Human health-related data are being generated daily with modern-day technological advancements. Trends of interest in health promotion, coupled with an ever more possible and accessible health data collection, have guided us to spot new opportunities in Thais health promotion throughout varying age ranges, using technology.
Our projects range from data engineering for longitudinal study to personalised decision support systems in healthcare, such as the food recommendation system for optimal nutrient intake, and the children’s health screening system for proper physical development. HBA focuses on researching technologies for integrating, managing, processing, and analysing health and human behaviour data.
We aim to advance our technologies in order to respond to our healthcare alliance’s technological request for support and improve the healthcare of Thai people both individually and nationally. As part of NECTEC’s Assistive Technology and Medical Devices Research Group (A-MED), HBA contributes its expertise in human behaviour analytics and data-driven technologies to support broader research and innovation in health and wellbeing.
สารบัญ
Vision
To promote the good health for Thai people through data innovation
Mission
- Create a platform for monitoring Thai health and lifestyle information
- Collaborate and create research networks both domestically and internationally in order to build on the knowledge about health monitoring and predicting technology
- Develop the skills of personnel in health promotion and transfer knowledge to the general public
Core Technology
- Predictive Health and Lifestyle Analytics
- Human Behaviour Analysis
- Optimisation and Data Mining
- Recommendation Systems
- Blockchain-based Traceability Systems
- Health and Wellness Analytics Platform
- Human-Computer Interaction
Renown Projects
- SizeThailand : The Standard Sizes of Thai People Measured Using 3D Technology
- FoodiEat : a Mobile Application for Recording and Analyzing Dietary Habits and Exercises for Thai People
- Thai School Lunch: a Recommendation System for Lunch Planning in Thai School System
- KidDiary: a Growth Diary Application for Health Screening of Children Physical Development
- REMI: a Telemedicine and Digital Health System for Supporting Antenatal Care
- Intelligent Food Surplus Management for Thailand’s National Food Bank
- Digital Food Traceability and Trusted Data Systems
- Durian Trace: a Cross-Border Digital Traceability System for the Thai Durian Supply Chain
Members & Expertise
Research Team Leader
- Suporn Pongnumkul, Ph.D. — Research Team Leader (Lab Lead)
Human-Computer Interaction, Human Behaviour Analytics, Digital Health, Blockchain, Digital Trust and Traceability
Email: suporn.pon@nectec.or.th
Research Profiles: Google Scholar | ORCID 0000-0001-9515-0914
Research Team Members
- Nantaporn Ratisoontorn, Ph.D. : Mathematical Modeling and Optimisation, Game Theory, Stochastic Processes and Applied Statistics
- Apatha Peethong : UX/UI, 3D Visualisation
- Parut Bunporn : Web Development, Data Processing, Database Management, Data Analytics
- Pongsak Tiyanunti : Web Development, Geographic Information System, Data Analytics, Database Management
- Korawat Phonyiam : Data Analytics
- Piyawan Thongploy : Web Development, Chatbot Development
HBA is part of the Assistive Technology and Medical Devices Research Group (A-MED), led by Dr. Supiya Charoensiriwath. Dr. Supiya provides research-group leadership, leads and contributes to several research initiatives involving HBA researchers.
Selected Publications
- Thongploy, P., Phonyiam, K., Chaovalit, P., Pongnumkul, S., Charoensiriwath, S., Charoensiriwath, C., & Somprasit, C. (2026). REMI: A Telemedicine System for Antenatal Care – Development and Feasibility Study. 2026 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 714–719.
- Tharatipyakul, A., Srikaewsiew, T., & Pongnumkul, S. (2024). Deep learning-based human body pose estimation in providing feedback for physical movement: A review. Heliyon, 10(17), e36589.
- Tharatipyakul, A., Pongnumkul, S., Riansumrit, N., Kingchan, S., & Pongnumkul, S. (2022). Blockchain-Based Traceability System From the Users’ Perspective: A Case Study of Thai Coffee Supply Chain. IEEE Access, 10, 98783–98802..
- Puraram, T., Chaovalit, P., Peethong, A., Tiyanunti, P., Charoensiriwath, S., & Kimpan, W. (2021). Thai food recommendation system using hybrid of particle swarm optimization and K-means algorithm. In Proceedings of the 2021 6th International Conference on Machine Learning Technologies (pp. 90-95).
Contact
Suporn Pongnumkul, Ph.D
Human Behaviour Analytics Research Team (HBA)
Assistive Technology and Medical Devices Research Group (A-MED)
National Electronics and Computer Technology Center (NECTEC)
Email: suporn.pon@nectec.or.th
Tel.: (+66) 2-564-6900 ext. 72291, 2541