Kolloquien & Vorträge
Brückenkurs & O-Wochen fürs Mathematikstudium
Der Brückenkurs und die Orientierungsveranstaltungen für Studienanfänger*innen der Mathematik findet dieses Wintersemester im Zeitraum vom 25.09.2023 bis zum 13.10.2023 statt. Bitte haltet euch diesen Zeitraum frei! Die erste Vorlesung startet am 25.09 um 09:00 in Hörsaal 001 der Arnimallee 3 . Es ist keine Anmeldung notwendig und es stellt kein Problem dar, wenn ihr bis dahin noch nicht immatrikuliert seid. Genauere Infos werden nach und nach auf der Seite für Studienanfänger*innen des studentischen Beratungszentrum veröffentlicht. Bitte guckt nach Immatrikulation und erhalt eurer FU-Zugangsdaten auch regelmäßig eure FU-Mails! (Wenn ihr bis dahin keine Zugangsdaten habt, schaut bitte um so häufiger auf der Seite nach.) Bei Fragen, wendet euch gerne an das Mentoring der Mathematik: mathe-mentoring@mi.fu-berlin.de
Ort: Arnimallee 3, HS 001
Brückenkurs & Orientierungswochen fürs (Bio)informatikstudium
Der Brückenkurs und die Orientierungsveranstaltungen für Studienanfänger*innen der Informatik & Bioinformatik findet dieses Wintersemester im Zeitraum vom 02.10.2023 bis zum 13.10.2023 statt. Bitte haltet euch diesen Zeitraum frei! Die erste Vorlesung dazu startet am 02.10.2023 um 09:00 im großen Hörsaal der Takustraße 9 . Es ist keine Anmeldung notwendig und es stellt kein Problem dar, wenn ihr bis dahin nicht immatrikuliert seid. Genauere Infos werden nach und nach auf der Seite für Studienanfänger*innen des studentischen Beratungszentrum veröffentlicht. Bitte guckt nach Immatrikulation und erhalt eurer FU-Zugangsdaten auch regelmäßig eure FU-Mails! (Wenn ihr noch keine Zugangsdaten habt, guckt um so häufiger auf die Webseite) Bei Fragen, wendet euch gerne an das Mentoring der Informatik info-mentoring@mi.fu-berlin.de bzw. an der Mentoring der Bioinformatik bioinf-mentoring@mi.fu-berlin.de .
Ort: Takustraße 9, großer Hörsaal
Orientation Day for International Students
Programm of the Central Orientation Day for International Students
Ort: Audimax, Henry-Ford-Bau, Garystr. 35, 14195 Berlin
International Campus Tour
Ort: 10 Uhr Kirschgarten an der Holzlaube Fabeckstr. 23 - 25, 14195 Berlin
Disputation Marco David Blanco Sandoval
Thema der Dissertation: Optimization Algorithms for the Flight Planning Problem Thema der Disputation: Algorithms for the Shortest Path Problem
Ort: Seminarraum 032 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin) UND
Disputation Toyomu Matsuda
Thema der Dissertation: Fractional Stochastic Calculus via Stochastic Sewing Thema der Disputation: On random interlacements
Ort: Seminarraum 031 (Fachbereich Mathematik und Informatik, Arnimallee 7, 14195 Berlin)
Disputation Jörg Winkler
Thema der Dissertation: Algorithms for finding RNA sequence-structure motif Thema der Disputation: Why is predicting RNA structure so hard? Lessons from machine learning-based protein structure prediction
Ort: Seminarraum 049 (Fachbereich Mathematik und Informatik, Takustr.9, 14195 Berlin)
Disputation Abhishek Paraswarar Harikrishnan
Thema der Dissertation: Geometry and dynamics of coherent structures in the stably stratified atmospheric boundary layer Thema der Disputation: Direct observation of vortex reconnection in turbulent flows
Ort: Seminarraum 031 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Tatiana Levinson
Thema der Dissertation: Convex partitions of vector bundles and fibrewise configuration spaces Thema der Disputation: What is topological complexity?
