Biography

I have been a Ph.D. candidate at the Medical Robotics Lab, Institute of Automation, Chinese Academy of Sciences since Fall 2021. I am honored to be supervised by Prof. Zengguang Hou and Prof. Xiaohu Zhou. My research focuses on human manipulation modeling and robotic skill learning. I study learning-based approaches to characterize brain–muscle modulation during human manipulation and use these insights to build robot-learning algorithms with improved success rates, generalization, and dexterity.

Before my Ph.D., I received my B.S. degree from Tongji University (2017–2021), graduating with the university’s highest undergraduate honor, Academic Star. At the School of Electronic and Information Engineering, I worked with Prof. Zhuping Wang and Mr. Lingzhe Zhao on monocular depth estimation and visual odometry. I have also collaborated on cancer subtype classification and prognosis analysis using bioinformatics.

I expect to complete my Ph.D. in June 2026 and am currently seeking postdoctoral opportunities in cognitive robotics, human–robot interaction, and brain–computer interfaces.

Grants

• IEEE Computational Intelligence Society Graduate Student Research Grant (2025)

Awards

• IEEE CIS Graduate Student Research Grant (2025)
• Runner–Up Prize, IEEE CIS FLAME Technical Challenge (2024)
• First Prize, 6th Shenhao Cup China Postgraduate Robot Innovation and Design Competition — top 10 of 1,200 (2024)
• Direct Ph.D. Pilot Program, Institute of Automation, Chinese Academy of Sciences — top 10 (2023)
• Best Paper Award, IEEE International Conference on Real–time Computing and Robotics (2022)
• Shanghai Outstanding Graduate — top 2% (2021)
• Academic Star of Tongji University — top 10 university–wide (2020)

Students and Mentoring

• Aoqun Jin, Hubei Normal University (Mentee, Current)
• Xinyi Fu, Chongqing University (Mentee, Current)
• Lingyun Li, University of Chinese Academy of Sciences (Mentee, Current)
• Sicheng Wang, North China University of Technology (Mentee, Current)
• Zheng Lei, Shaanxi University of Science and Technology (Mentee, Current)