Date Posted : 2023-07-27
School of Information, Computer, and Communication Technology (ICT)
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Education
- 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
ACADEMIC AWARDS
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2020-2022 Doctoral Research Fellow (DRF) Special type
scholarship granted by the Japan Advanced Institute of Science and Technology
RESEARCH AREAS
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Application of machine learning/ AI in games
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Procedural Content Generation (PCG) in games
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Randomness in games
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Human-like AI
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Serious games (e.g., educational games, games for
supporting medical students, etc.)
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Improving game entertainment
RESEARCH INTERESTS
My
research interest is mainly related to but not limited to games, encompassing
the application of machine learning and AI in gaming, the development of
innovative algorithms to enhance various facets of game entertainment, and
Human-Computer Interaction (HCI) within gaming contexts. My current research is
related to the investigation of randomness in games, and the development of
Pseudorandom algorithms in games. I am open to other research ideas related to
games, machine learning/AI, or subjects related to computer science.
Scholarship opportunity for graduate students with outstanding performance is available,
please feel free to contact me for further discussions.
LIST OF PUBLICATIONS
Journal / Articles- 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- 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- Nam, S., Rerkjirattikal, P. (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.
