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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 IAPR and a senior member of the IEEE.
Prof. Ji's research interests are in
computer vision, probabilistic graphical models, pattern recognition,
information fusion for situation awareness and decision
making under uncertainty, human computer interaction, and robotics.
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Awards and Honors
Xiaoyang Wang won 2012 ICPR
Piero Zamperoni Best Student Paper Award
, November, 2012(ICPR Announcement)
IEEE Trans. on PAMI Spotlight
Paper, March, 2010.
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
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Teaching
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Research Interests
Computer vision, Probabilistic Graphical Models, Machine Learning, Active Information Fusion, and Affective Computing. For details on current research projects, click here
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Current Services and Activities
Associate editor, IEEE Transactions on Systems, Man, and Cybernetics Parts A and B
Associate editor, IEEE Transactions on Intelligent Transportation Systems
Editorial board, Image and Vision Computing journal
Associate Editor, IEEE Transactions on Affective Computing
More services and activities ...
Human activity modeling and recognition
Real-Time
non-invasive human state modeling, recognition, and prediction
Probabilistic Reasoning Using Graphical Models
Body Pose Estimation and Tracking
Image Segmenation and Medical Imaging
Active Information Fusion for Decision Making Under Uncertainty
Brain Computer
Interface (BCI) Research
Automatic Driver Facial Behavior Tracking and Recognition
Current Research
Students and Post-Docs Needed