Ort: Seminarraum 019 (Fachbereich Mathematik und Informatik, Arnimallee 3, 14195 Berlin)
Disputation Siva Prasad Chakri Dhanakoti
Thema der Dissertation: Study of Intrinsically Curved Elastic Rods Under External Loads with Applications to Concentric Tube Continuum Robots and their Control Thema der Disputation: Port-Hamiltonian Systems and Their Control
Ort: Seminarraum 2006 (Zuse Institut Berlin, Takustr. 7, 14195 Berlin)
Disputation Jan Robin Winter
Thema der Dissertation: Unsupervised Learning of Molecular Representations for Drug Development Thema der Disputation: Machine Learning for Molecular Property Prediction and Optimisation in Drug Discovery
Disputation Melania Nowicka
Thema der Dissertation: Design and multi-criteria optimization of cell classifier circuits in cancer therapy Thema der Disputation: How to apply machine learning to biological data and sleep well: pitfalls and mitigation strategies
Ort: Seminarraum 032 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Alexander Müller
Thema der Dissertation: Assembly and norm maps via genuine equivariant homotopy theory Thema der Disputation: On commutative monoids and the universality of infinite loop space machines
Ort: Seminarraum 019 (Fachbereich Mathematik und Informatik, Arnimallee 3, 14195 Berlin)
Disputation Huy Le Duc
Thema der Dissertation: On-premise containerized, light-weight software solutions for Biomedicine Thema der Disputation: Distributed Projection-based Methods for Large-Scale Linear Systems
Ort: Seminarraum 2006 (Zuse Institut Berlin, Takustr.7, 14195 Berlin)
Disputation Martin Hanik
Thema der Dissertation: Geometric Data Analysis: Advancements of the Statistical Methodology and Applications Thema der Disputation: Convolutions over non-Euclidean Domains
Ort: Seminarraum 2006 (Zuse Institut Berlin, Takustr.7,14195 Berlin)
Disputation Franziska Erlekam
Thema der Dissertation: Kinetics of Multivalent Binding Processes Thema der Disputation: Named Entity Recognition in Forensic Data Analytics
Ort: Seminarraum (Zuse Institut Berlin, Takustr. 7, 14195 Berlin)
Anand Srivastav (Kiel): Recent Advances in the Maker Breaker Subgraph Game
The triangle game introduced by Chvátal and Erdős (1978) is one of the old and famous combinatorial games. For n , q ∈ N, the ( n , q )-triangle game is played by two players, called Maker and Breaker, on the complete graph K _ n . Alternately Maker claims one edge and thereafter Breaker claims q edges of the graph. Maker wins the game if he can claim all three edges of a triangle. Otherwise Breaker wins. Chvátal and Erdős (1978) proved that for q < sqrt( n /2), Maker has a winning strategy, while for q > 2 sqrt( n ), Breaker wins. So, the threshold bias must be in the interval [sqrt(1/2)sqrt( n ) , 2 sqrt( n )]. Since then, the problem of finding the exact constant (and an associated Breaker strategy) for the threshold bias of the triangle game has been one of the interesting open problems in combinatorial game theory. In fact, the constant is not known for any graph with a cycle and we do not even know if such a constant exists. Balogh and Samotij (2011) slightly improved the Chvátal-Erdős constant for Breaker’s winning strategy from 2 to 1.935 with a randomized approach. Thereafter, no progress was made. In this work, we present a new deterministic strategy for Breaker leading to his win if q > sqrt(8/3) sqrt( n ), for sufficiently large n . This almost matches the Chvátal-Erdős bound of sqrt(1/2)sqrt( n ) for Maker's win (Glazik, Srivastav, Europ. J. Comb. 2022). In contrast to previous (greedy) strategies we introduce a suitable non-linear potential function on the set of nodes. By keeping the potential small, Breaker picks edges that neutralize the most ‘dangerous’ nodes with incident Maker edges blocking Maker triangles. A characteristic property of the dynamics of the game is that the total potential is not monotone decreasing. In fact, the total potential of the game may increase, even for several turns, but finally Breaker’s strategy prevents the total potential of the game from exceeding a critical level, which results in Breaker’s win. We further survey recent results for cycles of length k , and a general potential function theorem (Sowa, Srivastav 2023). This is joint work with Christian Glazik, Christian Schielke and Mathias Sowa, Kiel University.
