On May 29, 2020, the “Innovation Base of Earthquake Engineering Comprehensive Simulation” held the 8th “Cloud Report” and invited Prof. Young-Jin Cha from the University of Manitoba, Canada, to present a report named “Deep Learning-Based Structural Health Monitoring with Autonomous UAVs”.
This report was hosted by Associate Prof. Jie Xu, School of Civil Engineering. Prof. Maria Todorovska, Professor of School of Civil Engineering, attended the report and delivered a welcome speech. By way of an online classroom, Prof. Young-Jin Cha first introduced the traditional damage detection approaches and vision-based approaches. Then he mainly explained the crack detection of concrete based on deep convolutional neural network (CNN), including the detection and location of various damages. Finally, he discussed the autonomous UAV with deep learning for damage detection. The audience at the meeting had a deeper understanding of the application of deep learning and the autonomous UAV in the field of structural detection.
After the report, Prof. Young-Jin Cha and the audience conducted an online discussion on related issues and took a group photo.
This “Cloud Report” attracted a total of 388 teachers and students from 15 universities including Tianjin University, The Hong Kong Polytechnic University, Zhejiang University, Tongji University etc. They all responded enthusiastically to the report.
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Fig.1. Online group photo of some participating teachers and students |
Introduction to Prof. Young-Jin Cha:
Young-Jin Cha serves as Professor at the University of Manitoba, Canada. His extensive research activities in the Structural Health Monitoring (SHM) and structural control for seismic damage reduction have led to the publication of 35 peer-reviewed, high-impact papers in top journals including one editorial. He has accepted/published 39 peer-reviewed, internationally recognized conference papers and delivered 58 conference presentations. His key scientific contribution is deep learning-based automated SHM with autonomous Unmanned Aerial Vehicles (UAVs). He brought this topic to light with paper publications in top-ranking journals. According to Google Scholar, He has received 2,148 citations, 714 of which were received during the last year 2019. He has been reported more than serval hundred times as the most read author, most read research items, and citations in the Civil Engineering Dept. at U of M, with more than 60,000 readings since my account on www.researchgate.net was opened. He was named to 2005 Who’s Who in Ameraca,’ organized many symposiums in the MIT and Caltech through Engineering Mechanics Institute Conferences with the topics of Deep Learning and Autonomous UAVs for SHM. He is serving as core peer-reviewers and Editorial Boards in many top engineering journals associated with IEEE, Elsevier, and ASCE.
(Corresponding：Yipeng Zhang)
