Chang Shu

Chang Shu

MS student in Electrical and Computer Engineering

KAUST

Biography

Chang Shu is a MS 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 Dr. Shinkyu Park. Currently, he is working on solving the combinatorial optimzation problem of robot manipulation tasks with graph-based reinforcement learning.

Prior to KAUST, he obtained a joint BEng (with Honors of The First Class) at the University of Glasgow and also a joint BEng at the University of Electronic Science and Technology of China.

Download my CV .

Interests
  • Applications of Machine Learning in Robotics
  • Control and Optimization Theory
  • Algorithm Design for Robot Autonomy
Education
  • M.S. in ECE, 2021-present

    King Abdullah University of Science and Technology

  • Joint B.Eng. in EEE, 2017-2021

    University of Glasgow

  • Joint B.Eng. in EEE, 2017-2021

    University of Electronic Science and Technology of China

Awards

Outstanding Graduate Award
China National Scholarship
Meritorious Winner Award, Interdisciplinary Contest in Modeling
Excellent Student Scholarships
Glasgow College Academic Scholarship

Experience

 
 
 
 
 
KAUST
Teaching Assistant, Linear Control Systems
KAUST
Aug 2022 – Present
 
 
 
 
 
Penn State University
Research Assistant, Knowledge Graph for Interpreting Models
Penn State University
Apr 2020 – Aug 2020
 
 
 
 
 
GEC Academy
Teaching Assistant, Digital Image Processing
GEC Academy
Oct 2019 – Nov 2019
 
 
 
 
 
University of Glasgow
Research Assistant, Human Actvity Recognition with Radar
University of Glasgow
Aug 2019 – May 2021

Recent Publications

(2021). Complex field-based fusion network for human activities classification with radar. In IET International Radar Conference (IET IRC 2020).

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