Dr. Aongart Aun-a-nan

Job Title

Name of Organization

Primary Email

Computer Technical Officer

Information and Communication Technology Center, Department of Fisheries, Ministry of Agriculture and Cooperatives, Thailand


Brief Biography

A Ph.D. graduate in Information Technology from King Mongkut’s University of Technology North Bangkok (2019), I reside in Thailand and work as a programmer and visiting lecturer at various universities. My expertise encompasses system analysis and design, system development, and data analysis with AI. I have extensive experience in IoT, carbon management, workflow support systems, and decision support systems with BI.

Field of Interests

With 15 years of experience in Information Technology and research, I have contributed to various projects including fake news detection using machine learning, data classification models, Thai cancer-related content reliability, road network analysis, environmental initiatives, employee engagement, web crawlers, 3D animation, and decision support systems. I work spans areas such as machine learning, data mining, natural language processing, and graph theory, showcasing a robust interdisciplinary approach to solving complex problems.

Fields of Expertise

Current Research Projects

(i) Development of Fake News Detection Using Machine Learning and People’s Fact Checking. URL: https://cuir.car.chula.ac.th/handle/123456789/81940 (ii) The Influence of Work-Related Supports on Employee Engagement in the Pharmaceutical Industry in Thailand. URL: https://www.sysrevpharm.org/articles/the-influence-of-workrelated-supports-on-employee-engagement-in-the-pharmaceutical-industry-in-thailand.pdf (iii) Artificial Intelligent Techniques for Thai Fake News Detection. URL: https://thaiscience.info/Journals/Article/JASC/10995394.pdf (iv) Innovative Database System and Knowledge Media from Local Wisdom for Implementing Chemical-Free Agriculture. URL: https://nuir.lib.nu.ac.th/dspace/bitstream/123456789/4042/1/PuangratKajitvichyanukul.pdf

Key Publications

(i) Meesad P., Kleechaya P., Aun-a-nan A. and Kijrungpaisarn K. (2022). Artificial Intelligent Techniques for Thai Fake News Detection. The Journal of Applied Science, Vol. 21, No. 1, Jan-May, pp. 1-19. URL: https://ph01.tci-thaijo.org/index.php/JASCI/article/view/244590/168759 

(ii) Meesad P., Kleechaya P., Aun-a-nan A. and Kijrungpaisarn K. (2022). Development of fake news detection using machine learning and people’s fact checking. Research Report, Faculty of Communication Arts, Chulalongkorn University. URL: https://cuir.car.chula.ac.th/handle/123456789/81940 

(iii) Tirastittam P., Sirikamonsin P., Li H., and Aun-a-nan A. (2020). The Influence of Work-Related Supports on Employee Engagement in the Pharmaceutical Industry in Thailand. Systematic Reviews in Pharmacy, Vol. 11, Issue 2, Mar-Apr, pp. 576-585 URL: https://www.sysrevpharm.org/articles/the-influence-of-workrelated-supports-on-employee-engagement-in-the-pharmaceutical-industry-in-thailand.pdf 

(iv) Aun-a-nan A. and Meesad P. (2020). “The Classification of Credibility of Thai News Source Websites Using Data Mining Techniques”. Journal of Eastern Asia University, Vol. 14, No. 2, May-Aug. URL: https://he01.tci-thaijo.org/index.php/EAUHJSci/article/download/241729/166067/863901 

(v) Kongson C., Wisutthiphinet N., and Aun-anan A. (2016). “Comparison Performance of Selected Field of Study Model for Vocation Institution using Data Classification”. Proceedings of ASEAN Undergraduate Conference on Computing, AUCC 2016, pp. 25-31. 

(vi) Kedkij S., Aun-a-nan A., and Meesad P. (2015). “Classification of Reliable Content on Cancer Thai Website using CancerDic+”. Journal of Information Science and Technology, Vol. 5, No. 2, Jul-Dec, pp. 34-43. URL: https://doi.nrct.go.th//ListDoi/listDetail?Resolve_DOI=10.14456/jist.2015.11 

(vii) Aun-a-nan A., Yimyiam W., and Sodsri S. (2014). “The Analysis of Street Networks by Graph Theory: The Case Study of Streets in Nonthaburi Province”. Proceedings of the 10th National Conference on Computing and Information Technology (NCCIT 2014), pp. 252-257.

Postal Address

50 Phothonyothin Rd., Lat Yao, Chatuchak, Bangkok 10900,Thailand.

Phone Number

+668 968 75859

(c) CIRDAP – all rights reserved

(c) CIRDAP – all rights reserved

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