Workshop

"Graphendatenbanken, GIS und 3D-Modelle in der Bauforschung des Mittelalters (GG3D19)"

Organisatoren: Aaron Pattee, Dr. Hubert Mara, Prof. Matthias Untermann
5. bis 7. Dezmeber 2019

Themen:

• Automatic methods for 3D geospatial data processing
• Geographic applications of 3D data analysis
• Hands-on: 3D point cloud and mesh analysis
• Programming and research challenge: Development of computational methods for 3D information extraction

Eingeladene Referenten:

• Dr.-Ing. Vincent Christlein, Universität Erlangen-Nürnberg
• Irmela Herzog, LVR-Amt für Bodendenkmalpflege im Rheinland, Bonn
• Prof. Dr. Stephan Hoppe, Department Kunstwissenschaften an der Universität München
• Alexander C. Q. Jansen, Digital Archaeology, Leiden University
• Dr. Alexy Karenowska, The Institute for Digital Archaeology at Oxford
• Dr. Andreas Kuczera, Akademie der Wissenschaften und der Literatur, Mainz
• Prof. Dr. Piotr Kuroczyński, Hochschule Mainz
• Prof. Dr. Sander Münster, TU Dresden / Universität Jena
• Martina Trognitz, Österreichische Akademie der Wissenschaften / ZAW & FCGL, IWR, Universität Heidelberg
  

! Registrierung benötigt !

Veranstaltungsort: Mathematikon • Konferenzraum / 5. Stock • Im Neuenheimer Feld 205 • 69120 Heidelberg

IWR Colloquium Winter Semester 2019/ 2020

"Agile - more than just Post-Its and Stand-Ups"

Manuela Schmidt • Agile Coach
December 4, 2019 • 16:15

"Agile" has become a big buzzword not only in software development. To understand agile project management it helps to distinguish between agile values, principles, techniques and methods:

• Agile Values provide the foundation
• Agile Principles are based on agile values and are guidelines for actions
• Agile Techniques are putting the values and principles into practice
• Agile Methods are based on agile techniques to provide a framework for agile project management

We are going to have a look on the meaning of those terms and how existing frameworks could be used in an academic scientific research environment. In addition to the advantages these project management methods can bring we are also going to talk about its limitations and possible pitfalls.

Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

Ausstellungseröffnung

Emil J. Gumbel (1891 – 1966)
Statistiker, Pazifist, Publizist 

"Im Kampf gegen Extreme und für die Weimarer Republik"

Montag, 18. November 2019 • 16:15

Emil Julius Gumbel verband mathematische Exzellenz und gesellschaftliche Courage. Als weltbekannter Mathematiker legte er die Grundlagen der Extremwertstatistik. Zugleich setzte er sich in der „Deutschen Liga für Menschenrechte“ gegen Kriegsverherrlichung und die aufkommende NS-Bewegung ein. Die Universität Heidelberg, an der er seit 1923 Dozent war, entzog ihm 1932 die Lehrerlaubnis. 1933 wurde ihm die deutsche Staatsbürgerschaft aberkannt. Die Ausstellung zeigt anhand historischer Dokumente wichtige Lebensstationen und berühmte Weggefährten im Leben Gumbels.

Website Ausstellung Universität Heidelberg
Website Ausstellung TU München

Veranstaltungsort: Mathematikon • Atrium • Im Neuenheimer Feld 205 • 69120 Heidelberg

IWR Colloquium Winter Semester 2019/ 2020

"From statistics to mechanisms, and back"

Prof. Jakob Macke •  Technical University of Munich (TUM)
November 5, 2019 • 16:15

Many fields of science make extensive use of complex simulations describing the structure and dynamics of the process being investigated. These models are derived from knowledge of the underlying mechanisms and principles, and are of critical importance for scientific hypothesis-building. However, linking such complex models to high-dimensional empirical measurements can be challenging.

We develop computational tools which aim to bridge the gap between data-driven machine learning and theory-driven, mechanistic modelling. In this talk, I will focus on our recent work on using neural conditional density estimators to perform Bayesian inference on simulation-based models. I will demonstrate the efficiency and flexibility of this approach, and highlight applications to dynamical models of biological systems and source-reconstruction in biological imaging.

