Dr. Zhengtao Ding

Professor

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Biography

Zhengtao Ding graduated with a Bachelor of Engineering from Tsinghua University, Beijing, China, and completed his MSc and PhD in control systems at the University of Manchester. He has extensive experience in control engineering, having served as a lecturer at the School of Engineering, University of Manchester, since September 2003, and previously at Ngee Ann Polytechnic, Singapore. His research interests lie primarily in nonlinear adaptive control theory, distributed optimization, and control of network-connected dynamic systems. He has conducted significant research on industrial applications, including micro grids and mobile robots, contributing over 300 publications to the field, including a notable book titled “Nonlinear Adaptive Control Systems,” published by the IET in 2013. He is a fellow at the Alan Turing Institute and holds editorial roles for various reputable journals, including IEEE Transactions on Automatic Control. He encourages potential PhD students to reach out for discussions related to his research areas, which include adaptive control systems, distributed machine learning, and robotics.

Research Interests

Experience

Professor

2004-09-01 — Present

University of Manchester • Manchester, UK

Serving as a professor in control systems and conducting research in various advanced topics.

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.