Professor Dr.
 Rayner Alfred
Professor Dr. Rayner Alfred
Fakulti Komputeran Dan Informatik · Fakulti Komputeran Dan Informatik, UMS
ralfred@ums.edu.my
Summary

Professor Dr. Rayner Alfred is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Machine Learning and Machine Intelligence, Natural Language Processing, Information Retrieval, Sentiment Analysis, Knowledge Discovery in Big Data, Big Data Analytics, Data Science, Businness Intelligence, Data Visualization .

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.

Professor Dr. Rayner Alfred holds PhD from York University, UK , among other qualifications, and has established themselves as a respected expert in their field.

Education
Phd
Msc
Bsc
Stats
Publications:
496
Projects:
70
Grants:
RM 10,245,116.95
Scopus Metrics
Scopus Author ID:
24722539300
H-Index:
20
Documents:
201
Citations:
1,454
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
Machine Learning-powered Customer Lifetime Value Segmentation For Predicting Customer Value In The E-commerce Industry
Develop The Spatial Modeling For The Children's Internet Risk Content In Sabah
Keycap3d: Keyword-guided 3d Medical Image Captioning With Cross-attention
Optimized Autoencoder Deep Learning For Carbon Stock Estimation Using Multi Source Remote Sensing Data In Tropical Rainforests
Face Recognition With Mask Using Generative Adversarial Networks And Variational Autoencoders
Administrative Positions
Fakulti Komputeran Dan Informatik