References:

D Greenberg, M Nonnenmacher, JH Macke: Automatic Posterior Transformation for likelihood-free Inference, International Conference on Machine Learning (ICML) 2019, arxiv.org/abs/1905.07488

JM Lueckmann, P Goncalves, G Bassetto, K Oecal, M Nonnenmacher, JH Macke: Flexible statistical inference for mechanistic models of neural dynamics, Advances in Neural Information Processing Systems (NeurIPS), 2017, arxiv.org/abs/1711.01861

JM Lueckmann, G Bassetto, T Karaletsos, JH Macke: Likelihood-free inference with emulator networks, Proceedings of The 1st Symposium on Advances in Approximate Bayesian Inference, PMLR 96:32-53, 2019. arxiv.org/abs/1805.09294

A Speiser, S Turaga, JH Macke: Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning, preprint, arxiv.org/abs/1907.00770

DGT Barrett, AS Morcos, JH Macke: Analyzing artificial and biological neural networks: Challenges with opportunities for synergies?, Current Opinion in Neurobiology, 02 2019
arxiv.org/abs/1810.13373

Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

Heidelberg Chapter of SIAM

"SIAM Tools Seminar"

September 30 - October 2, 2019 • Heidelberg, Germany

In cooperation with the MathPhysInfo student representatives the Heidelberg Student Chapter of SIAM organizes a “Tools Seminar” from the 30.09-02.10. The Tools Seminar provides an opportunity for scientists and students to get proficient information about certain tools useful for their study or research and to exchange their experience and knowledge about those tools with colleagues and fellow students. The term "tool" is understood in a broad sense ranging from tools useful when developing software to more general issues like how to give a good presentation.

Everybody is welcome to participate!
However, the Tools Seminar is particularly tailored for Master and PhD Students.

Particularly, the aim of the Tools Seminar is to provide profound information which go beyond the basic concepts that many people might already be familiar with. But each talk will also include at least a short introduction to allow the participants to learn about tools they might not have used before. So, no matter which level of experience you have with the tools presented, you should be able to learn something new in this seminar!

! Registration required !

Location: Mathematikon • Im Neuenheimer Feld 205 • Conference Room / 5th Floor • 69120 Heidelberg

IWR School

"A Crash Course in Machine Learning with Applications in Natural- and Life Sciences (ML4Nature)"

September 23-27, 2019 • Heidelberg, Germany

The IWR School 2019 gives a crash course in machine learning with applications from Natural Sciences and Life Sciences. We target young researchers from Natural Sciences and Life Sciences who want to learn more about machine learning. A background in machine learning is not required. Besides introducing the basic concepts of machine learning, we teach selected topics in more depth, such as deep learning, metric learning, transfer learning, Bayesian inverse problems, and causality. Experts from machine learning, Natural Science and Life Science explain how these machine learning approaches are utilized to solve problems in their respective fields of research.

Target Audience

Postgraduate students, PhD candidates, postdocs and young researchers:

• from Natural and Life Sciences: Microscopy, Biology, Medical, Physics,…
• with interest in Machine Learning
• Master students from Heidelberg University (core course listed in LSF)

Speakers

The IWR School 2019 is taught in a series of courses and single lectures by:

• Christoph Lampert, Institute of Science and Technology Austria
• Oliver Stegle, European Bioinformatics Institute
• Robert Scheichl, Heidelberg University
• Dominik Janzing, Max Planck Institute for Intelligent Systems
• Klaus Maier Hein, German Cancer Research Center
• Bjoern Ommer, Heidelberg University
• Ullrich Köthe, Heidelberg University
• Anna Kreshuk, European Molecular Biology Laboratory

! Registration required ! (Deadline: July 7, 2019)

The IWR School 2019 is supported by the Cluster of Excellence STRUCTURES.

