Xiaoming Liu
MSU Foundation Professor · Michigan State University
Xiaoming Liu works on computer vision, machine learning, and biometrics, especially on face related analysis.
Deepfake Detection Biometrics Computer Vision Machine Learning Pattern Recognition
Richard J. Radke
Professor, Electrical, Computer, and Systems Engineering · Rensselaer Polytechnic Institute
Studies computer vision problems related to human-scale, occupant-aware environments
Radiotherapy Smart Lighting Social Signal Processing Video Processing Computer Vision
Martial Hebert
University Professor and Dean · Carnegie Mellon University
Martial Hebert performed research on interpreting 3D data from range sensors for obstacle detection and object recognition.
Robotics Autonomous Systems Robotics and Autonomous Vehicles Computer Vision Interpretation of Perception Data
Deva Ramanan
Professor · Carnegie Mellon University
Deva Ramanan's research interests span computer vision and machine learning, with a focus on visual recognition.
Human-Centered Robotics Human-Robot Collaboration Machine Learning Embedded in Systems Neurorobotics 3-D Vision and Recognition
Jiebo Luo
Albert Arendt Hopeman Professor of Engineering / Professor of Computer Science · University of Rochester
Luo is an expert in artificial intelligence (AI) foundations in an array of fields
Artificial Intelligence and Agriculture Artificial Intelligence and Audio and Speech Recognition Artificial Intelligence and Augmented Reality and Virtual Reality Artificial Intelligence and Biology and Medicine Artificial Intelligence and Business and Finance
Chenliang Xu
Associate Professor of Computer Science · University of Rochester
Xu is an expert in artificial intelligence (AI) and machine learning and computer vision, and augmented and virtual reality
Artificial Intelligence and Computer Vision Artificial Intelligence and Machine Learning Augmented Reality Virtual Reality
Shaowen Xu
Associate Professor, Department of Mechanical Engineering · Georgia Southern University
Shaowen Xu is an expert in Friction Stir Welding Processing, Advanced Nanomaterials and Nanofracture and Nanofailure.
Stress Analysis Material Behavior of Advanced Engineering Materials and Bio-materials Friction Stir Welding Processing Advanced Nanomaterials, Nanofracture and Nanofailure Transient Dynamics of Extreme Loads
Peter Christensen
Arthur Satz Professor of the Humanities and Professor of Art History · University of Rochester
Peter Christensen's specialization is modern architectural and environmental history of Germany, Central Europe and the Middle East.
Architectural design theory and history Critical Digital Humanities Historicism 19th Century Architectural History 20th Century Architectural History
Matthew Johnson-Roberson
Professor · Carnegie Mellon University
Matthew Johnson-Roberson's research goal is to develop robotic systems capable of operating in complex dynamic environments.
Folding Space Structures Robotic Vision 3D Reconstruction Artifical Intelligence Robotics/Autonomous Vehicles
Joshua Bard
Associate Professor and Associate Head · Carnegie Mellon University
Joshua Bard is an architectural educator conducting applied research at the intersection of construction culture and robotic technology.
Architectural Robotics Robotic Technology Computational Methods Sustainable Architecture Design
Anil Jain
University Distinguished Professor, Department of Computer Science · Michigan State University
Expert in biometrics (pattern recognition, computer vision and biometric recognition)
Pattern Recognition Computer Vision Biometrics Markov Random Fields Clustering Data
Michael D. Smith
Professor · Carnegie Mellon University
Michael D. Smith's research uses economic and statistical techniques to analyze firm and consumer behavior in online markets.
Streaming Digital Media Products Consumer Behavior Higher Education Policy
Josh Siegel
Assistant Professor · Michigan State University
Josh Siegel works across disciplines to develop “deep technologies” within the mobility sector.
Vehicle Diagnostics Cybersecurity Autonomous Vehicles Sensor Fusion Pervasive Sensing
Raheem Beyah
VP Interdisciplinary Research, professor, Electrical and Computer Engineering · Georgia Tech - COE
Raheem Beyah is an expert in the intersection of the networking and security fields.
Energy Grid Security Network Security Cyber-physical systems security Privacy Network Monitoring and Performance
Venkat Margapuri, PhD
Assistant Professor, Computing Sciences · Villanova University
Dr. Margapuri researches in the fields of Artificial Intelligence and Machine Learning for applications in agriculture and healthcare.
Artificial Intelligence Machine Learning Computer Vision Hardware Security Cyber Physical Systems
Allan Zarembski
Professor of Practice Civil and Environmental Engineering; Director, Railway Engineering and Safety Program · University of Delaware
Prof. Zarembski has expertise in railroad track engineering and railroad safety.
Railroad Track Engineering Railroad Safety Derailment Analysis Wheel-Rail Interaction Rail Inspection
Arash Tavakoli, PhD
Assistant Professor, Civil and Environmental Engineering · Villanova University
Prof. Arash Tavakoli, Ph.D., leads the Human Centered Cities Lab, focusing on human factors, human-centered design, and transport safety.
Human Factors in Transportation Engineering Transportation Safety Human Centered Design Human Sensing Naturalistic Driving
Aleix Martinez
Professor | Department of Electrical and Computer Engineering · The Ohio State University
Engineering expert, with a penchant for affective computing and computer learning
Machine Learning Computer Science Pattern Recognition Computer Vision Computational Neuroscience
Nicola Rohrseitz
Technology Expert · Vissee — We are, We see
Founder, CEO at ViSSee
Robotics Start-Ups Biomimicry Artificial Intelligence and Machine Learning Innovation & Design Thinking
Arthur Porto
Assistant Curator · University of Florida
Arthur Porto's research focuses on the development of AI tools for processing biodiversity data at scale.
Computer Vision Image analysis Artificial Intelligence AI Machine Learning