Curriculum Vitaes

Virach Sornlertlamvanich

  (ソンラートラムワニッチ ウィラット)

Profile Information

Affiliation
Professor (Professor), Department of Data Science, Musashino University
Department of Engineering, Thammasat University
Degree
Ph.D.(Sep, 1998, Tokyo Institute of Technology)

Contact information
virachgmail.com
ORCID ID
 https://orcid.org/0000-0002-6918-8713
J-GLOBAL ID
201901006918149809
researchmap Member ID
B000354731

External link

In 2003, he achieved the “National Distinguished Researcher Award” in Information Technology and Communication from the National Research Council of Thailand, following by the “ASEAN Outstanding Engineering Achievement Award” from ASEAN Federation of Engineering Organizations (AFEO) in 2011. He was also esteemed “The Researcher of the Year 2001” by the Nation Newspaper in 2001. He started his research career in the field of Knowledge Engineering and Artificial Intelligence during his study in Kyoto University in 1980-1986. He started his research in Natural Language Processing by participating in the Multi-lingual Machine Translation project during 1988-1995, and received his Ph.D. from Tokyo Institute of Technology in 1998. Some of his long-running research contributions can be seen in the initiative in the development of Thai POS tagged corpus (ORCHID, 1997), the first corpus based Thai-English dictionary (LEXiTRON, 1997), and the first English-Thai online machine translation web service (ParSit, 2000) based on the Inter-lingual approach. His recent efforts are on the research and development of the technologies for digital content creation and understanding. He proposed the Digitized Thailand project in 2009 to establish an intelligent service platform for being a fundamental framework for digital content sharing and application mashup. Some of the achievements have already been publicized in culture and local wisdom digitization and the applications on the digital content services for tourism, product design and education. His research interest includes Natural Language Processing, Human Language Technology, Information Retrieval, Data Mining, Artificial Intelligence, Machine Learning, Deep Learning, Social Media Analytics and the related fields.

