Dr. Jackel Chew Vui Lung
Dr. Jackel Chew Vui Lung
Fakulti Komputeran Dan Informatik · Fakulti Komputeran Dan Informatik, UMS
jackelchew93@ums.edu.my
Summary

Dr. Jackel Chew is a Senior Lecturer in the Faculty of Computing and Informatics at Universiti Malaysia Sabah, where he has served since 2019. He holds both a PhD and a Bachelor’s degree from the same university and is currently pursuing a Master of Computer Science in Computational Intelligence. His research interests encompass numerical methods and analysis, statistical modeling and analysis, metaheuristics, and machine learning.

Dr. Jackel Chew Vui Lung holds IJAZAH DOKTOR FALSAFAH (MATEMATIK) from Universiti Malaysia Sabah , among other qualifications, and has established themselves as a respected expert in their field.

Education
Ijazah Doktor Falsafah (matematik)
Ijazah Sarjana Muda Sains Dengan Kepujian (matematik Dengan Ekonomi)
Stats
Publications:
58
Projects:
6
Grants:
RM 225,200.00
Scopus Metrics
Scopus Author ID:
57190217871
H-Index:
7
Documents:
54
Citations:
177
Research Interests
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Predictive Analytics in Machine Learning
MATHEMATICAL SCIENCES - Numerical Analysis
MATHEMATICAL SCIENCES - Ordinary Differential and Partial Differential Equations
SPECIALIST TOPICS IN MATHEMATICS - Mathematics and Statistics for Science and Engineering
STATISTICAL STUDIES - Exploratory Data Analysis (Including Statistical Modelling)
Latest Grants
Mathematical Modelling Of Ambulance Paths In Heavy Traffic Congestion Using Caputo Fractional Derivatives
Mathematical Modelling And Numerical Solution For Brain Tumor Dynamics In Eeg Signals.
Enhancing Disaster Resilience: A Comprehensive Approach To Flood Evacuation And Temporary Shelter Operations In Sabah Post-covid-19 Using Discrete-event Simulations
Modified Implicit Finite Difference Method Using Quarter-sweep Approach For Nonlinear Advection-diffusion Equations In Flood Routing
Latest Publications
A Systematic Literature Review On Technology Acceptance Determinants For Personalized Scheduling System Among University Students
Solution Of The Porous Medium Equation With Source Terms Via 4-point Newton-explicit Group Mksor Based On Wave Variable Transformation
Enhanced Quarter-sweep Iterative Method Using Egsor For Solving One-dimensional Porous Medium Equation
Hybrid Genetic Algorithm With Caputo Fractional Derivative For Ambulance Routing Problems
An Accelerated Numerical Framework To Simulate Brain Tumor Growth Via Ksor Method
Administrative Positions
Fakulti Komputeran Dan Informatik