MISL Research Unit

Background of Rational Criteria

To enable Thailand to make a leap forward in science and technology and to align with the national strategy on ‘building competitive capabilities,’ with a focus on ‘future industries and services.’

To make Mahasarakham University a central hub for research and innovation in artificial intelligence in Thailand, and to serve as a gathering place for national and international researchers to present their research at the international conference titled ‘Multi-disciplinary International Conference on Artificial Intelligence (MIWAI).’

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Objectives

1. To be a research unit with expertise in education and research related to artificial intelligence, focusing on research in Deep Learning, Multiagent, and Simulation.
2. To develop knowledge in research, books, and textbooks related to artificial intelligence research and other related fields.
3. To be a unit for disseminating new knowledge and providing academic services to organizations and individuals interested in applying artificial intelligence to solve problems.

Goals

1. To create and develop research and innovations related to artificial intelligence.
2. To establish academic collaborations at national and international levels.
3. To provide academic services and transfer knowledge to organizations that wish to apply artificial intelligence to solve problems.
4. To produce at least three research papers annually for publication in international academic journals.
5. To produce master’s and doctoral graduates.

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Achievement

Funding Year 2024

• Jarutan, P., Hanyong, T., Bussabong, Z., Okafor, E., & Surinta, O. (2025). Fusion of Convolutional Recurrent Neural Network and Language Models for Text Recognition. ICIC Express Letters, Part B: Applications, 16(1), (Scopus Q4), Accepted.
• Choompookham, T., Phiphitphatphaisit, S., Okafor, E., & Surinta, O. (2024). Robust Model Selection for Plant Leaf Image Recognition Based on Evolutionary Ant Colony Optimization with Learning Rate Schedule, IEEE Access. https://doi.org/10.1109/ACCESS.2024.3457753 (Accepted). (ISI Q2, Impact Factor 3.4: Scopus Q1, CiteScore 9.0, Percentile 92%)
• Sangkatip, W., Chomphuwiset, P., Bunluewong, K., Mekruksavanich, S., Okafor, E., & Surinta, O. (2024). Improving Neural Network-Based Multi-Label Classification with Pattern Loss Penalties. IEEE Access, 12, 52237 – 52248. https://doi.org/10.1109/ACCESS.2024.3386841 (ISI Q2, Impact Factor 3.4, Scopus Q1, CiteScore 9.0, Percentile 92%)
• Boonsirisumpun, N., Okafor, E., & Surinta, O. (2024). Vehicle image datasets for image classification. Data in Brief, 53, 110133. https://doi.org/10.1016/j.dib.2024.110133 (Scopus Q1)

Funding Year 2023

• Sungsri, T., Sungsri, T., Okafor, E., & Surinta, O. (2025). Fusion-Based Convolutional Recurrent Neural Network for Improved Dynamic Thai Fingerspelling Recognition. ICIC Express Letters, Part B: Applications, 16(2), (Scopus Q4), Accepted.
• Sungsri, T., Sungsri, T., Okafor, E., & Surinta, O. (2025). Multimodal Emotion Recognition Based on Hybrid Ensemble Deep Learning Framework. ICIC Express Letters, Part B: Applications, 16(2), (Scopus Q4), Accepted.
• Bussabong, Z., Jarutan, P., Okafor, E., & Olarik, O. (2025). Enhancing Image Caption Performance with Improved Visual Attention Mechanism. ICIC Express Letters, Part B: Applications, 16(1), (Scopus Q4), Accepted.

Extra publication

• Rojarath, A., Jantama, T., Srirat, W., Mookpakdee, N., khumwiso, K., &  Surinta, O. (2024). Factors analysis affecting stroke disease using association rules. Journal of Science and Technology Mahasakham University, 43(3), 206-222. (TCI 1)

Teaching Document

• Surinta, O. (2022). Python Programming. Faculty of Informatics, Mahasarakham University

International Conference

• The 17th Multi-disciplinary International Conference on Artificial Intelligence (MIWAI), November 11-15, 2024, The Sign Hotel Pattaya, Thailand
• The 16th Multi-disciplinary International Conference on Artificial Intelligence (MIWAI), July 21-22, 2023, CVR College of Engineering, Hyderabad, Telangana, India

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Members

Academic Partners

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Reaserch Team

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