Dr. Mohammad Fadhli Bin Asli
Fakulti Komputeran Dan Informatik, UMS
Dr. Mohammad Fadhli Bin Asli is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah.
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.
Contact Information
Academic Department
Fakulti Komputeran Dan Informatik, UMS
Appointed Department
Fakulti Komputeran Dan Informatik, UMS
Education
No education data available
Research Collaborators
MUZAFFAR BIN HAMZAH
9 publications
JACKEL CHEW VUI LUNG
5 publications
AG. ASRI BIN AG. IBRAHIM
2 publications
JUMAT BIN SULAIMAN
2 publications
SAMSUL ARIFFIN BIN ABDUL KARIM
1 publication
Research
Projects
3
Active
1
Grants
RM 65,000.00
Research Interests & Expertise
Information And Communication Technology (ict) - Data Visualisation in Computer Graphics
Publications
Total Publications by Year
Scopus Metrics
Documents
N/A
H-Index
N/A
Citations
N/A
Affiliation
N/A
Research listing
Current Research Projects
A new, multi-normalization-based critic and fucom framework to assess site suitability to establish permanent food production parks in labuan, malaysia
Member
2023 - 2026
Publications listing
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 1 to 4 of 4 entries
Mohammad Fadhli Bin Asli , Muzaffar Bin Hamzah (2025), Narrative Visualization: Taxonomy, Methodologies, Challenges, And Opportunities
Jumat Bin Sulaiman , Mohammad Fadhli Bin Asli , Jackel Chew Vui Lung (2024), Fractional Newton Explicit Group Method For Time-fractional Nonlinear Porous Medium Equations
Mohammad Fadhli Bin Asli , Jackel Chew Vui Lung (2023), Statistical Evaluation On Water Pollution Level Of Code River, Yogyakarta Based On Heavy Metals Concentrations And Sampling Locations
Mohammad Fadhli Bin Asli , Geoffrey Harvey Tanakinjal , Mohamad Rizal Bin Abdul Hamid , Anath Rau Krishnan , Bonaventure Boniface (2023), An Investigation To Offer Conclusive Recommendations On Suitable Benefit/cost Criteria-based Normalization Methods For Topsis