Artificial Intelligence in Vision-Based Structural Health Monitoring
Khalid M. Mosalam & Yuqing Gao
Artificial Intelligence in Vision-Based Structural Health Monitoring
Khalid M. Mosalam & Yuqing Gao
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Omschrijving
Specifically, corresponding to the above-mentioned scientific questions, it consists of: (1) motivation, background & progress of AI-aided vision-based SHM, (2) fundamentals of machine learning & deep learning approaches, (3) basic AI applications in vision-based SHM, (4) advanced topics & approaches, and (5) resilient AI-aided applications.
Mosalam obtained his BS and MS from Cairo University and his PhD from Cornell University in Structural Engineering. In 1997, he joined the Department of CEE, UC-Berkeley where he is currently the Taisei Professor of Civil Engineering, Director of the PEER Center, and Associate Director for Earthquake Hazard of the StEER Network. He conducts research on performance and health monitoring of structures including data analytics using machine and deep learning approaches for vibration-based and vision-based techniques. He is active in assessment and rehabilitation of essential facilities, and in research related to building energy efficiency and sustainability. His research covers large-scale computation and experimentation including hybrid simulation. He is the recipient of 2006 ASCE Huber Civil Engineering Research Prize, 2013 UC-Berkeley Chancellor Award for Public Services, 2015 EERI Outstanding Paper Award, 2020 ASCE Best Journal Paper in Materials and Structural Response, and 2021 Hojjat Adeli Award for Innovation in Computing. He is a Corresponding Member of the Academia de Ingeniería México, and an Elected Fellow of ASCE. He was a Visiting Professor at Kyoto University, Japan; METU, Turkey; and NTU, Singapore. Mosalam teaches classes related to the Finite Element Method (FEM), Structural Analysis, Structural Dynamics, Design and Behavior of Reinforced and Prestressed Concrete Structures, and Experimental Methods in Structural Engineering.
Mosalam obtained his BS and MS from Cairo University and his PhD from Cornell University in Structural Engineering. In 1997, he joined the Department of CEE, UC-Berkeley where he is currently the Taisei Professor of Civil Engineering, Director of the PEER Center, and Associate Director for Earthquake Hazard of the StEER Network. He conducts research on performance and health monitoring of structures including data analytics using machine and deep learning approaches for vibration-based and vision-based techniques. He is active in assessment and rehabilitation of essential facilities, and in research related to building energy efficiency and sustainability. His research covers large-scale computation and experimentation including hybrid simulation. He is the recipient of 2006 ASCE Huber Civil Engineering Research Prize, 2013 UC-Berkeley Chancellor Award for Public Services, 2015 EERI Outstanding Paper Award, 2020 ASCE Best Journal Paper in Materials and Structural Response, and 2021 Hojjat Adeli Award for Innovation in Computing. He is a Corresponding Member of the Academia de Ingeniería México, and an Elected Fellow of ASCE. He was a Visiting Professor at Kyoto University, Japan; METU, Turkey; and NTU, Singapore. Mosalam teaches classes related to the Finite Element Method (FEM), Structural Analysis, Structural Dynamics, Design and Behavior of Reinforced and Prestressed Concrete Structures, and Experimental Methods in Structural Engineering.
Gao obtained his BS from Tongji University and his MS and PhD from University of California, Berkeley in Civil and Environmental Engineering under the supervision of the first author, Prof. K.M. Mosalam. In August 2023, he joined the College of Civil Engineering at Tongji University as an Associate Professor. He is the recipient of 2021 Hojjat Adeli Award for Innovation in Computing and 2022 Engineering Structures Best Paper Award.