Professor Madya Dr. Jamal Ahmad Dargham
Professor Madya Dr. Jamal Ahmad Dargham
Fakulti Kejuruteraan · Fakulti Kejuruteraan, UMS
jamalad@ums.edu.my
Summary

Professor Madya Dr. Jamal Ahmad Dargham is a distinguished researcher at Fakulti Kejuruteraan, University Malaysia Sabah. Their research focuses on Image Processing, Biometrics .

As a member of Fakulti Kejuruteraan, 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. Jamal Ahmad Dargham holds Doctor of Philosophy from Universiti Malaysia Sabah , among other qualifications, and has established themselves as a respected expert in their field.

Education
Doctor Of Philosophy
Universiti Malaysia Sabah · 2008
Master Of Science
Manchester University, Inst Of Sci. & Technical (umist) · 1987
Bachelor Of Technology In Control And Systems Engineering
University Of Technology, Sydney · 1984
Stats
Publications:
18
Projects:
18
Grants:
RM 1,216,018.00
Scopus Metrics
Scopus Author ID:
26326221900
H-Index:
13
Documents:
67
Citations:
775
Research Interests
Latest Grants
Assembly Language Program - A Hands-on Using Intel Microprocessors
2025 – Ongoing
Petronas Advanced Analytics Framework For Resource Optimization (petro-afro Framework): Driving Operational Excellence Through Data Science And Artificial Intelligence
2024 – Ongoing
Formulating A Spectrally Adapted One-stage Detection Algorithm For Assessing Beef Cattle Health With Pseudo-rgb And Multispectral Bands
2024 – Ongoing
Design Of An Automatic Smart Ingredients Feeder For Mixer In A Fish Feed Production Line.
2023 – Ongoing
Accurate Positioning Algorithm For Patient Tracking In Indoor Wireless Networks Using Adaptive Non-gaussian Particle Filters.
2022 – Ongoing
Latest Publications
Design And Development Of A Volumetric Smart Feeder For Fish Meal Production Line
N/A · 2025
Time-to-exit: A Soft Instantaneous Mro Parameter For Handover Self-optimization In 5g And Beyond
N/A · 2025
Mitigation Of Frequent-handover In 5g And Beyond Using Handover Candidate Cells List Optimization
N/A · 2025
Rgb And Rgnir Image Dataset For Machine Learning In Plastic Waste Detection
N/A · 2025
Mitigation Of Frequent-handover In 5g And Beyond Using Handover Candidate Cells List Optimization
N/A · 2025
Administrative Positions
Fakulti Kejuruteraan
UMS