefit of research careers. Many unrepresented students are never exposed to research due to coming from institutions with limited research capabilities. The intersectionality of these students also places more structural barriers for them to explore anything other than a regular degree. RESORC aims to diversify the Ph.D. pipeline through peer-assisted, team-based research exposure that places special emphasis on mentoring women.

The primary objectives of this workshop are to –

  • Introduce women students to graduate education and research career opportunities.
  • Share best practices and resources to conduct research.
  • Support students to become stronger candidates for doctoral programs.
  • Create a network of future women scientists in the area of computing.

The RESORC experience will expose participants to research in socially relevant computing though close mentoring provided by the graduate students of the SU EECS department. These graduate mentors will attend a training session informed by best practices for mentoring underrepresented students by NCWIT.

The workshop will use Social Cognitive Career Theory (SCCT) that will help to influence the career ambitions and choices of participants in computing through guided research exploration. It will also use a Peer-Assisted Team Research (PATR) model that will involve participants in research experiences within teams with a dedicated graduate mentor’s supervision. PATR will improve student’s scientific reasoning abilities, research self-efficacy, and sense of belonging in computing.

“I expect that this experience will enable our Ph.D. student volunteers to be better, more inclusive mentors as they pursue their own careers,” said Rahman.

After an initial proof-of-concept year, Rahman hopes to sustain and expand RESORC to reach more students at Syracuse University and nearby other institutions in the area.

Syracuse University Ranked in the Top 25 for Best Online Graduate Information Technology Programs by U.S. News & World Report

Syracuse University’s School of Information Studies (iSchool) and the College of Engineering and Computer Science (ECS) have been recognized as No. 11 for Best Online Graduate Information Technology Programs for Veterans and No. 25 for Best Online Graduate Information Technology Programs by U.S. News & World Report for 2021.

The full rankings, released earlier today, are available on the U.S. News & World Report website.

The College of Engineering and Computer Science offers online master’s degree programs in cybersecuritycomputer science and computer engineering.

The iSchool offers M.S. degree programs in applied data scienceinformation managementinformation management for executives and library and information science online.

“This ranking reflects the outstanding work our faculty have put in to make Syracuse University a leader in online education. The online computing master’s programs offered by the College of Engineering and Computer Science allow students to take classes on a schedule that is right for them and it can be an opportunity to advance their career while still working full time,” said Jae C. Oh, chair of the Department of Electrical Engineering and Computer Science and the David G. Edelstein Professor for Broadening Participation.

“The iSchool is pleased to receive this recognition of our high-quality online programs from U.S. News and World Report,” says Victoria Williams, director of online education and post traditional education at the iSchool. “For over 25 years, our online programs have attracted working professionals from around the world. The iSchool’s interdisciplinary and applied-learning approach allows students to customize a degree to gain the skills needed to meet their career goals and immediately apply what they’re learning in the classroom to their professional roles. We’re proud that our programs remain highly ranked for Information Technology and Info Tech for Veterans as the field continues to be competitive.”

“Our online programs are an outstanding option for people having a diverse array of educational and personal backgrounds. We have been intentional in designing a high-quality, rigorous online educational program while also giving students the flexibility they need,” said College of Engineering and Computer Science Dean J. Cole Smith. “It is gratifying to see our Syracuse University programs in the top 25 of the national rankings.”

iSchool Dean Raj Dewan adds, “There is a long history of groundbreaking work being done at Syracuse University’s iSchool. This 2021 ranking underscores that standing as well as the school’s ongoing commitment to innovation in the digital age. The iSchool is exceptional at offering today’s students and professionals the kinds of education and experiences they will need for successful careers in a wide range of fields, and our graduates are highly sought-after for their skills in information technology and management, cloud computing, data analytics, machine learning, library science, and more.”

Innovation & Entrepreneurship at Syracuse University Webinar

A discussion between the Executive Director of the Blackstone LaunchPad, Linda Dickerson Hartsock, and aerospace engineering and Invent@SU alumna Kayla Simon ’19 about the many ways Syracuse University supports students in designing, prototyping and pitching their new businesses.

Electrical Engineering Alumni Profile: Ed Swallow ’80

When Ed Swallow ’80 first visited the Syracuse University campus, he was not certain what engineering major he would pursue with his Air Force ROTC scholarship. Following a meeting with the electrical engineering program director, Swallow learned something he thought made electrical engineers unique and he knew what he wanted to do.

“Electrical engineers learn problem solving,” said Swallow. There isn’t one answer. In electrical engineering there are dozens or hundreds of ways of accomplishing the same thing.”

His initial Syracuse experience had an immediate and lasting impact.

