Martin Bicher

Martin Bicher is a Researcher at the Institute for Information Systems Engineering (E194) within the Faculty of Informatics at Vienna University of Technology (TU Wien), affiliated with the E-Commerce Research Area and Network Lab. His work bridges computational modeling and public health, with a focus on agent-based simulation for epidemiological decision support.

His primary research interests include Agent-Based Modeling, Simulation, and Epidemiology, with significant contributions to understanding SARS-CoV-2 transmission dynamics, vaccination strategies, and pandemic response systems. His methodology emphasizes Decision Support Systems that integrate multi-model approaches for real-world policy challenges, particularly evident in his extensive COVID-19 research portfolio spanning modeling, forecasting, and intervention evaluation.

Analysis of his recent publications reveals a dominant focus on computational epidemiology, where he pioneers agent-based simulation frameworks for vaccination optimization, contact-tracing effectiveness, and variant surveillance. His work consistently integrates interdisciplinary perspectives—combining operations research, environmental science, and public health—to address complex pandemic dynamics, with notable methodological contributions in Monte Carlo simulation and integrated modeling frameworks.

As an active FWF (Austrian Science Fund) project researcher, he collaborates extensively with institutions like the Complexity Science Hub Vienna, evidenced by frequent co-authorship with Nikolas Popper and Claire Rippinger. His leadership in the Network Lab drives innovation in simulation-based decision support for public health crises, with emerging work on election safety during pandemics and wastewater surveillance systems.