Chin Poo Lee

Associate Professor

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20102024

Research activity per year

Personal profile

Personal profile

Dr. Lee Chin Poo is an Associate Professor at the School of AI and Advanced Computing, Xi'an Jiaotong-Liverpool University. She began her career as a lecturer at the Faculty of Information Science and Technology at Multimedia University in 2006 and later ascended to the position of Associate Professor in 2023. She served as the Deputy Director of the Office of Academic Development for Excellence in Programmes and Teaching (ADEPT) at Multimedia University, where she spearheaded initiatives to enhance program quality and streamline curriculum design and review processes. In her role as the Consultant and Trainer of Outcome-Based Education, Dr. Lee played a pivotal role in promoting educational excellence at the university. Dr. Lee has led a significant number of research grants at the international, national, and industry levels. She has published more than 100 research papers in journals and conference proceedings. Dr. Lee has successfully guided undergraduate and postgraduate students to completion of their studies.

 

Research interests

Dr. Lee Chin Poo'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.
 
 

Experience

  • Working Experience:
    • 2014 - : Associate Professor at Xi'an Jiaotong-Liverpool University
    • 2023 - 2024: Associate Professor at Multimedia University
    • 2018 - 2023: Senior Lecturer at Multimedia University
    • 2017 - 2020: Deputy Director of Academic Development for Excellence in Programmes and Teaching at Multimedia University
    • 2006 - 2017: Lecturer at Multimedia University

 

  • 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.

 

Teaching

  • Undergraduate Courses: Taught a range of courses in the Bachelor of Computer Science (Hons.) Artificial Intelligence program, such as Natural Language Processing, Machine Learning, Expert Systems, Computer Vision, etc.
  • Postgraduate Course: Taught Deep Learning in the Master of Science (Information Technology) program.
  • Supervision:
    • Completed supervision of more than 10 postgraduate research projects.
    • Ongoing supervision of postdoctoral and postgraduate researchers.

 

Awards and honours

  • 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
  • IEEE Senior Member

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 15 - Life on Land
  • SDG 16 - Peace, Justice and Strong Institutions
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Bachelor, Bachelor of Computer Science (Hons.) Software Engineering

Master, MSc. in Information Technology

PhD, Ph.D. (Information Technology)

Person Types

  • Staff

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