1 citations · 1 across the 9 of their papers we have counts for
10 papers
Source Distance and Source Strength Estimation in Turbulent Flow: Exploiting Molecule Degradation Diversity
Bastian Heinlein, Timo Jakumeit, Robert Schober +2
Locating an odor source and estimating its strength are central problems in nature and engineering. For example, an insect may decide whether a food source is worth traveling to ba…
Autoencoder-based Optimization of Multi-user Molecule Mixture Communication Systems
Bastian Heinlein, Nuria Zurita Jiménez, Kaikai Zhu +4
In this paper, we introduce an autoencoder (AE)-based scheme for end-to-end optimization of a multi-user molecule mixture communication system. In the proposed scheme, each transmi…
Matched Filter-Based Molecule Source Localization in Advection-Diffusion-Driven Pipe Networks with Known Topology
Timo Jakumeit, Bastian Heinlein, Vukašin Spasojević +3
Synthetic molecular communication (MC) has emerged as a powerful framework for modeling, analyzing, and designing communication systems where information is encoded into properties…
Molecule Mixture Detection and Design for MC Systems with Non-linear, Cross-reactive Receiver Arrays
Bastian Heinlein, Kaikai Zhu, Sümeyye Carkit-Yilmaz +6
Air-based molecular communication (MC) has the potential to be one of the first MC systems to be deployed in real-world applications, enabled by commercially available sensors. How…
The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning
Johanna S. Fröhlich, Bastian Heinlein, Jan U. Claar +3
Explainable artificial intelligence has emerged as a promising field of research to address reliability concerns in artificial intelligence. Despite significant progress in explain…
Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Multiple-Input Multiple-Output Vascular Networks
Timo Jakumeit, Bastian Heinlein, Nunzio Tuccitto +3
Synthetic molecular communication (MC) in the cardiovascular system is a key enabler for many envisioned medical applications inside the human body, such as targeted drug delivery,…
Molecule Mixture Detection and Alphabet Design for Non-linear, Cross-reactive Receiver Arrays in MC
Bastian Heinlein, Kaikai Zhu, Sümeyye Carkit-Yilmaz +6
Air-based molecular communication (MC) has the potential to be one of the first MC systems to be deployed in real-world applications, enabled by existing sensor technologies such a…
Closing the Implementation Gap in MC: Fully Chemical Synchronization and Detection for Cellular Receivers
Bastian Heinlein, Lukas Brand, Malcolm Egan +3
In the context of the Internet of Bio-Nano Things (IoBNT), nano-devices are envisioned to perform complex tasks collaboratively, i.e., by communicating with each other. One candida…
Unraveling the role of adapting risk perception during the COVID-19 pandemic in Europe
Bastian Heinlein, Manlio De Domenico
During the COVID-19 pandemic, the behavioral response to reported case numbers changed drastically over time. While a few dozen cases were enough to trigger government-induced and…
Stochastic Chemical Reaction Networks for MAP Detection in Cellular Receivers
Bastian Heinlein, Lukas Brand, Malcolm Egan +3
In order to fully exploit the potential of molecular communication (MC) for intra-body communication, practically implementable cellular receivers are an important long-term goal.…