Qiang Ji

Department of Electrical, Computer, and Systems Engineering
Rensselaer Polytechnic Institute
JEC 7004
Troy, NY 12180-3590
Phone: (518) 276-6440
Secretary: Priscilla Magilligan, JEC 6049, (518) 276-6313

*About Me

Qiang Ji received his Ph.D degree in electrical engineering from the University of Washington. He is currently a Professor with the Department of Electrical, Computer, and Systems engineering at RPI. From January, 2009 to August, 2010, he served as a program director at the National Science Foundation, managing NSF's machine learning and computer vision programs. Prior to joining RPI in 2001, he was an assistant professor with Dept. of Computer Science, University of Nevada at Reno. He also held research and visiting positions with the Beckman Institute at University of Illinois at Urbana-Champaign, the Robotics Institute at Carnegie Mellon University, and the US Air Force Research Laboratory. Dr. Ji currently serves as the director of the Intelligent Systems Laboratory (ISL). Prof. Ji is a fellow of the IEEE and the IAPR.

*Research Interests

Human-centered Computer Vision, Probabilistic Graphical Models, Probabilistic Machine Learning, Affective Computing, Robotics, Intelligent Transportation, Human Computer Interaction, and Information Fusion for Decision Making under uncertainty. For details on current research projects, click here


*What's New

New Book: Probabilistic Graphical Models for Computer Vision

Errata and updated appendix

Vision-Guided Robot Targets Natural Interaction with Humans

Scientists Have a Plan to Make Humans Accept Robots: Give Them a Sense of Humor

Enhanced Robot “Vision” Enables More Natural Interaction With Humans

RPI Lab Works On Robots' 'Vision'

2018 International Conf. on Automatic Face and Gesture Recognition, Xi'an, China



ECSE 4850/6850 Introduction to Deep Learning

ECSE 6965: Advanced Topics in Probabilistic Deep Learning

ECSE 6650 Computer Vision

ECSE 4810/6810 Introduction to Probabilistic Graphical Models

ECSE 6610 Pattern Recognition


*Research Projects

Human Gesture, Action, and activity recognition

Real-Time non-invasive human state modeling, recognition, and prediction

Probabilistic Graphical Models and Their Applications

Face Related Projects

Knowledge Augmented Visual Learning

Body Pose Estimation and Tracking

Image Segmenation and Medical Imaging

Active Information Fusion for Decision Making Under Uncertainty

Brain Computer Interface (BCI) Research

More projects ...


Video Demos