Donghyeon Kim

Integrated M.S. & Ph.D. Student at ICNL, Korea University

Profile picture of Donghyeon Kim

Donghyeon Kim is currently an Integrated M.S. & Ph.D. student in the Department of Computer Science Engineering at KOREA University, working with Prof. Jeongho Kwak in the Intelligent Computing & Networking Laboratory (ICNL) at Korea University. His research focuses on resource allocation, artificial intelligence radio access network (AI-RAN), and connected physical AI. In particular, he studies how to jointly manage AI inference and device/network resources under practical constraints such as latency, AI accuracy, and resource efficiency.

Education

  • Ph.D. Student, Department of Computer Science Engineering, Korea University Advisor: Jeongho Kwak. Mar. 2025 – Present.
  • B.S., School of Undergraduate Studies, DGIST. Mar. 2021 – Feb. 2025.

Research Interests

  • Resource allocation in AI-RAN system
  • Connected physical AI

Awards and Honors

  • Korea Government Full Scholarship (8 consecutive undergraduate semesters).

Publications

Journal Articles (SCIE)

  1. Sinuk Choi, Pyeongjun Choi, Donghyeon Kim, Jeongho Kwak, and Ji-Woong Choi, “An Integrated Process-Network Load Balancing in Edge-Assisted Autonomous Vehicles Using Multimodal Applications With Shared Workloads,” IEEE Access, vol. 12, pp. 174654–174667, Nov. 2024.

Domestic Conferences

  1. Donghyeon Kim, Dongho Ham, and Jeongho Kwak, “6G AI-RAN 아키텍처에서의 다차원 자원과 AI 모델 할당 프레임워크,” Joint Conference on Communications and Information, Yeosu, Korea, Apr. 2026.

Patents (Domestic)

  1. Donghyeon Kim, Jeongho Kwak, Dongho Ham, and Sojung Lee, “다차원 자원 기반 동적 라우팅 방법,” KR 10-2025-0148861.

Projects

  • AI-Native 응용서비스 지원 AI 오케스트레이터 개발, 정보통신기술진흥센터 (IITP), Researcher, 2024.04 – 2028.12.

Skills

  • C/C++, Python, MATLAB
  • Deep Reinforcement Learning
  • LLM system implementation; mobile-cloud collaborative inference
  • Deep Reinforcement Learning

Contact