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Alex Wong is a professor at Yale University in the Department of Computer Science. He holds a Ph.D., M.S., and B.S. from the University of California, Los Angeles. His research focuses on sensor fusion, unsupervised learning, 3D vision, robust vision under adverse conditions, and medical image analysis. Throughout his career, Wong has contributed significantly to the field through various publications, presenting his work at renowned conferences such as the Conference on Computer Vision and Pattern Recognition (CVPR), the International Conference on Robotics and Automation (ICRA), and the International Conference on Computer Vision (ICCV). He has received accolades including the Outstanding Student Paper Award at NeurIPS in 2011 and the Paper Award at ICRA for his work on robot vision in 2019. Wong's innovative research continues to advance the understanding of complex visual processing challenges in robotics and medical imaging.
Yale University • New Haven, CT
Professor in the Department of Computer Science.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.