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School of Information Technology

The School focuses on research in a broad range of ICT applications including: learning, business, agriculture, health and medicine. With particular interest in high impact and practical research, major research topics include: PBL, information engineering, AI, assistive technology for the elderly and the disabled, cloud services, ambient intelligence, embedded systems, and social network integration.



List of All Study Programmes

  • Bachelor’s Degree
    • Computer Engineering
    • Digital and Communication Engineering
    • Digital Technology for Business Innovation
    • Multimedia Technology and Animation
    • Software Engineering
    • Computer Science and Innovation
  • Master’s Degree
    • Computer Engineering
    • Digital Transformation Technology
  • Doctoral Degree
    • Computer Engineering

 

Asst. Prof. Dr.Suppakarn Chansareewittaya

Asst. Prof. Dr.Suppakarn Chansareewittaya

Lecturer

Tel: +66 (0) 5391 7199
E-mail: suppakarn.cha@mfu.ac.th

Education

  • Ph.D.        Electrical Engineering, Chiang Mai University, Thailand
  • M.Eng.      Electrical Engineering, Chiang Mai University, Thailand
  • B.Eng.      Electrical Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Speciallization

  • Optimization in Power Systems
  • Optimization Methods and Applications
  • Modern Heuristics Methods and Applications
  • Bio-Inspired Method and Applications
  • Applications of Power Systems
  • Applications of Power Electronics
  • Internet of Things
  • Artificial Intelligence
  • Computational Intelligence
  • Robotics & Automation Systems
  • Smart Farmings
Awards/Publications

S. Chansareewittaya, “Economic Dispatch Using Modified Hybrid BA/ATS,” ECTI Transactions on Computer and Information Technology (ECTI-CIT) 14 (1), 30-36, 2020. (Indexed by Scopus)

S. Chansareewittaya, “Optimal Power Flow for Enhance TTC with Optimal Number of SVC by using Improved Hybrid TSSA,” ECTI Transactions on Computer and Information Technology (ECTI-CIT) 13 (1), 9-20, 2019. (Indexed by Scopus)

S. Chansareewittaya, “Hybrid MODE/TS for Environmental Dispatch and Economic Dispatch,” ECTI Transactions on Electrical Engineering, Electronics, and Communications (ECTI-EEC) 17 (1), 78-86, 2019. (SJR 2018 = 0.118)

Contact School


School of Information Technology

Mae Fah Luang University

333 Moo1, Thasud, Muang, Chiang Rai 57100
0 5391 6741
0 5391 6743
itschool@mfu.ac.th
http://itschool1.mfu.ac.th