Chang Shu
Chang Shu

PhD Student in Electrical and Computer Engineering

About Me

Chang Shu is a PhD student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST). He is a member of the Distributed Systems and Autonomy Lab, supervised by Prof. Shinkyu Park. Currently, he is working on robot manipulation tasks with graph-based reinforcement learning.

Prior to joining KAUST, he obtained a joint BEng in Electronics & Electrical Engineering (with Honors of The First Class) at both University of Glasgow (UoG) and University of Electronic Science and Technology of China (UESTC).

Interests
  • Robotic Manipulation
  • Task and Motion Planning
  • Reinforcement Learning
Education
  • PhD Student in ECE

    KAUST

  • Joint BEng in EEE

    UoG

  • Joint BEng in EEE

    UESTC

Recent Publications
(2020). Complex field-based fusion network for human activities classification with radar. IET International Radar Conference (IET IRC) 2020.
Selected Projects
Experiences
Honors & Awards
  • [2023] CEMSE Dean’s List Award, KAUST
  • [2021] Outstanding Graduate Award, Sichuan, China
  • [2020] National Scholarship, China
  • [2019] Meritorious Winner, Mathematical Contest in Modeling