UTP Scholars: Assoc Prof Ts. Dr Koh Tieng Wei
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Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
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Email: koh.tiengwei@utp.edu.my
- [1 Jun 2025 - 31 May 2028], AI-based Predictive Model for Enhancing Flow Assurance and Multi-Deposit Control in Hydrocarbon Pipelines Using Multivariable MetOcean Data.
- [1 Aug 2024 - 31 Jul 2026], Formulating an Artificial Intelligent-based Prescriptive Learning Analytics Model to Improve Diverse Learners' Automated Programming Learning Outcomes.
- Malaysia Board of Technology (MBOT): • Professional Technologist (PT20050090) • Graduate Technologist (GT19070244)
- IEEE & IEEE Computer Society Member (#96109952).
- [1 Nov 2023-Present], Associate Professor (10F) Department of Computer, Universiti Teknologi PETRONAS
- [1 Oct 2019-30 Oct 2023], Associate Professor (DS54) Faculty of Computer Science & IT, UPM
- OAS5023/OAT5053/TAM5053: Research Methodology in IT.
- OAS5043: Statistical Methods for Data Analysis.
- Empirical Software Engineering
- Software Metrics
- Applied Informatics
- Industrial Automation
- Embedded Systems
- 2012, PhD in Software Engineering by Universiti Putra Malaysia
- 2007, Master in Software Engineering by Universiti Putra Malaysia
- 2004, Bachelor's in Computer Science (Hons.) by Universiti Putra Malaysia
Dr. Koh Tieng Wei received his Bachelor of Computer Science (Hons.), Master of Science in Software Engineering, and Doctor of Philosophy in Software Engineering from Universiti Putra Malaysia (UPM) in 2004, 2007, and 2012, respectively.
He served at Universiti Putra Malaysia (UPM) for nearly two decades, from 2004 to 2023, during which he held several key academic and leadership positions. These included Head of the Software Engineering Research Group (SERG), Program Coordinator for the Master of Software Engineering, and Research Associate at the Malaysian Research Institute on Ageing (MyAgeing). In these roles, he was actively involved in curriculum development, postgraduate supervision, research leadership, and multidisciplinary collaborations.
Currently, Dr. Koh is an Associate Professor in the Department of Computing, Faculty of Science, Management & Computing at Universiti Teknologi PETRONAS (UTP). He also serves as the Head of the Centre for Cyber-Physical Systems, where he oversees research activities and strategic initiatives that bridge computing with real-world industrial applications.
Dr. Koh has been actively engaged in numerous research projects funded by both industry and government agencies, at the national and international levels. His collaborative projects span various domains, reflecting the practical impact and interdisciplinary nature of his work.His current research interests lie at the intersection of Software Engineering and Industrial Automation, with a focus on Intelligent Automation Systems, Smart Manufacturing Technologies, Data-Driven Process Optimization, Sustainable and Green Manufacturing Solutions, Software Architecture and Engineering Practices for Industrial Systems.
He is passionate about advancing digital transformation in manufacturing and industrial sectors through innovative software-driven solutions and intelligent automation frameworks. His research contributes to the evolving landscape of Industry 4.0 and Cyber-Physical Systems, addressing both theoretical and applied challenges.
Butt, U.M. and Letchmunan, S. and Hassan, F.H. and Koh, T.W. (2024) Leveraging transfer learning with deep learning for crime prediction. PLoS ONE, 19 (4 Apri). ISSN 19326203
Yang, F. and Ismail, N.A. and Pang, Y.Y. and Kebande, V.R. and Al-Dhaqm, A. and Koh, T.W. (2024) A Systematic Literature Review of Deep Learning Approaches for Sketch-Based Image Retrieval: Datasets, Metrics, and Future Directions. IEEE Access, 12. pp. 14847-14869. ISSN 21693536