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Qiang Ji
Professor
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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.
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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
New Book: Probabilistic Graphical Models for Computer Vision
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 4810/6810 Introduction to Probabilistic Graphical Models
Human Gesture, Action, and
activity recognition
Real-Time
non-invasive human state modeling, recognition, and prediction
Probabilistic Graphical
Models and Their Applications
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
What's New
Teaching
Research Projects
