Shohei Yasuda

Degree

Ph. D. in Engineering (Kobe University)

Educational Contents

Economics I, Transport Economics, Economics of the Transport Industry

Research Interests

My research focuses on the predictive modeling of traffic congestion and incidental events using massive trajectory data from vessels and vehicles, alongside the normative analysis of large-scale networks. I also work on enhancing these models by extracting high-level features from satellite imagery and camera feeds. By integrating mathematical approaches-such as transportation engineering and graph theory-with data-driven methodologies like deep learning, I explore practical solutions to real-world challenges. My lab provides research themes that bridge the gap between academic theory and social implementation, allowing students to develop professional expertise through the lens of practical science.

Message for Students

If you have a strong desire to acquire practical skills and solve societal challenges but are unsure of the specific path to take, I am here to support you. Let's work together to translate your ambition into meaningful impact through rigorous research and real-world data.

Research Areas

Transportation Engineering

Affiliations

Japan Society of Traffic Engineers (JSTE), Japan Society of Civil Engineers (JSCE)

Academic Journals

Transportation Research

International Conferences

IEEE International Conference on Intelligent Transportation Systems