Education

 3

Papers

 152
  • Virach Sornlertlamvanich, Thatsanee Charoenporn, Pannathorn Sathirasattayanon, Parin Jatesiktat, Anatta Suesuwan, Parkhan Ngamwannakorn
    Frontiers in Artificial Intelligence and Applications, 418 161-176, Feb 12, 2026  Peer-reviewedLead authorCorresponding author
    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, 418 380-387, Feb 12, 2026  Peer-reviewed
    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  Peer-reviewed
  • Yuichi Tanigawa, Virach Sornlertlamvanich, Thatsanee Charoenporn, Titipakorn Prakayaphun
    2025 9th International Conference on Information Technology (InCIT), 518-524, Nov 12, 2025  Peer-reviewed
  • Charoonroj Amornpative, Virach Sornlertlamvanich, Pizzanu Kanongchaiyos
    Proceedings of the 20th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Nov, 2025  Peer-reviewed
  • Takahiro Kubo, Virach Sornlertlamvanich, Thatsanee Charoenporn
    2025 International Electronics Symposium (IES), 437-442, Aug 5, 2025  Peer-reviewed
  • Virach Sornlertlamvanich
    Knowledge and Information Systems, Springer Nature, Jun 11, 2025  Peer-reviewedLead authorCorresponding author
  • Waranrach Viriyavit, Somrudee Deepaisarn, Virach Sornlertlamvanich, Patama Gomutbutra, Wenwei Yu
    DIGITAL HEALTH, May, 2025  
  • Waranrach Viriyavit, Somrudee Deepaisarn, Thatsanee Charoenporn, Virach Sornlertlamvanich
    Information Modelling and Knowledge Bases XXXVI, Frontiers in Artificial Intelligence and Applications, 399 298-309, Mar 17, 2025  Peer-reviewed
  • Virach Sornlertlamvanich, Ryusei Doi, Thatsanee Charoenporn
    Information Modelling and Knowledge Bases XXXVI, Frontiers in Artificial Intelligence and Applications, 399 19-33, Mar 17, 2025  Peer-reviewedLead authorCorresponding author
  • Takahiro Kubo, Virach Sornlertlamvanich, Thatsanee Charoenporn
    Information Modelling and Knowledge Bases XXXVI, Frontiers in Artificial Intelligence and Applications, 399 298-309, Mar 17, 2025  Peer-reviewed
  • Yuichi Tanigawa, Virach Sornlertlamvanich, Thatsanee Charoenporn
    Proceedings of the 17th International Conference on Knowledge and Smart Technology (KST2025), Feb, 2025  Peer-reviewedCorresponding author
  • Ponlawat Chophuk, Pinphong Ruangraweenuki, Waranrach Viriyavi, Thatsanee Charoenporn, Virach Sornlertlamvanich
    Proceedings of the 17th International Conference on Knowledge and Smart Technology (KST2025), Feb, 2025  Peer-reviewed
  • Waranrach Viriyavi, Pipat Khambun, Ponlawat Chophuk, Supawadee Srikamdee, Thatsanee Charoenporn, Virach Sornlertlamvanich
    Proceedings of the 17th International Conference on Knowledge and Smart Technology (KST2025), Feb, 2025  Peer-reviewedCorresponding author
  • Kubo Takahiro, Virach Sornlertlamvanich, Thatsanee Charoenporn
    ECTI Transactions on Computer and Information Technology (ECTI-CIT), 19(1) 65-74, Nov 30, 2024  Peer-reviewedCorresponding author
    Nurses play a crucial role in healthcare, directly influencing patient care quality. With a global nursing shortage, enhancing nursing efficiency and care quality is urgently needed. This foundational study explores the advantages of text and data processing techniques to determine NANDA-I nursing diagnoses using both subjective and objective patient data recorded by nurses. By employing text data similarity analysis and a prototype of the predictive model, our research aims to rene the nursing assessment process and facilitate the automation of nursing diagnoses. This work highlights the accuracy of BERT-based assessment pattern matching to support nursing practices and sets a platform for future research to address the nursing shortage effectively.
  • Li Yang, Thatsanee Charoenporn, Virach Sornlertlamvanich
    2024 IEEE International Symposium on Consumer Technology (ISCT), 269-273, Aug 13, 2024  Peer-reviewedCorresponding author
  • Takahiro Kubo, Virach Sornlertlamvanich, Thatsanee Charoenporn
    2024 IEEE International Symposium on Consumer Technology (ISCT), 561-565, Aug 13, 2024  Peer-reviewedCorresponding author
  • Midhu Jean Joseph, Virach Sornlertlamvanich, Thatsanee Charoenporn
    Proceedings of the 16th International Conference on Knowledge and Smart Technology (KST2024), Feb, 2024  Peer-reviewedCorresponding author
  • Naoki Tomizawa, Virach Sornlertlamvanich, Thatsanee Charoenporn
    Proceedings of the 16th International Conference on Knowledge and Smart Technology (KST2024), 173-177, Feb, 2024  Peer-reviewedLast author
  • Takafumi Nakanishi, Ayako Minematsu, Ryotaro Okada, Osamu Hasegawa, Virach Sornlertlamvanich
    Frontiers in Artificial Intelligence and Applications, Information Modelling and Knowledge Bases, XXXV 227-238, Jan 16, 2024  Peer-reviewed
  • Virach Sornlertlamvanich, Thatsanee Charoenporn, Somrudee Deepaisarn
    Frontiers in Artificial Intelligence and Applications, 380 179-193, Jan 16, 2024  Peer-reviewedLead authorCorresponding author
