Dr Hishammuddin Asmuni
Senior Lecturer
Department of Software Engineering.
Universiti Teknologi Malaysia
Malaysia
Biography
EDUCATION & QUALIFICATION May 2008 : University of Nottingham, United Kingdom Ph.D. (Computer Science) Thesis title: “Fuzzy Methodologies for Automated University Timetabling Solution Construction and Evaluation” 1999 : Universiti Teknologi Malaysia, Skudai, Johor, Malaysia. M.Sc. (Software Engineering) 1996 : Universiti Malaya, Kuala Lumpur, Malaysia B.Sc. (Computer Science) WORK EXPERIENCES March 2009 †present Senior Lecturer, Universiti Teknologi Malaysia April 1999 †Feb 2009 Lecturer, Universiti Teknologi Malaysia Jun 1997 – March 1999 Tutor, Universiti Teknologi Malaysia Nov 1996 – Feb. 1997 Information System Officer, Public Service Department, Kuala Lumpur, Malaysia. March 1996 – Oct 1996 Software Engineer, Satellite Telemetry Sdn Bhd, Kuala Lumpur. -Involved in the development of shipping management system for Malaysia International Shipping Corporation (MISC).
Research Interest
University Timetabling Optimization Problem Iris Biometrics Software Testing
Publications
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Development of a Scalable Parser for Extracting Artifacts during Model-Based Test Case Generation Process. International Journal of Software Engineering and Technology [non-indexed journal] 1(2): 43 – 50. [full paper]
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A low lighting or contrast ratio visible iris recognition using iso-contrast limited adaptive histogram equalization. Knowledge-Based Systems [Elsevier; impact factor 2013 : 3.058] 74: 40-48 DOI:http://dx.doi.org/10.1016/j.knosys.2014.11.002
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A modified migrating bird optimization for university course timetabling problem. Jurnal Teknologi [SCOPUS indexed] 72(1): 89 – 96. [full paper]
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A Hybrid Swarm Based Approach to University Timetabling. IEEE Transactions on Evolutionary Computation [Impact factor 2014: 3.654] 19(6): 870 – 884. doi: 1109/TEVC.2015.2411741
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Frame detection using gradients fuzzy logic and morphological processing for distant color eye images in an intelligent iris recognition system. Applied Soft Computing [Impact factor 2014: 2.81] 37: 361 – 381. doi: 10.1016/j.asoc.2015.08.035
