

Principle Investigator: Dianxun XIAO 中文简介 (In Chinese)
email: dianxunxiao@hkust-gz.edu.cn
Dr. Dianxun XIAO is an Assistant Professor in Sustainable Energy and Environment Thrust at The Hong Kong University of Science and Technology (Guangzhou), and affiliated with The Hong Kong University of Science and Technology, HKSAR. He received the B. Eng and M. Eng degrees in Electrical Engineering from the Harbin Institute of Technology, Harbin, China, in 2016 and 2018. He was awarded the Ph. D. degree in Electrical & Computer Engineering from McMaster University, Hamilton, Canada, in 2021. Afterward, he continued working as a Postdoctoral Research Fellow before joining HKUST(GZ) in April 2022.
He focuses on transportation electrification, renewable energy systems, and robotic servos. He serves as the Associate Editor for IEEE Transactions on Transportation Electrification (CAS/JCR Q1 Journal), a Member of the Special Committee on Electric Vehicles in China Electrotechnical Society, Topic Chair for ECCE 2023, and Session Chairs for several international conferences. He leads funds from NSFC, local government, industries, etc. He received the Teaching Award Nomination and was recognized as the World’s Top 2% Scientists in 2023 & 2024.

PhD Students

Zifeng Chen
PhD Candidate, Fall 2022
Newcastle University
Research on switched reluctance motor control

Xinghao Wang
PhD Candidate, Fall 2022
Northeastern University
Research on parameter estimation of permanent magnet synchronous motors

Hao Jing
PhD Candidate, Fall 2022
Harbin Institute of Technology
Research on AI techniques in electrical machines

Jiani Luo
PhD Candidate, Fall 2023
University of Michigan-Ann Arbor
Research on power electronics in battery management systems


Huayu Ji
PhD Candidate, Fall 2023
South China University of Technology
Research on small-capacitor electrical machine modeling and control

Xi Luo
PhD Candidate, Fall 2023
Guangdong University of Technology
Research on modeling and grid-connection control of wind power systems

Xijian Lin
PhD Student, Spring 2025
Guangdong University of Technology
Research on current and torque control of switched reluctance motors

Shuo Zhang
PhD Student, Fall 2024
HKUST (Guangzhou)
Research on state estimation in battery management systems


Dehui Luo
PhD Student, Fall 2024
HKUST (Guangzhou)
Research on AI techniques in electrical machines

Zehua Li
PhD Student, Fall 2025
Xi’an Jiaotong University
Research on power converters for eVTOL applications

Jingqing Liang
PhD Student, Fall 2025
Tsinghua University
Research on prediction control of permanent magnet synchronous motors

MPhil & UG Students

Wanting Zhao
MPhil Student, Fall 2024
Jilin University
Research on DC-link small capacitance motor drives

Tengdi Gui
MPhil Student, Fall 2024
Harbin Institute of Technology
Research on multilevel power converters

Chuyan Xiao
MPhil Student, Fall 2024
Guangzhou University
Research on battery management systems

Yingzi Li
MPhil Student, Fall 2024
South China University of Technology
Research on power converters for reluctance motor drives


Peida Chen
MPhil Alumni, 2023-2025
Guangdong University of Technology
Research on precise control for robotic machines
First Position: National Key Lab of Heavy Robotics (Midea), Special Offer

Mengqiang Liu
MPhil Alumni, 2023-2025
Chongqing University
Research on sensorless motor control
(PUB: 1 IEEE Trans-ongoing, 1 SLED)
First Position: CETC Chips Technology Inc.

Haoda Xi
MPhil Alumni, 2023-2025
Hunan University
Research on battery management systems
(PUB: 1 IEEE TPE, 1 JES; Best RBM Project)
First Position: PhD at The Australian National University (Selected as University Research Merit Full Scholarship Awardee)

Dehui Luo
MPhil Alumni, 2022-2024
University of British Columbia
Research on sensorless motor control
(PUB: 1 IEEE TIE, 1 IEEE TTE)
First Position: PhD at HKUST(GZ)


Shuo Zhang
MPhil Alumni, 2022-2024
Harbin University of Science and Technology
Research on battery management systems
(PUB: 1 IEEE TTE, 1 JES-ongoing, 1 IECON)
First Position: PhD at HKUST(GZ)

Zhirui Miao
UG Student, Fall 2024
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Research on AI for Battery Management Systems