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 11 to 13 of 13 entries
Goh Say Leng (2024), A Related Convolutional Neural Network For Cancer Diagnosis Using Microrna Data Classification
Goh Say Leng (2023), Meta-heuristic Approaches For The University Course Timetabling Problem
Goh Say Leng (2023), Portfolio Optimization Problem: A Taxonomic Review Of Solution Methodologies
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