About Me
I am an ISPF TTHER Research Fellow / Postdoctoral Researcher at Edinburgh Napier University (ENU), United Kingdom, from April 2026 to March 2027. I am also a lecturer at the International College of Digital Innovation (ICDI) at Chiang Mai University. I hold a PhD in Pure Mathematics and am currently applying my expertise in advanced mathematics to the fields of data analytics and artificial intelligence.
Tech Stack & Tools
Research Focus & Fellowship
My research bridges mathematics, computer science, and healthcare, focusing on Artificial Intelligence, Machine Learning, Data Analytics, and Digital Health.
During my fellowship at ENU, I am developing research on the application of artificial intelligence and data-driven technologies in healthcare. My interests span health data analytics, intelligent health monitoring, clinical and healthcare decision support, wearable and sensor-based technologies, and AI-enabled digital health solutions. My work explores how advanced computational methods can be used to improve the understanding, monitoring, prediction, and management of health and wellbeing.
Experience & Education
Experience
ISPF TTHER Research Fellow / Postdoctoral Researcher
Edinburgh Napier University, UK
Lecturer
International College of Digital Innovation (ICDI), Chiang Mai University, Thailand
Teaching Assistant
University of Houston, TX, USA
Education
Ph.D. in Mathematics
University of Houston, USA
M.Sc. in Mathematics
Chulalongkorn University, Thailand
B.Sc. in Mathematics (Minor in Computer Science)
Chiang Mai University, Thailand
Teaching
Guided by my love for Pure Math, I delve into the world of DATA through teaching. My journey from a TA at the University of Houston to a faculty member at CMU has seen me cover subjects including Calculus, Social Networks, Big Data, and Digital Tools.
A1 : Active classroom
practitioner Level 1Awarded: 2 Apr 2024
Awarded To: อาจารย์ ดร.วรวิทย์ เทพแสน
D1 : Technology-rich
Learning Designer Level 1Awarded: 2 Apr 2024
Awarded To: อาจารย์ ดร.วรวิทย์ เทพแสน
Year 2026
Active Courses
Inactive Courses
Playground & Projects
Woundwise: Measure Pressure Injury & Care Giver System
AI-Enabled Falls Prevention Devices for Elderly
PrEP AI Recommendation
Data HackAnalysis of HIV Related Services in a Major Cities of Thailand
Bot BuilderDiToo Chat(GPT)bot for Immediate Feedback
Vision HackHuman Action Recognition: ROI-Approaches
Geo DataAdjacency and Distance Matrix of Thailand and Growth Pole Analysis
Research Metrics (Scopus, July 2026)
15
Documents
5
h-index
362
Citations
Publications
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Phiphatkunarnon P, Kitro A, Suksatit B, Neo B-L, Tran D, Tepsan W. A Health Informatics Framework for Integrating Machine Learning and Generative AI in HIV Risk Stratification and Personalized PrEP Recommendation. Informatics. 2026;13(7):103.
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Ran X, Suyaroj N, Tepsan W, Lei M, Ma H, Zhou X, Deng W. A novel fuzzy system-based genetic algorithm for trajectory segment generation in urban global positioning system. Journal of Advanced Research. 2025.
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Han F, Tepsan W. Food live streaming e-commerce in China: enhancing consumer purchase intentions through sensory marketing. British Food Journal. 2026;128(1):255-273.
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Han F, Tepsan W. The impact of streamer social presence and professionalism on food live streaming purchase intention: a model of moderated mediation. Asia Pacific Journal of Marketing and Logistics. 2025.
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Tepsan W, Phaphuangwittayakul A, Sokantika S, Harnpornchai N. Identifying hubs through influential nodes in transportation network by using a gravity centrality approach. Algorithms. 2025;18(6):356.
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Phiphatkunarnon P, Phanuphak N, Janamnuaysook R, et al. Comprehensive analysis and leveraging online innovations to improve HIV and STI prevention and treatment services in major cities of Thailand. AIDS Behav. 2025;29(7):2543-2553.
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Lueangwitchajaroen P, Watcharapinchai S, Tepsan W, Sooksatra S. Multi-level feature fusion in CNN-based human action recognition: a case study on EfficientNet-B7. Journal of Imaging. 2024;10(12):320.
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Tepsan W, Sooksatra S, Lueangwitchajaroen P, Watcharapinchai S. Adaptive body part ROI with triple stream approach for human action recognition. 21st International Joint Conference on Computer Science and Software Engineering (JCSSE); 2024. p. 79-85.
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Shu H, Dawod AY, Tepsan W, Mou L, Tang Z. Multi-channel microseismic signals classification with convolutional neural networks. IAES International Journal of Artificial Intelligence. 2024;13(1):1038-1049.
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Shu H, Dawod AY, Mu L, Tepsan W. A survey of machine learning applications in microseismic signal recognition and classification. 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). 2023. p. 18-23.
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Ran X, Zhou X, Lei M, Tepsan W, Deng W. A novel K-means clustering algorithm with a noise algorithm for capturing urban hotspots. Applied Sciences. 2021;11(23):11202.
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Blecher DP, Tepsan W. Real operator algebras and real positive maps. Integral Equations and Operator Theory. 2021;93(5):49.