On September 9, 2025, Dr. Y. Eugene Pak, Dean of Academic Affairs and Professor of Mechanical Engineering at SUNY Korea, delivered a special seminar at the General Motors Technical Center Korea (GMTCK) in Incheon. The event brought together approximately 70 participants from GMTCK, who were strongly interested in the intersection of advanced engineering and automotive innovation.
Dr. Pak’s lecture, titled “Technology Innovations in Formula One Racing Cars and Their Applications in Production Vehicles,” explored how cutting-edge developments in powertrains, chassis, suspension, materials, and aerodynamics not only define the world of Formula One (F1) but also shape the future of consumer vehicles. He highlighted the transfer of F1 innovations, such as lightweight composite materials and advanced aerodynamics, into mainstream automotive design.
Furthermore, the session also compared F1 with Formula E, offering insights into the rapid evolution of electric racing and its potential influence on the future of mobility. To provide a broader perspective, Dr. Pak incorporated a historical overview of F1, legendary drivers, and iconic circuits that continue to inspire engineers and enthusiasts alike.
The seminar at GMTCK underscored SUNY Korea’s commitment to bridging academia and industry through impactful knowledge-sharing. By connecting the thrill of motorsport innovation with practical applications in production vehicles, Dr. Pak inspired participants to view engineering as both a technical challenge and a platform for advancing future mobility.
Dr. Y. Eugene Pak earned his B.S. at SUNY Buffalo and his M.S. and Ph.D. at Stanford University in Mechanical Engineering. His current research focuses on the theoretical and computational mechanics of smart materials, including nanoscale modeling of virus shells for drug delivery applications.
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