Summary
Research Interest
- Traffic Planning/Operation
- Digital Twin
- Traffic Simulation
- Metaverse
Education
Experience
Academia
Jan. 2022 – Present Cho Chun Shik Graduate School of Mobility, KAIST Job title: Associate professor
Sep. 2020 – Present Dept. of Civil Engineering, Monash University, Australia Job title: Adjunct Senior Lecturer https://www.monash.edu/engineering/inhikim
Sep. 2020 – Dec. 2022 Dept. of Civil and Environmental Engineering, Kongju National University, Korea Job title: Associate professor
Jan. 2019 – Aug. 2020 Dept. of Civil Engineering, Monash University, Australia Job Title: Senior Lecturer (Associate professor)
Sep. 2019 – Feb. 2020 Dept. of Civil & Environmental Engineering, KAIST Job Title: Invited Professor through Brain Pool Program by Prof. Hwasoo Yeo sponsored by NRF
Jan. 2015 – Dec. 2018 Dept. of Civil Engineering, Monash University, Australia Job Title: Lecturer (Assistant professor)
Industry
Aug. 2007-Jan. 2012 PTV Group, Karlsruhe, Germany Job Title: Transportation Engineer&Planner; Software Developer
Biography
Dr. Kim received his Ph.D. from the Department of Civil Engineering, The University of Queensland, Australia, in 2014. He joined the Department of Civil Engineering, Monash University, Melbourne, Australia as a lecturer (Assistant professor) in 2015 and a senior lecturer (Associate professor) in 2019. Dr. Kim moved back to his own country and had a new position as an associate professor at Kongju National University in 2019. Inhi finally settled at Cho Chun Shik Graduate School, KAIST, in 2023.
Before joining academia, Inhi worked in the German transport software company PTV Group as a transport engineer and planner. He gained 5-year experience whilst based in Australia, Singapore, Germany, the United Arab Emirates, and Korea. He was closely involved with transport and traffic planning and modeling, evaluation, and performance measurement of transport programs and projects as a practitioner, researcher, and trainer.
Dr. Kim has particular interests and skills in the areas of deep learning, visualization, demand forecasting, strategic planning, traffic signal operation, public transportation planning, safety in conjunction with the integration of traffic simulation and driving simulator, and evaluation of connected cars in safety and efficiency.
