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Faculty and Researchers
Using AI

Meet our distinguished faculty who are leading groundbreaking research and education in artificial intelligence across multiple disciplines.


Featured Faculty

Professor Kakadiaris

Ioannis Kakadiaris
Computer Science
Professor

Dr. Kakadiaris is a leading researcher in computer vision, machine learning, and AI applications for social good. Principal investigator of AI-FEED and AI-SERVE projects.

Research Areas: Computer Vision Social AI Healthcare AI

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Professor Jun

Mikyoung Jun
Mathematics
Professor

Dr. Jun is an expert in statistical modeling and environmental applications with research interests in development of spatial models for applications in climate, air quality, engineering, and political science problems.

Research Areas: Medical AI Computer Graphics Image Analysis

Featured Article Profile
Assistant Professor Momen

Mostafa Momen
Mechanical Engineering
Assistant Professor

Dr. Momen's research focuses on AI applications for wind forecasting in urban environments and the analysis of the atmospheric boundary layer.

Research Areas: Atmospheric AI Wind Forecasting Urban Climate

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Assistant Professor Wang

Lu Wang
College of Medicine
Health Systems and Population Health Sciences
Assistant Professor

Dr. Wang is focusing on medical data science and is expert in interactive explainable deep survival analysis and health behavior AI applications.

Research Areas: Healthcare AI Survival Analysis Explainable AI

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Professor Glennie

Craig Glennie
Civil & Environmental Engineering
Professor

Principal investigator of the $63.5M AC4 project, expert in geospatial AI and terrain modeling.

Research Areas: Geospatial AI Remote Sensing Terrain Analysis

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Associate Professor Alipour

Amin Alipour
Computer Science
Associate Professor

Dr. Alipour's research focus is on AI security, human-centered AI in education, and detection of trojans in large language models.

Research Areas: AI Security Educational AI LLM Safety

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Prof Albert M. K. Cheng

Albert M. K. Cheng
Computer Science
Professor

Dr. Cheng is a pioneering researcher in real-time AI, focusing on explainable, reliable, and verifiable systems in multiple domains including intelligent transportation, NLP, and quantum computing.

Research Areas: Real-Time AI Explainable and Verifiable AI Intelligent Transportation SystemsReal-Time NLP Quantum Computing

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Assistant Professor Cescon

Marzia Cescon
Mechanical Engineering
Assistant Professor

Research in data-enabled neural predictive control and digital twins of human physiology.

Research Areas: Control Systems AI Digital Twins Biomedical Engineering

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