Faculty Research Profile
Hoon Lee
학력
· 2017, Ph.D in Electrical Engineering,Korea University
· 2012, B.S. in Electrical Engineering,Korea University
주요 경력
· 2023~Present: Associate Professor, UNIST
· 2022~2023, Associate Professor, Pukyong National University
· 2019~2022, Assistant Professor, Pukyong National University
· 2018, Research Fellow, Singapore University of Technology and Design
· 2017, Postdoc. Fellow, Korea University
수상/학회/외부활동
· 2021~Present, Editor, IEEE Wireless Communications Letters
· 2022, 2023, Best Paper Award, KICS Winter Conference
· 2021, 202, Best Paper Award, KICS Summer Conference
· 2021, Best Paper Award, IEIE Fall Conference
· 2020, Best Young Researcher Award, Pukyong National University
· 2017, BK21PLUS Best Graduate Student Award, Korea University
· 2016, Silver Best Paper Award, IEEE Seoul Section
· 2016, KU Graduate Student Achievement Award, Korea University
인공지능 & 통신네트워크 연구실
AI & Communications Networks Lab (ACNL)
ACNL은 인공지능 기술을 활용하여 차세대 통신네트워크를 최적화하는 연구를 수행하고 있습니다. 특히, 5G/6G 통신 시스템의 지능형 코어망 구조를 설계하는 요소 기술의 개발에 초점을 맞추고 있습니다. 이러한 기반기술 연구를 통해 자율주행, 군집 무인기, 저궤도 위성 시스템 등에서, 분산 기기들이 자율적으로 네트워크를 형성하고, 스스로 동작을 제어하는 지능형 통신네트워크 솔루션을 개발하는 것이 목표입니다.
ACNL aims at developing AI/ML solutions for the next-generation wireless communications networks. Our main focus lies in building anovel intelligent radio access network architecture, which is a key component of 5G/6G systems. This fundamental research will lead tointelligent networking solutions facilitating self-organizing and autonomous control of distributed wireless devices in core 5G/6Gapplications, including vehicular networks, swarm UAV systems, and LEO satellite communications.
ACNL aims at developing AI/ML solutions for the next-generation wireless communications networks. Our main focus lies in building anovel intelligent radio access network architecture, which is a key component of 5G/6G systems. This fundamental research will lead tointelligent networking solutions facilitating self-organizing and autonomous control of distributed wireless devices in core 5G/6Gapplications, including vehicular networks, swarm UAV systems, and LEO satellite communications.
연구분야
분산 네트워크 최적화, 무선통신을 위한 AI/ML 기술, 다중안테나 시스템, 시맨틱 통신
Decentralized wireless networks,AI/ML for wireless communications & multi-antenna signal processing, Semanticcommunications
연구주제
· 다중안테나 송수신기 설계
· 분산 네트워크 최적화
· 대규모언어모델 기반 네트워크 관리
· 에지/포그 컴퓨팅 네트워크를 위한 지능형 에지 설계
· 지능형 군집 자율주행체의 측위 기술
· Multi-antenna transceiver optimization
· Resource management for distributed wireless networks
· LLM-based network optimization
· Intelligent edge design for edge/fog computing networks
· Localization and navigation control for swarm intelligent vehicles
· Multi-antenna transceiver optimization
· Resource management for distributed wireless networks
· LLM-based network optimization
· Intelligent edge design for edge/fog computing networks
· Localization and navigation control for swarm intelligent vehicles
국가연구개발사업 기술 분류체계
국가과학기술표준분류
EE. 정보/통신 > EE06. 이동통신 > EE0602. 이동통신 시스템
논문
· H. Lee, H. K. Kim, S. Oh, and S. H. Lee, "Machine Learning-Aided Cooperative Localization under Dense Urban Environment," IEEE Vehicular Technology Magazine, 2024
· H. Lee and S.-W. Kim, "Task-Oriented Edge Network: Decentralized Learning Over Wireless Fronthaul," IEEE Internet of Things Journal, 2024
· J. Kim, *H. Lee, S.-E. Hong, and S.-H. Park, "A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization," IEEE Transactions on Wireless Communications, 2023
특허
· Method for Deep Learning Based Distributed Multi-Objective Optimization, Computer Program, and Apparatus Therefor, US patent,17/721753, 2022
· Deep Learning Based Beamforming Method and Apparatus, US patent, 17/308826, 2021