MolCom 2022 Tutorial Part 3/3 - Mathematical Models and Methods for Molecular Communication

Описание: Tutorial recorded at the 6th Workshop on Molecular Communications (MolCom), July 13th-15th, 2022. Workshop was held at the University of Warwick, Coventry, UK. Part 3/3 includes the applications and overall conclusions.

Full tutorial title: "From Physics to Biology and Beyond: A Tutorial on Mathematical Models and Methods for Molecular Communication"

MolCom Workshop Playlist:    • 6TH WORKSHOP ON MOLECULAR COMMUNICATIONS J...  

Workshop website: https://molecularcommunications.org/

Tutorial summary: This tutorial will begin with basic physical principles used to develop stochastic and deterministic models of reaction, diffusion, and convection systems of relevance to molecular communications. With these models in hand, we will then provide a basic toolbox for their analysis. As illustrative examples, we will consider receiver statistic analysis in complex MC channels, computation of information measures such as the mutual information, and more advanced scenarios motivated by biological systems.

Presenter Bios:
Maximilian Schäfer received the B.Sc., M.Sc. and Ph.D. degrees in electrical engineering from Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Germany. He worked with the chair of Multimedia Communication and Signal Processing, and now as a Postdoctoral Researcher at the Institute for Digital Communications at FAU. His research is focussed on multidimensional systems theory and the modeling of distributed parameter systems with applications in sound synthesis and molecular communications.

Sebastian Lotter received the B.Sc.~degree in Applied System Science from the University of Osnabrück, Germany, in 2011, and the M.Sc. in Advanced Signal Processing and Communications Engineering from Friedrich-Alexander Universität Erlangen-Nürnberg, Germany, in 2019, where he is currently pursuing the Ph.D. in Electrical Engineering with the Institute for Digital Communication. Sebastian received the Best Paper Award from the IEEE International Conference on Communications in 2020. His current research interests are in the field of molecular communication with focus on neural communication.

Malcolm Egan received the Ph.D. in Electrical Engineering in 2014 from the University of Sydney, Australia. He is currently a Chargé de Recherche (Tenured Research Scientist) in Inria and a member of CITI, a joint laboratory between Inria, INSA Lyon and Université de Lyon, France. Previously he was an Assistant Professor in INSA-Lyon, and a postdoctoral researcher with the Laboratoire de Mathématiques, Université Blaise Pascal, France and the Department of Computer Science, Czech Technical University in Prague, Czech Republic. He is also currently an associate editor for IEEE Communications Letters. His research interests are in the areas of information theory and statistical signal processing with applications in wireless.