    The Thammasat AI City distributed platform is a proposed AI platform designed to enhance city intelligent management. It addresses the limitations of current smart city architecture by incorporating cross-domain data connectivity and machine learning to support comprehensive data collection. In this study, we delve into two main areas, that is, monitoring and visualization of city ambient lighting, and indoor human physical distance tracking. The smart street light monitoring system provides real-time visualization of street lighting status, energy consumption, and maintenance requirement, which helps to optimize energy consumption and maintenance reduction. The indoor camera-based system for human physical distance tracking can be used in public spaces to monitor social distancing and ensure public safety. The overall goal of the platform is to improve the quality of life in urban areas and align with sustainable urban development concepts.
  • Somrudee Deepaisarn, Paphana Yiwsiw, Chanon Tantiwattanapaibul, Suphachok Buaruk, Virach Sornlertlamvanich
    Journal of information and communication convergence engineering, 1-5, Sep 30, 2023  Peer-reviewedLast author
  • Somrudee Deepaisarn, Paphana Yiwsiw, Chanon Tantiwattanapaibul, Suphachok Buaruk, Virach Sornlertlamvanich
    JICCE, 21(3), Sep, 2023  Peer-reviewedLast authorCorresponding author
  • Somrudee Deepaisarn, Sirawit Chokphantavee, Sorawit Chokphantavee, Phuriphan Prathipasen, Suphachok Buaruk, Virach Sornlertlamvanich
    Scientific Reports, 13(13228), Aug, 2023  Peer-reviewedLast authorCorresponding author
  • Virach SORNLERTLAMVANICH, Thatsanee CHAROENPORN, Somrudee DEEPAISARN
    International Conference on Information Modelling and Knowledge Bases (EJC2023), 239-258, Jun, 2023  Peer-reviewedLead authorCorresponding author
  • Virach Sornlertlamvanich, Sunisa Wittayapanyanon (Saito
    International Conference on Business and Industrial Research (ICBIR2023), 620-626, May, 2023  Peer-reviewedLead authorCorresponding author
  • Somrudee Deepaisarn, Paphana Yiwsiw, Sirada Chaisawat, Thanakit Lerttomolsakul, Leeyakorn Cheewakriengkrai, Chanon Tantiwattanapaibul, Suphachok Buaruk, Virach Sornlertlamvanich
    Sensors, 23(4) 1853-1853, Feb 7, 2023  Peer-reviewedLast authorCorresponding author
    The smart city concept has been popularized in the urbanization of major metropolitan areas through the implementation of intelligent systems and technology to serve the increasing human population. This work developed an automatic light adjustment system at Thammasat University, Rangsit Campus, Thailand, with a primary objective of optimizing energy efficiency, while providing sufficient illumination for the campus. The development consists of two sections: the device control and the prediction model. The device control functionalities were developed with the user interface to enable control of the smart street light devices and the application programming interface (API) to send the light-adjusting command. The prediction model was created using an AI-assisted data analytic platform to obtain the predicted illuminance values so as to, subsequently, suggest light-dimming values according to the current environment. Four machine-learning models were performed on a nine-month environmental dataset to acquire predictions. The result demonstrated that the three-day window size setting with the XGBoost model yielded the best performance, attaining the correlation coefficient value of 0.922, showing a linear relationship between actual and predicted illuminance values using the test dataset. The prediction retrieval API was established and connected to the device control API, which later created an automated system that operated at a 20-min interval. This allowed real-time feedback to automatically adjust the smart street lighting devices through the purpose-designed data analytics features.
  • Hiroo Iwata, Shiori Sasaki, Naoki Ishibashi, Virach Sornlertlamvanich, Yuki Enzaki, Yasushi Kiyoki
    Frontiers in Artificial Intelligence and Applications, Jan 23, 2023  
    This paper describes about project “Data Sensorium” launched at the Asia AI Institute of Musashino University. Data Sensoriumis a conceptual framework of systems providing physical experience of content stored in database. Spatial immersive display is a key technology of Data Sensorium. This paper introduces prototype implementation of the concept and its application to environmental and architectural dataset.
  • Takafumi Nakanishi, Ayako Minematsu, Ryotaro Okada, Osamu Hasegawa, Virach Sornlertlamvanich
    Frontiers in Artificial Intelligence and Applications, Jan 23, 2023  
    Through technology, it is essential to seamlessly bridge the divide between diverse speaking communities (including the signer (the sign language speaker) community). In order to realize communication that successfully conveys emotions, it is necessary to recognize not only verbal information but also non-verbal information. In the case of signers, there are two main types of behavior: verbal behavior and emotional behavior. This paper presents a sign language recognition method by similarity measure with emotional expression specific to signers. We focus on recognizing the sign language conveying verbal information itself and on recognizing emotional expression. Our method recognizes sign language by time-series similarity measure on a small amount of model data, and at the same time, recognizes emotion expression specific to signers. Our method extracts time-series features of the body, arms, and hands from sign language videos and recognizes them by measuring the similarity of the time-series features. In addition, it recognizes the emotional expressions specific to signers from the time-series features of their faces.
