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.Worasak Rueangsirarak
Deputy Dean/ Lecturer
Tel: +66 (0) 5391 7198
E-mail: worasak.rue@mfu.ac.th
Education
- Ph.D. Knowledge Management, Chiang Mai University, Thailand
- M.Sc. Computer Science, Asian Institute of Technology, Thailand
- B.Sc. Computer Science, Mae Fah Luang University, Thailand
Speciallization
- Human Motion Analysis
- Applied Computing and AI
- Healthcare Technology
- Knowledge Engineering
- Knowledge Management
- Expert System
- Decision Support System
- Computer Graphic and Animation
- Computer Simulation and Visualization
- Geographic Information System
Awards/Publications
Awards
2016 - Scholarship: gLINK—Erasmus Mundus Action 2 project (funded by European Union)
Publications
Rachata, N., Rueangsirarak, W., Kamyod, C., Temdee, P. (2020). Fuzzy Near Compactness Based Personalized Recommendation for Preventing Patients with Type 2 Diabetes Mellitus and Hypertension from Cardiovascular Complication. Wireless Personal Communications.
Mekurai, C., Rueangsirarak, W., Kaewkaen, K., Uttama, S., Chaisricharoen, R. (2020). Impaired Balance Assessment in Older Adults with Muscle Weakness Caused by Stroke. ECTI Transactions on Computer and Information Technology (ECTI-CIT), 14(2), 103-112.
Chaiwut, K., Rueangsirarak, W., Chaisricharoen, R. (2019). Fault Identification Model for Student Loan Approval using Clustering Performance Indices with K-mean. The International Journal of Educational Organization and Leadership, 26(2), 21-36. doi:10.18848/2329-1656/CGP/v26i02/21-36.
Rachata, N., Rueangsirarak, W., & Kamyod, C., Temdee, P. (2019). Fuzzy based Risk Predictive Model for Cardiovascular Complication of Patient with Type 2 Diabetes Mellitus and Hypertension. ECTI Transactions on Computer and Information Technology (ECTI-CIT), 13(1), 49-58.
Kaewkaen, K., Uttama, S., Rueangsirarak, W., Kaewkaen, P. (2019). Test-retest Reliability of the Five Times Sit-to-Stand Test measured using the kinect in older adults. Journal of Associated Medical Sciences, 52(2), 139-145.
Kaewkaen, K., Uttama, S., Rueangsirarak, W., Puntumetakul, R., (2019). Validity and reliability of the Wii Balance Board for static balance assessment in healthy young adults. Malays J Med Sci. 26 (2), 118–125.
Chaiwut, K., Rueangsirarak, W., Chaisricharoen, R. (2019). Criteria Redesign for Student Loan Consideration Using Factor Analysis and Data Clustering Approach. ECTI Transactions on Computer and Information Technology (ECTI-CIT), 12(2), 153-164.
Rueangsirarak, W.. Zhang, J., Aslam, N., Ho, E. S. L., and Shum, H. P. H. (2018). Automatic Musculoskeletal and Neurological Disorder Diagnosis With Relative Joint Displacement From Human Gait, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26 (12), pp. 2387-2396.
Kaewkaen, K., Wongsamud, P., Ngaothanyaphat, J., Supawarapong, P., Uttama, S., Rueangsirarak, W., Chanabun, S., Kaewkaen, P. (2018). The Influence of Audio-Visual Cueing (Traffic Light) on Dual Task Walking in Healthy Older Adults and Older Adults with Balance Impairments, Malaysian Journal of Medical Sciences, 25 (1), 67-74.