Ir. Dr. Wong Wei Kitt

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PhD, MEng, BEng 

Program Coordinator (BEng(EP))Lecturer | Department of Electrical & Computer Engineering

Contact Details Telephone: +60 85 443939 Extn: 2495 Fax: +60 85 443837 Location: SK3-305 Email: weikitt.w@curtin.edu.my

Wong Wei Kitt received his Ph.D from Universiti Malaysia Sabah in 2016. Prior to involvement in the academia, he was working as an Engineer in the area of Electrical engineering and Telecommunication.

Academic History

  • Doctor of Philosophy, Universiti Malaysia, Sabah, 2016.
  • Master of Engineering, Universiti Malaysia, Sabah, 2006.
  • Bachelor of Engineering, Universiti Malaysia, Sabah, 2006.

Research Interests

  • Artificial Intelligence
  • Mobile robotics
  • Image processing

Publications

Journal Papers

  • W. K. Wong, Ali Chekima, Muralindran Mariappan, Choo Chee Wee, Brendan Khoo, Manimehala Nadarajan. Genetic Algorithm Optimization and Feature Selection for a Support Vector Machine Weed Recognition System in Malaysia at Critical Stage of Development, World Applied Sciences Journal, Volume 30 (12), 2014: pp. 1953-1959.
  • Anna Felicia, Sabariah Sharif, W. K. Wong, Muralindran Mariappan, Innovation of Assistive Technologies in Special Education: A Review, International Journal of Enhanced Research in Educational Development (IJERED) , Volume 2, Issue 3, May-June 2014: pp. 25-38.
  • W. K. Wong, Muralindran Mariappan, Ali Chekima, Brendan Khoo, Manimehala Nadarajan, Choo C. W.Detection of Amaranthus Palmer sp. Seedlings in Vegetable Farms Methods Using Genetic Algorithm optimized Support Vector Machine, Applied Mechanics & Material (AMM),Vol. 666 (2014) pp. 267-271.
  • W. K. Wong, Ali Chekima, Muralindran Mariappan, Brendan Khoo, Manimehala Nadarajan. Genetic Algorithm Tuned SVM Classifier for Weed Species Recognition, International Journal of Computer Science Trends and Technology (IJCST),Volume 2, Issue 4, July – August 2014 pp. 24-30.
  • W. K. Wong, Muralindran Mariappan, Ali Chekima, Manimehala Nadarajan, Brendan Khoo. Genetic Algorithm Fine Tuning of Support Vector Data Descriptor (SVDD) for Classification of Monocotyledon and Dicotyledon Weeds. International Journal of Enhanced Research in Science, Technology and Engineering (IJERSTE), Volume 3, Issue 7, August 2014 pp. 201-205 .
  • W. K. Wong, Chekima Ali, Khoo Brandon, Choo Chee Wee, Muralindran Mariappan. Co-occurrence Matrix with Neural Network Classifier for Weed Species Classification: A Comparison between Direct Application of Co-occurrence matrix (GLCM) and Haralick Features as Inputs, International Journal of Enhanced Research in Science Technology & Engineering, Volume 2, Issue 2, 2013: pp. 1-8.
  • W. K. Wong, Ali Chekima, Choo Chee Wee, Khoo Brendan and Muralindran Mariappan, Modular-based classification system for weed classification using mixture of features, International Journal of Computational Vision and Robotic (IJCVR), Volume 3(4), 2013: pp. 261-278.
  • WK Wong, Muralindran Mariappan, and Ali Chekima, ‘Design and Comparative Study of Genetic Algorithm optimised SVM (Support Vector Machines) configurations to classify crop /weed using shape /colour features’, International Journal of Computer Science and Electronics Engineering (IJCSEE) Volume 3, Issue 2 (2015).pp:154-158

Conference Papers

  • W. K. Wong, Muralindran Mariappan, Ali Chekima, Brendan Khoo, Manimehala Nadarajan, Choo C. W.Detection of Amaranthus Palmer sp. Seedlings in Vegetable Farms Using Genetic Algorithm optimized Support Vector Machine, The 3rd International Conference on Electronics, Mechatronics and Automation (ICEMA 2014), Dubai, UAE, 22-23 August 2014.
  • W. K. Wong, Ali Chekima, Muralindran Mariappan, Manimehala Nadarajan, Brendan Khoo. Probabilistic Multi SVM Weed Species Classification for Weed Scouting and Selective Spot Weeding, 2014 International Symposium on Robotics and Manufacturing Automation (IEEE ROMA 2014), Kuala Lumpur, Malaysia, 15-16 December 2014.
  • W. K. Wong, Ali Chekima, Othman Bin Ahmad, Muralindran Mariappan, Farrah Wong and Jamal Dhargam,Genetic Algorithm Feature Selection and Classifier Optimization Using Moment Invariants, Shape Features, 1st International Conference on Artificial Intelligence, Modelling & Simulation (AIMS 2013), Kota Kinabalu, Malaysia, 3-5 December 2013.
  • W. K. Wong, Ali Chekima, Cho C. W., Farrah Wong and Muralindran Mariappan, Classifier Development for Malaysian Weed Recognition Using a Combination of Shape Descriptors, Fractal Dimensions and Haralick Features with Complementary Back Propagation Neural Network (CMTNN), 2nd International Conference on SMART Media and Applications, Kota Kinabalu, Malaysia, 2013.

Exibitions

  • Universiti Malaysia Sabah PEREKA Innovation and Research Competition 2011. Silver medal. ”Autonomous Airship using soft computing controls”.
  • Malaysia Technology expo 2012.Bronze medal. ” Autonomous Airship using soft computing controls”.
  • Universiti Malaysia Sabah PEREKA Innovation and Research Competition 2013. Silver medal. Image processing system for weed scouting and spot weeding.
  • Universiti Malaysia Sabah PEREKA Innovation and Research Competition 2014. Gold medal. Image processing system for weed scouting and spot weeding.
  • Itex 2015. Image processing system for weed scouting and spot weeding. Silver medal.

Professional Associations

  • Member of the Institute Of Engineers Malaysia (IEM).
  • Board of Engineers Malaysia (BEM).

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