About Me
My name is Worawit Tepsan, and I am 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 mathematics to the field of data analytics.
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 including Calculus, Social Networks, Big Data, and Digital Tool.
Research Focus
My research bridges mathematics and computer science, focusing on Data Analytics, Machine Learning, and Applied Mathematics.
Teaching
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
Semester 2024/1
- 888102 Big Data for Business
- 888212 Fundamental Digital Tools for Entrepreneurs
- 888455 Blockchain Security Design for Financial Technology
Active Courses
- 888101 Tabular Data for Digital Innovation
- 888102 Big Data for Business
- 888212 Fundamental Digital Tools for Entrepreneurs
- 888345 Methods and Tools for Design Thinking in Entrepreneurship
- 888455 Blockchain Security Design for Financial Technology
Inactive Courses
- 888106 Communication and Networking in Online Society
- 888147 Innovation for Entrepreneurs
- 888350 Implementation of STEM in Business for Sustainable Development Goals
- 888791 Master Study Seminar
- 888891 PhD Study Seminar
Projects
- Teaching: DiToo Chat(GPT)bot for Immediate Feedback on Questions (Supported by TLIC)
- Research: Human Action Recognition
- Generate Adjacency and Distance Matrix for Thailand Provinces and Districts
- Growth Pole Analysis
- Multi-Driver Multi-Depot Routing Optimization
- Cryptography Voting System
- Health Services Recomendation Systems
- Landslide Prediction Models
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ROI-Approaches-in-HAR
Publications
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Tepsan, W., Sooksatra, S., Lueangwitchajaroen, P., & Watcharapinchai, S. (2024). Adaptive body part ROI with triple stream approach for human action recognition. In Proceedings of the 2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 79-85). https://doi.org/10.1109/JCSSE61278.2024.10613745
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Shu, H., Dawod, A. Y., Tepsan, W., Mou, L., & Tang, Z. (2024). Multi-channel microseismic signals classification with convolutional neural networks. IAES International Journal of Artificial Intelligence (IJ-AI), 13(1), 1038-1049. https://doi.org/10.11591/ijai.v13.i1.pp1038-1049
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Shu, H., Dawod, A. Y., Mu, L., & Tepsan, W. (2023). A survey of machine learning applications in microseismic signal recognition and classification. In Proceedings of the 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), Kuala Lumpur, Malaysia (pp. 18-23). https://doi.org/10.1109/SKIMA59232.2023.10387351
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Ran, X., Zhou, X., Lei, M., Tepsan, W., & Deng, W. (2021). A novel K-means clustering algorithm with a noise algorithm for capturing urban hotspots. Applied Sciences, 11(23), 11202. https://doi.org/10.3390/app112311202
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Blecher, D. P., & Tepsan, W. (2021). Real operator algebras and real positive maps. Integral Equations and Operator Theory, 93(5), 49. https://doi.org/10.1007/s00020-021-02665-1