Abstract
In this Keynote talk I will start by defining a common language for the analysis of system resilience with
corresponding limitations and opportunities for research. I will then move to current work being done
in my research lab to understand the behavior of online communities during times of disruption and
how community resilience can be understood based on these cyber interactions. I will provide examples
describing these types of interactions in wide ranging areas of application from nature to man made
events. I will also discuss additional areas of research that are impacted by this perspective. I will
finalize my talk describing how the behavior and analysis of systems can be enhanced and in some cases improved based on the intersection of performance and system users’ data.
Dr. Ramirez Marquez is Director of the Enterprise Science and Engineering Division and Professor in the School of Systems & Enterprises at Stevens Institute of Technology. A former Fulbright Scholar, he holds degrees from Rutgers University in Industrial Engineering (Ph.D. and M.Sc.) and Statistics (M.Sc.) and from Universidad Nacional Autonoma de Mexico in Actuarial Science. His research efforts focus on the development of mathematical models for the analysis and computation of system operational effectiveness – reliability and vulnerability analysis as the basis for designing system resilience. He also works at the intersection of evolutionary computation for the optimization of complex problems associated with system performance and design. His most recent research explores the interplay between data visualization and analytical decision making. In these areas, Dr. Ramirez-Marquez has conducted funded research for both private industry and government and, has published over 100 refereed manuscripts in technical journals, book chapters and industry reports.