Ort: Freie Universität Berlin Institut für Informatik Takustr. 9 14195 Berlin Great Lecture Hall (Ground Floor)
Ralf Kornhuber (FU-Berlin): Neural networks, Fredholm integral equations and all that jazz …
The industrial revolution started with the invention of the steam engine in the 19th century and has made physical work redundant to a large extend. Data Science and Artificial Intelligence (AI) might have the potential to play a similar role for intellectual work. There is a huge overlap of Data Science and AI with mathematics, which on one hand comes with unprecedented social responsibility of mathematics and on the other hand with lots of opportunities for application and extension of existing mathematical concepts and results. In this talk, I will give three examples. First I will present some recent ideas on neural network training by Fredholm integral equations (joint work with P. Gelß and A. Issgali). Then I will rely on recent work of other authors to discuss the curse of dimensionality in neural network approximation, and to finally sketch a backward error attack on deep learning.
Ort: Seminarraum 019 Arnimallee 3 14195 Berlin
Mathematische Forschung verstehen
Mit der Vortragsreihe „Mathematische Forschung verstehen“ möchten wir jedem die Möglichkeit geben, einen Zugang zu mathematischer Forschung zu erhalten.
Ort: FU Berlin, Institut für Mathematik, Arnimallee 3, HS 001
Disputation Oliver Wiese
Thema der Dissertation: Der Phish und die Nutzerin: Formalisierung, Konzeption und Analyse Thema der Disputation: Herausforderungen bei der Anwendung von empirischen Methoden in der menschen-zentrierten IT-Sicherheit
Ort: Hörsaal 001 (Fachbereich Mathematik und Informatik, Arnimallee 3, 14195 Berlin)
Disputation Alejandro López Nieto
Thema der Dissertation: Enharmonic motion: Towards the global dynamics of negative delayed feedback Thema der Disputation: Soliton asymptotics of shallow-water waves
Ort: Seminarraum 140 (Fachbereich Mathematik und Informatik, Arnimallee 7, 14195 Berlin)
Tibor Szabó (FU Berlin): Topology at the North Pole
In the max-min allocation problem a set P of players are to be allocated disjoint subsets of a set R of indivisible resources, such that the minimum utility among all players is maximized. We study the restricted variant, also known as the Santa Claus problem , where each resource has an intrinsic positive value, and each player covets a subset of the resources. Bezakova and Dani showed that this problem is NP-hard to approximate within a factor less than 2, consequently a great deal of work has focused on approximate solutions. The principal approach for obtaining approximation algorithms has been via the Configuration LP (CLP) of Bansal and Sviridenko. Accordingly, there has been much interest in bounding the integrality gap of this CLP. The existing algorithms and integrality gap estimations are all based one way or another on the combinatorial augmenting tree argument of Haxell for finding perfect matchings in certain hypergraphs. Here we introduce the use of topological tools for the restricted max-min allocation problem. This approach yields substantial improvements in the integrality gap of the CLP. In particular we improve the previously best known bound of 3.808 to 3.534. The talk represents joint work with Penny Haxell.
Ort: Freie Universität Berlin Institut für Informatik Takustr. 9 14195 Berlin Great Lecture Hall (Ground Floor)
Disputation Erhun Giray Tuncay
Thema der Dissertation: Optimizing Global Network Alignment in Protein-Protein lnteraction Networks Thema der Disputation: Clustering approaches in protein-protein interactions networks
Ort: Seminarraum (Zuse Institut Berlin, Takustr. 7, 14195 Berlin)
Mathematische Forschung verstehen
Mit der Vortragsreihe „Mathematische Forschung verstehen“ möchten wir jedem die Möglichkeit geben, einen Zugang zu mathematischer Forschung zu erhalten.
