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Personal profile


Chern Hong Lim is a lecturer attached to the School of Information Technology at Monash University Malaysia. He received his Ph.D. and B.Sc. (Hons) degrees in computer science, majoring in Artificial Intelligence from University of Malaya, in 2015 and 2010 respectively. Previously, he worked as a senior lecturer in Tunku Abdul Rahman University College from 2016 to 2018, and a senior associate researcher in Telekom Research & Development Sdn Bhd from 2014 to 2015. He is an active member and a committee in IEEE Computational Intelligence Society (CIS) Malaysia Chapter. His research interests include artificial intelligence, machine learning, computer vision, image processing, and fuzzy logic; with focus on image or video content analysis and human motion inference.

He previously held appointments in the University of Portsmouth, Portsmouth, U.K., as a visiting researcher working in computer vision domain. He had several papers published in well-known journals such as IEEE Transaction, Elservier, and Springer. Nonetheless, he had presented in a few notable international conferences such as IEEE FUZZ, ICASSP, WCCI, APSIPA ASC, ICIRA, KES, and IWACII. He served as an organizing committee of ICIRA2020, APSIPA 2017, MIWAI 2017, and ACPR 2015. He has also served as peer reviewer for numerous journals and conferences. Apart from that, he was the judge for AI and Big Data Hackathon, Malaysia FIRST Lego League and Innovate Malaysia Design Competition.

Research interests

My primary research is focusing on applying Artificial Intelligence algorithms and Fuzzy Logic in solving Computer Vision problems. I am currently engaged in the research related to Explanable AI, Cognitive Video Analysis, and medical imaging.

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

Education/Academic qualification

Computer Science, PhD Degree, Fuzzy Qualitative Approach for resolving uncertainty in Human Motion Analysis, Universiti Malaya (University of Malaya)


Computer Science (Majoring in Artificial Intelligence), Bachelor Degree, Universiti Malaya (University of Malaya)


Research area keywords

  • Fuzzy computation
  • Knowledge representation and reasoning
  • Computer vision
  • Pattern recognition
  • Image processing

Collaborations and top research areas from the last five years

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