Professor Madya Dr. Goh Say Leng
Fakulti Komputeran Dan Informatik, UMS
Professor Madya Dr. Goh Say Leng is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Operations Research, Discrete Optimization, Machine Learning, Combinatorial Optimization, Timetabling, Scheduling .
As a member of Fakulti Komputeran Dan Informatik, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.
Professor Madya Dr. Goh Say Leng holds Doktor Falsafah from Nottingham University, Nottingham, UK , among other qualifications, and has established themselves as a respected expert in their field.
Contact Information
Academic Department
Fakulti Komputeran Dan Informatik, UMS
Appointed Department
Fakulti Komputeran Dan Informatik, UMS
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 Collaborators
Research
Projects
13
Active
1
Grants
RM 439,100.00
Research Interests & Expertise
Specialist Topics In Mathematics - Operations Research in Optimization
Publications
Total Publications by Year
Scopus Metrics
Scopus ProfileDocuments
38
H-Index
15
Citations
732
Affiliation
Universiti Malaysia Sabah
Research listing
Current Research Projects
Hybrid mixed integer linear programming and simulated annealing optimization algorithm for nurse rostering problems
Leader
2025 - 2028
Publications listing
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 1 to 10 of 13 entries
Goh Say Leng (2025), Optimality Vs. Generality: Performance Assessment Of Meta-heuristics In Educational Timetabling
Goh Say Leng (2025), Digital Drone Education In Sarawak: Enhancing Stem Learning Through Hands-on Training For School Students
Goh Say Leng (2025), Optimizing Heart-kidney Interaction For Cancer Detection Through Physiological Process Simulation As A Decision Support System
Goh Say Leng (2025), Multi-population Kidney-inspired Algorithm With Migration Policy Selections For Feature Selection Problems
Goh Say Leng (2025), Multi-neighborhood Local Search With Room Split Balancer For Exam Timetabling: A Case Study
Goh Say Leng (2025), Optimizing Decentralized Exam Timetabling With A Discrete Whale Optimization Algorithm
Mohd. Hanafi Bin Ahmad Hijazi , Goh Say Leng (2024), A Survey Of Mat-heuristics For Combinatorial Optimisation Problems: Variants, Trends And Opportunities
Goh Say Leng (2024), A Survey Of Solution Methodologies For Exam Timetabling Problems
Goh Say Leng (2024), A Related Convolutional Neural Network For Cancer Diagnosis Using Microrna Data Classification
Mohd. Hanafi Bin Ahmad Hijazi , Goh Say Leng (2024), A Survey Of Mat-heuristics For Combinatorial Optimization Problems: Variants, Trends And Opportunities
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