Wednesday, 10 August 2011

UKM is working on six Artificial Intelligence projects

PUTRAJAYA, 28 June 2011 – Preserving old Malay manuscripts through a home-grown software called JawiWare and developing a medical data mining system are just a couple of the projects UKM researchers are involved in as the country’s premier research university strives to make its mark in the rapidly-advancing world of Artificial Intelligence (AI).


Among other
current research projects are on Fuzzy Tabu-based Optimisation for Job Shop Scheduling, University Timetabling, Malaysia Medical Data Repository, and MYNDA: A Data Mining Application Generator.


UKM Vice-Chancellor Prof. Tan Sri Dato' Wira Dr. Sharifah Hapsah Syed Hasan Shahabudin listed them when she
opened the 1st International Multi-Conference on Artificial Intelligence Technology (M-CAIT 2011) here, which was organised by the Centre for Artificial Intelligence Technology (CAIT) at UKM’s Faculty of Information Science and Technology.


The
three research groups at CAIT -- the Pattern Recognition Research Group (PR), the Data Mining and Optimisation Research Group (DMO) and the Knowledge Technology Research Group (KT) -- combined three conferences into one.


These are the International Conference on Pattern Analysis and Intelligent Robotic (ICPAIR 2011), the 3rd Conference on Data Mining and Optimisation (DMO11) and the 1st International Conference on Semantic Technology and Information Retrieval (STAIR2011).


Prof. Tan Sri Sharifah Hapsah hoped that a sharing of ideas among  researchers, developers and practitioners at the multi-conference will not only disseminate state-of-the-art knowledge about Artificial Intelligence but will also help the three main research groups at CAIT to refine their application of AI techniques and methods to support various disciplines through research, teaching and consultancy.


With ICT being one of UKM’s niche research areas, she said the conference allows the researchers to exhibit UKM’s strengths in existing and new areas of ICT, specifically in Artificial Intelligence.


“At the same time we want to learn from the expressiveness and complexity of Artificial Intelligence technology for the benefit of the people whose lives can be enhanced by them,” she added.

 

Stressing that the research/innovation interface is very important to the university, Prof. Tan Sri Sharifah Hapsah said UKM has engaged vigorously with initiatives to develop a vibrant and sustainable R&D portfolio.

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