Ort: FU Berlin, Institut für Mathematik, Arnimallee 3, HS 001
inFUtage
Ort: Henry-Ford-Bau Garystr. 35 14195 Berlin
Günter Rote (Freie Universität Berlin): Grid Peeling and the Affine Curve-Shortening Flow
Grid Peeling is the process of taking the integer grid points inside a convex region and repeatedly removing the convex hull vertices. By contrast, the Affine Curve-Shortening Flow (ACSF) is defined as a particular deformation of a smooth curve. It has been observed in 2017 by Eppstein, Har-Peled, and Nivasch, that, as the grid is refined, Grid Peeling converges to the Affine Curve-Shortening Flow. As part of the M.Ed. thesis of Moritz Rüber, we have investigated the grid peeling process for special parabolas, and we could observe some striking phenomena. This has lead to the precise value of the constant that relates the two processes. With Morteza Saghafian from IST Austria, we could prove the convergence of grid peeling for the class of parabolas with vertical axis.
Ort: Freie Universität Berlin Institut für Informatik Takustr. 9 14195 Berlin Great Lecture Hall (Ground Floor)
Mathematische Forschung verstehen
Mit der Vortragsreihe „Mathematische Forschung verstehen“ möchten wir jedem die Möglichkeit geben, einen Zugang zu mathematischer Forschung zu erhalten.
Ort: FU Berlin, Institut für Mathematik, Arnimallee 3, HS 001
Habilitationsvortrag Dr. Isabelle Schneider
Thema des Habilitationsvortrag: From Pythagoras to Differential Equations: Uncovering the Mysteries of Musical Sound
Ort: Hörsaal 001, Arnimallee 3, 14195 Berlin
Mathematische Forschung verstehen
Mit der Vortragsreihe „Mathematische Forschung verstehen“ möchten wir jedem die Möglichkeit geben, einen Zugang zu mathematischer Forschung zu erhalten.
Ort: FU Berlin, Institut für Mathematik, Arnimallee 3, HS 001
Disputation Jakob Konrad Hertzberg
Thema der Dissertation: Identification and Prioritization of Putative Pathogenic Structural Variants based on Functional Annotation Thema der Disputation: Transformer Neural Networks and their Application in Bioinformatics
Ort: Seminarraum 046 (Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin)
Disputation Martin Stahn
Thema der Dissertation: Augmented Generators for Non-autonomous Flows Thema der Disputation: Data-driven discretization of the dynamic Laplacian
Ort: Seminarraum 108/109 (Fachbereich Mathematik und Informatik, Arnimallee 6,14195 Berlin)
Disputation Andreas Mardt
Thema der Dissertation: Deep learning of the dynamics of complex systems with its applications to biochemical molecules Thema der Disputation: From Complexity to Clarity: Understanding Protein Dynamics with Markov State Models
Ort: Hörsaal B (0.1.01) (FB Physik, Arnimallee 14, 14195 Berlin)
Disputation Serkan Emek
Thema der Dissertation: Iteration von harmonischen Robin-Funktionen Thema der Disputation: Parkettierungs-Spiegelungs-Prinzip
Disputation Helena Katharina Kremp
Thema der Dissertation: Topics in particle systems and singular SDEs Thema der Disputation: Carleson's Theorem and connections to ergodic theory
Ort: Seminarraum 031 (Fachbereich Mathematik und Informatik, Arnimallee 7, 14195 Berlin)
Disputation Thore Manuel Bürgel
Thema der Dissertation: Machine learning for data-driven primary prevention at population scale Thema der Disputation: Data-driven health management and the era of value-based care
Ort: Seminarraum 031 (Fachbereich Mathematik und Informatik, Arnimallee 7, 14195 Berlin)
Disputation Stephan Schwartz
Thema der Dissertation: Optimal Graph Coverings with Connected Subgraphs Thema der Disputation: Mathematical Models for Districting Problems
Ort: Seminarraum 031 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Daniel Rosebrock
Thema der Dissertation: Dissecting regional heterogeneity and modeling transcriptional cascades in brain organoids Thema der Disputation: Markov chain Monte Carlo (MCMC) methods
Ort: Seminarraum 005 (Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin)
Kolloquiumsvortrag Dr. Anna Hilsmann
Kolloquiumsvortrag Dr. Anna Hilsmann (Fraunhofer Heinrich-Hertz-Institut): Learning to be human: Von volumetrischem Video zu realistischen Avataren
Ort: SR 006, Takustr. 9, 14195 Berlin
Vorlesungsfreie Zeit
Wir wünschen euch alle erholsame Semesterferien ;)
Disputation Talia Beatrice Kimber
Thema der Dissertation: Machine Learning for Kinase Drug Discovery Thema der Disputation: Virtual screening in computer-aided drug discovery: molecular encodings and deep learning models
Mathematische Forschung verstehen
Mit der Vortragsreihe „Mathematische Forschung verstehen“ möchten wir jedem die Möglichkeit geben, einen Zugang zu mathematischer Forschung zu erhalten.
