Curriculum Vitaes
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.
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
11Research Areas
3Research History
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Feb, 2019 - Present
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May, 2014 - Jan, 2019
Education
3-
Apr, 1988 - Jun, 1992
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Jun, 1984 - Apr, 1988
Papers
44-
Frontiers in Artificial Intelligence and Applications, Mar 17, 2025Nurses play a crucial role in healthcare, directly influencing the quality of patient care. Facing a global nursing shortage, there is an urgent need for strategies to enhance nursing efficiency and care quality. This foundational study explores an NLP-based approach to determine NANDA nursing diagnoses, leveraging both subjective and objective patient data recorded by nurses. Employing text data similarity analysis and a prototype predictive model, our research aims to refine the nursing assessment process and pave the way for the potential automation of nursing diagnoses. This work highlights the potential of AI to support nursing practices and sets a platform for future research to fully realize AI’s benefits in addressing the challenges posed by the nursing shortage.
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Frontiers in Artificial Intelligence and Applications, Mar 17, 2025Challenged by data-driven AI limitations in reasoning and knowledge depth, this work presents a novel approach for enhanced conversational understanding. We leverage advanced text analysis to strategically extract key information from FAQs, then utilize AI-generated questions and robust semantic similarity metrics to significantly improve user query matching precision. Through the strategic integration of important sentence extraction in knowledge preparation, coupled with question generation and the application of semantic textual similarity measures, our model achieves a substantial improvement in user query matching precision. We propose a dual-system architecture—augmenting System 1 with additional knowledge akin to System 2 in human cognition. The methodology is exemplified through chatbot correction using FAQs, demonstrating the potential for human-like mind processing. Results showcase improved semantic understanding and reasoning, offering a promising path for advancing AI capabilities in conversational contexts.
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Frontiers in Artificial Intelligence and Applications, Mar 17, 2025The increasing elderly population necessitates increased geriatric care. However, a shortage of caregivers leads to a risk of falls and bedsores in the elderly, both of which result in severe injuries. Whilst wearable devices, and vision sensors have been adopted for monitoring. However, these sensors come with limitations, impacting comfort and privacy for the elderly. To address these challenges, non-intrusive sensing devices integrated into the environment offer promising value for continuous elderly activity monitoring. This study uses a panel sensor embedded with four sensors, consisting of two piezoelectric sensors and two pressure sensors. It is placed beneath the mattress. The position classification encompasses five distinct positions: off-bed, sitting, lying in the center, lying on the left side, and lying on the right side. To find the best position for placing the panel, the positions of the panel and the combination of panel sensors positions are evaluated for five-bed positions classification. As a result, the best position for a sensor panel was in the middle of the bed (position No. 3), with an accuracy of 97.12%. This suggests the panel sensor should be placed at 123.5 cm, measured from the top of the bed. Moreover, in the case of placing two-panel sensors, the most effective arrangement comprises placing one-panel sensor placed at the the bed-top (position No. 1) and the other in the middle of the bed (position No. 3), yielding accuracy 99.93%.
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ECTI Transactions on Computer and Information Technology (ECTI-CIT), 19(1) 65-74, Nov 30, 2024Nurses 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.
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2024 IEEE International Symposium on Consumer Technology (ISCT), 561-565, Aug 13, 2024
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Frontiers in Artificial Intelligence and Applications, Jan 16, 2024The 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.
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Frontiers in Artificial Intelligence and Applications, Jan 23, 2023This 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.
