Modeling and Simulation

Welcome to the group of Modeling and Simulation at Saarland University

About us

We develop computational methods for the simulation and analysis of complex biological and technical systems. Most of our research projects are located in the broad area of stochastic modeling with a focus on efficient simulation methods for discrete models, stochastic hybrid models, parameter estimation, mean-field analysis, and reinforcement learning in the context of discrete-event simulation.


New Journal Article Published: Algorithmic Fairness, X AI, Effective Human Oversight -- and How These Topics Can Interact
How can we 𝐢𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐮𝐧𝐟𝐚𝐢𝐫 𝐚𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭𝐬 of 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬 on an individual level and 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐞 them...