User:Rohayanti Hassan

ROHAYANTI HASSAN

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Education

• 2006, MSc (Computer Science), Universiti Teknologi Malaysia.
• 2003, BSc (Computer Science), Universiti Teknologi Malaysia.

Rohayanti Hassan (an artistic interpretation)

Research Interest

• Protein Structure Prediction.
• Machine Learning.
• Computational Biology.
• Bio-Statistic.
• Path Planning.
• Virtual Environment.

Publications

• Othman R.M., Deris S., Illias R.M., Alashwal H.T., Hassan R., and Mohamed F. (2006). Incorporating Semantic Similarity Measure in Genetic Algorithm: An Approach for Searching the Gene Ontology Terms. Int'l Journal Computational Intelligence. 3(3): 257-266.
• Abdul-Latif M.S. and Hassan R. (2004). The Development of Virtual Exhibition Area for Implementation of Motion Planning. The 2nd Nat'l Conf. on Computer Graphics and Multimedia (CoGRAMM'04). Dec 8-10, Selangor, Malaysia.
• Widyarto S., Hassan R., Mat-Yusoff M.Z., and Abdul-Latif M.S. (2004). Implementation of Hajj Traffic Model in Virtual Environment. The 14th Int'l Conf. on Computer Theory and Applications (ICCTA'04). Sep 28-30, Alexandria, Egypt.
• Abdul-Latif M.S. and Hassan R. (2004). Optimal Path Planning Algorithm in Virtual Environment. The 2nd Int'l Conf. on Artificial Intelligence in Engineering and Technology (ICAIET'04). Aug 3-5, Sabah, Malaysia.
• Abdul-Latif M.S. and Hassan R. (2004). An Efficient Virtual Tour - A Merging of Path Planning and Optimization. The 7th Int'l Conf. on Work with Computing Systems (WWCS'04). Jun 29-Jul 2, Kuala Lumpur, Malaysia.
• Hassan R. and Mohd-Zain A. (2003). Analisa Faktor Pendorong dan Faktor Halangan ke Arah Pensijilan ISO 9000 di Malaysia. Nat'l Conf. on Management Science and Operations Research. Jun 24-25, Malacca, Malaysia.

Grants

• The Development of Clustering System for Protein Tertiary Structure Prediction Using Machine Learning Algorithms. Funded by Malaysian Ministry of Science, Technology, and Innovation (MOSTI) under ScienceFund. Grant no: 01-01-06-SF0436. Amount: MYR294,600. Duration: 18 months (Jan 2008 - Jun 2009).
• Symbolic Data Structures and Lumping Techniques Representation of Large Markov Models. Funded by Malaysian Ministry of Higher Education (MOHE) under Fundamental Research Grant Scheme. Grant no: 78185. Amount: MYR120,000. Duration: 24 months (Sep 2007 - Aug 2009).

Collaborators

• LKPP Corporation Sdn Bhd.
• ZILUN Systems Sdn Bhd.
• Strategi Tegas (M) Sdn Bhd.

Contact Info
Rohayanti Hassan
Laboratory of Computational Intelligence and Bioinformatics
Department of Software Engineering
Faculty of Computer Science and Information Systems
Universiti Teknologi Malaysia
81310 UTM Skudai, MALAYSIA

Tel/Fax: +607-55-99230
E-mail: rohayanti@utm.my