Minseok Kong

My current research interests encompass generative AI, particularly delving into multi-agent systems.

Education

Sogang University (SGU) M.S. in Computer Science and Engineering - Advised by Prof. Jungmin So.	Seoul, South Korea Feb 2022 - Aug 2024
University of Toronto (UofT) M.S. in the Faculty of Applied Science and Engineering - IITP Applied AI Program	Toronto, Canada Jan 2024 - Jun 2024
Sogang University (SGU) B.S. in Economics and Bigdata Science	Seoul, South Korea Feb 2014 - Feb 2022

Projects

Real-time Motorcycle Tracking Leveraging YOLOv7 on Jetson Nano September 2022 – December 2022	By leveraging YOLOv7 to an embedded system (NVIDIA Jetson Nano), tracking motorcycles on the road in real-time.
ContextAug: Combat Contextual-bias augmentation method for Multi-Label Classification September 2022 – December 2022	The proposal of ContextAug, a data augmentation methodology aimed at mitigating visual biases among co-occurring objects, integration into vision models to reduce contextual bias and enhance multi-label classification performance to some extent.

Publications

	Simulating Mobile Robot Vision: An Analysis of RGB-D versus RGB-Based Distance Accuracy and CPU Optimization Minseok Kong, Jiho Park, Daye Lee, Nikolaos Kourtzanidis and Jungmin So ICAIIC, 2025
	Empirical Analysis of Automated Stock Trading Using Deep Reinforcement Learning Minseok Kong and Jungmin So MDPI Applied Sciences, 2023