Professor Madya Dr. Tham Heng Jin
Fakulti Kejuruteraan, UMS
Dr. Tham Heng Jin is a senior lecturer at the Chemical Engineering Programme, Universiti Malaysia Sabah. She has joined UMS since 2002. She obtained her Bachelor’s degree of Chemical & Process Engineering from University of Newcastle, UK in 1997, and a Master’s degree from Universiti Malaya in 2001. In 2010, she completed her PhD in Chemical Engineering from University of Auckland, New Zealand. Dr. Tham has also served as the head of Chemical Engineering progamme from 2018-2020. Dr. Tham’s research interest includes process control and food engineering. She has been actively involved in a few projects related to drying of foods. She has supervised and graduated 6 Masters graduates, and 1 PhD student.
Contact Information
Academic Department
Fakulti Kejuruteraan
Appointed Department
Fakulti Kejuruteraan
Education
Phd (Chemical And Materials Engineering)
Auckland University, New Zealand
2010
Ijazah Sarjana Sains Kejuruteraan
Universiti Malaya
2001
Bachelor Of Engineering
University Of Newcastle Upon Tyne, Uk
1997
Research
Projects
23
Active
3
Grants
RM 1,358,807.00
Research Interests & Expertise
Publications
Total Publications by Year
| Year | Publications |
|---|---|
| 2003 | 1 |
| 2007 | 1 |
| 2010 | 1 |
| 2011 | 4 |
| 2012 | 6 |
| 2013 | 3 |
| 2014 | 1 |
| 2015 | 1 |
| 2016 | 5 |
| 2017 | 3 |
| 2019 | 4 |
| 2020 | 1 |
| 2021 | 5 |
| 2022 | 3 |
| 2023 | 5 |
| 2024 | 4 |
| 2025 | 3 |
| 2026 | 2 |
Scopus Metrics
Scopus ProfileDocuments
39
H-Index
10
Citations
335
Institutional
53
Research listing
Completed and ongoing projects
Showing 1 to 5 of 23 entries
Commercial Scale-Up of Type-T Modular Solar Chimney: A Sustainable Solution for Enhanced Drying of Sea Cucumber and other Biomass Materials
Member
2025 - 2026
Micro-credential courses in facilitating capacity building in identified areas of Communications and Multimedia
Member
2023 - 2026
Penghasilan Ikan Liking Premium Kota Belud Menggunakan Pengering Hibrid Solar-Elektrik.
Member
2023 - 2025
An Experimental and Numerical Study of Erosion-Corrosion behaviour from Slurry Jetting Impact on External pipe-wall surface.
Member
2022 - 2024
Dynamic Modelling and Optimisation of Multi-Objective Fed-Batch Fermentation Process using Self-Adaptable deep Reinforcement Learning Algorithm
Leader
2020 - 2023
Publications listing
Note: publication data for the last 3 years will be displayed
Showing 1 to 2 of 2 entries
THAM HENG JIN , ZAINAL BIN ZAKARIA , HAFEZA BINTI ABU BAKAR (2025), A mini review on predicting buried pipelines failures using machine learning methods (ANN and Hybrid)
KENNETH TEO TZE KIN , THAM HENG JIN , TAN MIN KENG (2024), Optimization of fed-batch baker’s yeast fermentation using deep reinforcement learning