Sho Okazaki
Causal and neuro-symbolic AI for complex engineering systems.
I combine engineering knowledge with data to understand failures and support maintenance in railway and manufacturing systems.
Research
All researchSelected Publications
All publicationsA spatio-temporal anomaly detection system to support understanding of abnormal phenomena in automated manufacturing lines
Okazaki, S., Kaminishi, K., Wang, Y., Fujiu, T., Nakata, Y., Hamamoto, S., Yokose, K., Hara, T., Umeda, Y., Ota, J.
Machine Learning Approach to Redefining Risk in Railway Drainage Systems
Okazaki, S., Herrera, M., Sasidharan, M., McNaughton, J., Raja, J., Parlikad, A. K.
FBS model-based maintenance record accumulation for failure-cause inference in manufacturing systems
Fujiu, T., Okazaki, S., Kaminishi, K., Nakata, Y., Hamamoto, S., Yokose, K., Hara, T., Umeda, Y., Ota, J.
News
Show less
Received the Nakajima Foundation Scholarship and the Chadwick Scholarship.
Started my PhD at UCL.
Received the Excellence Award for my master’s thesis from the University of Tokyo.
Joined the board of the Young Researcher Association for Knowledge Graph Studies in Japan.
Joined the University of Cambridge as a visiting researcher.
Received the Satomi Foundation Scholarship and JASSO Scholarship for Overseas Study.
Received the Hideyoshi Hiroaki Scholarship.
Joined the University of Tokyo as a research student.