Presenter:  Zheng Tang | Senior Deep Learning Engineer, Metropolis | NVIDIA
 

Speaker Biography
Dr. Zheng (Thomas) Tang is a Senior Deep Learning Engineer on the Metropolis team at NVIDIA (2021–present), where he leads the Multi-Camera Tracking AI Workflow—featured in NVIDIA CEO Jensen Huang’s CES’25 and GTC’25 keynotes as part of the Mega Omniverse Blueprint. Prior to this, he was an Applied Scientist on the Amazon One team at Amazon (2019–2021). He received his Ph.D. in Electrical & Computer Engineering from the University of Washington in 2019. Dr. Tang’s research spans intelligent transportation systems, multi-/single-camera object tracking, re-identification, pose estimation, action recognition, camera calibration, synthetic data generation, biometric identification, and other computer vision and machine learning topics. He holds 9 U.S. patents and has authored 25 peer-reviewed publications in leading journals and conferences. He currently serves as a Senior Area Editor for the IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) and has been a core member of the AI City Challenge Organizing Committee (2020–present). He also served as Area Chair for ACM MM 2024 and MLSP 2021, and is a regular reviewer for venues such as IJCV, T-PAMI, T-IP, T-MM, T-ITS, CVPR, ICCV, and NeurIPS. In 2021, he received the T-CSVT Best Associate Editor Award. His contributions have been recognized through multiple honors, including leading the winning team in Tracks 1 and 3 of the 2018 AI City Challenge and being a finalist for two Best Student Paper Awards at ICPR 2016.

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Speaker Biography

Speaker Biography

Speaker Biography

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