Academic Profile

Academic Profile

Assoc Prof Kwoh Chee Keong

Deputy Executive Director, Centre for Professional and Continuing Education, School of Computer Science and Engineering
Associate Professor, School of Computer Science and Engineering

Assoc Prof Kwoh Chee Keong

Dr. Kwoh Chee Keong is currently in the School of Computer Engineering since 1993. He received his Bachelor degree in Electrical Engineering (1st Class) and Master in Industrial System Engineering from the National University of Singapore in 1987 and 1991 respectively. He received his Ph.D. degrees from the Imperial College, University of London in 1995. His research interests include Data Mining and Soft Computing and Graph-Based inference; applications areas include Bioinformatics and Biomedical Engineering. He has done significant research work his research areas and published over 90 quality international conferences and over 30 journal papers. He has been often invited as a organizing member or referee and reviewer for a number of premier conferences and journals, including GIW, IEEE BIBM, RECOMB, PRIB etc. Dr. Kwoh is a member of The Institution of Engineers Singapore, Association for Medical and Bio-Informatics, Imperial College Alumni Association of Singapore (ICAAS). He has provided many service to professional bodies, and the Singapore and was conferred the Public Service Medal, the President of Singapore in 2008.
Research Interests
Development of a Computer Prediction System For Rational Design Of HLA-Based Peptide Vaccine;
Data Mining and Analysis on Infectious Disease
Heterogeneous Multi-Core Systems For Bioinformatics
Constrained Optimzation for Bioinformatics
Protein Interaction Network Analysis Using Graph Mining Approaches
Current Projects
  • AI Enhanced Creativity in Education
  • Artificial intelligence for the prediction of alternative splicing from epigenomics and transcriptomics data in cancer
  • Bioinformatics Algorithms for Detecting Genetic and Epigenetic Determinants of Meiotic Recombination Hotspots from Genomic Data
  • Bioinformatics Algorithms for Detecting and Epignetic Determinants of Meiotic Recombination Hotspots from Genomic Data
  • CloudDock: Molecular Docking Platform on Cloud
  • Computational Systems Biology of Synthetic Lethality towards New Cancer Medicine
  • Computational Virulence Model with Functional Information for Influenza Viruses
  • Core-Attachment based Mining Technique: to detect Protein Complexes and Protein-Small Molecule Interactions
  • Core-Attachment based Mining for Protein Complexes & Small-molecule Interactions
  • Explainable AI for Multimodal predictive maintenance of jet engines with smart HCI
  • Extraction of protein and gene interactions from the MEDLINE database
  • Host-pathogen protein-protein interaction approaches for predicting virulence
  • Hybrid Finite Element Method and Mixedlevel Coarse Graining Molecular Dynamics simulation
  • Improved Design via Evoltionary Algorithms
  • Methodological Investigation for Automatic Detection of Primary Angle Closure Condition (PAC) and PAC induced Glaucoma
  • Structual Analysis and Characterisation of Protein Complexes
  • Structural analysis and characterization of protein complexes
  • The discovery of neutralizing antibodies for potential novel coronavirus through machine learning approaches
Selected Publications
  • A. Wirawan, C.K. Kwoh, T.H. Nim, B. Schmidt. (2008). CBESW: Sequence Alignment on the Playstation. BMC Bioinformatics, .
  • Min Wu Xiaoli Li Chee-Keong Kwoh See-Kiong Ng. (2008). Semantic labeling to identify reliable interactions in the protein interaction network. The 2nd International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2008).
  • D Zhou*, Y.L.He, C.K.Kwoh. (2008). Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model. International Journal of Bioinformatics Research and Applications, .
  • G. L. Zhang A. M. Khan K. N. Srinivasan A. T. Heiny K. X. Lee …. (2008). Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes. BMC Bioinformatics, .
  • D Zhou*, Y.L.He, C.K.Kwoh. (2007). Semi-supervised learning of the hidden vector state model for Extracting Protein-Protein Interactions. Artificial Intelligence in Medicine, .

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