Chin Poo Lee

Dr. Chin Poo LEE joined the School of Computer Science at the University of Nottingham Ningbo China as an Assistant Professor in 2025. She began her academic career in 2006 as a Lecturer at the Faculty of Information Science and Technology, Multimedia University, where she was subsequently promoted to Associate Professor in 2023. In 2024, she joined the School of AI and Advanced Computing at Xi’an Jiaotong-Liverpool University as an Associate Professor.

Her research and teaching interests span Artificial Intelligence, Computer Vision, Natural Language Processing, and Machine Learning. Dr. Lee has authored over 100 peer-reviewed publications in reputable journals and international conference proceedings. She has successfully supervised more than 10 postdoctoral and postgraduate students and has led numerous research projects funded at the international, national, and industry levels.

Dr. Lee is actively seeking dedicated and motivated Ph.D. candidates and is enthusiastically open to research collaborations. If you are interested in pursuing a Master/Ph.D. study under her supervision or engaging in collaborative research, please reach out via email at Chin-Poo.Lee@nottingham.edu.cn 

Google Scholar: https://scholar.google.com/citations?hl=en&user=-ANzf1gAAAAJ

Dr. Chin Poo LEE's research interests span several key areas within the field of computer science and technology with a focus on Artificial Intelligence. Her primary research interests include computer vision, natural language processing, and deep learning. These interests are not only theoretical but are also applied in a wide range of research and development projects. Dr. Lee has been actively involved in research grants at various levels, including international, national (government-funded), industrial, and university projects.

• Supervision:
  • Completed supervision of more than 10 postdoctoral and postgraduate students.
  • Completed supervision of more than 200 undergraduate final year projects.

• Research and Development Projects:
  • International: Participated in projects related to edge computing, autonomous vehicle delivery, LLM in the legal domain.
  • National: Involved in projects related to Text-to-Image synthesis, few-shot learning, gait recognition.
  • Industry: Involved in projects related to voice authentication system, question-answering system, conversational agents for education.
  • University: Participated in projects related to computer vision and natural language processing.

• Project and Consultancy: Served as a trainer in various government and industrial workshops related to data analytics, Python, outcome-based education, and more.

• Intellectual Property: Has secured many intellectual property rights related to computer vision and natural language processing.

• Awards and honours

  • IEEE Senior Member
  • Gold, silver, and bronze medals in various international invention and innovation exhibitions and showcases from 2016 - 2023
  • Third Place, Best Poster Award, National Postgraduate Poster Competition (NP2C 2019)
  • Champion, MMU-Infineon Research Poster Competition 2023
  • Gold medals in iNVENTX Invention Exhibition in 2023
  • Editorial board members of high tiered journals
  • Judges, Infineon Innovative Competitions
  • Judges, Business and Entrepreneurship Competitions

• Undergraduate Modules: Natural Language Processing, Machine Learning, Computer Vision, Design and Analysis of Algorithms

• Postgraduate Modules: Deep Learning, Ethics, Privacy, and AI in Society