Ort: FU Berlin, Institut für Mathematik, Arnimallee 3, HS 001
Max von Kleist (FU-Berlin Antrittsvorlesung): Mathematics for public health
Public health is concerned with measures that improve the general health and prevent infections. In my talk, I will give an overview and outlook of our current work and explain how data science in conjunction with mathematical modeling and simulation can be utilized to guide public health decisions. In particular, I will present approaches that utilize primary and secondary data of SARS-CoV-2 to permanently monitor and assess the pandemic. Moreover, I will give examples where these approaches supported the choice of containment and testing strategies in 2020/21. I will then give some insight into our ongoing work in the field of HIV-1 prevention, the mathematical methods developed along the way, and illustrate how this work is used to quantify risk reduction, to develop guidelines, as well as to a posteriori assess the impact of interventions on the HIV pandemic.
Ort: Seminarraum 019 Arnimallee 3 14195 Berlin
Habilitationsvortrag Dr. Patricio Farrell
Thema des Habilitationsvortrag: Quantum Computing
Ort: Fachbereich Mathematik und Informatik, Seminarraum 019, Arnimallee 3, 14195 Berlin
Disputation Peter Tillmann
Thema der Dissertation: Optimizing bifacial tandem solar cells for realistic operation conditions Thema der Disputation: Application of layer-wise relevance propagation for explainable neural networks in image recognition
Ort: Hörsaal des Zuse-Institutes Berlin (ZIB) (Takustr.7, 14195 Berlin)
Habilitationsvortrag Prof. Dr. Marco Block-Berlitz
Thema des Habilitationsvortrag: Zeig mir nur einen Teil von Dir und ich werde Dich erkennen!
Ort: Fachbereich Mathematik und Informatik, Seminarraum 046, Takustr.9, 14195 Berlin
Disputation Larissa Groth
Thema der Dissertation: A Vulnerability Management Solution for constrained IoT devices with a Trusted Execution Environment using a Hardware Root of Trust Thema der Disputation: Use and Misuse of the IoT - Recent Challenge
Marita Thomas (FU-Berlin Antrittsvorlesung): Modeling and Analysis of Bulk-Interface Processes
Heterogeneous materials can be seen as bulk-interface systems. They consist of distinct bulk components with different material properties meeting at thin interfacial layers forming lower-dimensional substructures of the system. In many applications the properties of interfaces strongly impact the functionality of the whole system and, in turn, interfaces are strongly affected by processes taking place in the bulk material. Interfaces thus follow their own evolution laws in interaction with bulk processes. In this talk I discuss a general thermodynamical modeling framework for bulk-interface processes and, in particular, apply it to problems related to heat conduction and fracture in elastic composites. Here, a challenge in the modeling and in the analysis lies in the change of the material geometry with the progressing fracture and in the constraint that in many materials crack growth is a unidirectional process, since the crack cannot heal. Models suited to handle these challenges and thus suited to describe dynamic fracture processes in elastic solids with the aid of non-smooth constraints will be introduced. Recent results on their mathematical analysis will be presented.
Ort: Seminarraum 019 Arnimallee 3 14195 Berlin
Kolloquiumsvortrag Dr. Franz Zieris
Kolloquiumsvortrag Dr. Franz Zieris: Agiler Öltanker oder Freeclimbing? Von der Anforderung zur Umsetzung in Kundenprojekten
Ort: Raum 046, Takustr. 9, 14195 Berlin
Kolloquiumsvortrag Dr. Franz Zieris
Kolloquiumsvortrag Dr. Franz Zieris: Agiler Öltanker oder Freeclimbing? Von der Anforderung zur Umsetzung in Kundenprojekten
Ort: Raum 046, Takustr. 9, 14195 Berlin
Disputation Jes Lasse Hinrichsen-Bischoff
Thema der Dissertation: Adaptive Discontinuous Galerkin Methods for Variational Inequalities with Applications to Phase Field Models Thema der Disputation: Virtual Element Methods
Ort: Seminarraum 108 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Mathematische Forschung verstehen
Mit der Vortragsreihe „Mathematische Forschung verstehen“ möchten wir jedem die Möglichkeit geben, einen Zugang zu mathematischer Forschung zu erhalten.
