At the 35th International Conference on Principles of Diagnosis and Resilient Systems (DX’24), an event co-organized by TU Graz and Ben Gurion University, and sponsored by AIJ, Dimitris Simos gave a keynote titled “Combinatorial Methods beyond Testing: Optimizing Disaster Scenarios to Strengthen Disaster Preparedness and Resilience”. In his keynote, Dimitris presented the application of combinatorial methods beyond system testing, and in particular examined their adaptation for use-cases typically encountered as part of the disaster management cycle with the aim to advance disaster preparedness and enhance the resilience of (cyber-) physical systems. Any efforts in the ex-ante phase of a disaster require detailed understanding of potential disaster scenarios, which makes them an integral part of activities around advancing disaster preparedness, prevention, and resilience. For this reason, Dimitris also put emphasis on different discrete mathematical models and generation techniques for descriptive disaster scenario generation.
The keynote was followed by an intensive round of questions from the audience moderated by Ingo Pill. Topics put forward included the impact of multiple, simultaneously occurring disasters as well as thoughts on technical aspects on how to start designing for resilience right from the beginning.
https://conf.researchr.org/home/dx-2024
https://conf.researchr.org/info/dx-2024/invited-speakers
