Projects per year
Personal profile
Biography
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):
Education/Academic qualification
Computer Science, PhD Degree, Fuzzy Qualitative Approach for resolving uncertainty in Human Motion Analysis, Universiti Malaya (University of Malaya)
2011 → 2015
Computer Science (Majoring in Artificial Intelligence), Bachelor Degree, Universiti Malaya (University of Malaya)
2007 → 2010
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
Projects
- 1 Active
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Cognitive Neural Network (CoNNet): A novel interpretable video surveillance framework for crime scene understanding based on attributes learning
Lim, C. H., Goh, K. M., Mei Kuan, L. & Tao, Z.
1/11/20 → 31/10/23
Project: Research
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Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework
Olayemi Alebiosu, D., Dharmaratne, A. & Hong Lim, C., 1 Mar 2023, In: Expert Systems with Applications. 213, Part C, 11 p., 119287.Research output: Contribution to journal › Article › Research › peer-review
3 Citations (Scopus) -
Selecting antibacterial aptamers against the BamA protein in Pseudomonas aeruginosa by incorporating genetic algorithm to optimise computational screening method
Selvam, R., Lim, I. H. Y., Lewis, J. C., Lim, C. H., Yap, M. K. K. & Tan, H. S., Dec 2023, In: Scientific Reports. 13, 1, 14 p., 7582.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Deepfake attribution: On the source identification of artificially generated images
Khoo, B., Phan, R. C. W. & Lim, C-H., May 2022, In: WIREs Data Mining and Knowledge Discovery. 12, 3, 21 p., e1438.Research output: Contribution to journal › Review Article › Research › peer-review
3 Citations (Scopus) -
Refined co-SVD recommender algorithm: data processing and performance metrics
Jia Ming, L., Tan, I. K. T. & Lim, C. H., 2022, Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods. De Marsico, M., Sanniti di Baja, G. & Fred, A. (eds.). Setúbal Portugal: Scitepress, p. 668-674 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
BaitRadar: a multi-model clickbait detection algorithm using deep learning
Gamage, B., Labib, A., Joomun, A., Lim, C. H. & Wong, K. S., 2021, 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings. Boulgouris, N. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2665-2669 5 p. (Proceedings of ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
4 Citations (Scopus)
Prizes
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ITEX 2021 - Gold Medal - “BAITRADAR - A clickbait detection deep learning architecture for Youtube”
Wong, Kok Sheik (Recipient) & Lim, Chern Hong (Recipient), 14 Dec 2021
Prize: Prize (including medals and awards)
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