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Hi there, here is the current newsletter. Click to download the PDF ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems - Call for Papers Part A: Civil Engineering, and Part B. Mechanical Engineering The Editorial Board of the ASCE-ASME Journal invites contributions presenting state-of-the-art research and best practices for addressing risk, disaster and failure-related challenges arising from uncertainty. We particularly welcome emerging research relating to availability and processing of big data, including data driven decision support, machine learning and further computational intelligence tools relating to risk and uncertainty....

Hi there, here is the current newsletter. Click to download the PDF ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems - Call for Papers Part A: Civil Engineering, and Part B. Mechanical Engineering The Editorial Board of the ASCE-ASME Journal invites contributions presenting state-of-the-art research and best practices for addressing risk, disaster and failure-related challenges arising from uncertainty. We particularly welcome emerging research relating to availability and processing of big data, including data driven decision support, machine learning and further computational intelligence tools relating to risk and uncertainty....

Please find attached the Call for Papers for the Special Issue on Digital Twins: A New Frontier in Critical Infrastructure Protection and Resilience. Click to download the CFP Update: Submissions are open until January 31, 2023. Guest Editors Nii Attoh-Okine, PhD, University of Delaware, USA, okine@udel.edu Yaw Adu-Gyamfi, PhD, University of Missouri, USA, adugyamfiy@missouri.edu Aims & Scope A digital twin is a computational model (or set of coupled) that evolves over time to persistently represent the critical structure, its components, system or process....

Click to download the newsletter as PDF ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems - Call for Papers Part A: Civil Engineering, and Part B. Mechanical Engineering The Editorial Board of the ASCE-ASME Journal invites contributions presenting state-of-the-art research and best practices for addressing risk, disaster and failure-related challenges arising from uncertainty. We particularly welcome emerging research relating to availability and processing of big data, including data driven decision support, machine learning and further computational intelligence tools relating to risk and uncertainty....

Please find attached the Call for Papers for the Special Issue on Uncertainty Quantification & Management in Nonlinear Dynamical Systems in Aerospace and Mechanical Engineering. Click to download the CFP Guest Editors Jie Yuan, University of Strathclyde, United Kingdom, jie.yuan@strath.ac.uk Jinglang Feng, University of Strathclyde, United Kingdom, jinglang.feng@strath.ac.uk Enora Denimal, INRIA Institut National de Recherche en Informatique et en Automatique, France, enora.denimal@inria.fr Quan Hu, Beijing Institute of Technology, China, huquan2690@bit.edu.cn Sifeng Bi, University of Strathclyde, United Kingdom, sifeng....