collaborators

6 papers

cs.ET2026

Source Distance Estimation in Turbulent Airflow: Exploiting Molecule Degradation Diversity

Bastian Heinlein, Timo Jakumeit, Robert Schober +2

In nature, estimating the location of a molecule source in turbulent airflow is a central, and yet highly challenging problem for mate search and foraging. Recently, it has also re…

cs.ET2026

Analytical Modeling of Dispersive Closed-loop MC Channels with Pulsatile Flow

Theofilos Symeonidis, Fardad Vakilipoor, Robert Schober +2

Molecular communication (MC) is a communication paradigm in which information is conveyed through the controlled release, propagation, and reception of molecules. Many envisioned h…

cs.IT2026

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…

eess.SY2026

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…

eess.SP2025

Neural Network based Distance Estimation for Branched Molecular Communication Systems

Martín Schottlender, Maximilian Schäfer, Ricardo A. Veiga

Molecular Communications (MC) is an emerging research paradigm that utilizes molecules to transmit information, with promising applications in biomedicine such as targeted drug del…

cs.IT2025

Inferring the Chemotaxis Distortion Function from Cellular Decision Strategies

Fardad Vakilipoor, Johannes Konrad, Maximilian Schäfer

Cellular intelligence enables cells to process environmental signals and make context-dependent decisions, as exemplified by chemotaxis, where cells navigate chemical gradients des…