Machine Learning for Risk, Reliability, and Resilience
Chair: Michael D. Shields, Johns Hopkins University
Co-Chair: Seymour M. J. Spence, University of Michigan

Technical Committees
IASSAR's current technical committees provide a framework for research exchange across reliability, risk, uncertainty, and infrastructure performance.
Committees
These committees reflect current working areas in machine learning, extreme actions, robust decision analysis, and time-variant global reliability.
Chair: Michael D. Shields, Johns Hopkins University
Co-Chair: Seymour M. J. Spence, University of Michigan
Chair: Yong-Bo Peng, Tongji University
Co-Chairs: Mitsuyoshi Akiyama, Waseda University; Giuseppe Quaranta, Sapienza University of Rome
Chair: Matthias G. R. Faes, Technical University of Dortmund
Co-Chair: Michael Beer, Leibniz University Hannover
Chair: Jian-Bing Chen, Tongji University
Co-Chairs: André T. Beck, University of São Paulo; Jun-Ho Song, Seoul National University; Jun Xu, Hunan University