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2022 International Electronics Symposium (IES), Aug 9, 2022
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IIAI-AAI-Winter, 225-229, 2022
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Human Language Technology. Challenges for Computer Science and Linguistics, 143-160, 2022
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Sep, 2021 Peer-reviewed
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Journal of Science & Technology Asia (STA), 26(2) 61-78, Jul, 2021 Peer-reviewed
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International Conference Language Technologies for All (LT4All), Dec, 2019 Peer-reviewedLast author
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International Conference Language Technologies for All (LT4All), Dec, 2019 Peer-reviewedLead author
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International Conference Language Technologies for All (LT4All), Dec, 2019 Peer-reviewedLast author
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Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing(WSSANLP@COLING), 15-24, 2012 Peer-reviewed
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Proceedings of the 3rd Named Entities Workshop(NEWS@IJCNLP), 28-31, 2011 Peer-reviewed
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PICMET: Portland International Center for Management of Engineering and Technology, Proceedings, 2011 Peer-reviewed
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Proceedings - 2011 2nd International Conference on Culture and Computing, Culture and Computing 2011, 92-97, 2011 Peer-reviewed
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Global Wordnet Conference, GWC 2010, 2010
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Proceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010, 514-517, 2010 Peer-reviewed
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JAPIO 2009 Year Book, 2009 276-285[含 日本語文要旨], Sep, 2009 Peer-reviewed
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Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008, 1658-1663, 2008 Peer-reviewed
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Third International Joint Conference on Natural Language Processing, IJCNLP 2008, Hyderabad, India, January 7-12, 2008, 105-106, Jan, 2008 Peer-reviewed
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Third International Joint Conference on Natural Language Processing, IJCNLP 2008, Hyderabad, India, January 7-12, 2008, 673-678, Jan, 2008 Peer-reviewedWe explore an automatic WordNet synset assignment to the bi-lingual dictionaries.
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IEICE Transactions on Information and Systems, E90-D(10) 1565-1573, Oct, 2007 Peer-reviewed
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SEALS XVII Conference, Aug, 2007 Peer-reviewedThis is a part of the Development of Language Resource Standard for Semantic Web Applications Project.
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IEICE Transactions on Information and Systems, E90-D(4) 775-782, Mar, 2007 Peer-reviewed
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GWC 2008: 4th Global WordNet Conference, Proceedings, 101-110, 2007 Peer-reviewed
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GWC 2008: 4th Global WordNet Conference, Proceedings, 419-427, 2007 Peer-reviewed
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Intercultural Collaboration, First International Workshop, IWIC 2007, Kyoto, Japan, January 25-26, 2007, Invited and Selected Papers, 91-102, Jan, 2007 Peer-reviewed
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Proceedings of the COLING/ACL 2006, 827-834, Jul, 2006 Peer-reviewed
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IEICE Transactions on Information and Systems, E89-D(7) 2286-2293, Jul, 2006 Peer-reviewed
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Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2006, 949-954, 2006 Peer-reviewed
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International Conference On Natural Language Processing (ICON 2004), Dec, 2004 Peer-reviewed
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Third International Workshop on DICTIONARY WRITING SYSTEMS (DWS 2004), Sep, 2004 Peer-reviewed
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International Conference on eLearning for Knowledge-Based Society, May, 2004 Peer-reviewed
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IJCNLP-04, 668-675, Mar, 2004 Peer-reviewed
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Fourth Workshop on Asia Language Resources, 47-53, Mar, 2004 Peer-reviewed
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Proceedings of the 4th International Conference on Language Resources and Evaluation, LREC 2004, 1193-1196, 2004 Peer-reviewed
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Proceedings of the 4th International Conference on Language Resources and Evaluation, LREC 2004, 2201-2204, 2004 Peer-reviewed
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ELSNET/ENABLER Workshop, Aug, 2003 Peer-reviewed
Misc.
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Proc. NLPRS'97, Phuket, Thailand, 1997
Presentations
21-
The 9th Language & Technology Conference (LTC2019), May 17, 2019
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2nd International Conference on Information Technology (INCIT2017), Nov 2, 2017
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International Computer Science and Engineering Conference (ICSEC2016), Dec 14, 2016
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8th International Conference on Knowledge and Smart Technology (KST2016), Feb 3, 2016
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2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA2015), Aug 19, 2015
Teaching Experience
12-
Senior Project (Software Engineering, Computer Science, Information Technology) (Burapha University, Thailand)
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Seminar on Software Engineering (Burapha University, Thailand)
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Information Technology in Daily Life (Burapha University, Thailand)
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Introduction to Natural Language Processing (Burapha University, Thailand)
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IT Enterprise Architecture (Burapha University, Thailand)