Professor Dr.
 Jumat Bin Sulaiman
Professor Dr. Jumat Bin Sulaiman
Fakulti Sains dan Teknologi · Fakulti Sains dan Teknologi, UMS
jumat@ums.edu.my
Summary

Professor Dr. Jumat Bin Sulaiman is a distinguished researcher at Fakulti Sains dan Teknologi, University Malaysia Sabah. Their research focuses on Numerical analysis using the finite element and finite difference methods on mathematical modeling Scientific Computing (Multigrid algorithms, Points and Block Iterative Algorithms) Numerical solutions on optimization problems. numerical analysis for PDEs, IEs and IDEs Development of mathematical models .

As a member of Fakulti Sains dan Teknologi, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Professor Dr. Jumat Bin Sulaiman holds DOKTOR FALSAFAH (KOMPUTERAN INDUSTRI) from Universiti Kebangsaan Malaysia , among other qualifications, and has established themselves as a respected expert in their field.

Education
Doktor Falsafah (komputeran Industri)
Sarjana Teknologi Maklumat (komputeran Industri)
Sarjanamuda Sains Dengan Kepujian
Stats
Publications:
761
Projects:
14
Grants:
RM 475,200.00
Scopus Metrics
Scopus Author ID:
16023157000
H-Index:
22
Documents:
323
Citations:
1,772
Research Interests
COMPUTATIONAL MATHEMATICS - Computational Methodology and Complexities
COMPUTATIONAL MATHEMATICS - Computational Simulation and Modelling
COMPUTATIONAL MATHEMATICS - Symbolic and Algebraic Manipulation
MATHEMATICAL SCIENCES - Mathematical Prediction
MATHEMATICAL SCIENCES - Mathematics in Industrial Optimisation and Control
MATHEMATICAL SCIENCES - Numerical Analysis
MATHEMATICAL SCIENCES - Numerical Methods for Partial Differential Equations
Latest Grants
Mathematical Modelling And Numerical Solution For Brain Tumor Dynamics In Eeg Signals.
Famili Kaedah Lelaran Kaudd Berpemberat Dengan Skema Beza Terhingga Caputo Serta Pendekatan Pelinearan Aritmetik Tak Setempat Bagi Persamaan Terbitan Parabolik Pecahan-masa Tak Linear
Newton Iteration Family With The Penalty Function Approach For Multi-objective Optimization Problems And Its Application In Financial Investment Portfolio
Latest Publications
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
Explicit Group Iterative Method With Semi-approximate Implicit Approach For Solving One-dimensional Burgers’ Equation
Scattered Data Interpolation And Approximation Using Machine Learning: K-nn And Dt Approaches
Machine Learning Approaches In Scattered Data Approximation: A Comparative Study Of Gpr And Svr
Previous Appointments
Administrative Positions