6 papers · 1 filter
VaporISAC: Integrated Sensing and Communication via Molecular Signals
Sunasheer Bhattacharjee, Martín Schottlender, Pit Hofmann +3
Conventional electromagnetic (EM)-based integrated sensing and communication (ISAC) systems degrade in cluttered, obstructed, and radio-frequency-hostile environments, while macros…
Evaluating Encoding Strategies for Closed-Loop Classification in Biological Neural Networks
Martin Schottlender, Veronika Volkova, Pengjie Zhou +3
Interfacing with Biological Neural Networks (BNNs) requires encoding information into stimulation patterns that can be effectively processed and that enable the underlying system t…
Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction
Martin Schottlender, Pengjie Zhou, Veronika Volkova +5
Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking resear…
System Modeling of Microfluidic Molecular Communication: A Markov Approach
Ruifeng Zheng, Pengjie Zhou, Pit Hofmann +3
This paper presents a Markov-based system model for microfluidic molecular communication (MC) channels. By discretizing the advection-diffusion dynamics, the proposed model establi…
Exhaled Breath Analysis Through the Lens of Molecular Communication: A Survey
Sunasheer Bhattacharjee, Dadi Bi, Pit Hofmann +10
Molecular Communication (MC) has long been envisioned to enable an Internet of Bio-Nano Things (IoBNT) with medical applications, where nanomachines within the human body conduct m…
Advanced Plaque Modeling for Atherosclerosis Detection Using Molecular Communication
Alexander Wietfeld, Pit Hofmann, Jonas Fuchtmann +5
As one of the most prevalent diseases worldwide, plaque formation in human arteries, known as atherosclerosis, is the focus of many research efforts. Previously, molecular communic…