Research / Areas of ResearchAI Engineering: Designing a Sustainable Future of Intelligence
Research activities in this domain address a variety of challenges in designing and optimizing hardware to support computation needed by artificial intelligence and machine learning. Some of the research activity also targets optimizing computational paradigms for AI as they apply to application domains with profound societal impact, such as medicine and health sciences, autonomous systems, and smart environments.
Cross-Cutting Areas
AI-Driven Physics and Device Modeling • Biomedical Imaging • Collaborative Systems • Computer Vision • Control Systems • Cyberphysical and Autonomous Systems • Embodied Agents • Real-time AI Hardware • Signal Processing and Machine Learning • Smart Environments
AI Engineering Faculty
Alok Choudhary
Harold Washington Professor of Electrical and Computer Engineering and Computer Science
Dongning Guo
Professor of Electrical and Computer Engineering and (by courtesy) Computer Science
Russell Joseph
Associate Professor of Electrical and Computer Engineering
Associate Professor of Computer Science
Ermin Wei
Associate Professor of Electrical and Computer Engineering, Industrial Engineering and Management Sciences and (by courtesy) Computer Science
Ying Wu
Professor of Electrical and Computer Engineering and (by courtesy) Computer Science
Hai Zhou
Professor of Electrical and Computer Engineering and (by courtesy) Computer Science