The Department of Civil and Environmental Engineering will have the pleasure of hosting prof. Ayan Sadhu who will deliver a course on Structural Health Monitoring based on Data Science techniques (13-27 September) at the same time as the International Doctoral Program in Civil and Environmental Engineering. The professor will also hold a seminar on September 14th on the topic of Artificial Intelligence-enabled Smart Structural Health Monitoring and Maintenance of Civil Infrastructures.
The professor Sadhu is an associate professor in the Department of Civil and Environmental Engineering at Western University, Canada, with a research focus on facility monitoring (SHM), infrastructure management, next-generation measurement systems and artificial intelligence. He is the director of the Smart Cities and Communities (SCC) lab at Western University. He is the author of over 100 scientific articles with almost 1750 citations according to the Google Scholar source. He has received research funding totaling nearly $3.2 million from various government and industry agencies. He received the Early Researcher Award (ERA) and a five-year research grant from the Ontario Ministry of Colleges and Universities for his research on SHM and bridge rehabilitation using next-generation sensors. He was the winner of the Junior Researcher Award from the Faculty of Engineering at Western University. His research was also funded by NSERC, Natural Resources Canada, Mitacs and various industry partners such as North American Palladium, WSP Canada, Canada Masonry Design Center and Conservation Authority. He recently received a CFI-JELF grant from the federal government to establish an SHM laboratory. His algorithms have been successfully implemented for condition assessment of large-scale infrastructure elements such as highway and pedestrian bridges, critical airport facilities, buildings, mining facilities, dams and underground structures around the world.
For further information on timetables and classrooms, see the link (https://ing1.unipg.it/en/phd/didactic-actitivities/program-of-educational-didactic-activities-xxxviii-cycle/1810-structural-health-monitoring-based-on-data-science-techniques).