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A Cloud Report by Prof. Young-Jin Cha from the University of Manitoba

 Campus

On May 29, 2020, the “Innovation Base of Earthquake Engineering Comprehensive Simulation” held the 8th “Cloud Report” and Prof. Young-Jin Cha from the University of Manitoba, Canada was invited to give a report named “Deep Learning-Based Structural Health Monitoring with Autonomous UAVs”.

This report was hosted by Associate Prof. Jie Xu from the School of Civil Engineering. Prof. Maria Todorovska, 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.

Young-Jin Cha serves as a 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 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 is serving as core peer-reviewers and Editorial Boards in many top engineering journals associated with IEEE, Elsevier, and ASCE.

By the School of Civil Engineering

Editor: Eva Yin