معرفی
Dr. Youngwook Ko is a Senior Lecturer in the Department of Electronic Engineering at the University of York. He holds a B.S.E. from Hannam University (South Korea), an M.Sc. from Arizona State University (USA), and a Ph.D. in Electrical Engineering from Arizona State University. His research focuses on applying machine learning and signal processing to wireless communications, including multi-dimensional index modulation, NOMA-ALOHA systems, and reinforcement learning-driven networks. Dr. Ko has authored/co-authored over 50 publications in top-tier IEEE journals and conferences.
Educational Background
- Bachelor of Science in Information and Communications Engineering, Hannam University, South Korea
- Master of Science in Electrical Engineering, Arizona State University, USA
- Ph.D. in Electrical Engineering, Arizona State University, USA
Research Interests
Dr. Ko's work centers on machine learning and signal processing for advanced wireless systems. Key areas include:
- Machine learning for 6G communications
- NOMA-ALOHA systems and reinforcement learning applications
- Multi-dimensional index modulation (IM) techniques
- Edge computing and network autonomy
Awards & Grants
Recipient of the EPSRC First Grant Award and member of the EPSRC Peer Review College. His editorial roles include the IEEE Open Journal of Vehicular Technology and Elsevier Journal on Physical Communications.
Grants & Collaborations
- EPSRC-funded project on smart farm radio technology
- International collaborations in 6G NTN, reinforcement learning, and digital twins
Labs & Teams
Conducts research within the Department of Electronic Engineering, focusing on next-generation wireless systems and AI-driven communication technologies.
