PRINCIPAL INVESTIGATOR

백동희 Dong-Hee Paek, Ph.D.Dong-Hee Paek Ph.D.

고려대학교 미래모빌리티학과Department of Mobility Science and Engineering, Korea University · 조교수Assistant Professor

dhpaek@korea.ac.kr +82-44-860-1381 고려대학교 세종캠퍼스 가속기ICT융합관 302호Room 302, Accelerator ICT Convergence Building, Korea University Sejong Campus

PublicationsGoogle Scholar

4D 레이더 AI 인지와 센서 융합을 연구합니다. KAIST에서 학위를 받았으며, 70여 개 글로벌 기관이 사용하는 대규모 4D 레이더 데이터셋 K-Radar(NeurIPS 2022)를 구축했습니다. 칼만 필터·베이지안 상태 추정, FMCW·MIMO 레이더 신호처리, 자율주행용 딥러닝을 아우르며, IEEE ICRA·IV 튜토리얼과 EuMW 단기강좌를 통해 4D 레이더 AI 연구 커뮤니티와 활발히 교류하고 있습니다.Prof. Paek works on AI perception with 4D radar and multi-modal sensor fusion. He built K-Radar (NeurIPS 2022), a large-scale 4D radar dataset now used by 70+ institutions worldwide. His expertise spans Kalman filtering and Bayesian state estimation, FMCW/MIMO radar signal processing, and deep learning for autonomous driving, and he has organized tutorials at IEEE ICRA and IV and a short course at EuMW.

학력Education

2025.10 – 2026.08Oct 2025 – Aug 2026

KAIST 박사후연구원Postdoctoral Researcher, KAIST

2025.08Aug 2025

KAIST 공학박사 (Graduate School of Mobility)Ph.D., Graduate School of Mobility, KAIST

2021.08Aug 2021

KAIST 공학석사 (Robotics Program)M.S., Robotics Program, KAIST

2019.08Aug 2019

광운대학교 공학사 (Robotics)B.S., Robotics, Kwangwoon University

수상Honors

• KAIST Global Leadership Award (총장상)KAIST Global Leadership Award (President's Award)
• K-Radar, 2022년 KAIST 주요 연구성과 선정K-Radar selected as a KAIST Research Highlight of 2022

경력Experience

2026.09 – 현재Sep 2026 – Present

고려대학교 세종캠퍼스 미래모빌리티학과 조교수Assistant Professor, Dept. of Mobility Science and Engineering, Korea University Sejong

2024 – 20252024 – 2025

제타모빌리티 Senior Research Engineer (자율주행 센서퓨전 AI)Senior Research Engineer, Zeta Mobility (AI sensor fusion for autonomous driving)

튜토리얼 · 초청 강연Tutorials & Invited Talks

• 2026 EuMW 2026 (London) EuRAD 단기강좌 SF03 “Beyond Vision: 4D Radar and Sensor Fusion AI for Robust Perception” Co-ChairCo-Chair, EuRAD Short Course SF03 “Beyond Vision: 4D Radar and Sensor Fusion AI for Robust Perception”, EuMW 2026, London
• 2026 IEEE ICRA 2026 (Vienna) 튜토리얼 “Shifting Input Paradigms in 4D Radar AI: From Point Clouds to Raw ADC” 및 Radar Workshop 초청 강연Tutorial “Shifting Input Paradigms in 4D Radar AI: From Point Clouds to Raw ADC” and invited talk at the Radar Workshop, IEEE ICRA 2026, Vienna
• IEEE ICRA · IV half-day 튜토리얼 진행Half-day tutorials at IEEE ICRA and IEEE IV