2 citations · 2 across the 5 of their papers we have counts for
5 papers
Sparsity-Driven Source Localization in Tomographic Sensing Applications
Marco Mattuschka, Noah An der Lan, Stefanie Schröder +3
Hyperspectral standoff detection systems such as Focal Plane Array (FPA) Fourier Transform Infrared (FTIR) spectrometers provide high spatial resolution in detecting airborne chemi…
Rapid Identification of Moving Contaminant Sources Through Physics-Based Modelling
Marco Mattuschka, Jacopo Bonari, Max von Danwitz +1
In an act of sabotage or terrorism, hazardous material might be released deliberately into the atmosphere to threaten individuals, e.g., those operating critical infrastructure. Ha…
Sparse Source Identification in Transient Advection-Diffusion Problems with a Primal-Dual-Active-Point Strategy
Marco Mattuschka, Daniel Walter, Max von Danwitz +1
This work presents a mathematical model to enable rapid prediction of airborne contaminant transport based on scarce sensor measurements. The method is designed for applications in…
Goal-oriented optimal sensor placement for PDE-constrained inverse problems in crisis management
Marco Mattuschka, Noah An der Lan, Max von Danwitz +2
This paper presents a novel framework for goal-oriented optimal static sensor placement and dynamic sensor steering in PDE-constrained inverse problems, utilizing a Bayesian approa…
Contaminant Dispersion Simulation in a Digital Twin Framework for Critical Infrastructure Protection
Max von Danwitz, Jacopo Bonari, Philip Franz +3
A digital twin framework for rapid predictions of atmospheric contaminant dispersion is developed to support informed decision making in emergency situations. In an offline prepara…