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SUNY Korea Department of Computer Science Professors Advance Strategic R&D Planning in Robotics and Energy-Efficient AI 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&D planning initiatives in next-generation robotics and energy-efficient AI, strengthening the university’s engagement with Korea’s national research and innovation ecosystem. The initiatives are part of a collaborative program supported by the Ministry of Trade, Industry and Energy (MOTIE) and the Incheon Global Campus (IGC), designed to foster industry–academia–research cooperation and identify promising research areas for future national and international collaborative R&D. Professor Francois Rameau is leading a research planning initiative in AI-powered robotics and spatial intelligence, exploring technologies for next-generation intelligent robotic systems that can better perceive, understand, and interact with complex real-world environments. The research area is being further explored in collaboration with KATECH (Korea Automotive Technology Institute) as part of the robotics technology R&D planning process. Through technical discussions and expert consultation, the team will refine the research direction and explore opportunities for future collaborative R&D. Professor Zhoulai Fu is leading a research planning initiative in energy-efficient AI and machine learning, focusing on technologies that could improve the efficiency and sustainability of future AI computing systems. The research area is being further developed with KETI (Korea Electronics Technology Institute) in connection with advanced semiconductor and AI computing technologies. The planning process will explore promising technological directions and collaborative opportunities for future research in advanced AI and semiconductor technologies. Kick-off meetings with the respective research teams and partner institutes have been completed, marking the beginning of the next stage of the R&D planning process. The selected research topics will now be further developed through technical consultation, collaborative planning, and engagement with potential research partners, with the goal of building competitive research concepts for future national and international R&D opportunities. This process provides SUNY Korea with an important opportunity to connect the expertise of its Computer Science faculty with leading Korean research institutes and to expand collaboration with industry, academia, and international research partners. The SUNY Korea Research Support Team (R&BDF) will work closely with Professors Rameau and Fu throughout the planning process, supporting coordination with research institutes, government-related organizations, and potential collaborative partners. Beyond the initial planning stage, R&BDF will continue to support the development of these research concepts into competitive R&D proposals and future funding opportunities, working together with the faculty and partner institutions toward successful project development and acquisition. Through this collaborative effort, SUNY Korea aims to strengthen a sustainable pathway from promising research ideas to strategic R&D planning, collaborative partnerships, competitive proposals, and future national and international R&D projects.
2026.09.18 Hits 3596
Computer Science Professor Yoon Seok Yang Leads SUNY Korea’s Research on Personalized AI for 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 2336
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 7707