Yuntae Park received his BS and MS degree in Computer Engineering from Kwangwoon University in Seoul, South Korea.

His research interests include machine learning algorithms, deep learning, and reinforcement learning, with a focus on spiking neural network-based control systems.

Publications

Journal Articles

• Yuntae Park†, Jiwoon Lee†, Donggyu Sim, Youngho Cho, Cheolsoo Park, “Designing Spiking Neural Network-Based Reinforcement Learning for 3D Robotic Arm Applications”, Electronics, 14, no. 3: 578, Jan. 2025 (SCIE, Co-first author: IF=2.6, JCR Top 45.3%)

• Choongseop Lee†, Yuntae Park†, Seongmin Yoon†, Jiwoon Lee†, Youngho Cho, Cheolsoo Park, “Brain-Inspired Learning Rules for Spiking Neural Network-based Control: A Tutorial”, Biomedical Engineering Letters, 2024 (SCIE, Co-first author: IF=3.2, JCR Top 54.1%)

• Yuntae Park, Unang Sunarya, Geunbo Yang, Choongseop Lee, Jaewoo Baek, Suwhan Baek, Cheolsoo Park, “Classification using a Spiking Neural Network: A Review”, IEIE Transactions on Smart Processing & Computing, 2023-02 (KCI, vol.12 No.01)