direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

BIMoS Days

Each BIMoS Day is devoted to introducing a broad scientific audience to a novel methodology with a wide range of applications.

The BIMoS Members may download the presentation slides and recordings from the BIMoS Days here.

Summer term 2018

BIMoS Day " Probabilistic methods in telecommunication "

by Prof. Dr. Wolfgang König (WIAS, TU Berlin)

May 23th, 2018 (16:15 - 18:00)

H 3005, TU Berlin Main Building, Straße des 17. Juni 13, 10623 Berlin


16:15 - 17:00  „Stochastic Geometry for Telecommunication“ (W. König)

We introduce to the basics of the probabilistic modelling of spatial telecommunication systems using fundamental tools like Poisson point processes, the Boolean model and the signal-to-interference ratio. Particular focus is put on wireless ad-hoc systems, where the messages travel in hops from user to user. The random locations of the users decide whether or not this can be done successfully or not. We try to give a survey on general types of questions that have been successfully handled and those that are yet open from a probabilistic perspective.

17:15 - 17:30  „Telecommunication models in random environments“ (B. Jahnel)

We give a survey on more realistic probabilistic modeling of environments in terms of random spatial geometries, expressed in terms of Cox point processes. The underlying structures are suitable to model, e.g., a random street system or the occurrence of objects that hamper the transmission of the messages. We report on existing results and on open questions.

17:30 - 17:45 „Continuum percolation on random structures“ (A. Tobias)

We give a closer insight into mathematical treatments of percolation properties (i.e., the possibility to forward messages unboundedly far) in random geometries. Depending on the parameters, highly interesting phase transitions are to be explored.

17:45 -- 18:00 „Random spread of malware over telecommunication systems“ (A. Wapenhans)

We give details about the modeling and the mathematical treatment of the random spread of malware over the users of a spatial system. Furthermore, we discuss models for random countermeasures against this spread. The fundamental models are the contact process and site percolation.


Previous BIMoS Days:

Winter term 2017/2018

BIMoS Day "Probabilistic methods in telecommunication" by Prof. Dr. Benjamin Blankertz

BIMoS Day " Modeling fixed-bed reactors with particle-resolved computational fluid dynamics (CFD) " by Prof. Dr. Gregor Wehinger (TU Clausthal)

Summer term 2017

BIMoS Day "Low-dimension geometry and effective dynamics of complex systems" by Prof. Dr. Christof Schütte

BIMoS Day "Shallow Water Flow Simulations" by Prof. Dr.-Ing. Reinhard Hinkelmann

BIMoS Day "Dynamical Downscaling of Global Atmospheric Data" by Prof. Dr. Dieter Scherer


Winter term 2016/17

"Mixture Models as Tools for Complex Classification Problems" by Prof. Dr. Stefan Weinzierl and Prof. Dr. Axel Werwatz

"From Fluids to Models - and back" by Prof. Dr. Jörn Sesterhenn

"Numerical experiments on turbulence" by Prof. Dr. Wolf-Christian Müller


Summer term 2016

"Fluid Simulation by Schrödinger's Equation" by Prof. Dr. Ulrich Pinkall

"Probabilistic and Bayesian Data Modeling" by Prof. Dr. Manfred Opper


Winter term 2015/16

"Multiscale Modeling" by Prof. Dr. Barbara Wagner

"Hierarchical Tensor for High-Dimensional Problems" by Prof. Dr. Reinhold Schneider (TU Berlin) and Prof. Dr. André Uschmajew (U Bonn)

"Combinatorial Optimization and Efficient Algorithms" by Prof. Dr. Martin Skutella


Summer term 2015

"Model Reduction" by Prof. Dr. Volker Mehrmann

"Machine Learning" by Prof. Dr. Klaus-Robert Müller

"Compressed Sensing" by Prof. Dr. Gitta Kutyniok

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

BIMoS Office

Technische Universität Berlin
Berlin International Graduate School for Model and Simulation based Research (BIMoS)
MA 5-5
Straße des 17. Juni 136
10623 Berlin
+49 30 314 73620