Professor Madya Dr. Goh Say Leng

Professor Madya Dr. Goh Say Leng

Fakulti Komputeran Dan Informatik, UMS

Operations Research, Discrete Optimization, Machine Learning, Combinatorial Optimization, Timetabling, Scheduling

Contact Information

Academic Department

Fakulti Komputeran Dan Informatik

Appointed Department

Fakulti Komputeran Dan Informatik

Education

Doktor Falsafah

Nottingham University, Nottingham, Uk

2017

Msc Computing Science

Imperial College Technology, Science And Medical

2006

Bachelor Of Information Technology

Universiti Malaysia Sabah

2004

Research

Projects

13

Active

1

Grants

RM 439,100.00


Research Interests & Expertise

Publications

Total Publications by Year

Total publications by calendar year
Year Publications
2008 1
2009 2
2011 1
2012 1
2019 2
2020 3
2021 5
2022 5
2023 6
2024 8
2025 7
2026 1

Scopus Metrics

Scopus Profile

Documents

39

H-Index

15

Citations

788

Institutional

42

Research listing

Completed and ongoing projects

Showing 1 to 5 of 13 entries

Hybrid Mixed Integer Linear Programming and Simulated Annealing Optimization Algorithm for Nurse Rostering Problems

Leader

2025 - 2028

A Heuristic-based Iterated Local Search Approach for the Green Vehicle Routing Problem.

Leader

2021 - 2024

Adaptive Challenge-based Gamification using Collaborative Filtering Algorithm and Item Response Theory

Member

2021 - 2025

Formulating User Engagement Model to Promote Public Health Through Social Media Utilizing Apriori Approach Based on User Generated Content(UGC)

Member

2021 - 2024

An Iterated Local Search Approach for Nurse Rostering Problem.

Member

2020 - 2023

Publications listing

Note: publication data for the last 3 years will be displayed

Showing 1 to 5 of 11 entries

1.

GOH SAY LENG (2025), Digital drone education in Sarawak: Enhancing STEM learning through hands-on training for school students

2.

GOH SAY LENG (2025), Multi-Population Kidney-Inspired Algorithm with Migration Policy Selections for Feature Selection Problems

3.

GOH SAY LENG (2025), Multi-neighborhood local search with room split balancer for exam timetabling: A case study

4.

GOH SAY LENG (2025), Optimality vs. Generality: Performance Assessment of Meta-heuristics in Educational Timetabling

5.

GOH SAY LENG (2025), Optimizing Heart-Kidney Interaction for Cancer Detection through Physiological Process Simulation as a Decision Support System