Shengzhi Wang

PhD Candidate

Hong Kong, China
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Summary

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Senior
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Top School
Shengzhi Wang is a PhD candidate and robotics researcher with eight years of experience bridging academic research and applied development in humanoid and legged robot control. He has contributed to quadruped teleoperation and online learning adaptations for humanoid gait robustness at institutions including The Chinese University of Hong Kong and the German Aerospace Center (DLR), and is an exchange PhD student at ETH Zürich focused on teleoperation. Proficient in Matlab, ROS and C++, Shengzhi blends simulation, control theory and practical system integration to improve robustness to model inaccuracies. Fluent in German and experienced across European and Hong Kong research labs, he brings a multicultural perspective and hands-on prototyping skills to complex robotics problems.
code8 years of coding experience
job2 years of employment as a software developer
bookThe Chinese University of Hong Kong (CUHK)
bookMaster of Science - MS, Automatics and Robotics, Passed with distinction, Master of Science - MS, Automatics and Robotics, Passed with distinction at Technische Universität München
bookBachelor of Engineering - BE, Elektrotechnik und Informationstechnik, Bachelor of Engineering - BE, Elektrotechnik und Informationstechnik at Universität Duisburg-Essen
bookExchange PhD Student, Teleoperation, Exchange PhD Student, Teleoperation at ETH Zürich
bookBachelor of Engineering - BE, Electonic and information technology, Bachelor of Engineering - BE, Electonic and information technology at 中国矿业大学
languagesChinese, German, English, Chinese, French
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Github Skills (8)

nlp4
datasets4
deep-learning3
machine-learning3
natural-language-processing2
recommender2
dialog2
java1

Programming languages (1)

Python

Github contributions (5)

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Contributions:8 commits, 2 PRs, 3 pushes in 16 days
Contributions:3 commits, 14 pushes, 1 branch in 5 months
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