Fakulti Komputeran Dan Informatik, UMS
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.
Academic Department
Fakulti Komputeran Dan Informatik, UMS
Appointed Department
Fakulti Komputeran Dan Informatik, UMS
Phd
York University, UK
2008
Msc
Western Michigan University, Kalamazoo
1997
Bsc
Polytechnic University, Brooklyn, New York
1994
Projects
11
Active
11
Grants
RM 1,433,828.60
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
NOTE: N/A = Data not available, 0 = Data not completed
Documents
196
H-Index
20
Citations
1,418
Affiliation
Universiti Malaysia Sabah
Machine intelligence revolutionized storage and shipping tank for aquaculture sea products to support the development of a sustainable blue economy
Leader
2025 - 2027
A smart patient tracking and behavior analytics system using ultra-wideband
Leader
2025 - 2026
Mysentidic2: from polarity to intensity - enhancing malay sentiment lexicons with detailed scoring
Member
2024 - 2026
Vermicomposting reactor development and vermicompost performance test for smart smallholder vermicomposting systems
Member
2024 - 2026
A contrast subspace mining method using tree technique for high dimensional mixed type data: an application to detect and control diabetes disease
Member
2023 - 2026
An integrated conjoined recurrent and convolutional neural network approach to classifying time-series forests hyper-spectral images for automated carbon stock estimation.
Leader
2022 - 2025
Hybrid adaptive multi-objective differential evolution lévy flight and neural network for breast cancer disease detection
Member
2022 - 2025
Classification of feeding behaviour for the development of an automated demand feeding system for hybrid grouper
Member
2021 - 2026
Classification of juvenile hybrid grouper (epinephelus fuscoguttatus × e. lanceolatus) behaviour under the culture environment: application of machine learning in fish condition monitoring
Member
2021 - 2026
Membudayakan penggunaan sains, teknologi dan inovasi untuk menyelesaikan masalah pencemaran sungai
Member
2021 - 2023
Mobile based automated car plate localization and recognition using neural networks
Member
2017 - 2020
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 11 to 15 of 15 entries
Rayner Alfred (2023) , Multi-step Cnn Forecasting For Covid-19 Multivariate Time-series
Rossita Shapawi , Lim Kit Guan , Kenneth Teo Tze Kin , Lim Leong Seng , Tan Min Keng , Rayner Alfred (2023) , A Technical Overview Of Feeding Management In Epinephelinae Groupers Grow-out Farming
Joe Henry Obit , Rayner Alfred (2023) , Concept Trending Of Social Media Data Using Apriori Algorithm
Oliver Valentine Eboy , Rayner Alfred (2023) , Analyzing Trends In The Spatial-temporal Visitation Patterns Of Mainland Chinese Tourists In Sabah, Malaysia Based On Weibo Social Big Data
Oliver Valentine Eboy , Rayner Alfred (2023) , Analysing Trends In The Spatial-temporal Visitation Patterns Of Mainland Chinese Tourists In Sabah, Malaysia Based On Weibo Social Big Data
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