Korea Maritime & Ocean University, Research in Intelligent Mobility Systems Lab.
Research in Intelligent Mobility Systems [ RiMS ]
Human-Centered Smart Mobility Themes
#Autonomous Vehicle Control #AI-Powered Hybrid Control #Artificial Intelligence # C-ITS #Socially Aware Vehicle Control
Dr. Donghoon Shin is an Assistant Professor at the Department of Aritificial Intelligence Engineering at Korea Maritime & Ocean University(KMOU). He directs the interdisciplinary research lab RiMS (Research in Intelligent Mobility Systems) at KMOU, working on integrating the "human-centered" topic with "control" systems aspects using AI in Robotics, Mobility Dynamics, and Autonomous Driving Systems. He is also a vice president of the Korea Auto Vehicle Safety Association (KASA) and used to be a vice president of IEEE Seoul Chapter. Prior to this, he was an Associate Reseaerch Professor at the Future Mobility Technology Center at Seoul National University, an Assistant Professor at Sookmyung Women’s University, and Korea Naval Academy. He received his Ph.D. in 2017 from Seoul National University. He is currently serving as the Editor in Chief (EIC) for Journal of Korea Auto Vehicle Safety Association. His core research interests are in Automated Driving Vehicle, Control Systems (AI-Powered Hybrid Control, Steering Torque Feedback Control, Vehicle Control for Ultimate Ride & Handling Performance), Machine Learning, 4D Radar Target Perception, Advanced Driver Assistance Systems(ADAS) considering human factors, and socially aware motion planning for mobile robot. He has advised and co-advised multiple M.S. and Ph.D. students. He has authored over 50+ papers, 190+ citations and his work has won multiple awards at top Control Systems/Vehicle/Transportation Systems conferences, and Autonomous Vehicle Competitions two years in a row. Recently he has been proudly awarded “Young Scientist Award '' from the Korea Automobile Importers & Distributors Association (KAIDA). His research involves novel combinations of methods and collaborations in control systems, machine learning, human factor research, vehicle testing and physically-based simulation to develop real-time computational models to learn human behaviors. Dr. Shin has been actively working with many research labs, including Mercedes-Benz, Hyundai Motor Company, National Research Foundation (NRF), and the Ministry of Korea National Defense. Dr. Shin's research has been featured on KBS, Chosun, Chungang, Maeil Economics, Hankyoreh etc.
2024 Autonomous Mobility Competition : Best Preliminary Round Team
2024 T-Boat Demonstration with Best Research Award from KSME Spring Conference
2023 C-ITS Demonstration on KATRI Test bed
Our Research is selected as an Outstanding Research of Hyundai-KIA
Congratulations! Research Project with Hyundai-Kia has been Initiated ('22. July)
Congratulations! Alumni 박창주 ( PARK, CHANG JU ) , 해군 대위
교수요원 선발 및 美 석사과정 합격 국비 장학생 선정 (2022)
Electrical Engineering | Texas A&M University Engineering
Midshipman (Undergraduate Research Assistant)
Research Interests : Autonomous Vehicle and Collision Risk
Prime Minister Award (Magna cum laude 우등졸업 국무총리상)
B.S. (Class of 2019)
Department of Mechanical Engineering
Republic of Korea Naval Academy
Personalizing Driving Style of Automated Vehicle
For Seamless Training of Individual Driver
Imitates Every Single Driving Pattern using Neural Network
Creates Deep Neural Network for Imitation of Individual Driver
Optimization of Deep Neural Network using Architecture Search
Individualized Network Design for Every Single Driver
Automatically create neural network using Architecture Search
Efficient and Effortless Design Process while ensuring Training Performance
Automated Delivery System through Unmanned Ground Vehicle
Research Issues :
Perception using LiDAR / Camera,
Decision by Deep Learning
Actuator Control through Robust Control/ Model Predictive Control
Applications :
Automated Food and Document Delivery Systems
Provide Safety Guidance and Information Service interacting with Human
Verification of the algorithm is carried out through anti-submarine high value unit (HVU) escort mission simulations
Title " Design of Warship Simulation Using Variable-Chromosome Genetic Algorithm "
Collaborated with Korea Aerospace University & Naval Academy
https://www.mdpi.com/2076-3417/9/19/4131