  • Virach Sornlertlamvanich, Pawinee Iamtrakul, Teerayuth Horanont, Narit Hnoohom, Konlakorn Wongpatikaseree, Sumeth Yuenyong, Jantima Angkapanichkit, Suthasinee Piyapasuntra, Prittipoen Lopkerd, Santirak Prasertsuk, Chawee Busayarat, I-soon Raungratanaamporn, Somrudee Deepaisarn, Thatsanee Charoenporn
    Frontiers in Artificial Intelligence and Applications, 364 92-109, Jan 23, 2023  Peer-reviewedLead authorCorresponding author
    This research proposes an AI platform for data sharing across multiple domains. Since the data in the smart city concept are domain-specific processed, the existing smart city architecture is suffered from cross-domain data interpretation. To go beyond the digital transformation efforts in smart city development, the AI city is created on the architecture of cross-domain data connectivity and transform learning in the machine learning paradigm. In this research, the health and human behavioral data are targeted on human traceability and contactless technologies. To measure the inhabitants quality of life (QoL), the primary emotion expression study is conducted to interpret the emotional states and the mental health of people in the urbanized city. The results of information augmentation draw attention to the immersive visualization of the Thammasat model.
  • Virach Sornlertlamvanich, Thatsanee Charoenporn, Shiori Sasaki, Yasushi Kiyoki
    IIAI-AAI-Winter, 225-229, Dec, 2022  Peer-reviewedLead authorCorresponding author
  • Somrudee Deepaisarn, Angkoon Angkoonsawaengsuk, Charn Arunkit, Chayud Srisumarnk, Krongkan Nimmanwatthana, Nanmanas Linphrachaya, Nattapol Chiewnawintawat, Rinrada Tanthanathewin, Sivakorn Seinglek, Suphachok Buaruk, Virach Sornlertlamvanich
    APSIPA Annual Summit and Conference, Nov 7, 2022  Peer-reviewedLast author
  • Somrudee Deepaisarn, Suphachok Buaruk, Sirawit Chokphantavee, Sorawit Chokphantavee, Phuriphan Prathipasen, Virach Sornlertlamvanich
    2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 1-5, Nov 5, 2022  Peer-reviewedLast author
  • Sakada Sao, Virach Sornlertlamvanich
    Journal of Science & Technology Asia (STA), 27(3), Sep, 2022  Peer-reviewedLast authorCorresponding author
  • Taiki Kimura, Thatsanee Charoenporn, Virach Sornlertlamvanich
    2022 International Electronics Symposium (IES), 162-165, Aug 9, 2022  Peer-reviewedLast author
  • Virach Sornlertlamvanich, Kitiya Suriyachay, Thatsanee Charoenporn
    Human Language Technology. Challenges for Computer Science and Linguistics, 13212 143-160, Jun, 2022  Peer-reviewedLead authorCorresponding author
  • Sumeth Yuenyong, Virach Sornlertlamvanich
    Journal of Songklanakarin Journal of Science and Technology (SJST), Jun, 2022  Peer-reviewedLast author
  • Virach Sornlertlamvanich, Sumeth Yuenyong
    IEEE Access, 10 53043-53052, May 16, 2022  Peer-reviewedLead authorCorresponding author
  • Virach Sornlertlamvanich, Hiroki Nomoto, Sunisa Wittayapanyanon (Saito, Atsushi Kasuga, Kenji Okano, Wataru Okubo, Yunjin Nam, Yoshimi Miyake, Thuzar Hlaing, Ryuko Taniguchi, Sri Budi Lestari
    Proceedings of the 7th International Conference on Business and Industrial Research (ICBIR2022), May, 2022  Peer-reviewedLead authorCorresponding author
  • Ryusei Doi, Thatsanee Charoenporn, Virach Sornlertlamvanich
    Proceedings of the 7th International Conference on Business and Industrial Research (ICBIR2022), May, 2022  Peer-reviewedCorresponding author
  • Ryosuke Yamano, Thatsanee Charoenporn, Virach Sornlertlamvanich
    Proceedings of the 7th International Conference on Business and Industrial Research (ICBIR2022), May, 2022  Peer-reviewedCorresponding author
  • I-soon Raungratanaamporn, Jirawan Klaylee, Sararad Chayaphong, Virach Sornlertlamvanich
    Proceedings of the 7th International Conference on Business and Industrial Research (ICBIR2022), May, 2022  Peer-reviewedLast author
  • Jirawan Klaylee, Pawinee Iamtrakul, Virach Sornlertlamvanich
    Proceedings of the 2nd International Civil Engineering and Architecture Conference (CEAC2022), Mar, 2022  Peer-reviewedLast author
  • Takayuki Take, Thatsanee Charoenporn, Virach Sornlertlamvanich
    DEIM2022, Feb, 2022  Last author
  • Takuma Nitta, Shinpei Hagimoto, Ari Yanase, Ryotaro Okada, Virach Sornlertlamvanich, Takafumi Nakanishi
    International Journal of Smart Computing and Artificial Intelligence, 6(1) 1-1, 2022  
  • Narit Hnoohom, Pitchaya Chotivatunyu, Nagorn Maitrichit, Virach Sornlertlamvanich, Anuchit Jitpattanakul, Sakorn Mekruksavanich
    Proceedings of the 25th International Computer Science and Engineering Conference (ICSEC), Nov, 2021  Peer-reviewed
  • Narit Hnoohom, Nagorn Maitrichit, Pitchaya Chotivatunyu, Virach Sornlertlamvanich, Anuchit Jitpattanakul, Sakorn Mekruksavanich
    Proceedings of the 25th International Computer Science and Engineering Conference (ICSEC), Nov, 2021  Peer-reviewed
  • Xuanzhou Yang, Virach Sornlertlamvanich
    International Electronics Symposium (IES), Sep, 2021  Peer-reviewedLast author
  • Goragod Pongthanisorn, Waranrach Viriyavit, Thatsanee Charoenporn, Virach Sornlertlamvanich
    International Conference on Information Modelling and Knowledge Bases (EJC2021), Sep, 2021  Peer-reviewedCorresponding author
  • Kitiya Suriyachay, Thatsanee Charoenporn, Virach Sornlertlamvanich, Natsuda Kaothanthong
    Journal of Science & Technology Asia (STA), 26(2) 61-78, Jul, 2021  Peer-reviewedCorresponding author

