Zheng Tang
Senior Deep Learning Engineer @ NVIDIA | PhD in Computer Vision (UW) | Senior Area Editor of IEEE T-CSVT
- Role
- Senior Deep Learning Engineer, Metropolis at NVIDIA
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Zheng Tang
Senior Deep Learning Engineer at NVIDIA · Former Applied Scientist at Amazon (’19–’21) · Ph.D. in Electrical & Computer Engineering from UW · Holder of 12 U.S. patents & author of 25 publications · Tech Lead of Metropolis Multi-Camera Tracking AI Workflow, integrated into the Mega Omniverse Blueprint and showcased in CES’25 & GTC’25 keynotes · Senior Area Editor for T-CSVT · Organizing Committee Lead for AI City Challenges at CVPR · Led winning team of the 2nd AI City Challenge at CVPR’18 · Finalist for two Best Student Paper Awards at ICPR’16
Experience
Senior Deep Learning Engineer, Metropolis
Apr 2024 — Present · Redmond, WA, US
Led the development of a real-time location system (RTLS) for spatial AI agents, leveraging Sparse4D 3D perception and GNN-based tracking• Integrated RTLS in Mega Omniverse Blueprint, with digital twin demos (warehouse & Foxconn factory) showcased at CES’25 & GTC’25 keynotes• Proposed MCBLT 3D perception framework with NVIDIA Research, achieving state-of-the-art on both synthetic and real-world benchmarks• Led organization of the AI City Challenges at CVPR & ICCV, releasing Omniverse-generated 3D perception data in NVIDIA’s Hugging Face
Education
University of Washington
Doctor of Philosophy (Ph.D.), Electrical & Computer Engineering
Skills
- Signal Processing
- Mathematical Modeling
- C
- Computer Vision
- C++
- Python
- Latex
- Management
- Music Information Retrieval
- Audio Processing
- Opencv
- Machine Learning
- Java
- Matlab
- Telecommunications Engineering
- Image Processing
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