Qiang Ji

Qiang Ji is a Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI), directing the Intelligent Systems Laboratory (ISL). He holds IEEE and IAPR Fellowships. Dr. Ji's research focuses on AI, computer vision, Bayesian methods, and robotics, with contributions to causal discovery, 3D reconstruction, and Tibetan multi-dialect speech recognition. He previously served as an NSF program director managing machine learning and computer vision initiatives. His academic journey includes positions at the University of Nevada, Reno, and visiting roles at institutions like Carnegie Mellon's Robotics Institute.

Education: PhD in Electrical Engineering from the University of Washington. Research interests span machine learning, probabilistic graphical models, and human-computer interaction. Notable contributions include Bayesian adversarial learning, knowledge-augmented deep learning, and physics-aware human motion prediction. His work bridges theoretical advancements with applied systems like gaze estimation and facial action unit detection.

Awards: IEEE Fellow (202?), IAPR Fellow (202?). Professional roles include conference committee chairs and editorial board memberships. Key research themes include uncertainty quantification, causal inference, and cross-domain learning challenges.