Prof Tossapon Boongoen


Prior the current appointment, he worked for Mae Fah Luang University (MFU, Thailand) between 2017-2022, as an Assoc Prof in the School of Information Technology, and the Director of MFU Research and Innovation Institute. His research areas include AI, machine learning, uncertainty and fuzzy system, data science and engineering. He has also served as associate editors of international journals like IEEE Access, PeerJ Computer Science, ICT Express, and International Journal of Artificial Intelligence.


Experiences in developing machine learning (ML) and deep learning (DL) models for remote sensing and wide-area sky survey data. The former is part of Newton Institutional Link project 2020-21 (funded by British Council) that aims to detect burnt scar from satellite images and risk modelling for its future expansion, while the latter has been implemented in both previous Newton 2017-19 and GCRF 2017-19 projects with UK STFC, National Astronomical Research Institute of Thailand, University of Sheffield and GOTO project ( 

One of the major contributions is the extension of ensemble clustering methodology, especially the optimised selection of ensemble members and approximated framework for big data clustering. This also leads to the hybridisation of multiple clusterings with fundamental problems in data quality, e.g., missing values and imbalanced classes. The resulting techniques have been successfully applied to a variety of scientific problems, including detection of astronomical transient events from sky images, classification of tumour samples on gene expression data, adversarial attacks to ML-based network security systems. The last application has been investigated in contexts of ransomware and intrusion detection, as part of another Newton IAPP project funded by Royal Academy of Engineering. 

In 2023-24, he leads the project funded by Foreign, Commonwealth & Development Office: Research and Innovation for Development in ASEAN (RIDA). This is the collaboration between Aberystwyth University, MFU, Department of Forestry, Geo-Informatics and Space Technology Development Agency (Thailand).

Research Groups


Elisa, N, Yang, L, Chao, F, Naik, NK & Boongoen, T 2023, 'A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity', IEEE Access, vol. 11, pp. 8773-8789. 10.1109/ACCESS.2023.3239814
Liu, JJ, Boongoen, T & Iam-On, N 2023, 'Improved detection of transient events in wide area sky survey using convolutional neural networks', Data and Information Management. 10.1016/j.dim.2023.100035
Chamnanphan, C, Vorapatratorn, S, Kirimasthong, K, Boongoen, T & Iam-On, N 2023, 'Improvised Explosive Device Detection Using CNN With X-Ray Images', Journal of Advances in Information Technology, vol. 14, no. 4, pp. 674-684. 10.12720/jait.14.4.674-684
Tatongjai, P, Boongoen, T, Iam-On, N, Naik, N & Yang, L 2022, 'Classification of Adversarial Attacks Using Ensemble Clustering Approach', Computers, Materials and Continua, vol. 74, no. 2, pp. 2479-2498. 10.32604/cmc.2023.024858
Keerin, P & Boongoen, T 2022, 'Estimation of missing values in astronomical survey data: An improved local approach using cluster directed neighbor selection', Information Processing and Management, vol. 59, no. 2, 102881. 10.1016/j.ipm.2022.102881
More publications on the Research Portal