MS54 Data Science and Big Data Analytics in Structural Safety and Reliability
Prof. Ying Lei: firstname.lastname@example.org
Prof. Ying Lei, Xiamen University, email@example.com
Prof. Jun Chen, Tongji University, firstname.lastname@example.org
Abstract of the special session:
Recent developments in structural safety and reliability have triggered paradigm shifts in scientific research. Data science and big data analytics have raised common interests in the tasks of data collection, data cleaning, data mining, data interpretation, and data-processing. These have spurred new algorithms such as data reduction, machine learning, deep neural network, transfer learning, cloud computing, visualization and high performance computing.
The purpose of this special session is to provide a forum for the exchange of information by a wide spectrum of experts from academia and industry, exposing and discussing challenges, opportunities, and research needs for advancing the state of the art in a most impactful manner.
The special session welcomes, but is not limited to, the following topics regarding structural safety and reliability:
ICOSSAR 2021-2022 Secretariat
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