Prof. Dr. Stefan Wolfgang Pickl
acatech Fellow, Chair for Operations Research
Universität der Bundeswehr München, Germany
Biography

Prof. Dr. Stefan Wolfgang Pickl received his Ph.D. degree from TU Darmstadt in 1998 and his Habilitation in 2004/2005. From 2000 to 2005, he was a research assistant and project manager at the Center for Applied Informatics Cologne, focusing on modeling, simulation, and optimization of resource conflicts. Since July 2005, he served as the Chair of Operations Research at the Bundeswehr University Munich. Currently, Prof. Pickl is Deputy Chairman of the German Committee for Disaster Risk Reduction (DKKV) and Chairman of the Advisory Board of the German Society for Operations Research (GOR). In 2023, he was elected as a member of the German National Academy of Science and Engineering (acatech). His research interests are IT-based decision-making and process optimization.


Title: Digital Twins AI System Analysis -DAISY- and Critical Infrastructures System -CRISYS-

As part of the research project »OPERA - Future Operations« an interdisciplinary consortium develops a trend-setting interactive visualization tool to support decision makers, to adapt and to explore different strategies. This talk gives an overview on that project.

Furthermore it presents the special sector-based approach IDEA-4C:

I - Identification of critical regions, sectors and coupling principle (Cost-Benefit Analysis for Critical Sectors. );

D - Digital Twins and AI-driven constraint optimization (Coupled Sector-based Models);

E - Exploratory Strategies/ Recognition of critical pathways and sectors (Characterization of Pathways);

A - Adaptation and Quantifying Analysis (Coordination of Strategies).

 

This 4C-approach describes a new integrated modelling suite for developing and assessing complex strategies. This hybrid optimization framework has been conceptualized and is currently being developed with and for experts in the field of disaster and emergency management, combining CRISYS and DAISY. Such an innovative approach will give provide new insights in the general use of digital twins.