Ort: FU Berlin, Institut für Mathematik, Arnimallee 3, HS 001
Disputation Annkatrin Sarah Bressin
Thema der Dissertation: A Multi-Omics Analysis of Transcription Control by BRD4 Thema der Disputation: Testing statistical models on RNA-seq and NET-seq data
Akademische Ferien
Wir wünschen Euch eine schöne Weihnachtszeit und einen guten Rutsch ins neue Jahr!
Disputation Laura Cifuentes Fontanals
Thema der Dissertation: Methods for control strategy identification in Boolean networks Thema der Disputation: Computational algebra methods for Boolean networks
Ort: Seminarraum 108/109 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Claudia Schillings (FU-Berlin Antrittsvorlesung): Quantification of uncertainty for inverse and optimization problems
Approaches to decision making and learning mainly rely on optimization techniques to achieve “best” values for parameters and decision variables. In most practical settings, however, the optimization takes place in the presence of uncertainty about model correctness, data relevance, and numerous other factors that influence the resulting solutions. For complex processes modeled by nonlinear ordinary and partial differential equations, the incorporation of these uncertainties typically results in high or even infinite dimensional problems in terms of the uncertain parameters as well as the optimization variables. We will discuss methods which can be shown to be robust with respect to the number of parameters and are therefore suitable for this setting.
Ort: Seminarraum 019 Arnimallee 3 14195 Berlin
Mathematische Forschung verstehen
Mit der Vortragsreihe „Mathematische Forschung verstehen“ möchten wir jedem die Möglichkeit geben, einen Zugang zu mathematischer Forschung zu erhalten.
Ort: FU Berlin, Institut für Mathematik, Arnimallee 3, HS 001
Disputation Sebastian Fischer
Thema der Dissertation: Internet of Things: A Model for Cybersecurity Standards and the Categorisation of Devices Thema der Disputation: Cybersecurity for IoT - Standards, Regulations and Research
Ort: Raum 108/109 (FB Mathematik und Informatik, Arnimalle 6, 14195 Berlin)
EinS@FU-Winterfest
Ort: Holzlaube (vgl. Einladungsmail)
Disputation Simona Stanislavova Boyadzhiyska
Thema der Dissertation: Minimal Ramsey graphs, orthogonal Latin squares, and hyperplane coverings Thema der Disputation: The extremal number of surfaces
Ort: Seminarraum 032 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Milena Hering (Edingburgh): Embedding of Algebraic Varieties and Toric Vector bundles
Algebraic varieties are geometric objects that can be described as the zero locus of polynomial equations. While the relationship between geometry and algebra is fundamental to algebraic geometry, it still remains quite mysterious. I will explain some aspects that are known about it, as well as some open questions. And how toric vector bundles enter the equation.
Ort: Seminarraum 019 Arnimallee 3 14195 Berlin
Arend Bayer (Edingburgh): Derived Categories, Wall-crossing and Birational Geometry
Birational geometry studies maps between algebraic varieties defined by rational functions. Recently, derived categories, stability conditions and wall-crossing have led to an entirely new approach to fundamental open questions in birational geometry. I will survey these developments, with an emphasis on Hyperkaehler varieties and cubic fourfolds.
Ort: Seminarraum 019 Arnimallee 3 14195 Berlin
Disputation Tom Dörffel
Thema der Dissertation: Moisture-Induced Dynamics of Tilted Tropical Cyclones Thema der Disputation: Tipping Points in the Climate System
Disputation Sahar Iravani
Thema der Dissertation: Interpretable Deep Learning Approaches for Biomarker Detection from High-Dimensional Biomedical Data Thema der Disputation: Self-Supervised Learning for Visual Representation
Ort: Seminarraum (Zuse Institut Berlin, Takustr. 7, 14195 Berlin)
Disputation Franziska Boenisch
Thema der Dissertation: Secure and Private Machine Learning Thema der Disputation: What Trust Model is Needed for Federated Learning to be Private?
