Youngil Shin
M.S. Student, ICNL, Korea University
- Email: singsinghae@korea.ac.kr
- Tel. (+82) 10-9347-7286
- [ICNL Lab]
- No. 507B, Woojung Hall of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, South Korea
Youngil Shin is currently an M.S. student in the Department of Computer Science and Engineering at Korea University, working with Prof. Jeongho Kwak in the Intelligent Computing & Networking Laboratory (ICNL). His research interests include resource allocation in AI-RAN, and real-time video assistants. In particular, he studies the joint allocation of computing and network resources for AI inference in dynamic environments, considering practical constraints such as energy, latency, and limited computing capacity.
Education
- M.S. Student, Department of Computer Science and Engineering, Korea University. Advisor: Prof. Jeongho Kwak. Mar. 2026 – Present.
- B.S. in Biomedical Engineering and Artificial Intelligence, Korea University. Mar. 2019 – Aug. 2025.
Research Interests
- Resource Allocation in AI RAN
- Real-Time Video Assistants
Publications
Domestic Conferences
- Youngil Shin and Jeongho Kwak*, “Energy-Efficient Joint Processing and Routing Control for Smart City,” KICS Summer Conference, Jeju, Korea, Jun. 2026.
* Corresponding author.