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

 

Dr.Chayapol Kamyod

Dr.Chayapol Kamyod

Lecturer in Computer Engineering Program

Tel: +66 (0) 5391 6746
E-mail: chayapol.kam@mfu.ac.th

Education

  • Ph.D.        Wireless Communication and Computer Network, Aalborg University, Denmark
  • M.Eng.      Electrical Engineering, The City College of New York, USA
  • M.Sc.        Laser Technology and Photonics, Suranaree University of Technology, Thailand
  • B.Eng.      Telecommunication Engineering, Suranaree University of Technology, Thailand
Speciallization

  • Computer Network and System
  • Wireless Sensor Networks
  • Embedded Technology
  • IoT Application
Awards/Publications

C. Kamyod, "Reliability Analysis of The Smart Farm System: A Case Study of Small and Medium-Sized Farm-Thailand," in 2019 Global Wireless Summit (GWS), 2019, Lisbon, Protugal Nov. 24-27, 2019.

S. Dawilai, C. Kamyod, and R. Prasad, "Effectiveness Comparison of the Traditional Problem-Based Learning and the Proposed Problem-Based Blended Learning in Creative Writing: A Case Study in Thailand," Wirel.
Pers. Commun., Aug. 2019.

N. Rachata, W. Rueangsirarak, C. Kamyod, and P. Temdee, "Fuzzybased Risk Predictive Model for Cardiovascular Complication of Patient with Type 2 Diabetes Mellitus and Hypertension," ECTI Trans. Comput.
Inf. Technol. ECTI-CIT, vol. 13, no. 1, pp. 41-50, 2019.

W. Intayoad, C. Kamyod, and P. Temdee, "Synthetic Minority Over-Sampling for Improving Imbalanced Data in Educational Web Usage Mining," ECTI Trans. Comput. Inf. Technol. ECTI-CIT, vol. 12, no.2, pp. 118-129, 2018

C. Kamyod, "End-to-end reliability analysis of an lot based smart agriculture," in 2018 International Conference on Digital Arts, Media and Technology (ICDAMT), Phayao, 2018, pp. 258-261.

C. Kamyod, "Low-Cost Falling Detection System," in 2018 15th International Conference on Electrical Engineering Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2018, pp. 784-787.

W. Intayoad, C. Kamyod, and P. Temdee, "Process mining application for discovering student learning paths," in 2018 International Conference on Digital Arts, Media and Technology (ICDAMT), Phayao, 2018, pp. 220-224

W. Intayoad, C. Kamyod, and P. Temdee, “Reinforcement Learning for Online Learning Recommendation System," in 2018 Global Wireless Summit (GWS), 2018, pp. 167–170.

A. Thanapud, C. Kamyod, R. Chaisricharoen, and T. Yooyatiwong, "Development and Improvement of Scientific Experimental Skills Through Inquiry-Based Learning via Digital Technology: A Case Study of Grade Eight Students in Thailand," in 2018 Global Wireless Summit (GWS), 2018, pp. 176-180.

 

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