은용순
Eun, YongsoonDepartment of Electrical Engineering and Computer Science
학력
- 1998 ~ 2003미시간대 박사
- 1995 ~ 1997서울대학교 석사
- 1988 ~ 1994서울대학교 학사
경력
- 2003 ~ 2012제록스 / 연구원
- 1997 ~ 1998서울대학교 제어계측신기술연구센터 / 연구원
수상실적
- 2014 공로상 / DGIST
- 2011 Xerox Innovation Group Excellence in Science and Technology Award / 미국 제록스사 연구그룹
- 2000 Outstanding Graduate Student Instructor Award / 미국 미시간 대학 전기공학과
- 1997 Young Author Award / Asian Control Conference
연구실 소개
- Dynamic Systems and Control Laboratory
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The Dynamic Systems and Control Laboratory is led by Professor Yongsoon Eun.
Our group main research interest includes resiliency of control systems, resilient cyber-physical systems, smart factories and production systems engineering, control systems with nonlinear instrumentation, network systems control, and intelligent transportation systems.
We develop mathematical theories and novel experimental methods for modeling, simulation, analysis, and control of different fields of mechanical and cyber systems.
We work on various topics including:
- Resilient Cyber-Physical Systems - Quadrotor Control - Linear plant / Nonlinear implementation - Production system engineering - Resilient control for train systems - Network systems control
- "Expert-level differentiation of incomplete Kawasaki disease and pneumonia from echocardiography via multiple large receptive attention mechanisms", Lee, Haeyun. (2025-09). Expert-level differentiation of incomplete Kawasaki disease and pneumonia from echocardiography via multiple large receptive attention mechanisms. Computers in Biology and Medicine, 195. doi: 10.1016/j.compbiomed.2025.110478
- "Online Sensor Fault Detection and Toleration for Four-wheeled Skid-steered UGV", An, Youngwoo. (2025-06). Online Sensor Fault Detection and Toleration for Four-wheeled Skid-steered UGV. International Journal of Control, Automation, and Systems, 23(6), 1839–1850. doi: 10.1007/s12555-024-0835-y
- "Buffer Parameter Optimization for Advanced Automated Material Handling Systems in Serial Production Lines", Kim, Seunghyeon. (2024-11). Buffer Parameter Optimization for Advanced Automated Material Handling Systems in Serial Production Lines. International Journal of Control, Automation, and Systems, 22(11), 3377–3385. doi: 10.1007/s12555-024-0040-z
- "Quadrotor Dynamics in a Wind Field: Equilibria Analysis and Energy Dissipation", Kwon, Minhyeok. (2024-11). Quadrotor Dynamics in a Wind Field: Equilibria Analysis and Energy Dissipation. International Journal of Control, Automation, and Systems, 22(11), 3275–3284. doi: 10.1007/s12555-024-0048-4
- "Throughput Approximation by Neural Network for Serial Production Lines With High Up/Downtime Variability", Kim, Seunghyeon. (2024-03). Throughput Approximation by Neural Network for Serial Production Lines With High Up/Downtime Variability. IEEE Transactions on Industrial Informatics, 20(3), 4227–4235. doi: 10.1109/TII.2023.3321026
- "Multi-UGV Task Reallocation for Sensor and Actuator Faults", An, Youngwoo. (2024-10-31). Multi-UGV Task Reallocation for Sensor and Actuator Faults. 24th International Conference on Control, Automation and Systems, ICCAS 2024, 743–747. doi: 10.23919/ICCAS63016.2024.10773053
- "Data-Driven System Interconnections and a Novel Data-Enabled Internal Model Control", Pedari, Yasaman. (2024-07-12). Data-Driven System Interconnections and a Novel Data-Enabled Internal Model Control. 2024 American Control Conference, ACC 2024, 4326–4332. doi: 10.23919/ACC60939.2024.10644828
- "The Value of In-Line Metrology for Advanced Process Control: AM: Advanced Metrology", Lee, Jaeho. (2024-05-14). The Value of In-Line Metrology for Advanced Process Control: AM: Advanced Metrology. 35th Annual SEMI Advanced Semiconductor Manufacturing Conference, ASMC 2024, 1–4. doi: 10.1109/ASMC61125.2024.10545372
- "Explainable Multiple Receptive Attention Network for Expert Cardiologist Compatible Incomplete Kawasaki Disease Diagnosis on Echocardiography", Lee, Kyungsu. (2024-02-05). Explainable Multiple Receptive Attention Network for Expert Cardiologist Compatible Incomplete Kawasaki Disease Diagnosis on Echocardiography. 1st IEEE International Conference on Artificial Intelligence for Medicine, Health and Care, AIMHC 2024, 243–250. doi: 10.1109/AIMHC59811.2024.00050
- "Compensating for Size Effect in Shear Wave Elastography Using Deep Neural Networks", Lee, Seungyeop. (2023-10-19). Compensating for Size Effect in Shear Wave Elastography Using Deep Neural Networks. International Conference on Control, Automation and Systems, ICCAS 2023, 1304–1307. doi: 10.23919/ICCAS59377.2023.10316907
연구 뉴스
- Novel Resilient State Estimation Method for Process Control in Cyber-Physical Systems 2021-08-20
- 해킹 공격에도 시스템 상태를 정확히 추정하는 새로운 보안 알고리즘 개발 2021-08-10
- 공격탐지와 시스템 복구가 스스로 가능한 새로운 보안기법 개발 2021-02-25
- Cutting off Stealthy Interlopers: A Framework for Secure Cyber-Physical Systems 2021-02-25
- DGIST, 대구 3호선 지하철 안전 책임진다(2018.04.18) 2018-04-18
연구분야
미래유망 신기술(6T)
국가과학기술표준분류