EECS Graduate Program Director
CST 4-133
qiqiu@syr.edu
315.443.1836
Degree(s):
- Ph.D.
Areas of expertise:
- Green computing
- Neuromorphic computing
- Machine learning
- Distributed systems
- Explainable AI
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:
Dr. Qinru Qiu received her PhD in Electrical Engineering from the University of Southern California. She is currently a Distinguished Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. Her research interests include neuromorphic computing, machine learning, and energy efficient computing. She served/serves as an associate editor for several IEEE/ACM journals including IEEE TNNLS, IEEE CAS Magazine, IEEE TCDS, IEEE TCAD, IEEE TC-CS, and Frontier on Neuroscience on Neuromorphic Engineering. She also served/serves on the organization committee and technical program committee of many IEEE/ACM conferences. Dr. Qiu is a recipient of the NSF CAREER award in 2009, IEEE Region 1 Technological Innovation award in 2020, ACM Distinguished Member in 2022, and Distinguished Lecturer of the IEEE CEDA Society (2023-2024). She is a Fellow of IEEE.
Courses Taught:
- VLSI Design
- Computer architecture
Honors:
- Distinguished Professor
- IEEE fellow
- CEDA Distinguished Lecturer (2023 – 2024)
- IEEE CAS Magazine Best Associate Editors (2023)
- Chancellor’s Citation for Faculty Excellence and Scholarly Distinction (2023)
- IEEE Circuit and System Magazine Best Associate Editors 2022
- ACM Distinguished Member (2022)
- IEEE Region 1 Technological Innovation (Academic) Award (2020)
- ACM Recognition of Service Award (2019)
- ACM SIGDA Distinguished Service Award (2011)
- NSF Career Award (2009)
- American Society for Engineering Education (ASEE) Summer Research Faculty Fellowship (2007)
Selected Publications:
1. B. Wang, Y. Ma, and Q. Qiu, “Prompt-based Domain Incremental Learning with Modular Classification Layer,” European Conference on Artificial Intelligence (ECAI), 2024.
2. N. Lin, J. Chen, R. Zhao, Y. He, K. Wong, Q. Qiu, Z. Wang, J J. Yang, “In-memory and in-sensor reservoir computing with memristive devices,” APL Machine Learning, 2024.
3. J. Liu, Y. Bu, and Q. Qiu, “Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling,” International Conference on Learning Representations (ICLR), 2024.
4. Z. Zhang, J. Jing, and Q. Qiu, “SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation,” to appear on 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 2024.
5. Y. Bu, J. Liu, and Q. Qiu, “Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness,” International Green and Sustainable Computing (IGSC), 2023.
6. Q. Huang, C. Luo, S. Khan, A. B. Wu, H. Li, and Q. Qiu, “Multi-agent Cooperative Games Using Belief Map Assisted Training,” European Conference on Artificial Intelligence (ECAI), 2023.