Qiang Ji
Associate Professor
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Qiang Ji received his Ph.D degree in electrical engineering from the University of Washington under the supervision of Prof. Robert Haralick . He is currently an associate Professor with the Department of Electrical, Computer, and Systems engineering at RPI. 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 senior member of the IEEE.
Prof. Ji's research interests are in
computer vision, probabilistic reasoning with Bayesian Networks for decision
making and information fusion under uncertainty, human computer interaction,
pattern recognition, and robotics.
Research Excellence Award, School of Engineering, RPI, 2006
The Best Paper Award, IEEE Computer Vision and Pattern Recognition Workshop on Face Recognition Grand Challenge Experiments, 2005
The Best Land Transportation Paper Award, IEEE Vehicular Technology Society, 2004
Honda Initiation Grant Award, 1998
Introduction to Probabilistic Graphical Models
Computer vision, Probabilistic Reasoning with Probabilistic Graphical Models, HCI, medical imaging, and robotics. For details on current research projects, click here
Our research on driver fatigue monitoring is featured in a recent US DOT report on emerging technologies for driver fatigue monitoring. The report can be downloaded from here
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Associate editor, IEEE Transactions on Systems, Man, and Cybernetics Parts A and B
Associate editor, IEEE Transactions on Intelligent Transportation Systems
Associate editor, Pattern Recognition Letters journal
Editorial board, Image and Vision Computing journal
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Human activity modeling and recognition
Real-Time
non-invasive human state modeling, recognition, and prediction
Probabilistic Reasoning Using Graphical Models
Current Services and Activities
Current Research
Students and Post-Docs Needed