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How can researchers explore a place they have never visited? At the IGC Sebasi Special Lecture, this question connected Professor Jongseong Brad Choi’s research experiences with a broader message about curiosity, learning and his personal growth. Held on October 15, 2026, at the Incheon Global Campus Auditorium under the theme “Learn Bold, Lead Global: Leaping into a Wider World,” the event featured five speakers. Among them was Jongseong Brad Choi, Professor of Me

Professor Linda Kim in the Fashion Business Management Department at the Fashion Institute of Technology (FIT) at SUNY Korea participated as an exhibiting artist at the 2026 International Fashion Art Biennale, held from September 21 to October 31, 2026, at Youngwol Y Park in Gangwon Province, South Korea. Organized by the Korea Fashion & Culture Association, the ninth biennale brought together 74 artists from 10 countries under the theme “Sculpturing Space: Fashion.&rdqu

Professors Francois Rameau and Zhoulai Fu of the Department of Computer Science at SUNY Korea have been selected to participate in strategic R&D planning initiatives focused on next-generation robotics and energy-efficient AI. Through collaboration with leading Korean research institutes, the initiatives provide opportunities to develop their research concepts and establish pathways toward future national and international R&D projects. SUNY Korea has launched two strategic R&

Professor Yoon Seok Yang of the Department of Computer Science at SUNY Korea is participating in a KRW 4.5 billion government-funded R&D project to develop an AI-powered wearable system for personalized epilepsy seizure detection, classification, and prediction. Running from July 2026 through December 2030, the project has allocated KRW 500 million to SUNY Korea. Led by Oceansbio, the multidisciplinary consortium includes Samsung Medical Center, the Korea Electronics Technology Instit

Professor Mario Rüttgers of the Department of Mechanical Engineering at SUNY Korea has contributed as a co-author to a new study published in Nature. The work introduces HydroGym, a computational platform that brings together reinforcement learning and computational fluid dynamics to develop intelligent strategies for controlling fluid flows. One of the study’s key findings is that reinforcement-learning agents can learn flow-control strategies in one computational environment