Professor Madya Dr.
 Tham Heng Jin

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, UMS

Appointed Department

Fakulti Kejuruteraan, UMS

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 Collaborators

Research

Projects

4

Active

4

Grants

RM 220,607.00


Research Interests & Expertise

Chemical Engineering - Process Control in Chemical Engineering

Publications

Total Publications by Year

NOTE: N/A = Data not available, 0 = Data not completed


Scopus Metrics

Scopus Profile

Documents

39

H-Index

10

Citations

286

Affiliation

Universiti Malaysia Sabah

Research listing

Current Research Projects

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

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 5 of 5 entries

1.

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)

2.

Kenneth Teo Tze Kin , Tan Min Keng , Tham Heng Jin (2024) , Optimization Of Fed-batch Baker’s Yeast Fermentation Using Deep Reinforcement Learning

3.

Sivakumar Kumaresan , Chu Chi Ming , Tham Heng Jin (2023) , Mitigation Of 3-monochloropropane 1,2 Diol Ester And Glycidyl Ester In Refined Oil – A Review

4.

Sivakumar Kumaresan , Chu Chi Ming , Tham Heng Jin (2023) , Simultaneous Mitigation Of 3-monochloropropane 1,2 Diol Ester And Glycidyl Ester In Edible Oils: A Review

5.

Chu Chi Ming , Sivakumar Kumaresan , Tham Heng Jin (2023) , Optimization Of Water Washing For Mitigation Of 3-monochloropropane 1,2 Diol Ester In Palm Oil Physical Refining Process