Academic Department Faculty of Engineering University

Faculty Members

Computer Engineering

ศาสตราจารย์ ดร.ณชล ไชยรัตนะ

Education
  • Doctor of Philosophy in Control Engineering, University of Sheffield, United Kingdom, 1999
  • Bachelor of Engineering (Class One Honours) in Control Engineering, University of Sheffield, United Kingdom, 1995

Email: nachol.c [at] eng [dot] kmutnb [dot] ac [dot] th
Research Interests
Machine Learning
Genetic Epidemiology
Bioinformatics
Prof. Dr. Nachol Chaiyaratana is currently a professor of electrical engineering with the Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Thailand. He is also an adjunct staff with the Division of Molecular Genetics, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand. His research interests include bioinformatics, evolutionary computation, and machine learning. His works on genome-wide association studies led to the identification of genetic markers in PARK2 (parkin RBR E3 ubiquitin protein ligase) that are associated with type 2 diabetes mellitus in the UK population. It was recently confirmed that Parkin plays a role in providing an alternative explanation for the etiology of type 2 diabetes mellitus.
  • Book
  • Journal Papers
  • Conference Papers
  • Awards
  • Activities
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  1. Aporntewan, C., Chongstitvatana, P. and Chaiyaratana, N. (2016). Indexing simple graphs by means of the resistance distance. IEEE Access, 4, 5570–5578.
  2. Aporntewan, C., Pin-on, P., Chaiyaratana, N., Pongpanich, M., Boonyaratanakornkit, V. and Mutirangura, A. (2013). Upstream mononucleotide A-repeats play a cis-regulatory role in mammals through the DICER1 and Ago proteins. Nucleic Acids Research, 41(19) 8872-8885.
  3. Setsirichok, D., Tienboon, P., Jaroonruang, N., Kittichaijoroen, S., Wongseree, W., Piroonratana, T., Usavanarong, T., Limwongse, C., Aporntewan, C., Phadoongsidhi, M. and Chaiyaratana, N. (2013). An omnibus permutation test on ensembles of two-locus analyses can detect pure epistasis and genetic heterogeneity in genome-wide association studies. SpringerPlus, 2, 230.
  4. Setsirichok, D., Piroonratana, T., Assawamakin, A., Usavanarong, T., Limwongse, C., Wongseree, W., Aporntewan, C. and Chaiyaratana, N. (2012). Small ancestry informative marker panels for complete classification between the original four HapMap populations. International Journal of Data Mining and Bioinformatics, 6(6), 651-674.
  5. Setsirichok, D., Piroonratana, T., Wongseree, W., Usavanarong, T., Paulkhaolarn, N., Kanjanakorn, C., Sirikong, M., Limwongse, C. and Chaiyaratana, N. (2012). Classification of complete blood count and haemoglobin typing data by a C4.5 decision tree, a naïve Bayes classifier and a multilayer perceptron for thalassaemia screening. Biomedical Signal Processing and Control, 7(2), 202-212.
  6. Piroonratana, T., Wongseree, W., Assawamakin, A., Paulkhaolarn, N., Kanjanakorn, C., Sirikong, M., Thongnoppakhun, W., Limwongse, C. and Chaiyaratana, N. (2009). Classification of haemoglobin typing chromatograms by neural networks and decision trees for thalassaemia screening. Chemometrics and Intelligent Laboratory Systems, 99(2), 101-110.
  7. Wongseree, W., Assawamakin, A., Piroonratana, T., Sinsomros, S., Limwongse, C. and Chaiyaratana, N. (2009). Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses. BMC Bioinformatics, 10, 294.
  8. Assawamakin, A., Chaiyaratana, N., Limwongse, C., Sinsomros, S., Yenchitsomanus, P.-T. and Youngkong, P. (2009). Variable-length haplotype construction for gene-gene interaction studies. IEEE Engineering in Medicine and Biology Magazine, 28(4), 25-31.
  1. Piroonratana, T., Wongseree, W., Usavanarong, T., Assawamakin, A., Limwongse, C. and Chaiyaratana, N. (2010). Identification of ancestry informative markers from chromosome-wide single nucleotide polymorphisms using symmetrical uncertainty ranking. The 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2448-2451.