Misc.

 11

Books and Other Publications

 5

Research Projects

 6

教育内容・方法の工夫

 4
  • Subject
    Information Retrieval
    Date(From)
    2015/01/01
    Date(To)
    2019/03/31
    Summary
    Basic and advanced techniques for text-based information systems: efficient text indexing; Boolean and vector space retrieval models; evaluation and interface issues; Web search including crawling, link-based algorithms, and Web metadata; text/Web clustering, classification; text mining.
  • Subject
    Management Information System
    Date(From)
    2014/08/01
    Date(To)
    2018/08/31
    Summary
    Management Information System explores the use of information systems in today's organizations. This is an exciting field because of the degree of change occurring in technology and how that translates into new opportunities for management and business process. Knowledge about information systems is essential for creating successful, competitive firms, for managing global corporations, for adding business value, and for providing useful products and services to customers. Throughout the course, case studies are provided to illustrate how organizations use IT to manage their businesses. The main topics covered in the course include
    l organizations,management,andthenetworkedenterprise
    l informationtechnology,infrastructure,platforms,andtelecommunications l systemsdevelopmentandmanagement,managingglobalsystems
    l applicationsforthedigitalfirm,includinge-businessande-commerce.
  • Subject
    Big Data Analytics
    Date(From)
    2018/01/01
    Date(To)
    2018/05/31
    Summary
    The recent explosion of social media, IOT technology, and the computerization of every aspect of economic activity resulted in the creation of big data. It is estimated that 80% and more of the data is in the unstructured form, in parallel with the development of computer which has kept getting ever more powerful and storage ever cheaper. Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits. This course brings together several key information technologies in Big Data, AI, Machine Learning and Deep Learning to use in manipulating, storing, and analyzing big data.
  • Subject
    Creative Thinking
    Date(From)
    2013/06/01
    Date(To)
    2018/06/30
    Summary
    Creative thinking and designing tools. The ways to innovation and problem solving.