Yuichi Motai, Ph.D.
Associate Professor, Department of Electrical and Computer Engineering · VCU College of Engineering
Associate Professor of the Department of Electrical and Computer Engineering of Virginia Commonwealth University.
System Safety Intelligent Systems with Adaptive Tracking Online Classification Methodologies Medical Imaging Pattern Recognition
Idris Jeelani
Assistant Professor · University of Florida
Idris Jeelanis's research focuses on construction safety, visual data analytics and cognitive sciences.
Human-Drone Interaction Construction Safety Computer Vision Eye-Tracking
Hayder Radha
Professor and Associate Chair for Research · Michigan State University
Hayder Radha is an expert in autonomous vehicle research, coding and communications, image and video compression and image processing.
Autonomous Vehicles Subband Visual Content Representation Communications coding
M. Ehsan Hoque
Asaro Biggar Family Fellow in Data Science, Assistant Professor of Computer Science, and faculty member in the Goergen Institute for Data Science and Artificial Intelligence · University of Rochester
M. Ehsan Hoque is designing and implementing new algorithms to sense subtle human nonverbal behavior
Data Science Human Nonverbal Behavior Interactive Machine Learning Human-Computer Interaction Computer Vision
Navid Asadi
Associate Professor/Deputy Director · University of Florida
Navid Asadi works on approaches to secure microelectronics and PCBs using advanced physical methods based on imaging and characterization.
Microscopy Failure Analysis AI Computer Vision Reliability
Christopher Kanan
Associate Professor of Computer Science · University of Rochester
Christopher Kanan's research focuses on deep learning and Artificial Intelligence (AI)
AI and Machine Learning Applied Machine Learning (e.g. Medical Computer Vision) Language-guided Scene Understanding Artificial Intelligence Deep Learning
Olexandr Isayev
Assistant Professor, Chemistry · Carnegie Mellon University
Olexandr Isayev's research focuses on solving fundamental chemical problems with machine learning, molecular modeling and quantum mechanics.
Theoretical Chemistry Computational Chemistry Machine Learning Cheminformatics Drug Discovery
Ameet Talwalkar
Associate Professor, Machine Learning · Carnegie Mellon University
Ameet Talwalkar's work is motivated by the goal of democratizing machine learning.
Machine Learning Algorithms Computational Biology Bioinformatics Data Mining
Cang Ye, Ph.D.
Professor · VCU College of Engineering
Dr. Ye's research interests include Simultaneous Localization and Mapping, 3D Computer Vision, Robotics, and Intelligent Systems.
Damon Woodard
Professor/Director · University of Florida
Damon Woodard specializes in the application of artificial intelligence methods such as computer vision and natural language processing.
Machine Learning National Security Artifical Intelligence Biometrics
Irene Fonseca
Professor · Carnegie Mellon University
Irene Fonseca's research focus is on training in applied mathematics at the broad interface between the physical sciences and engineering.
Ferroelectric Engineering Business and Economics Applied Mathematics Shape Memory Alloys
Derek Riley, Ph.D.
Professor, Program Director · Milwaukee School of Engineering
Dr. Derek Riley is an expert in machine learning, deep learning, artificial intelligence, simulation, and high-performance computing.
Large Language Models, Generative AI Machine Learning Deep Learning Computational Science Computer Science
Simon Morris
Corporate Advisory Board · InventionShare
High technology business leader with extensive global experience commercializing technology
Branding Strategies Business Strategy Commercializing Technology
Michael Tarr
Professor and Department Head · Carnegie Mellon University
Michael Tarr is an expert in visual perception and how the brain transforms 2D images into high-level percepts.
Cognitive Neuroscience Cognitive Science Computational Perception