Lecture by Prof. Khalid M. Mosalam - PEER Overview & NLP Approach for Rapid Earthquake Reconnaissance
[Abstract]
This presentation focuses on the activities of the Pacific Earthquake Engineering Research (PEER) Center and the speaker's research group on reducing the harmful effects of earthquakes and other natural hazards on the built environment and communities. The presentation starts with an overview of PEER, its mission, vision, major projects, research directions, impacts on practice, and experimental facilities and related activities. This is followed by the three pillars of vision-based, vibration-based, and text-based Structural Health Monitoring, powered by the worldwide trend of the expansion of sensor installation on different elements of the built environment, and a well-integrated usage of AI technologies with domain knowledge. Finally, details are provided on recent Natural Language Processing (NLP) methods and their applications for both virtual and field reconnaissance following natural hazards. These efforts support the "Building Resilience through Reconnaissance" objective of the Structural Extreme Events Reconnaissance (StEER) Network, which PEER actively collaborates with to improve sustainability and community resilience.
This presentation focuses on the activities of the Pacific Earthquake Engineering Research (PEER) Center and the speaker's research group on reducing the harmful effects of earthquakes and other natural hazards on the built environment and communities. The presentation starts with an overview of PEER, its mission, vision, major projects, research directions, impacts on practice, and experimental facilities and related activities. This is followed by the three pillars of vision-based, vibration-based, and text-based Structural Health Monitoring, powered by the worldwide trend of the expansion of sensor installation on different elements of the built environment, and a well-integrated usage of AI technologies with domain knowledge. Finally, details are provided on recent Natural Language Processing (NLP) methods and their applications for both virtual and field reconnaissance following natural hazards. These efforts support the "Building Resilience through Reconnaissance" objective of the Structural Extreme Events Reconnaissance (StEER) Network, which PEER actively collaborates with to improve sustainability and community resilience.
[Short bio]
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 & health monitoring of structures including data analytics using different AI approaches. He is active in assessment and rehabilitation of essential facilities, including building energy efficiency and sustainability. 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, NTU, Singapore, and Tongji University, China. Mosalam teaches courses in FEM, Structural Analysis, Structural Dynamics, Design of RC and PC 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 & health monitoring of structures including data analytics using different AI approaches. He is active in assessment and rehabilitation of essential facilities, including building energy efficiency and sustainability. 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, NTU, Singapore, and Tongji University, China. Mosalam teaches courses in FEM, Structural Analysis, Structural Dynamics, Design of RC and PC Structures, and Experimental Methods in Structural Engineering.