“My advisor was really good about trying to get me to broaden my horizons. It was good the University allowed me to engage in a variety of experiences. It’s the multi-disciplinary education that my advisor helped me get that was the greatest takeaway,” said Swallow. “Knowing that I was Air Force ROTC and I was going to become an officer, my advisor basically said recognize you are not going to do a lot of engineering, you’re going to lead engineers and being a generalist is going to be better for your entire career. He was incredibly right about that. More than anything else, that one conversation made a big university feel very personal to me.”

That meeting formed the foundation of what would become the theme of his career. Swallow went on active duty in August of 1980 and started in satellite operations.

“I was very interested in image processing. I focused on infrared image processing by the time I graduated and that’s what ended up having the Air Force send me out to California to fill an electrical engineering slot,” said Swallow. “Back then it was highly classified, but I worked on the Gambit and Hexagon film return reconnaissance spacecraft and I heavily used my Syracuse background.”

While on active duty, Swallow went into space operations and helped on the front-end building first of their kind space systems. He gained leadership experience as an acting commander while stationed at Thule Air Force base in Greenland. Before entering the reserves in 1985, Swallow gained his first experience with NASA working as one of the payload communicators on space shuttle STS-4. From there things moved rapidly. Swallow took a job with a company named Ultrasystems Defense and Space, which through a series of mergers and acquisitions eventually became part of Logicon.

“I went from an individual contributor, to task manager, to assistant program manager, to deputy program manager, to program manager to director of programs for the entire Silicon Valley office. A lot of that was because I understood the customers and how to solve problems for them as a generalist, which helped me grow the business. I went to work for a company called Space Applications Corporation as tech director, but quickly moved to division general manager, and in 1997 I became the vice president of business development. Not long after that, they promoted me to the equivalent of COO,” said Swallow. “By 2001 we sold the company to L3 Communications, so I went to work at Northrop Grumman.”

Following the events of September 11th in 2001, Swallow’s work had him building relationships with the Department of Homeland Security and he helped deploy the homeland secure data network. He would then go on to play critical roles in some of the largest IT projects in the country, including the New York City secure broadband wireless system for first responders and the first cloud deployment for the federal government. Swallow’s team even helped bring together the opening sequence of the 2008 Academy Award winning film “The Hurt Locker.”

“If you look carefully, that robot had a Northrop Grumman logo on it and I was the one that signed the deal that allowed them to use the robot for the film,” said Swallow. “They did not actually blow it up. Thank goodness.”

Like his Syracuse University advisor had told him, being a generalist had become the primary thread in his career. Following a brief retirement from Northrop in 2014, Swallow accepted his current position as senior vice president, Civil Systems Group at The Aerospace Corporation.

“It is the best job on the planet. I get to work with senior leaders in the space world, help advise them on policy and help them find solutions to deep technical problems,” said Swallow.

His current position has put him at the heart of the human exploration system. Recently, he co-chaired the program status assessment for Artemis, the mission to put the next man and first woman on the moon by 2024. He oversees a team building a next-generation space suit and he has people managing the extravehicular activity of astronauts.

Swallow has ten simple rules for success he shares with students and young professionals. One of them is invest your time, don’t just put in the hours. This is a reminder to always think about what you are going to take away from working on a project. It’s a habit that helped him begin developing critical soft skills his last semester at Syracuse University when ROTC made him the cadet corps commander and he had to give weekly addresses.

“I sought leadership positions and it was that leadership training I received through the ROTC that I think was incredibly important,” said Swallow.

Now, as an industry leader, Swallow has some ideas about the next big growth areas for aerospace and electrical engineering.

“In aerospace engineering, where things are headed very quickly is hypersonics [pun intended]. High-speed point to point transportation. On the electrical engineering side, building trust into autonomous systems is the big thing,” said Swallow. Building trusted AI systems that always have a predictable outcome is really a tough nut to crack and if somebody figures that out at the graduate level, they’re going to find a job just about anywhere.”

Ed Swallow’s ten simple rules for success:

  1. Invest your time, don’t just put in the hours
  2. Dress for the job you want, not the one you have
  3. Trying to show how smart you are usually backfires
  4. W.A.I.T: Why Am I Talking?
  5. There are no “gut courses” in business — always do your best
  6. Build a brand, internally and externally, and honor that brand
  7. Verbs matter: Take blame; accept credit
  8. Make your boss a hero, help her get promoted, never surprise them
  9. Don’t confuse activity with results
  10. Integrity, honesty, and strong ethics outweigh all else

Electrical Engineering and Computer Science Professors Qiu and Gursoy Receive 2020 IEEE Region 1 Technological Innovation (Academic) Awards

Electrical engineering and computer science Professors Cenk Gursoy and Qinru Qiu received 2020 IEEE Region 1 Technological Innovation (Academic) Awards. Both were nominated by Distinguished Professor Pramod Varshney.

