HOME

KAIST Cho Chun Shik Graduate School of Mobility
Cho Chun Shik Mobility Graduate School nurtures world-class professionals capable of leading the future mobility sector and strives to develop innovative mobility systems that surpass existing limitations.
KAIST Cho Chun Shik Graduate School of Mobility
Cho Chun Shik Mobility Graduate School nurtures world-class professionals capable of leading the future mobility sector and strives to develop innovative mobility systems that surpass existing limitations.
KAIST Cho Chun Shik Graduate School of Mobility
Cho Chun Shik Mobility Graduate School nurtures world-class professionals capable of leading the future mobility sector and strives to develop innovative mobility systems that surpass existing limitations.
KAIST Cho Chun Shik Graduate School of Mobility
Cho Chun Shik Mobility Graduate School nurtures world-class professionals capable of leading the future mobility sector and strives to develop innovative mobility systems that surpass existing limitations.

Department News

Dear Students, Greetings from the Graduate School of CCS Mobility. We are pleased to inform you that we are recruiting undergraduate research students (Junior
Our graduate student, Dr. Changwoo Lee(Advisor: In Gwun Jang) has been appointed as an assistant professor of AI Mobility Engineering at Ajou University as
As of March 1, Dr. Yoon Koo Lee has been appointed as an associate  professor in our department. Congratulation on your appointment and welcome

Research Field

Unmanned Autonomous Systems

It provides students with comprehensive learning of the theories, system analysis, and experimental aspects related to the unmanned automation of transportation systems, including autonomous vehicles and unmanned aerial vehicles (drones). Through experiments in system design and implementation, students gain interdisciplinary knowledge necessary for leading research in AI-based future transportation systems.

Electric Power Systems

It provides students with theoretical learning, design, and experiments related to future transportation methods using electric and environmentally friendly power. Through this, students acquire diverse engineering knowledge necessary for research and development in new power systems.

Intelligent Transportation Systems

It focuses on learning theories and technologies aimed at accurately detecting, diagnosing, and evaluating transportation systems using new IT technologies. Based on this information, students explore ways to optimize system operations, enhancing safety, convenience, and efficiency of traffic flow.