Lubing Zhou
Principal Research Scientist, Perception at Venti Technologies
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolLubing Zhou is a principal research scientist specializing in perception for autonomous systems, with over a decade of hands-on experience in computer vision, deep learning, robotics and vehicle autonomy. He has led perception efforts across industry leaders including Motional and nuTonomy/Aptiv and now drives perception research at Venti Technologies from Singapore. His background spans both research and productization—developing traffic light/sign recognition, object detection, and night-driving systems that bridge lab algorithms to deployed vehicles and robots. He holds a PhD in computer vision and robotics from Nanyang Technological University and a strong engineering foundation from Beihang University, enabling him to solve both algorithmic and systems-level challenges. Colleagues value his ability to translate complex perception problems into robust, production-ready solutions while mentoring teams across research and engineering.
4 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering and Automation, 3.5/4, Bachelor’s Degree, Mechanical Engineering and Automation, 3.5/4 at Beihang UniversityDoctor of Philosophy (Ph.D.), Computer Vision, Robotics, 4.4/5, Doctor of Philosophy (Ph.D.), Computer Vision, Robotics, 4.4/5 at Nanyang Technological University
Chinese, English
Github Skills (3)
devkit10
machine-learning9
deep-learning9
Programming languages (1)
Github contributions (1)
nutonomy/nuscenes-devkit
Aug 2021 - Oct 2021
The devkit of the nuScenes dataset.
Contributions:61 reviews, 6 commits, 7 PRs in 2 months
deep-learningdatasetmachine-learningnuscenesdevkit
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