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Computer Science Professor Yoon Seok Yang Secures KRW 4.5 Billion Government Funding for Personalized Epilepsy Seizure Prediction 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 Institute (KETI), SUNY Korea, and Soso H&C, bringing together expertise in clinical epilepsy research, wearable biosignal technology, medical AI, and On-Device AI. The project aims to develop a personalized wearable system capable of detecting, classifying, and predicting epileptic seizures using multimodal biosignals, including electroencephalography (EEG), electrocardiography (ECG), photoplethysmography (PPG), and motion data. A key ojective of the project is the implementation of energy-efficient AI models directly on wearable devices. Through low-power On-Device AI, the system is designed to enable real-time seizure monitoring and early warning while minimizing reliance on external computing infrastructure. At SUNY Korea, Prof. Yang and his research team are responsible for developing energy-efficient AI models for seizure detection and prediction, with a particular focus on personalized learning and ultra-low-power On-Device AI for wearable EEG devices. During the first phase, the consortium will focus on developing a Neck-Band EEG device and Galaxy Watch-based Software as a Medical Device (SaMD), together with clinical data collection and validation. The later stages will focus on improving personalized seizure prediction, developing a next-generation In-ear EEG device, and completing clinical validation and regulatory approval. Through this project, Prof. Yang’s team will apply SUNY Korea’s expertise in energy-efficient AI, On-Device AI, and intelligent computing systems to address real-world challenges at the intersection of artificial intelligence, wearable technology, and digital healthcare. Prof. Yoon Seok Yang is an Assistant Professor in the Department of Computer Science at SUNY Korea. He received his Ph.D. in Computer Engineering from Texas A&M University and previously worked as a Senior Research Scientist at Intel Labs and a Staff Research Engineer at Google. His research focuses on energy-efficient AI, On-Device AI, and intelligent computing systems.
2026.09.17 Hits 11
SUNY Korea Hosts AI Industry–Academia Collaboration Symposium The AI Industry–Academia Collaboration & Curriculum Integration Symposium was held on Friday, February 13, 2026, at the Songdo Central Park Hotel. The event was co-hosted by SUNY Korea and the Inha University Office of Industry–Academic Cooperation, with support from the Incheon Metropolitan Government’s I-RISE program. The event brought together faculty members and industry professionals to explore collaborative strategies for advancing AI education and workforce development in the region. Five professors from the Computer Science department presented SUNY Korea’s vision for AI, highlighting research strengths in on-device AI, machine learning and deep learning, intelligent transportation systems, and human-centered AI. More than just a networking session, the symposium aimed to build a bridge between academia and industry by identifying current demand for AI technologies and talent, integrating industry needs into academic curricula, and establishing practical models for internships and field training. The program featured an overview of SUNY Korea’s AI research ecosystem, presentations led by CS professors, an industry panel discussion on workforce trends, and an open discussion session on designing industry-linked AI curricula and internship opportunities.
2026.02.20 Hits 5980