Disputation Felix Paul Ambellan
Thema der Dissertation: Efficient Riemannian Statistical Shape Analysis with Applications in Disease Assessment Thema der Disputation: Principal Geodesic Analysis and the Riemannian Exponential in Lie Groups
Ort: Seminarraum (EG Rundbau) (ZIB, Takustr.7, 14195 Berlin)
Besuch eines Science Slams
Bei unserem nächsten Socialevent wollen wir uns die Forschung von drei verschiedenen Wissenschaftler*innen anhören. Davor oder danach geht es dann noch in eine Bar, wo wir in entspannter Atmosphäre über die Themen diskutieren können.
Ort: Zeiss-Großplanetarium Prenzlauer Allee 80 10405 Berlin
Ana Djurdjevac (FU-Berlin Antrittsvorlesung): Randomness and PDEs: Analysis, Numerics and Applications
We will first consider interacting particle systems that provide powerful models that are useful in many application areas such as sociology (agents), molecular dynamics (proteins) etc. The first model that we will define is a non-linear stochastic PDE that provides a faithful representation of the evolution of the empirical density of a given particle system. This model has a direct applications in the opinion dynamics that will be discussed. Furthermore, we will explain difficulties in numerical approximations of these problems. Instead of considering many particles, next we will consider just one Brownian particle, but which is now evolving on a random domain. Using the rough path analysis, we will investigate different scaling regimes of this system. As a natural question in this setting is how to present a Gaussian random fields on a sphere. One way to do this is using the so-called spherical harmonics. We will discuss the advantages of this approach and challenges in its generalizations to an arbitrary manifold.
Ort: Seminarraum 019 Arnimallee 3 14195 Berlin
Mathematische Forschung verstehen
Mit der Vortragsreihe „Mathematische Forschung verstehen“ möchten wir jedem die Möglichkeit geben, einen Zugang zu mathematischer Forschung zu erhalten.
Ort: FU Berlin, Institut für Mathematik, Arnimallee 3, HS 001
Disputation Moritz Hoffmann
Thema der Dissertation: Efficient algorithms for simulation and analysis of many-body systems Thema der Disputation: Discovering governing equations from time-series data
Disputation Roya Ebrahimi Viand
Thema der Dissertation: Molecular Dynamics Simulation of Open Systems far from Equilibrium Thema der Disputation: Solution to Archie's law puzzle in porous media
Ort: Seminarraum 032 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Abbas Gholami Poshtehani
Thema der Dissertation: Coupling boundary conditions in continuum-particle approach for open systems: theoretical analysis and computational implementation Thema der Disputation: Electrolyte flows and the governing mathematical models and numerical approach for the modelling
Ort: Seminarraum 031 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Mona Milena Rams
Thema der Dissertation: New approaches for unsupervised transcriptomic data analysis based on Dictionary learning Thema der Disputation: Trajectory inference from single-cell transcriptomic data with Slingshot
Ort: Seminarraum (Zuse Institut Berlin, Takustr. 7, 14195 Berlin)
Stuzubi Messe Berlin
Das Mentoring-Team Geschichte Kultur geht gemeinsam mit EinS@FU-Studierenden zur Stuzubi Messe in Berlin.
