With advances in technologies, research community is flooded with ever-increasing dataset with different nature. Hence the need to locate, analyse and use these data becomes prominent for visualising and charting new discoveries. The research that falls in this cluster aims to develop new approaches, standards, methods, tools, and software that will enhance the use of these data by supporting research, implementation and training in data science. Hence the Data to Knowledge Cluster at the School of Computer Sciences has been expanded to consist of five sub clusters that encompasses Computational Intelligence, Computer Vision and Image Processing, Visual Informatics, Language Engineering and Knowledge Engineering.
|Research Field||Intelligent System Techniques, Scheduling/Timetabling/Planning, Evolutionary Computing, Collective Intelligence & Brain Inspired Computing|
|Faculty||Prof. Ahamad Tajudin Khader (Co-ordinator), Dr. Ibrahim Venkat, Pn. Maziani Sabudin, Prof. Lim Chee Peng, Dr. Umi Kalsom Yusof, Dr. Wong Li Pei, Dr. Fadratul Hafinaz Hassan|
|Lab||Computer Vision and Image Processing
| Research Field
||Image Analysis, Semantic Image and Video Knowledge Extraction, Evolutionary Computing, Image Retrieval & Multimodal Integration|
|Faculty||Prof. Mandava Rajeswari (Co-ordinator), Assoc. Prof. Dhanesh Ramachandram|
|Research Field||Data Visualization, Information Visualization, Knowledge Visualization, Computer Graphics, Visual Analytics & Virtual Environment|
|Lab||Knowledge And Language Engineering
|Research Field||Natural Language Processing, Automated Translation, Speech Recognition, Speech Synthesis, Semantic Web Search & Text Summarization, Health Informatics, Knowledge Management and Engineering & Data Mining|
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Last Update : 16/06/2015