SEKIMOTO Yoshihide

SEKIMOTO Yoshihide is a Professor at The University of Tokyo, Department of CE. His research focuses on large-scale people flow simulation, development of three-dimensional urban digital twin, real-time urban monitoring, and computational socio-informatics. He leads the Sekimoto Laboratory, part of the Center for Spatial Information Science, and has been involved in various academic and research activities, including international collaborations and student mentorship. His work emphasizes the role of information technology in addressing complex urban challenges and fostering interdisciplinary research.

Yoshihide Sekimoto is a researcher specializing in Urban Computing, Urban Informatics, and Spatial Information. His work focuses on leveraging deep learning and mobile sensing technologies for urban infrastructure monitoring and disaster response. Sekimoto has developed datasets such as RDD2022 and RDD2020 for road damage detection using smartphone images and generative adversarial networks. His research also explores human mobility patterns, emergency behavior, and population recovery following disasters, utilizing GPS traces and large-scale social survey data. Additionally, he has contributed to precipitation nowcasting and streetscape perception analysis using satellite and street-view images.