• Ph.D. in Information Science, Japan Advanced Institute of Science and Technology, Japan
• M.S. in Information Science, Japan Advanced Institute of Science and Technology, Japan
• B.S. in Computer Engineering, Chung-Ang University, South Korea

• Application of machine learning in games, AI in games
• Procedural Content Generation (PCG) in games, Player Modeling
• Randomness in games, Human-like AI, Teaching, assisting AI, Improving entertainment in games
• Serious games, Gamification, Human Computer Interaction (HCI)

Journal / Articles

• Pavinee Rerkjirattikal, Thant Thant Sin Han, Anderson Kevin Gwenhure, and SangGyu Nam. "Understanding the Effects of Gamification in E-Commerce on User Engagement, Motivation, and Loyalty: A Review and Conceptual Framework." Journal of Economics, Business and Management, pp. 378-382, 2025.

• Phung Phan Thi Kim, Pavinee Rerkjirattikal, SangGyu Nam, and Sun Olapiriyakul. "A Multi-Objective Vehicle Routing Model for Gender Equity in Freight Transport." Journal of Economics, Business and Management, pp. 388-392, 2025.

• Anderson Kevin Gwenhure and SangGyu Nam. "Gamified Cybersecurity Initiatives: The Trend, Limits and Lessons." Journal of Information Technology Education: Research, pp. 1-24, 2025.

• JaeHong Lee, Pavinee Rerkjirattikal, and SangGyu Nam. "A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods." Data, pp. 1-20, 2025.

• Sanggyu Nam, Chu-Hsuan Hsueh, Pavinee Rerkjirattikal, and Kokolo Ikeda. "Using Reinforcement Learning to Generate Levels of Super Mario Bros. With Quality and Diversity." IEEE Transactions on Games, pp. 807-820, 2024.

• SangGyu Nam, Chu-Hsuan Hsueh, and Kokolo Ikeda. "Generation of Game Stages with Quality and Diversity by Reinforcement Learning in Turn-based RPG." IEEE Transactions on Games (TOG), pp. 1-14, 2021.

Conference Proceedings

• Anderson Kevin Gwenhure and SangGyu Nam. "Beyond Cybersecurity Fatigue: A Framework for Cognitive Load-Aware Policy in Organizations." Proceedings of the 13th ASEAN Workshop on Information Science and Technology (AWIST), pp. 1-6, 2025.

• Raveekiat Singhaphandu, Pavinee Rerkjirattikal, Eaint Hmue Khin, and SangGyu Nam. "A Token-to-Label-to-Pattern Approach for Toxic Chat Detection in Online Games." Proceedings of the MakeLearn and TIIM International Conference, pp. 1-8, 2025.

• JaeHong Lee, Pavinee Rerkjirattikal, and SangGyu Nam. "Toxic Chat Detection in Online Games Using Hybrid BERT and Character-level CNN." Proceedings of the MakeLearn and TIIM International Conference, pp. 1-8, 2025.

• SangGyu Nam, Chu-Hsuan Hsueh, and Kokolo Ikeda. "Procedural Content Generation of Super Mario Levels Considering Natural Connection." In: 2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE), Phitsanulok, Thailand, 2023, pp. 291-296, doi: 10.1109/JCSSE58229.2023.10202001.

• Chu-Hsuan Hsueh, Kokolo Ikeda, SangGyu Nam, and I-Chen Wu. "Analyses of Tabular AlphaZero on NoGo." In: The 2020 Conference on Technologies and Applications of Artificial Intelligence (TAAI), pp. 254-259, 2020-12, Taiwan.

• SangGyu Nam and Kokolo Ikeda. "Generation of Diverse Stages in Turn-based RPG using Reinforcement Learning." In: Conference On Games (COG), pp. 1-8, 2019-8, London.

• SangGyu Nam and Kokolo Ikeda. "Automatic Generation of States in Turn-based RPG Using Reinforcement Learning." In: 23rd Game Programming Workshop (GPW), pp. 160-167, 2018-11, Haneda.

• Sila Temsiririrkkul, Takahashi Kazuyuki, SangGyu Nam, and Kokolo Ikeda. "An Investigation of Human-likeness in Computer Game Players." In: Information Processing Society of Japan, 40th GI, vol. 7, pp. 1-6, 2018-6, Kochi University of Technology.

Book Chapter

• SangGyu Nam, Pavinee Rerkjirattikal. (2023). "Exploring the Impact of Randomness in Roguelike Deck-Building Games: A Case Study of Slay the Spire." In: Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2023. Lecture Notes in Computer Science(), vol 14375. Springer, Cham. DOI: 10.1007/978-3-031-46775-2_9.