Archiv Kolloquium / Former Colloquia

Mathematische Modellierung und Numerische Simulation gefährlicher Krankheiten

Prof. Dr. Kurt Chudej

(Universität Bayreuth)

15.10.2019, 14:00 Uhr

C_Fun_Gene, Konferenzraum A+B

Felix-Haussdorff-Str. 8 (Eingang vom Beitz-Platz)


Dengue-Fieber wird durch die Asiatische Tigermücke  übertragen. Die Krankheit ist in den Tropen und Subtropen verbreitet und wird durch Flugreisende (Dienstreise/Urlaub) nach Deutschland eingeschleppt. Leider breitet sich die Asiatische Tigermücke momentan in Deutschland aus. Selbsterhaltende Populationen sind aus Freiburg i. Br., Heidelberg und Sinsheim bekannt. Weitere Funde von erwachsenen Tigermücken sind aus Fürth (Sept. 2019), Erding bei München, Regensburg, Jena usw. bekannt. Dengue Fieber kommt in vier verschiedenen Serotypen vor. Die schwerwiegenden Erkrankungsarten treten i.allg. bei der ersten Infektion mit einem zweiten Serotypen auf. Wir betrachten ein mathematisches zwei Serotypen Kompartimentmodell für Dengue. Für die Bekämpfung von Dengue bietet sich an: die Verringerung der Mückenanzahl durch gezieltes Aufräumen und Entfernen von potentiellen Brutplätzen, sowie der Einsatz von Insektiziden gegen die aquatischen bzw. erwachsenen Mücken. Außerdem besteht potentiell die Möglichkeit einer Impfung. Der Vortrag wird in die mathematische Modellierung einführen und numerische Simulationsergebnisse präsentieren.

About Prof. Dr. Kurt Chudej

Kurt Chudej is Professor at the Chair of Scientific Computing in the Department of Mathematics, Physics and Computer Science at the University of Bayreuth. Additionally he is member of the core methods team of the Forschungszentrum Modellierung und Simulation at the University of Bayreuth. He studied Mathematics with minor subject Computer Science (diploma 1989), and received a Ph.D. in Mathematics in 1994, both at Technische Universität München. He obtained his venia legendi (Habilitation) at University of Bayreuth in 2001. He worked as a scientist at Technische Universität München, University of Greifswald, and University of Bayreuth. In 2001 he was Visiting Professor at the University of  California, San Diego (USA).

Kurt Chudej's research interests include scientific computing, numerical analysis, optimization, and optimal control. The fields of application include trajectory optimization in aerospace engineering, numerical simulation and optimization of molten carbonate fuel cells, and epidemiology.

Interessenten sind herzlich willkommen. Prof. Dr. Roland Pulch



Dr. Christian Becker: Persistence - long live homology!

Prof. Dr. Mario Stanke: Pixels or Lines? A Computer Vision Problem


19.12.2018, 16:00 Uhr

Hörsaal Physik,

Felix-Hausdorff-Str. 6

Multirate Integration Schemes for Coupled Systems

Prof. Dr. Michael Günther

(Bergische Universität Wuppertal)

23.10.2018, 16:00 Uhr

C_Fun_Gene, Konferenzraum A+B

Felix-Haussdorff-Str. 8 (Eingang vom Beitz-Platz)


In technical applications one is often confronted with numerically solving coupled systems of time-dependent differential equations of various types. These systems are usually equipped with dynamics acting on different time scales. To exploit this multirate behaviour, multistep integration schemes use different time steps tailored to the dynamics of the subsystems. This talk will give a survey on these schemes, including their development, analysis with respect to consistency and stability and applications in refined network analysis.