  2. Wongseree, W., Assawamakin, A., Piroonratana, T., Sinsomros, S., Limwongse, C. and Chaiyaratana, N. (2009). An omnibus permutation test on ensembles of two-locus analyses for the detection of purely epistatic multi-locus interactions. The 16th International Conference on Neural Information Processing, Bangkok, Thailand, 493-502.
  3. Supudomchok, S., Chaiyaratana, N. and Phalakornkule, C. (2008). Co-operative co-evolutionary approach for flux balance in Bacillus subtilis. 2008 IEEE World Congress on Computational Intelligence – 2008 IEEE Congress on Evolutionary Computation, Hong Kong, China, 1226-1231.
  4. Ponsawat, J., Punyaporn, W., Chaiyaratana, N. and Chongstitvatana, P. (2007). Solving multi-objective problems with building blocks identification. 2007 International Symposium on Communications and Information Technologies, Sydney, Australia, 1540-1545.
  5. Pattananupong, U., Tongpadungrod, P. and Chaiyaratana, N. (2007). Genetic programming and neural networks as interpreters for a distributive tactile sensing system. 2007 IEEE Congress on Evolutionary Computation, Singapore, 4027-4034.
  6. Kulvanit, P., Chaiyaratana, N. and Laowattana, D. (2007). Biped fast walking gait shaping via evolutionary multi-objective optimization. 2007 IEEE Congress on Evolutionary Computation, Singapore, 4019-4026.
  7. Boonlong, K., Maneeratana, K. and Chaiyaratana, N. (2006). Determination of erroneous velocity vectors by co-operative co-evolutionary genetic algorithms. 2006 IEEE International Conference on Cybernetics and Intelligent Systems, Bangkok, Thailand, 481-486.
  8. Sangkawelert, N. and Chaiyaratana, N. (2003). Diversity control in a multi-objective genetic algorithm. 2003 Congress on Evolutionary Computation, Canberra, Australia, 2704-2711.
  9. Meksangsouy, P. and Chaiyaratana, N. (2003). DNA fragment assembly using an ant colony system algorithm. 2003 Congress on Evolutionary Computation, Canberra, Australia, 1756-1763.
  10. Wongseree, W. and Chaiyaratana, N. (2003). Thalassemic patient classification using a neural network and genetic programming. 2003 IEEE International Conference on Systems, Man, and Cybernetics, Washington, DC, 2926-2931.
  11. Maksuriwong, K., Varavithya, V. and Chaiyaratana, N. (2003). Wireless LAN access point placement using a multi-objective genetic algorithm. 2003 IEEE International Conference on Systems, Man, and Cybernetics, Washington, DC, 1944-1949.
  12. Jaidormrong, J., Chaiyaratana, N. and Hassamontr, J. (2003). Software tool development for marker making operations in textile industry. 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, Kobe; Japan, 2, 503-508.
  13. Cherdchoosilpa, S., Kuntanapreeda, S. and Chaiyaratana, N. (2002). MIMO controller design for a parallel manipulator system: A practitioner’s approach. 2002 IEEE International Conference on Industrial Technology, Bangkok, Thailand, 3, 673-677.
  14. Boonlong, K., Chaiyaratana N. and Kuntanapreeda, S. (2002). Time optimal and time-energy optimal control of a satellite attitude using genetic algorithms. 2002 ASME International Mechanical Engineering Congress and Exposition, New Orleans, LA, DSC-33436/1-8.
  15. Weerayuth, N. and Chaiyaratana N. (2002). Closed-loop time-optimal path planning using a multi-objective diversity control oriented genetic algorithm. 2002 IEEE International Conference on Systems, Man, and Cybernetics, Hammamet, Tunisia, WA2G4/1-7.
  16. Boonlong, K., Chaiyaratana N. and Kuntanapreeda, S. (2002). Using a co-operative co-evolutionary genetic algorithm to solve optimal control problems in a hysteresis system. 2002 World Congress on Computational Intelligence – 2002 Congress on Evolutionary Computation, Honolulu, HI, 2, 1504-1509.
  17. Chaiyaratana, N. and Zalzala, A. M. S. (2001). Time-optimal path planning and control using neural networks and a genetic algorithm. 2001 ASME International Mechanical Engineering Congress and Exposition, New York, NY, DSC24512/1-8.
