Yasutaka Narazaki received his B.S. and M.S. in the department of Civil Engineering at the University of Tokyo, Japan, and then received Ph.D. in 2020 from the department of civil and environmental engineering at the University of Illinois at Urbana-Champaign, USA. His research interests are directed toward resilient and sustainable civil infrastructure systems through innovations in structural inspection and monitoring strategies. Based on his technical background in structural engineering, computer vision, machine learning/artificial intelligence, and robotics, he has performed research in the following three categories: (1) autonomous vision-based inspection of reinforced concrete (RC) railway bridges for rapid post-earthquake response and recovery, (2) development, quantitative performance evaluation, and optimization of computer vision-based dense displacement and strain measurement strategies, and (3) vibration-based structural system identification and damage assessment. His approach to research is characterized by interdisciplinary and international collaborations: he has worked with researchers in civil engineering, computer science, and robotics fields, as well as researchers and practitioners from China, USA, and Japan. He is expanding his research and collaborations to eventually develop a city-scale autonomous inspection/monitoring solution that can leverage all available sensors (e.g. cameras and accelerometers), sensing platforms (e.g. robots), and other prior knowledge (e.g. finite element models and building information models) under circumstances that change constantly with time and place.
Structural engineering, computer vision, machine learning/artificial intelligence, and robotics