About Prof. Dr. Michael Günther

Michael Günther was born in Munich in 1967. He studied Mathematics with minor subject Physics (diploma in 1992), received a Ph.D. in Computer Science in 1995, both at Technische Universität München, and obtained his venia legendi (Habilitation) at Universität Karlsruhe (TH) in 2001. After positions as research assistant, assistant professor and professor at proxy at Technische Universität Darmstadt, Universität Karlsruhe (TH) and Universität Ulm, he joined the Bergische Universität Wuppertal in 2003, where he currently holds the chair of applied mathematics and numerical analysis. Since 2016 he is dean of the school of mathematics and natural sciences at the Bergische Universität Wuppertal .

Michael Günther's research interests include numerical analysis and simulation of time-dependent differential equations inclduing differential algebraic equations and coupled problems. The fields of application comprise computational physics (lattice QCD), computational finance (financial deriivatives and option pricing) and computational electronics.

Interessenten sind herzlich willkommen. Prof. Dr. Roland Pulch

Assembling the Network of Life

Prof. Dr. Vincent Moulton

(University of East Anglia)

8.6.2018, 14:15 Uhr

C_Fun_Gene, Konferenzraum A+B+C

Felix-Haussdorff-Str. 8 (Eingang vom Beitz-Platz)


Biologists commonly represent the evolution of organisms using a phylogenetic tree, that is, a leaf-labeled graph-theoretical tree, the tree-of-life providing a well-known example of such a tree. In recent years, however, it has become increasingly recognised that the evolutionary history of certain organisms (e.g. plants, viruses and bacteria) is not always best represented by a tree. This is due to evolutionary processes that take place on the molecular level, such as recombination, lateral gene transfer and recombination. In such cases, phylogenetic networks - more complex leaf-labeled graphs - can provide a useful alternative to trees.

In this talk, we discuss the problem of building up phylogenetic networks from simpler networks, which leads to some interesting mathematical and computational problems.

About Prof. Dr. Vincent Moulton

Vincent Moulton is Professor in Computational Biology at University of East Anglia. After completing his undergraduate studies at University of Warwick in 1987, he moved to the USA, where he completed an MSc at University of Washington in 1991, and his PhD at Duke University in 1994.

He then worked as a researcher at University of Bielefeld, DE, and University of Canterbury/Massey University, NZ. In 1997 he moved to Sweden, where he was employed as Senior Lecturer at Mid Sweden University and, as of 2002, Professor in Bioinformatics at Uppsala University. He joined University of East Anglia in 2004.

Interessenten sind herzlich willkommen. Prof. Dr. Marc Hellmuth

Genus and Unknotting Number of a Knot

Prof. Dr. Stefan Friedl
(Universität Regensburg)

30.4.2018, 16:00 Uhr

Seminarraum 1

Franz-Mehring-Str. 47


A knot is closed curve in R³. Every knot bounds an orientable surface, and the minimal genus of such a surface is called the genus of the knot. Every knot can be transformed into the trivial knot by a finite number of crossing changes. The minimal number of crossing changes is called the unknotting number. We will introduce these invariants of knots and discuss some properties and open questions.

About Prof. Dr. Stefan Friedl

Stefan Friedl studied Mathematics and Physics in Regensburg and later at Brandeis University in Massachusetts. He obtained a Ph.D in Mathematics from Brandeis University in 2003. He held postdoc positions in Munich, Houston, and Montreal. He became assistant professor at University of Warwick, then professor at University of Cologne, and since he is 2013 professor at University of Regensburg.

Stefan Friedl's research interests are Knot theory, low–dimensional topology, symplectic 4–manifolds, and related algebra.



Kristina Wicke: Die Qual der Wahl beim Plätzchenbacken - phylogenetische Entscheidungshilfen

Peter Kristel: Fair cake-cutting

weitere Informationen

13.12.2017, 15:30 Uhr

SR 1, Franz-Mehring-Str. 47

Diagnosis and initialization methods for differential algebraic equations

Prof. Dr. Diana Estévez Schwarz
(Beuth Hochschule für Technik Berlin)

14.11.2017, 16:00 Uhr

Seminarraum 1

Franz-Mehring-Str. 47


Differential algebraic equations (DAEs) arise in many applications, such as the simulation of constraint multibody systems, electrical networks, the discretization of PDEs, etc. In general, the quality of the numerical solutions of DAEs depends on assumptions that are often not checked rigorously. Consequently, simulations may fail or, even worse, may deliver arbitrary results. 

