Our Faculty

• Ph.D in Computer Science (Software Engineering), Northwestern University, USA (1987)
• M.S in Computer Science (Software Engineering), Northwestern University, USA (1984)
• B.S (Distinction) in Mathematics with Computer Science Option, University of Nevada, USA (1980)

• AI-supported Software Engineering
• Machine Learning and Agentic AI
• Blockchain
• Cybersecurity
• Advanced Web Technologies

Research Grant

• An ontology-based framework for sharing information from disparate and distributed data sources: Fundamental Research Grant Scheme (FRGS) (Ministry of Higher Education) – March 2010 – Feb 2012 – co-Researcher
• Development of a next-generation Malaysian Tourism Information System (next-MTIS): e-Science Grant (Ministry of Science, Technology, and Innovation) – May 2008 to October 2009 – Principal Investigator/Project Leader
• Development of Decision Support System for University Resource Management Using System Dynamics Modeling Approach: e-Science Grant (Ministry of Science, Technology, and Innovation) – Oct 2008 to Sept 2010 – co-Researcher
• Web data mediation over Semantic Web framework: e-Science Grant (Ministry of Science, Technology, and Innovation) – Jan 2007 to Oct 2008 – Principal Investigator/Project Leader
• Semantic Web Development Tools and Techniques for Supporting Intelligent Information Integration (Intensified Research in Priority Areas (IRPA) Ministry of Science and Technology), – – Principal Investigator/Project Leader
• Design and Prototype Development for Malaysian Naval War Game Simulation System under a research project at R&D Division of Telekom Malaysia (1996-1998)
• Manufacturing Industry Information and Command Infrastructure (IRPA grant through Institute of Software Technology, UNIMAS): co-Researcher (1994-1995)
• Artificial Intelligence for Industries (IRPA): 1990-1995 – Program Leader

Student Supervision

• A Multi-Agent-Based Framework for Scalable Machine Learning Integration and Adaptive Decision Support in Smart Applications, PhD Thesis (passed Viva, 2025)
• A Hybrid Denoising Autoencoder With Long Short-Term Memory (DAE-LSTM) Model For Enhanced Text Classification, PhD Thesis (passed Viva, 2025)
• A Multi-Layer Approach to Securing Image Data, PhD Thesis (graduated 2024)
• Self-Adapting Security Monitoring in Eucalyptus Cloud Environment, PhD Thesis (graduated 2024)

1. ML2MAS: A Multi-Agent Reinforcement Learning and BNNs-GAN Integration Framework for Smart Manufacturing Optimization, Sustainable Operations and Computer, July 2025
2. Predicting Instructor Performance in Higher Education Using Stacking and Voting Ensemble Techniques, Journal of Theoretical and Applied Information Technology (JTAIT), Vol. 103, No. 2, January, 2025
3. Enhancing IoT Security Through User Categorization and Aberrant Behavior Detection Using RBAC and Machine Learning, International Journal of Advanced Computer Science and Applications (IJACSA), Volume 15, No 12, December 2024
4. Optimizing Smart Manufacturing Through Multi-Agent Integration of Machine Learning Models: A Conceptual Framework, International Conference on Computing and Communication Technologies (RIVF 2024), December 21-23, 2024, Duy Tan University (DTU), Da Nang, Vietnam
5. AI-Driven CBR and Ontological Integration Framework for Enhancing Breast Cancer Care: Case Study, 4th International Conference on Robotics, Automation, and Artificial Intelligence (RAAI 2024), December 19-21, 2024, Singapore
6. RAPID: Integrating AI and Multi-Agent Systems for Enhanced Traffic Management Framework with YOLOv9, 2024 International Conference On Innovation And Intelligence For Informatics, Computing, And Technologies (3ICT 2024), November 17-19, 2024, University of Bahrain, Bahrain
7. Vehicle to Everything: A Feasibility Study on Low-Cost Communication Protocol, 7.1 International Conference on Digital Innovation – Sustainability Through the Lens of SDG, November 8-9, 2024, Nam Can Tho University, Can Tho, Vietnam
8. An improved long short-term memory with denoising autoencoder for solving text classification problems, Mehran University Research Journal of Engineering and Technology, Vol. 43, No. 3 (July 2024)
9. Cutting-Edge AI Approaches with MAS for PdM in Industry 4.0: Challenges and Future Directions, Journal of Applied Data Sciences, Vol. 5, No. 2, May 2024
10. Developing the Readiness and Success Model for Information System Implementation in the Indonesian Equestrian Industry, Journal of Applied Data Sciences, Vol. 5, No. 1, January 2024

• Association for Computing Machinery (ACM)