Fangyi Zhang
Lecturer (Assistant Professor) at IEEE VTS WA Chapter
Australia
Summary
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Senior🎓
Top SchoolFangyi Zhang is a robotics and AI researcher-practitioner with eight years of experience bridging academic excellence and industry impact, now serving as a Lecturer at Curtin University and Visiting Fellow at QUT. She has authored 20+ peer-reviewed papers across top robotics and ML venues (IJRR, RA-L, ICRA, NeurIPS, ICLR), holds an h-index of 10 with 800+ citations including a paper cited 350+ times, and has won multiple best-paper distinctions. Her work spans robot learning, tactile sensing, sim-to-real policy transfer, and robotic manipulation, and she co-founded a robotic vision group at Alibaba DAMO Academy where representation-learning work reached NeurIPS and ICLR. Fangyi combines hands-on industry R&D in mechatronics and semiconductor-related manufacturing with academic leadership—editing for RA-L, organizing ICRA workshops, and chairing IROS sessions—making her adept at translating cutting-edge research into practical robotic systems. An uncommon strength is her track record of moving simulation-trained policies to real robots in low-cost ways, demonstrating both methodological rigor and deployment-minded engineering.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Robotics, Vision and Artificial Intelligence, Doctor of Philosophy (PhD), Robotics, Vision and Artificial Intelligence at QUT (Queensland University of Technology)Bachelor of Engineering (BEng), Electrical and Electronics Engineering, Bachelor of Engineering (BEng), Electrical and Electronics Engineering at East China Jiaotong University
English, ChineseProgramming languages (1)
Github contributions (2)
Fanleyrobot/fangyi-academic
Jun 2018 - Dec 2021
Contributions:20 pushes, 1 branch in 3 years 6 months
Fanleyrobot/ADT
May 2018 - Apr 2019
The datasets and code for adversarial discriminative sim-to-real transfer of visuo-motor policies.
Contributions:2 commits, 4 pushes in 10 months
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