Disputation Laith Rastanawi
Thema der Dissertation: On 4-Dimensional Point Groups and on Realization Spaces of Polytopes Thema der Disputation: Projectively unique polytopes
Ort: Seminarraum (Fachbereich Mathematik und Informatik, Arnimallee 2, 14195 Berlin)
Workshop: Bürokratie im Studium
Ort: Takustr. 9 SR005
Disputation Philip Daniel Kleinert
Thema der Dissertation: Computational interpretation of disease-causing, structural, and non-coding human genetic variants Thema der Disputation: Computational prediction of protein structures using a neural-network based model
Ort: Seminarraum 032 (FB Mathematik und Informatik, Arnimalle 6, 14195 Berlin)
Disputation Marie Hoffmann
Thema der Dissertation: What is in my Sample? - Challenges and Approaches for Unveiling the Hidden Diversity in Plankton Samples Thema der Disputation: Designing highly multiplex PCR primer sets with Simulated Annealing Design using Dimer Likelihood Estimation (SADDLE)
Ort: Seminarraum 006 (Fachbereich Mathematik und Informatik, Takusstr.9, 14195 Berlin)
Disputation Gottfried Hastermann
Thema der Dissertation: Analysis of the Cell-Vertex Finite Volume Method for Pseudo-Incompressible Divergence Constraints on Quadrilateral and Cuboid Meshes Thema der Disputation: Structure preserving integration of the Vlasov-Poisson equation
Disputation Cenk Gündoğan
Thema der Dissertation: Information-centric Networking for the Constrained Internet of Things Thema der Disputation: Inter-networking Resource-constrained Things
Disputation Sebastian Niehus
Thema der Dissertation: Multi-Sample Approaches and Applications for Structural VariantDetection Thema der Disputation: Analysis of the expanded 1000 Genomes Project cohort using svtools
Ort: Seminarraum 108/109 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Jonathan Kliem
Thema der Dissertation: Applications of Topology, Combinatorics and Algorithms to Discrete Geometry Thema der Disputation: Thieves and Necklaces
Disputation Lam-Ha Ly
Thema der Dissertation: Deciphering cellular heterogeneity by single-cell transcriptome analysis Thema der Disputation: Approaches for network reconstruction using transcriptome data
Ort: Ort: Seminarraum 049 (Fachbereich Mathematik und Informatik, Takustr.9, 14195 Berlin)
Disputation Jan-Hendrik Niemann
Thema der Dissertation: Learning Reduced Models for Large-Scale Agent-Based Systems Thema der Disputation: Decentralized and Distributed Optimization
Disputation Luzie Helfmann
Thema der Dissertation: Non-stationary Transition Path Theory with applications to tipping and agent-based models Thema der Disputation: Large Deviation Results for Dynamics of Many Agent
Ort: Ort: Seminarraum (Zuse Institut Berlin, Takustr. 7, 14195 Berlin)
Disputation Eldar Abdullaev
Thema der Dissertation: Dynamical Aspects of the Evolution of Segmental Duplications in the Human Genome Thema der Disputation: The Support Vector Machines (SVMs) and the kernel method
Habilitationsvortrag Dr. Thilo Muth
Habilitationsvortrag zum Thema: Computational techniques for identifying and classifying metabolites using untargeted mass spectrometry
Ort: gr. Hörsaal der Informatik (Takustr. 9, 14195 Berlin)
Disputation Elzbieta Lidia Gralinska
Thema der Dissertation: Association Plots visualize cluster-specific genes from high-dimensional transcriptomics data Thema der Disputation: Dimensionality reduction methods
Ort: Ort: Seminarraum 049 (Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin)
Disputation Jakub Maciej Bartoszewicz
Thema der Dissertation: Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences Thema der Disputation: Discovering regulatory motif syntax in eukaryotic genomes with convolutional neural networks
Disputation Niklas Björn Wulkow
Thema der Dissertation: Modelling Observations of Dynamical Systems with Memory Thema der Disputation: Robust numerical schemes for the approximation of the memory kernel in the Generalized Langevin Equation
Disputation Martyna Katarzyna Gajos
Thema der Dissertation: Analysis of the determinants of Pol II pausing Thema der Disputation: Interpretable machine learning approaches in genome regulation research
Disputation Joscha Podlesny
Thema der Dissertation: Multiscale Modeling and Simulation of Deformation Accumulation in Fault Networks Thema der Disputation: Generalization error estimates for physics-informed neural networks
Ort: Ort: Raum 108/109 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Vyacheslav Boyko
Thema der Dissertation: Data-driven modeling of intermittent turbulence in the stably stratified atmospheric boundary layer Thema der Disputation: A method for circulation-based topological decomposition of fluid-dynamical data
Ort: Seminarraum 126 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)