Personal profile
Personal profile
Dr. Wooi Ping Cheah has taught both undergraduate and postgraduate courses in the fields related to Information Technology or Computer Science, such as Programming, Algorithm Design and Analysis, Artificial Intelligence, Expert Systems, and Computational Intelligence. He has involved in coordinating curriculum planning and design from undergraduate to postgraduate level, with programmes which have been successfully audited by the relevant qualification agencies. He has been able to publish a number of research papers as main author or a co-author in journals with high impact factors indexed by Web of Science, such as Expert Systems with Applications, Information Sciences, and Neural Computing and Applications. He has successfully obtained two national-level research grants as a project leader. With these research grants he has successfully supported the tuition fees and living expenses of a number of postgraduate students.
Teaching
Programming
Reasoning about Programs
Data Structures and Algorithms
Algorithm Design and Analysis
Object-Oriented Programming
Logic Programming
Artificial Intelligence
Expert Systems
Decision Support Systems and Intelligent Systems
Computational Intelligence
Research Interests
Soft Computing (Fuzzy Cognitive Map, Bayesian Belief Network)
Knowledge Engineering (Modeling, Representation, Reasoning)
Software Engineering (Software Maintenance, Process Modeling)
Artificial Intelligence (Machine Learning, Data Mining, Causal Discovery)
Programming Paradigms (Logic, Functional, Object-Oriented)
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Enhancing Road Safety Evaluation with AI: Causal Discovery and Reasoning in Road Traffic Accident Analysis
Zahran, O. E., Xin, Y., Zahran, E. M. M. & Cheah, W. P., 2025, 2025 6th International Conference on Computer Vision, Image and Deep Learning, CVIDL 2025. Institute of Electrical and Electronics Engineers Inc., p. 701-706 6 p. (2025 6th International Conference on Computer Vision, Image and Deep Learning, CVIDL 2025).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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S3-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation
Wang, G., Li, Y., Chen, W., Ding, M., Cheah, W. P., Qu, R., Ren, J. & Shen, L., 11 Apr 2025, Special Track on AI Alignment. Walsh, T., Shah, J. & Kolter, Z. (eds.). 7 ed. Association for the Advancement of Artificial Intelligence, p. 7655-7664 10 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 7).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access10 Citations (Scopus) -
Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning
Li, Y., Du, N., Song, X., Yang, X., Cui, T., Xue, N., Farjudian, A., Ren, J. & Cheah, W. P., 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
5 Citations (Scopus) -
Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
Nasser Al-Andoli, M., Chiang Tan, S. & Ping Cheah, W., Jul 2022, In: Information Sciences. 600, p. 94-117 24 p.Research output: Journal Publication › Article › peer-review
32 Citations (Scopus) -
How Do Undergraduates Perceive Online Learning During Pandemic?
Susaie, C., Tan, C. K. & Cheah, W. P., 2022, Proceedings of the 8th International Conference on Computational Science and Technology - ICCST 2021. Alfred, R. & Lim, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 207-216 10 p. (Lecture Notes in Electrical Engineering; vol. 835).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review