Zezhi Tang
Lecturer Assistant Professor In Robotics And AI at UCL
United Kingdom
Summary
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Senior🎓
Top SchoolZezhi Tang is a Lecturer/Assistant Professor in Robotics and AI with 12 years of experience bridging academic research and industry productization. He specializes in reinforcement learning, autonomous vehicle systems, hydrogen vehicle technologies, and medical robotics including brain–computer interfaces, and actively welcomes exceptional visiting PhD students. Prior roles include postdoctoral research in machine learning for responsive manufacturing at The University of Sheffield and leading algorithm development for industrial manipulators as Director of Algorithms at Bright Dream Robotics. His background combines a PhD in Electrical and Electronic Engineering from The University of Manchester with hands-on algorithm engineering at companies like Aptiv, enabling a pragmatic approach to translating research into deployable systems. Known among colleagues for a curious, “a learning” mindset, he blends deep technical rigor with a focus on real-world control and process-optimization problems.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronic Engineering, Doctor of Philosophy - PhD, Electrical and Electronic Engineering at The University of Manchester合肥市第一中学
Github Skills (51)
rest-framework9
cpp8
python8
ocr8
restful-api7
parallel7
multilingual7
distributed-training7
industrial7
synthesis7
machine-learning7
onnxruntime7
rest7
reinforcement-learning7
api7
Programming languages (4)
Github contributions (5)
tangzhezhi/yjt
Jun 2015 - Jan 2016
Contributions:154 pushes, 1 branch in 7 months
tangzhezhi/springmvc
Jan 2014 - Jul 2014
Contributions:77 commits in 5 months
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