Professor Dr.
 Rayner Alfred
Professor Dr. Rayner Alfred
Fakulti Komputeran Dan Informatik · Pusat Kolaborasi dan Libatsama Industri, UMS
ralfred@ums.edu.my
Summary

Professor Dr. Rayner Alfred is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah.

As a member of Pusat Kolaborasi dan Libatsama Industri, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Education
Stats
Publications:
61
Projects:
70
Grants:
RM 10,245,116.95
Scopus Metrics
Research Interests
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Knowledge Representation and Machine Learning
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Quantum Computing
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Computational Modelling and Analytics
MANUFACTURING AND INDUSTRIAL ENGINEERING - Artificial Intelligence and Optimisation Methods
STATISTICAL STUDIES - Computational Artificial Neural Networks
Latest Grants
Machine Intelligence Revolutionized Storage And Shipping Tank For Aquaculture Sea Products To Support The Development Of A Sustainable Blue Economy
A Smart Patient Tracking And Behavior Analytics System Using Ultra-wideband
Mysentidic2: From Polarity To Intensity - Enhancing Malay Sentiment Lexicons With Detailed Scoring
Vermicomposting Reactor Development And Vermicompost Performance Test For Smart Smallholder Vermicomposting Systems
A Contrast Subspace Mining Method Using Tree Technique For High Dimensional Mixed Type Data: An Application To Detect And Control Diabetes Disease
Latest Publications
Develop The Spatial Modeling For The Children's Internet Risk Content In Sabah
Diel Activity And Swimming Behaviour Of Hybrid Grouper (epinephelus Fuscoguttatus ? × Epinephelus Lanceolatus ?) Juveniles
Optimized Autoencoder Deep Learning For Carbon Stock Estimation Using Multi Source Remote Sensing Data In Tropical Rainforests
Machine Learning-powered Customer Lifetime Value Segmentation For Predicting Customer Value In The E-commerce Industry
Rgb-d Salient Object Detection With Local Feature And Semantic Segmentation
Administrative Positions
Pusat Kolaborasi dan Libatsama Industri