Regular biography
Professor Hwasoo Yeo is a faculty member in the Department of Civil and Environmental Engineering at KAIST. His research focuses on Smart Transportation Systems, including modeling and prediction of transportation phenomena, safe and efficient operation of transportation systems using Intelligent Transportation Systems (ITS), and green transportation city design. He also works on infrastructure maintenance and management methodologies to reduce greenhouse gases. Professor Yeo's academic background includes a Ph.D. in Civil and Environmental Engineering from the University of California, Berkeley. His career at KAIST spans from 2009 to the present, where he has held the positions of Assistant Professor, Associate Professor, and currently Professor.
Scholar-generated biography
Hwasoo Yeo is a researcher in the Department of Civil and Environmental Engineering at KAIST, focusing on AI Mobility, Traffic Flow Theory, Transportation Big Data, Traffic Simulation, and Infrastructure Engineering. Their work explores the integration of artificial intelligence in transportation systems, particularly through generative adversarial imitation learning for trajectory prediction and data-driven methods for traffic data imputation. Yeo's research also addresses traffic simulation, safety measures, and the impact of autonomous vehicles on mixed traffic conditions. Additionally, they investigate the resilience of urban road networks and the use of GIS in healthcare accessibility. Their publications highlight the application of machine learning, neural networks, and statistical models in transportation analysis.