  18. Chaiyaratana N. and Boonlong, K. (2001). Further investigations on friction compensation using a neuro-genetic based hybrid framework. Joint 9th IFSA World Congress and 20th NAFIPS International Conference. Fuzziness and Soft Computing in the New Millennium, Vancouver, Canada, 2772-2777.
  19. Pimpawat, C. and Chaiyaratana, N. (2001). Using a co-operative co-evolutionary genetic algorithm to solve a three-dimensional container loading problem. 2001 Congress on Evolutionary Computation (CEC’2001), Seoul, Korea, 2, 1197-1204.
  20. Chaiyaratana, N. and Zalzala, A. M. S. (2000). Hybridisation of neural networks and genetic algorithms for on-line trajectory planning. UKACC International Conference on Control 2000, Cambridge, UK, paper number 175.
  21. Zalzala, A. M. S. and Chaiyaratana, N. (2000). Myoelectric signal classification using evolutionary hybrid RBF-MLP networks. 2000 Congress on Evolutionary Computation (CEC’2000), San Diego, CA, 2, 691-698.
  22. Chaiyaratana, N. and Zalzala, A. M. S. (2000). Hybridisation of neural networks and a genetic algorithm for friction compensation. 2000 Congress on Evolutionary Computation (CEC’2000), San Diego, CA, 1, 22-29.
  23. Chaiyaratana, N. and Zalzala, A. M. S. (2000). An application of neural network controllers in closed-loop time-optimal control. Regional Symposium on Quality and Automation (RESQUA’2000), Penang, Malaysia, 223-230.
  24. Chaiyaratana, N. and Zalzala, A. M. S. (1999). Friction compensation using neural networks and genetic algorithm. The Second International Workshop and Conference on Climbing and Walking Robots (CLAWAR'99), Portsmouth, UK, 279-291.
  25. Chaiyaratana, N. and Zalzala, A. M. S. (1999). Hybridisation of neural networks and genetic algorithms for time-optimal control. 1999 Congress on Evolutionary Computation (CEC’99), Washington, DC, 1, 389-396.
  26. Chaiyaratana, N. and Zalzala, A. M. S. (1998). Evolving hybrid RBF-MLP networks using combined genetic/unsupervised/supervised learning. UKACC International Conference on Control'98, Swansea, UK, IEE Publication 455, 1, 330-335.
  27. Chaiyaratana, N. and Zalzala, A. M. S. (1997). Recent developments in evolutionary and genetic algorithms: Theory and applications. The Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), Glasgow, UK, 270-277.
  28. Chaiyaratana, N. and Zalzala, A. M. S. (1996). Multilayer perceptron and radial-basis function networks application on myoelectric signal pattern recognition. The Second International Conference on Neural Networks and Expert Systems in Medicine and Healthcare (NNESMED'96), Plymouth, UK, 172-179.
  29. Chaiyaratana, N., Zalzala, A. M. S. and Datta, D. (1996). Myoelectric signals pattern recognition for intelligent functional operation of upper-limb prosthesis. The First European Conference on Disability, Virtual Reality and Associated Technologies (ECDVRAT'96), Maidenhead, UK, 151-160.
  30. Tokhi, M. O., Chaiyaratana, N. and Azad, A. K. M. (1996). On-line modelling of flexural dynamics of flexible manipulator systems. 1996 International Congress on Noise Control (Inter-Noise'96), Liverpool, UK, 1243-1246.
  • (2011) TRF-CHE-Scopus Researcher Award (for Achievement in Engineering and Multidisciplinary Technology)
  • (1996-1998) Overseas Research Students Award (given by the Committee of Vice-Chancellors and Principals of the Universities of the United Kingdom)
  • (1993) Sir Harold West Award (for Achievement in Control Engineering)
  • (1995) Mappin Medal and Premium in Automatic Control and Systems Engineering
  • Member of the Institution of Engineering and Technology (IET), UK
  • Member of the Institute of Electronic and Electrical Engineers (IEEE), USA
  • Member of the Thai Academy of Science and Technology Foundation (TAST), Thailand

Teaching Subjects

Artificial Intelligence

Bioinformatics

Algorithms

Discrete Mathematics