SAL > Professor
Professor
Seungmin Park
Associate ProfessorAssociate Professor · Ph.D.
Dept. of Computer Engineering, Jeju National University
Biography
Prof. Seungmin Park researches Intelligent Systems, Artificial Life, Machine Learning, and Optimization Theory at the Department of Computer Engineering, Jeju National University. His specializations include evolutionary computation, physics-informed neural networks (PINN), and brain-computer interfaces (BCI).
He leads the SAL (Soft Artificial Life) Laboratory, conducting various research projects with graduate and undergraduate researchers in artificial life simulation, intelligent systems, machine learning applications, and optimization.
Education
- • Ph.D. in Control & Systems Engineering, Intelligent Systems — Chung-Ang University (Feb. 2019)
- • B.S. in Electrical & Electronic Engineering — Chung-Ang University (Feb. 2010)
Contact
- Email: spark@jejunu.ac.kr
- Specializations: Intelligent Systems / Optimization Theory / Evolutionary Computation / PINN
Career
- • Associate Professor, Dept. of Computer Engineering, Jeju National University (Mar. 2026 – Present)
- • Assistant/Associate Professor, Dept. of Software, Dongseo University (Oct. 2019 – Feb. 2026)
- • Executive Committee Member, Industrial AI Standardization Forum (Oct. 2021 – Present)
- • General Affairs Director, Korean Institute of Intelligent Systems (Feb. 2021 – Present)
- • Director, Korea Association of Computer Information (Mar. 2020 – Present)
- • Postdoctoral Researcher, Chung-Ang University (Mar. 2019 – Sep. 2019)
Research Interests
Research on the design and application of intelligent systems including multi-agent systems, intelligent control, and brain-computer interfaces (BCI)
Studying emergent behavior, self-organization, and adaptation mechanisms in multi-agent-based artificial life systems through computer simulation
Researching machine learning algorithms such as deep learning and reinforcement learning, and applying them to real-world data-driven problem solving
Researching nature-inspired optimization algorithms such as evolutionary computation, metaheuristics, and physics-informed neural networks (PINN)
Selected Publications
Schizophrenia Detection and Classification: A Systematic Review of the Last Decade
S. Park, et al.
Diagnostics (MDPI), 2024
Enhancing Control Systems through Type-3 Fuzzy Logic Optimization
P. Ochoa, C. Peraza, P. Melin, O. Castillo, S. Park, Z. W. Geem
Mathematics (MDPI), 2024
KoGPT-2 Integrated SSVEP-Based BCI for Efficient Language Processing
S. Oh, D. Cho, S. Park, M. Moon
Conference, 2025
EEG Electrode Selection Method based on BPSO with Channel Impact Factor
S. Park, J. Kim, K. Sim
Optik (Elsevier), 2018
Harmony Search-based Hidden Markov Model Optimization for Online Classification of Single Trial EEGs
S. Park, K. Ko, K. Sim
International Journal of Control, Automation and Systems (Springer), 2013
Trial Pruning based on Genetic Algorithm for Single-Trial EEG Classification
S. Park, et al.
Computers & Electrical Engineering (Elsevier), 2012
Research Projects
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Patents
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No. 10-XXXXXXX · 20XX
Example Patent Title 2
No. 10-XXXXXXX · 20XX