Title: Stochastic Modeling of Unified Resilience Metrics

Abstract:

There has been significant developments of large and complex engineered infrastructure systems such as telecommunication networks, power grids, transportation infrastructure, healthcare delivery systems, information technology, financial systems and supply chain systems. Failures of such systems may result in cascading damages as well as significant interruptions of their services. This presentation focuses on the development of unified resilience metrics based on analytical and AI-enabled stochastic models to evaluate and predict the resilience and availability of complex systems subject to various types of failures, repairs and recovery processes.

Bio:

E. A. Elsayed is Distinguished Professor of the Department of Industrial and Systems Engineering, Rutgers University. He is also the Director of the NSF/ Industry/ University Co-operative Research Center for Quality and Reliability Engineering. He was the Chair of ISE, Rutgers University from 1983 to 2001. His research interests are in the areas of quality and reliability engineering and Production Planning and Control. He is a co-author of Quality Engineering in Production Systems, McGraw Hill Book Company, 1989. He is also the author of Reliability Engineering, Addison-Wesley, 1996. These two books received the 1990 and 1997 IIE Joint Publishers Book-of-the-Year Award respectively. His recent book Reliability Engineering 2nd Edition, Wiley, 2021 received the 2012 Outstanding Publications of IIE. The third edition of this book by Wiley in 2021 was selected to be included in the Best Industrial Management eBooks of All Time. Dr. Elsayed has received many awards and honors and was the keynote speaker of many international conferences. Dr. Elsayed was awarded the Doctor Honoris Causes from University of Agers, France in January 2018 for his achievements in the reliability engineering field. In November 2023, he received “Faculty of the Year” award, Rutgers University.