2016 FCI Computer Science Project Excellence Awards
UMS was established on 24th November 1994. His Royal highness the Yang DiPertuan Agong proclaimed the establishment of UMS under Section 6(1) of theUniversities and University Colleges Act 1971. The ninth university in Malaysia expanded rapidly since the early days of its inception. The management office that started activities at the Ministry of Education, Kuala Lumpur later on shifted to Kota Kinabalu. Teaching and research commenced in 1995 in rented buildings. The physical development of permanent campus on a 999 acre piece of land began in earnest in August 1995. The University's occupation of the permanent campus started in 1999 and completed in 2000. In the meantime, the government also granted approval to UMS to set up a branch campus in the Federal Territory of Labuan. Years that followed the acquisition of building facilities for teaching, learning and research have witnessed the emergence of an increasing number of schools, centres and units.
Universiti Malaysia Sabah strives to achieve academic excellence in various fields by gaining international of the society and recognition through learning and teaching, research and publications, social services and a balanced specialization of knowledge and personality development of students resulting in high productivity and quality in context of the society and the nation.
The UMS-MIMOS Center of Excellence in Semantic Agents is a research center established under the collaboration between UMS and MIMOS. The center was launched on the 24th April 2009 by the Honorable Minister of Science, Innovation and Technology, Datuk Dr. Maximus Johnity Ongkili. This center focuses on the research activities related to Semantic Technology and software agents. The vision of the center is to become one of the leading research center in semantic agents.
Rayner Alfred is an Associate Professor of Computer Science at the Faculty of Computing and Informatics, Universiti Malaysia Sabah in Malaysia. He leads and defines projects around knowledge discovery and information retrieval that focuses on building smarter mechanism that enables knowledge discovery in structured and unstructured data. His work addresses the challenges related to big data problem: How can we create and apply smarter collaborative knowledge discovery technologies that bridge the structured and unstructured data mining and cope with the big data problem.
Rayner completed his PhD in 2008 looking at intelligent techniques to model and optimize the dynamic and distributed processes of knowledge discovery for structured and unstructured data. He holds a PhD degree in Computer Science from York University (United Kingdom), a Master degree in Computer Science from Western Michigan University, Kalamazoo (USA) and a Computer Science degree from Polytechnic University of Brooklyn, New York (USA) where he was the recipient of the Myron M. Rosenthal Academic Achievement Award for the outstanding academic achievement in Computer Science in 1994. He has authored and co-authored more than 85 journals/book chapters and conference papers, editorials, and served on the program and organizing committees of numerous national and international conferences and workshops.
Rayner is currently a member of IEEE, a Certified Software Tester (CTFL) from the International Software Testing Qualifications Board (ISTQB) and also a certified IBM DB2 Academic Associate (IBM DB2 AA). He leads the Knowledge Discovery and Machine Learning (KDML-UMS) research group in UMS and he has lead several projects related to knowledge discovery and machine learning on Big Data. Some of the projects include Semantic Multi-Agent For Knowledge Sharing (Indigenous Ensemble Semantic Model for Knowledge-Based Society), Developing An Evolutionary-Based Ensemble Classifier Framework for Learning Big Relational Data, Developing a genetic-based hierarchical agglomerative clustering technique for parallel clustering of bilingual corpora based on reduced terms, Enhancing Document Clustering By Integrating Semantic Background Knowledge and Syntactic Features Into the BOW Representation and the Fundamental Study on an Evolutionary Based Features Construction Methods for Data Summarization Approach to Predict Survival Factors of Coral Reefs in Malaysia, to name a few.
Senior Member IEEE (SMIEEE)
PhD (Artificial Intelligence)
MSc (Software Engineering)
Interest of research includes Neural Networks, Game in AI, Evolutionary Robotics, Image Processing, Agent Technology, and Semantic Agent.
Currently, he is the head of Software Engineering department.