Qiu was recognized for her pioneering contributions in stochastic power management and brain-inspired architectures to achieve energy efficient computing.

“I want to thank Dr. Varshney for the nomination, and thank my colleagues, friends and students for their support,” said Qiu. “I’m honored to be recognized by this award and also encouraged to further my research in the area of energy efficient and brain-inspired neuromorphic computing.”

Gursoy was recognized for his significant contributions in wireless communications and networking.

“In my research group, we have been working to solve the challenges in the design of 5G wireless networks. More recently, we have started to analyze next-generation 6G wireless systems by incorporating machine learning into the network design. It is a great honor to have these efforts and contributions recognized with the IEEE Technological Innovation (Academic) Award,” said Gursoy. “I also would like extend my sincere thanks to Prof. Varshney for nominating me for this award.”

Cognitive Wireless Systems Networks

Biao Chen Information theory, Wireless communications and networks, MIMO, Cognitive radio and networks, Wireless sensor networks, Distributed inference.

Makan Fardad Optimization and resource allocation.

M. Cenk Gursoy Wireless communication and networks, Energy efficient and green communications.

Pramod Varshney Wireless sensor networks, Distributed inference, Sensor management Multi-modality sensor networks.

Senem Velipasalar Wireless embedded smart cameras, Video sensor networks, Resource efficient algorithms for embedded platforms.

Intelligent Systems Including Data Mining & Network Analysis

Link creation, leader selection, and community detection in consensus/synchronization networks.

Data Mining, Social Network Dynamics, Evolutionary Optimization, Neural Networks, Anomaly Detection.

Multi-agent systems, Game theory, Swarm robotics, large scale learning and classification, Big data visualization.

Machine Learning, Security and Privacy in Social Networks.

Structure of social networks and communities, Identifying communities in networks, Predicting missing links, Applications. Interdisciplinary topics, including ecology, social sciences, and computational sustainability.

Text Mining and Social media mining.

Information fusion, Intelligent signal processing.

Wireless embedded smart cameras, mobile camera applications (including smart phones and UAVs), wearable sensors, visual surveillance, smart camera networks and resource efficient algorithms for embedded platforms.

Big Data Analytics, Social Media Mining, Large-Scale Information Networks, Social Computing; Information diffusion, influence, opinion formation, and means of evaluation in social media.

Artificial Intelligence, Machine Learning, Privacy, Multi-agent Systems

Faculty

Hardware Design and Computer Architecture

Hardware delay and power modeling and optimization; new methodologies and application for software development.

Dynamic power and thermal management for computer systems, High performance computing for cognitive applications, Neuromorphic computing.

Green and sustainable computing, energy generation/storage systems, and near-threshold computing for next generation devices.

Faculty

Energy and Signal Processing


Smart grid technology, renewable energy, sensors, VLSI RF circuits.

Power grid infrastructure, Intelligent sensing and Control architecture, Optimization methodology to meet load demand, Control in smart grid.

Renewable energy resources and planning, Intersection of network science theory and power system analysis; Power system operation with widespread deployment of Phasor Measurement Units.

Faculty

Artificial Intelligence and Data Sciences

Link creation, leader selection, and community detection in consensus/synchronization networks.

Data Mining, Social Network Dynamics, Evolutionary Optimization, Neural Networks, Anomaly Detection.

Multi-agent systems, Game theory, Swarm robotics, large scale learning and classification, Big data visualization.

Machine Learning, Security and Privacy in Social Networks.

Structure of social networks and communities, Identifying communities in networks, Predicting missing links, Applications. Interdisciplinary topics, including ecology, social sciences, and computational sustainability.

Text Mining and Social media mining.

Information fusion, Intelligent signal processing.

Wireless embedded smart cameras, mobile camera applications (including smart phones and UAVs), wearable sensors, visual surveillance, smart camera networks and resource efficient algorithms for embedded platforms.

Big Data Analytics, Social Media Mining, Large-Scale Information Networks, Social Computing; Information diffusion, influence, opinion formation, and means of evaluation in social media.

Artificial Intelligence, Machine Learning, Privacy, Multi-agent Systems

Faculty

Cybersecurity

Design and verification of trustworthy systems.

System security (Smart phone and Web), Mobile technologies, Security education.

Cyber Security, Denial of Service Security, Smart phones and tablets security, Biometrics.

Specialty logic to reason about security.

System security, applied cryptography, big data analytics.

Security of cognitive radio and wireless, Byzantine, Game theory.

Faculty