UTP Scholars: Dr Ganesh Kumar
Office Address
22-02-027
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:60 5-368 7899
Email: hotattwei@utp.edu.my
22-02-027
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:60 5-368 7899
Email: hotattwei@utp.edu.my
Note: Updated as of Quarter 1, 2026 (March)
Working Experience:
- Senior Lecturer: Universiti Teknologi PETRONAS (2005-Present)
- Malaysia Node Coordinator: International Neuroinformatics Coordinating Facility (INCF) (2015-2019)
- Research Assistant, Schnitzer Lab: Stanford University (2006-2013)
Certification Provider:
- HRDC
Awards-National Recognition:
- N/A
Awards-International Recognition:
- N/A
Title:
Lecturer
Department:
Specialization:
- Generative AI (GenAI)
- Natural Language Processing (NLP)
- Deep Learning
- Intelligent Systems
Qualifications:
- 2024, PhD, Information Technology by Universiti Teknologi PETRONAS
- 2015, Masters of Engineering, Computer information engineering by Mehran University of Engineering and Technology
- 2011, Bachelor of Engineering (BE), Computer systems engineering by Mehran University of Engineering and Technology
Other Information:
Short Biography:
Dr. Ganesh Kumar is a Lecturer in the Department of Computer and Information Science (CIS) at Universiti Teknologi PETRONAS (UTP) with over 11 years of teaching experience in higher education. He holds a Ph.D. from UTP, where his doctoral research focused on developing a data harmonization framework for heterogeneous textual datasets. His primary research interests include Generative AI (GenAI), Deep Learning, and Natural Language Processing (NLP). Beyond his academic role, Dr. Ganesh is an active researcher who has published in various international journals and is open to collaborative research grants and student supervision
Number of items: 3.
Ndukwe, S.C. and Kannan, R. and Wei, H.T. (2023) A Single-Switch Bidirectional AC Chopper-Based Electronic Load Controller for Pico Hydropower System. In: UNSPECIFIED.
Wei, H.T. and Jeoti, V. (2005) Compression and enhancement of digital mammograms with wavelet footprints. In: UNSPECIFIED.
Wei, H.T. and Jeoti, V. (2004) A wavelet footprints-based compression scheme for È©cg signals. In: UNSPECIFIED.