Ts. Dr. Tan Min Keng
Ts. Dr. Tan Min Keng
Fakulti Kejuruteraan · Fakulti Kejuruteraan, UMS
tanminkeng@ums.edu.my
Summary

Dr. Tan Min Keng is a Senior Lecturer at the Faculty of Engineering, Universiti Malaysia Sabah (UMS), where he obtained his Bachelor’s, Master’s, and PhD in Electrical and Electronic Engineering. His research interests include adaptive intelligence, multi-agent systems, and AI-driven analytics, with a focus on advancing intelligent engineering solutions.

Tan is a registered Professional Technologist with the Malaysia Board of Technologists (MBOT) and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He holds leadership roles as Vice Chair of the IEEE Sabah Subsection and Counsellor of the IEEE Student Branch at UMS.

Beyond academia, Dr. Tan actively contributes to the international research community through conference leadership and remains committed to professional mentorship, volunteerism, and broader engagement within the engineering community.

Ts. Dr. Tan Min Keng holds Ijazah Doktor Falsafah (PhD) from Universiti Malaysia Sabah , among other qualifications, and has established themselves as a respected expert in their field.

Education
Ijazah Doktor Falsafah (phd)
Ijazah Sarjana Kejuruteraan (meng)
Ijazah Sarjana Muda Kejuruteraan Dengan Kepujian (beng (hons))
Stats
Publications:
118
Projects:
14
Grants:
RM 771,800.00
Scopus Metrics
Scopus Author ID:
55129691700
H-Index:
14
Documents:
98
Citations:
660
Research Interests
ELECTRICAL AND ELECTRONIC ENGINEERING - Control Optimization Algorithm
ELECTRICAL AND ELECTRONIC ENGINEERING - Multi-Agent Control System
STATISTICAL STUDIES - Computational Artificial Neural Networks
STATISTICAL STUDIES - Markov Chain Monte Carlo Methods
Latest Grants
Decentralized Proximal Policy Optimization Algorithm With Alternate Clipping Function For Traffic Signal Control Optimization
Temporal Difference Learning Based Automatic Generation Control For Multi-area Power System
An Extended Temporal Difference Learning Algorithm With Adaptive Meta-model For Optimising Automatic Generation Control In Multi-area Power System
Dynamic Modelling And Optimisation Of Multi-objective Molarity-based Fitness Mechanism For Industrial Exothermic Process Using Hybridised Dyna-q-pso Algorithm
Classification Of Juvenile Hybrid Grouper (epinephelus Fuscoguttatus × E. Lanceolatus) Behaviour Under The Culture Environment: Application Of Machine Learning In Fish Condition Monitoring
Latest Publications
Decentralized Proximal Policy Optimization For Traffic Signal Control
Comparative Analysis Of Feature Extraction And Noise Reduction Methods For Distress Keyword Detection
Reinforcement Learning-based Feed Rates Control For Fed-batch Penicillin Fermentation
Robust Adaptive Kalman Filtering With Dynamic Learning For Uav Altitude Estimation
A Comparative Study Of Bp And Ga-bp Models For Predicting The Dual-fuel Engine Performance
Administrative Positions
Fakulti Kejuruteraan