Bio

CV

• [Cloud]
• [PDF] (outdated most times, please refer to Cloud version whenever accessible)

Education

National University of Singapore

• Ph.D. in Computer Science, Aug. 2023~
  • Coursework & research foci: deep generative models, decision-making.
  • NUS Research Scholarship

Harbin Institute of Technology, Shenzhen

• B.Eng. in Automation, Sep. 2017 ~ Jun. 2021
  • CGPA: 3.8/4.0 , 90.1/100 ; Final-year: 93.1/100
  • Outstanding Bachelor’s Thesis (Top 2%)
  • Undergraduate Academic Merit Scholarship
  • Coursework: a detailed list here

Guangdong Experimental High School

• General High School Diploma, science stream, Sep. 2014 ~ Jun. 2017

Experience

• Graduate Researcher,* Collaborative, Learning, and Adaptive Robots (CLeAR) Lab* @ National University of Singapore, Aug. 2023 ~ Jun. 2024
• Research Assistant, * Robotics Perception & Intelligence Lab* @ Southern University of Science and Technology, Aug. 2021 ~ Jul. 2022
• Undergraduate Research Assistant, MAS Lab @ Harbin Institute of Technology, Shenzhen, Oct. 2019 ~ Jun. 2021
• Software Development Intern @ PengBo Technology (Shenzhen) Co. Ltd., Mar. 2021 ~ May 2021
• High School Intern, Robotics Laboratory (now Robotics, Automation, PerceptIon and Decision Laboratory) @ Sun Yat-sen University, Nov. 2015 ~ May 2016

Publications

* indicates equal contribution.

Selected Awards, Honors & Fellowships

• NUS Research Scholarship, 2023~
• Outstanding Bachelor’s Thesis (top 4%), 2021
• Undergraduate Academic Merit Scholarship, 2018 ~ 2020
• MCM Honorable Mention, 2020

Selected Academic Activities

Conference Reviewing

• IEEE International Conference on Robotics and Automation (ICRA’22, ‘23)
• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’22)
• IEEE International Conference on Robotics and Biomimetics (ROBIO’20/21)

Journal Reviewing

• IEEE Robotics and Automation Letters (RA-L)

Selected Projects

Details are provided in the Projects page. (Team members are listed alphabetically by surnames.)

• Collaborative Trolley Transportation
  • Advisors: Prof. Max Q.-H. Meng (Fellow, IEEE), SUSTech; Prof. Jiankun Wang, SUSTech
  • Team: Xuheng Gao, Hao Luan, Bingyi Xia, Anxing Xiao, Peijia Xie, Ziqi Zhao
• Robotic Autonomous Trolley Collection at Airports
  • Advisors: Prof. Max Q.-H. Meng (Fellow, IEEE), SUSTech; Prof. Jiankun Wang, SUSTech
  • Team: Yue Hong, Hao Luan, Anxing Xiao, Jieting Zhao, Ziqi Zhao
• Distributed Consensus of Constrained MAS under Directed Graphs
  • Advisor: Prof. Jie Mei (Google Scholar) , HIT Shenzhen

Computer Literacy

• Programming: C/C++, Julia, Pascal, Python
• Tools: Git, $\LaTeX$, Markdown, MATLAB/Simulink, Wolfram Mathematica, ROS, VIM

Extracurricular Activities

• Athletics: Centre Back(CB)/Fullback(LB/RB), HITSZ Student Soccer Team, 2017 ~ 2021
• Volunteer services

Selected Relevant Coursework

Control

• Automatic Control Theory I, II
  • Classical control: transfer function, (asymptotic) stability, Routh-Hurwitz criterion, Nyquist criterion, root locus method, frequency correction, pole placement, etc.
  • Modern control: state-space model, controllability & observability, canonical decomposition, state/output feedback, Lyapunov’s methods, etc.
• Automatic Control Practice I, II
  • Controller design: input analysis, sensitivity, anti-windup design, servo systems, regulating systems, multi-loop systems, etc.
• Process Control System
• Nonlinear and Adaptive Control ^† (graduate level)
  • ^†Audited: lectures, assignments, discussions.

Robotics

• Introduction to Robotics
  • Rigid body motion: rotational motion, rigid motion, velocity of rigid bodies, wrenches & reciprocal screws
  • Kinematics: forward kinematics (product of exponentials, twists), inverse kinematics (P-K subproblems), manipulator Jocobians
  • Dynamics & control: Lagrange’s equations, open-chain manipulators’ dynamics, Lyapunov theory, position control & trajectory tracking
• Digital Image Processing
  • Enhancement & Restoration: point processing, filtering in spatial and frequency domain, noise models, etc.
  • Morphological: erosion & dilation, opening & closing, other basic algorithms
  • Image segmentation: line & edge detection (Canny, Hough), thresholding, color models, smoothing & sharpening, color segmentation
  • Representation & description: chain codes, signatures, skeletons, descriptors
  • Object recognition: classifiers, cluster analysis, etc.
• Design and Practice of Robotic System
• Theoretical Mechanics

Mathematics

• Mathematical Analysis III
• Advanced Mathematics (Calculus) I, II
• Linear Algebra and Analytical Geometry
• Probability Theory and Mathematical Statistics
• Functions of Complex Variables and Integral Transforms
• Mathematical Programming (Optimization Fundamentals, Operations Research)
  • Linear programming, integer programming: simplex, the two-phase method, duality, etc.
  • Unconstrained nonlinear optimization: convexity, gradient descend, conjugate gradient descend (PRP, FR, DM), Newton (QP), DFP
  • Constrained nonlinear optimization: K-T conditions, SUMT, multiplier method (Hestens, Powell)
  • Multi-objective optimization: goal programming
  • Dynamic programming

Computer Science

• Introduction to Machine Learning
• Data Structure and Algorithm
• Advanced Computer Language Programming
• C Programming Language

Electronics

• Electric Circuit I, II
• Fundamentals of Analog Electronics
• Digital Electronic Technology Foundation

Others

• Signal Analysis and Processing (Signal and System)
• System Modeling and Simulation
• Fundamentals of Machine Design
• Introduction to Cloud Computing
• Technology and Application of Big Data