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  2. Thatsanee Charoenporn

Thatsanee Charoenporn

  (タッサネーチャロエンポーン タッサネー)

Profile Information

Affiliation
Lecturer, Faculty of Data Science, Musashino University
Degree
Ph.D.(Sirindhorn International Institute of Technology, Thailand)
Other name(s) (e.g. nickname)
Kaeng-SOM
J-GLOBAL ID
201901012821607047
researchmap Member ID
B000350703
In the age that information blows into us anywhere and anytime, it enables people to access across various sciences easily. The combination of science, arts and humanity can occur serenely. I believe that science and mind are compatible. My deep passion is to apply various academic aspects including truth together for the benefit and highest happiness of mankind. I therefore became a part of many important multidisciplinary project such as the Multi-lingual Machine Translation Project (1989-1995), Language Resource Development for Computer Science (ORCHID), E-Learning for Minor Languages, Information Literacy, Application of IOT for the elderly and Well-Being, Digital Cultural Information Development (Digitized Thailand), Digital Thinking, Social Entrepreneur, University Entrepreneur, Start up Promotion Support and so on.

I have an M.A. and B.A. in Arts and Linguistics and Ph.D. in Information Technology. All degrees and experiences from the real implemented projects granted me as part of a member of the National Electronics and Computer Technology Center, Thailand (1994-2014), Faculty of Informatics, Burapha University of Thailand (2014-2019). Currently, I am a member of the Faculty of Data Science, and Asia AI Institute of Musashino University, Japan.

My research interests include Language Resource Development, Semantics, Syntactic, Morphological Analysis, Machine Translation, Language Intermediate Representation, Natural Language Processing, Social Innovation, Business Model and Inspiration, Social Understanding,  Standardization on Heritage Information, and Cultural and Historic Digitization.

Research Interests

 11

Research Areas

 3

Research History

 10
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Education

 3

Papers

 50
  • Virach Sornlertlamvanich, Thatsanee Charoenporn, Pannathorn Sathirasattayanon, Parin Jatesiktat, Anatta Suesuwan, Parkhan Ngamwannakorn
    Frontiers in Artificial Intelligence and Applications, Feb 12, 2026  
    With the growth of internet usage, countless educational videos are now available online. However, it can be a significant challenge for learners to identify the videos they need, especially in their preferred language and within their available time. Additionally, not all videos are suitable for subject-specific learning due to variations in length and presentation components. According to Sweller’s Cognitive Load Theory, working memory during the learning process is highly limited. Learners must be selective about which information from sensory memory they choose to focus on. In our proposed Co-Learning model (a model of connective learning where all necessary knowledge is refined and interconnected to support effective learning within cognitive limitations), we leverage NLP approaches to enhance the learning experience. These approaches include video speech refinement, subtitle generation, dubbed video translation, summarization, classification, keyword extraction for word cloud indexing, and quiz generation, thereby creating a multilingual, learner-efficient environment. In our preliminary survey, the generated content was well-received and effectively utilized for class adjustments with an acceptance rate of 93%.
  • Thatsanee Charoenporn, Virach Sornlertlamvanich, Yasushi Kiyoki
    Frontiers in Artificial Intelligence and Applications, Feb 12, 2026  
    This paper proposes a “Zero-Plastic Model” that focuses on the complete elimination and systematic replacement of plastic products. The model represents the deviation from the “reduce, reuse, recycle” framework, emphasizing prevention over treatment and introducing innovative technological solutions for plastic alternatives. The paper illustrates the limitations of existing recycling systems. The paper presents three aspects, including (1) the systematic reduction of plastic dependency through frameworks and behavioral interventions, (2) the development and implementation of sustainable replacement materials, and (3) the integration of technologies to facilitate this transition. The proposed “Zero Plastic Model” establishes sustainability frameworks while introducing a novel approach focused on complete plastic elimination rather than recycling. The framework integrates circular economy principles and draws inspiration from pre-plastic era solutions to achieve zero residual plastic in the system. The research contributes to the growing body of knowledge on sustainable practices and offers a practical framework for organizations and communities seeking to eliminate their plastic dependency.
  • Yuji Nakashima, Virach Sornlertlamvanich, Titipakorn Prakayaphun, Thatsanee Charoenporn
    2025 9th International Conference on Information Technology (InCIT), 722-728, Nov 12, 2025  
  • Yuichi Tanigawa, Virach Sornlertlamvanich, Thatsanee Charoenporn, Titipakorn Prakayaphun
    2025 9th International Conference on Information Technology (InCIT), 518-524, Nov 12, 2025  
  • Takahiro Kubo, Virach Sornlertlamvanich, Thatsanee Charoenporn
    2025 International Electronics Symposium (IES), 437-442, Aug 5, 2025  
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Misc.

 1

Presentations

 21
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Teaching Experience

 12
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