In this talk, we discuss some specific difficulties of DAEs and illustrate them with several examples.  Particular emphasis will be placed on the determination of the so-called index of the DAE, the diagnosis of singular points, and the computation of consistent initial values using a projector-based approach. Moreover, we present how automatic differentiation (AD) can be used in this context.

About Prof. Dr. Diana Estévez Schwarz

Diana Estévez Schwarz was born in 1972, studied mathematics at the Technische Universität Berlin and received her PhD in 2000 from the Humboldt Universität zu Berlin. Afterwards, she worked as development engineer for circuit simulation software at Infineon Technologies in Munich before she obtained a professorship at the Technische Fachhochschule Berlin in 2006, that was renamed Beuth Hochschule für Technik Berlin in 2009. Her research is focused on differential algebraic equations, in particular, for the computation of the index as well as consistent initial values, the characterization of structural properties and the diagnosis of singularities.

Curvature on graphs

Prof. Dr. Matthias Keller
(Universität Potsdam)

12.07.2017, 14:15 Uhr

Seminarraum 1

Franz-Mehring-Str. 47


The geometry of a graph is tightly linked the spectral theory of graph Laplacian. In this talk we discuss a notion of curvature on planar graphs which goes back to ideas of Descartes. This notion of curvature is then used to deduce spectral bounds from curvature bounds.

About Prof. Dr. Matthias Keller

Matthias Keller was born in 1980. He studied Mathematics in Chemnitz.

He received his PhD in 2010 from the University of Jena. In 2015 he finished his habilitation also in Jena. He had postdoc and visiting professorship positions in Jerusalem and Haifa before he obtained full professorship in Potsdam. Since 2017 he is a principal investigator in the DFG priority programme "Geometry at Infinity".

The main focus of Matthias Kellers research is on spectral theory of graphs and its relation to spectral geometry of Riemannian manifolds.

Reachability in Generalizations of Topological Spaces - Applications to Evolution and Chemistry

Prof. Dr. Peter F. Stadler
(Universität Leipzig)

16.05.2017, 12:15 Uhr

Vortragssaal der Universitätsbibliothek E.21

Felix-Hausdorff-Str. 10


Reachability is a notion that can, in relatively simple cases, be modeled by non-idempotent closure functions. This picture is sufficient e.g. in the context of biological evolution and evolutionary search. The study of chemical universes, comprising a not necessarily finite set of chemical compound organized by chemical reaction that convert them into each other, however, indicates that generalized closures do not convey all the necessary details: after all, chemical universes are directed hypergraphs. An alternative inroad is to start from the complementary notions of separation and connectedness and to generalize these to a non-symmetric setting. In this presentation I will focus on basic properties of the resulting abstract reachability spaces and on open questions.

About Peter F. Stadler

Peter F. Stadler, born in 1965, received his Ph.D. in Chemistry from the University of Vienna in 1990 following studies in chemistry, mathematics, physics and astronomy. After a PostDoc at the Max Planck Institute for Biophysical Chemistry in Goettingen, he returned to Vienna and qualified as a professor in 1994 in Theoretical Chemistry. Since 1994 he is External Professor at the Santa Fe Institute, a research center focused on Complex Systems. In 2002 he moved to the University of Leipzig as Full Professor of Bioinformatics. Since 2009 he is External Scientific Member of the Max Planck Society and head of the "Discrete Biomathematics" group at the MPI for Mathematics in the Sciences. He is corresponding member abroad of the Austrian Academy of Sciences since 2010.

The general theme of his research is the search for a consistent understanding of biological processes (with an emphasis on (molecular) evolution) at the genotypic, phenotypic, and dynamical level.