ESC

Curriculum Vitae

Work Experience

Education

  • Ph.D. in Pattern Recognition and Intelligent Systems, Institute of Automation, Chinese Academy of Sciences, 2021–2026
    • Supervisor: Prof. Zengguang Hou
    • Co-supervisor: Prof. Xiaohu Zhou
    • Dissertation: Multimodal Representation of Human Manipulation Skills and Brain-Inspired Human–Robot Skill Transfer
  • Visiting Student, Victoria University of Wellington, November 2025
  • B.S. in Automation, School of Electronic and Information Engineering, Tongji University, 2021

Research Profile

  • Research interests: brain–computer interfaces, brain-inspired intelligence, robot learning, and human–robot skill transfer
  • 19 first/co-first-author papers published or accepted: eight journal papers and eleven international conference papers, including six IEEE Transactions papers
  • Five invention-patent applications as lead drafter, with three granted

Research Grants & Fellowships

  • IEEE CIS Graduate Student Research Grant, “Brain-inspired Computational Intelligence Algorithm for Human Learning Modeling,” USD 3,996, 2025
  • IEEE CIS Travel Grant, “Cross-modal Motor Representation Learning,” USD 600, 2024
  • Direct Ph.D. Pilot Program, “Brain-inspired Robot Skill Learning,” RMB 50,000 per year, 2023–2026

Academic Service

  • Journal reviewer: Scientific Reports; Pattern Analysis and Applications
  • Conference reviewer: AAAI, ICRA, IJCNN, ICONIP, ICRAM, and ROBIO
  • Chair, Direct Ph.D. Pilot Program, 2024–2025

Selected Talks & Presentations

  • “Brain-inspired Robot Skill Learning,” INNS Doctoral Consortium, 2024
  • “Cross-modal Motor Representation Learning,” IEEE World Congress on Computational Intelligence, 2024
  • “Brain-inspired Robot Skill Learning: From the View of Human Motor Learning,” Embodied AI and Robotics Session, 4th Graduate Academic Week, 2024
  • “A DNN-based Learning Framework for Continuous Movements Segmentation,” ICONIP, 2023
  • “A Novel Two-stream Model for Human Motor Characteristics Learning,” IEEE ROBIO, 2022
  • “Single Camera Based Gait Analysis Methods with Scaled and Image Coordinate Key-points,” IEEE RCAR, 2022