UTP Scholars: Assoc Prof Ts. Dr Koh Tieng Wei


Office Address

Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:
Email: koh.tiengwei@utp.edu.my
Scopus
Author ID
Document Count
22
Total Citations
135
h-Index
8
Co-authors
39
Google Scholar Citations
Author Profile URL
Citations
447
h-Index
12
Research Gate
Author Profile URL
Publications
35
Citations
246
h-Index
10
Reads
37,123
Note: Updated as of Quarter 2, 2024 (June)

Title:
Associate Professor

Specialization:
  • Empirical Software Engineering
  • Software Metrics
  • Applied Informatics
  • Robotic Process Automation
  • System Engineering and Automation

Qualifications:
  • 2004, Degree in Computer Science (Hons.) by Universiti Putra Malaysia
  • 2007, Master in Software Engineering by Universiti Putra Malaysia
  • 2012, PhD in Software Engineering by Universiti Putra Malaysia

Other Information:

Short Biography:

Tieng Wei Koh received the B.Sc. degree and M.S. degree in software engineering and the Ph.D. degree in software engineering from Universiti Putra Malaysia (UPM), in 2004, 2007, and 2011, respectively. He was appointed as the Head of the Software Engineering Research Group (SERG) for four years ended recently. At present, he is the Program Coordinator for Master of Software Engineering degree program, and a Research Associate with the Malaysian Research Institute on Ageing (MyAgeing). He is currently an Associate Professor with the Faculty of Computer Science and Information Technology, UPM. He has participated in number of research projects funded by few government agencies, such as Ministry of Higher Education Malaysia (MoHE) and Ministry of Women, Family and Community Development (KPWKM). His research interests include software measurement, and empirical software engineering.


Number of items: 2.

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

This list was generated on Tue Dec 24 21:44:09 2024 +08.
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