معرفی
Dr. Inhi Kim is an Associate Professor at KAIST's Cho Chun Shik Graduate School of Mobility with adjunct appointment at Monash University. He holds a PhD in Civil Engineering from the University of Queensland and specializes in transportation systems, traffic simulation, and machine learning applications in mobility. His research develops AI-driven solutions for urban transportation challenges including traffic prediction, signal optimization, and safety systems.
Research focuses on:
- Deep learning for traffic forecasting and visualization
- Reinforcement learning-based traffic signal control
- Micromobility safety systems
- Transportation data analytics
- Urban mobility pattern analysis
His recent publications emphasize edge computing for transportation applications, eye-tracking technologies, and compact neural network architectures for real-time safety systems. Dr. Kim leads the TUPA research group focusing on mobility AI and maintains collaborations with NYU, Monash University, and Southeast University.
He has supervised 9 PhD students to completion and secured research funding from various international sources including MainRoads WA, Bombardier Australia, and Jiangsu Province China.
