Prof Tossapon Boongoen

Before joining Aberystwyth University in July 2022, he worked for Mae Fah Luang University (MFU, Thailand) between 2017-2022, as Associate Professor in the School of Information Technology, and the Director of MFU Research and Innovation Institute. Between 2011-2017, he was initially Assistant and later Associate Professor in Royal Thai Air Force Academy. His research areas include AI, machine learning, uncertainty and fuzzy system, data science and engineering. He has also served as editors/associate editors of international journals like Frontiers in Neurorobotics, PeerJ Computer Science, ICT Express, Human-Intelligent Systems Integration, International Journal of Artificial Intelligence, International Journal of Information and Decision Sciences.

Expertise and past experiences in developing different machine learning (ML) and deep learning (DL) models for remote sensing and wide-area sky survey data analysis. 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 with respect to future area-specific 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 (https://goto-observatory.org).

One of his research areas is with the extension of ensemble clustering methodology, especially the approximated framework for big data clustering (promoting privacy-preserving data fusion across multiple sources and/or owners). This line of research also leads to the hybridisation of multiple clusterings with fundamental problems of data quality, e.g., missing values and imbalanced classes. The resulting techniques have been successfully applied to detection of astronomical transient events from sky survey images, classification of tumour samples, adversarial attacks to ML-based network security systems. The last application is investigated in contexts of ransomware and intrusion detection, as part of another Newton IAPP project funded by Royal Academy of Engineering. 

Since joining Aberystwyth University, he has led several research and networking projects, see below. Firstly, during July 2023 to January 2024, he co-leads the international partnership project ‘Industrial AI Expert Training Project’ funded by Korea Electronics Technology Institute (KETI). This is the collaboration with School of Industrial and Management Engineering, Korea University (KU). PhD students at KU are trained on ensemble clustering, with a specific application to categorising battery-swapping stations based on location- and user behaviour-wise data. This is part of developing a recommendation system for e-motorbikes in Seoul business district.

Between November 2023 and July 2024, he leads the project funded by FCDO. This is the collaboration between Aberystwyth University, MFU, Royal Department of Forestry, Geo-Informatics and Space Technology Development Agency (GISTDA, Thailand). This project aims to integrate spatial-temporal information received from remote sensing images for the risk assessment of forest fire, which is disseminated to the public via an online map platform (hosted by MFU and GISTDA). In addition, he is awarded a visiting professor grant to work in the project ‘A Responsible Educational Approach to Generative Al Workforce in Thailand’, July-December 2024. This is another international collaboration with Faculty of Humanities and Social Sciences (Khon Kaen University, Thailand).

A new project ‘Strengthening UK-Vietnam food safety research with AI and data science technologies’ funded by ISPF-British Council: International Research Empowerment Programme 2025-2026 shall be carried out from April 2025 to March 2026. This presents interesting interdisciplinary research investigated by Aberystwyth (Computer Science and IBERS) and International-University, Vietnam National University (School of Biotechnology). The project is also supported by Bezos Centre for Sustainable Protein at Imperial College London, the network of Vietnam institutes and industrial partners.