Artificial Intelligence

Artificial Intelligence Research

AI Research Overview

Senem Velipasalar and two students looing at a computer monitor

ECS researchers are actively working to push the boundary of artificial intelligence (AI) research.

A core research area is data mining where ECS researchers seek to understand, interpret, and predict events from massive datasets. The fusion of information from diverse sources involving both physical and cyber systems is another area where fundamental research challenges and innovative technological solutions are being pursued. Across ECS, researchers are also working collaboratively to harvest the power of ML/AI to enable intelligent building control for a smart, healthy, and decarbonized built environment.

Two men using a screwdriver to work on an electronic piece of equipment.

Building autonomy and machine intelligence in drones for various sustainability applications like structure inspection, agriculture, and disaster relief is an active research area at ECS. One collaborative effort of researchers advances smart, healthy, and decarbonized built environments by integrating sensing, interpretation, and predictive control as a comprehensive solution. Another cross-disciplinary effort seeks to improve resilience against natural or man-made threats in various cyber-physical systems. 

Examples of Current Research

AI Research Faculty

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Elizabeth Carter
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Biao Chen
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Bing Dong
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Venkata S.S. Gandikota
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M. Cenk Gursoy
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Endadul Hoque
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Alex K. Jones
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Garrett Ethan Katz
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Bryan S. Kim
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Kristopher Micinski
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Young B. Moon
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Vir V. Phoha
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Qinru Qiu
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Amit K. Sanyal
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Paulo Shakarian
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Sucheta Soundarajan
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Pramod K. Varshney
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Senem Velipasalar
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Reza Zafarani