Dr Lim Chern Hong
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, WCCI, APSIPA ASC, KES, and IWACII. He served as an organizing committee of 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.
- Doctor of Philosophy in Computer Science (Artificial Intelligence), Universiti Malaya, 2015
- Degree in Computer Science (Artificial Intelligence), Universiti Malaya, 2010
Member of International Professional Bodies
- Institute of Electrical and Electronics Engineers (IEEE), Member
Member of National Professional Bodies
- IEEE Computational Intelligence Society Membership, Secretary for Malaysia Chapter
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 data analytics, medical imaging, industry 4.0 and IoT applications.
Title: Machine Intelligence Framework for Video Surveillance System
This project aims to generate a high level multimodal framework with integrated intelligent algorithms or modelling techniques that take into consideration the important attributes in a video when performing the video understanding and analysis tasks. Such framework is believe to be able to contribute to the surveillance system with more promising and more accurate output
- A High-level Head Pose Invariant Spatio-Temporal Representation for Subtle Expression Extraction and Analysis Framework), Lim Chern Hong, 2016 - 2018, Fundamental Research Grant Scheme (FRGS), Ministry of Higher Education (MOHE), Malaysia
- PECIPTA 2017 (Silver) – PECIPTA, 2017
- PECIPTA 2017 (Bronze) – PECIPTA, 2017
- Honorary Secretary of IEEE Computational Intelligence Society Malaysia Chapter (2018)
- Honorary Treasurer of IEEE Computational Intelligence Society Malaysia Chapter (2017)
- Local Arrangement Chair of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2017)
- Committee of the 11th Multi-disciplinary International Workshop on Artificial Intelligence (MIWAI 2017)
- Local Arrangement Chair of the 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015)
Lim, C. H., & Chan, C. S. (2016). Fuzzy qualitative human model for viewpoint identification. Neural Computing and Applications, 1-12.
Lim, C. H., Vats, E., & Chan, C. S. (2015). Fuzzy human motion analysis: A review. Pattern Recognition, 48(5), 1773-1796.
Hoo, W. L., Lim, C. H., & Chan, C. S. (2015). Keybook: Unbias object recognition using keywords. Expert Systems with Applications, 42(8), 3991-3999.
Lim, C. H., Risnumawan, A., & Chan, C. S. (2014). A Scene Image is Nonmutually Exclusive—A Fuzzy Qualitative Scene Understanding. Fuzzy Systems, IEEE Transactions on, 22(6), 1541-1556.
Lim, J. H., Teh, E. Y., Geh, M. H., & Lim, C. H. (2017). Automated Classroom Monitoring With Connected Visioning System. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Lim, C. H. & Goh, K. M. (2017). Fuzzy Qualitative Approach for Micro-Expression
Recognition. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Lim, C. H. & Chan, C. S. (2013). Fuzzy action recognition for multiple views within single camera. IEEE International Conference on Fuzzy Systems (FUZZ).
Lim, C. H. & Chan, C. S. (2012). A fuzzy qualitative approach for scene classification. IEEE International Conference on Fuzzy Systems (FUZZ).
Lim, C. H., Kadyrov, A., Chan, C. S., & Liu, H. (2012). Motion Detection based on Simulated Depth Measurement. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES).
Lim, C. H., & Chan, C. S. (2011). A Framework on Fuzzy Intrusion Detection. In Advanced Computational Intelligence and Intelligent Informatics (IWACIII).