이종훈
Lee, JonghunDivision of Mobility Technology
학력
- 1998 ~ 2002성균관대학교 박사
- 1996 ~ 1998성균관대학교 석사
- 1992 ~ 1996성균관대학교 학사
경력
- 2007 ~ Current영남대학교 / 겸임교수
- 2005 ~ Current(재)대구경북과학기술연구원 / 선임 연구원
- 2002 ~ 2005삼성전자 방송통신연구소 / 책임
수상실적
- 2016 장관표창 / 미래창조과학부
- 2012 기타표창 / DGIST
- 2007 공로상 / DGIST
- 2006 우수논문상
- 1999 우수논문상
연구실 소개
- Advanced Radar Tech. Lab
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The Department of Interdisplinary Engineering of DGIST has an opening for the graduate student with the following research focus area (Advisor: Prof. Jonghun Leen, Email: jhlee@dgist.ac.kr):1) radar processing (Deep/Mahcine Learning),
2) Automotive radar,
3) Vital Radar,
4) Sensor Fusion
Mission StatementsWe shall focus on making deep research on - unique, innovative and disruptive radar technology - radar application technology that has great industrial impact and is tightly linked to regional strategic industries - core breakthrough radar technology with significant depth, comprehensive academic achievements - defense and security radar technology that reflects publicity and improves people's lives according to Korean national demands - main research interests: Vehicle radar, biological radar, aviation and security radar, radar detection/identification and recognition technology, defense unmanned radar
Research Interests
Related Keyword
- "Radar Foot Gesture Recognition with Hybrid Pruned Lightweight Deep Models", Signals, v.6, no.4
- "건물 붕괴 모델에서 GPR의 교차피크 신호 검출기반 시간 지연 추정기법 제안", 양경택. (2025-02). 건물 붕괴 모델에서 GPR의 교차피크 신호 검출기반 시간 지연 추정기법 제안. 한국산업정보학회논문지, 30(1), 27–40. doi: 10.9723/jksiis.2025.30.1.027
- "Super-Resolution Angle Estimation Algorithm using Low Complexity MUSIC-Based RELAX for MIMO FMCW Radar", Kim, Bong-Seok. (2025-01). Super-Resolution Angle Estimation Algorithm using Low Complexity MUSIC-Based RELAX for MIMO FMCW Radar. Journal of Electromagnetic Engineering and Science, 25(1), 41–53. doi: 10.26866/jees.2025.1.r.277
- "Resolution Improvement Algorithm with Two Targets Using Envelope of the Beat Signals for FMCW Radars", IEEE Sensors Journal, v.25, no.2, pp.3529 - 3537
- "Sub-Terahertz Imaging-Based Real-Time Non-Destructive Inspection System for Estimating Water Activity and Foreign Matter Depth in Seaweed", Kwak, Dong-Hoon. (2024-12). Sub-Terahertz Imaging-Based Real-Time Non-Destructive Inspection System for Estimating Water Activity and Foreign Matter Depth in Seaweed. Sensors, 24(23). doi: 10.3390/s24237599
- "A Multi-template Correlation Time Delay Estimation in GPR System under a Building Collapse Model", 2025 IEEE Radar Conference, RadarConf 2025, pp.1231 - 1235
- "2D Spatial-Temporal Simulation of GPR Penetration in the 200-400MHz Band for Detecting Voids and Entrapped Persons in Multi-Layered Collapsed Building Structure", 2024 International Radar Conference, RADAR 2024, pp.1 - 4
- "Evaluating the Scalability of Soft Foreign Object Detection in Dry Foods Using Sub-Terahertz Radar and Deep-learning techniques", Song, Seungeon. (2024-09-06). Evaluating the Scalability of Soft Foreign Object Detection in Dry Foods Using Sub-Terahertz Radar and Deep-learning techniques. 49th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2024, 1–2. doi: 10.1109/IRMMW-THz60956.2024.10697861
- "MIMO Imaging Method with Extrapolation-Iterative Adaptive Approach-Based Super-Resolution Technique for Automotive Radar", 2024 IEEE Radar Conference, RadarConf 2024, pp.1 - 6
- "MIMO imaging method with iterative-based super-resolution for automotive radar", Kim, Bong-seok. (2024-04-19). MIMO imaging method with iterative-based super-resolution for automotive radar. 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024, 13031–13035. doi: 10.1109/ICASSP48485.2024.10447186
연구 뉴스
- New Technology Doubles Resolution Without Radar Replacement Using Novel Algorithms! 2024-12-30
- 레이더 교체 없이, 새로운 알고리즘으로 해상도를 2배 높이는 신기술 개발! 2024-12-19
- One Stop Control System Detecting Down Bad Drones 2017-05-30
- Radar Specialist Dr. Dae-Gon Oh, Division of IoT and Robotics Convergence Research 2016-08-30
- The Nation’s First Dual Channel Super-resolution Radar Technology Developed in DGIST 2016-07-05
연구분야
미래유망 신기술(6T)
국가과학기술표준분류