Location: Mathematikon • Im Neuenheimer Feld 205 • 69120 Heidelberg

IWR Colloquium Summer Semester 2019

"Bayes-Optimal Filtering in the Tensor Train Format"

Prof. Colin Fox, Romberg Visiting Scholar •  University of Otago, New Zealand
July 31, 2019 • 16:15

Optimal sequential Bayesian inference, or filtering, for the state of a dynamical system requires solving a partial differential equation. For low-dimensional, smooth systems the finite-volume method is an effective solver that gives estimates that converge to the optimal continuous-time values. We develop this finite-volume filter, and give numerical examples that show that the filter we develop is able to handle multi-modal filtering distributions. For higher-dimensional systems the curse or dimensionality may be overcome by representing density functions by an interpolated tensor train decomposition. We give examples of filtering for continuous-time and discrete-time systems.

Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

IWR Colloquium Summer Semester 2019

"The Statistical Finite Element Method"

Prof. Mark A. Girolami •  University of Cambridge, UK
July 3, 2019 • 16:15

The finite element method (FEM) is one of the great triumphs of applied mathematics, numerical analysis and software development. Recent developments in sensor and signalling technologies enable the phenomenological study of systems. The connection between sensor data and FEM is restricted to solving inverse problems placing unwarranted faith in the fidelity of the mathematical description of the system. If one concedes mis-specification between generative reality and the FEM then a framework to systematically characterise this uncertainty is required. This talk will present a statistical construction of the FEM which systematically blends mathematical description with observations.

Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

Symposium

"Moderne Methoden in der Wissenschaftlichen Visualisierung"

Fakultät für Mathematik und Informatik & Interdisziplinäres Zentrum für Wissenschaftliches Rechnen (IWR)
27. Juni 2019

09:00 Uhr
"Guided Parameter Exploration in Interactive Visualization"
Prof. Stefan Bruckner, University of Bergen, Norway

Over the past decades the field of visualization has firmly established itself as an important and constantly expanding discipline within computer science. Computer-based visualization seeks to provide interactive graphical data representations, taking advantage of the extraordinary capability of the human brain to process visual information. Advanced visualization methods now play an important role in the exploration, analysis, and presentation of data in many fields such as medicine, biology, geology, or engineering. This development, however, has also lead to the fact that there is now a vast number of often very specialized techniques to visualize different types of data tailored towards specific tasks. Hence, particularly for non-experts, it becomes increasingly difficult to choose appropriate methods that will provide the optimal answers to their questions.

In this talk, I will discuss previous and ongoing research on how we can explore and navigate the space of visualizations itself. By consider the interplay between data, visualization algorithms, their parameters, perception, and cognition as a complex phenomenon that deserves study in its own right, we are making progress in providing goal-oriented interfaces for visual analysis. For instance, we can make the modification of input parameters of visualization algorithms more intuitive by normalizing their perceived effects over the entire value range, and provide visual guidance about their influence. Furthermore, by incorporating additional knowledge into the visualization process, we can infer information about the goals of a user, and develop smarter systems that automatically suggest appropriate visualization techniques. This line of investigation leads us along the path towards a new type of visual data science, where automated data analysis approaches such as deep learning are tightly coupled with interactive visualization techniques to exploit their complementary advantages for knowledge discovery in data-driven science.

10:00 Uhr
"Topological and Morphological Analysis of Flow Fields and Beyond"
Prof. Filip Sadlo, Universität Heidelberg

This talk focuses on four active branches in scientific visualization research: topological analysis, feature extraction, volume rendering, and solver visualization. We examine various roles of topological analysis in flow fields and beyond, we investigate feature extraction in higher dimensions and higher order, we extend volume rendering beyond direct geometrical optics, and we extend scientific visualization from the traditional analysis of simulated data to analysis of the numerical solvers that produce the data. On the application side, we discuss the utility of the investigated visualization techniques in the natural and life sciences, and indicate possible directions of future research.

11:00 Uhr
"Insights from the Pixel Dump: Scientific Image Visualization"
Prof. Thomas Schulz, Universität Bonn

Big, complex, and dynamic image data play an increasing role in science and medicine. This poses important and interesting challenges to scientific visualization, since the traditional visual inspection of raw images is no longer a suitable strategy for their effective and efficient interpretation. Instead, mathematical modeling, feature extraction, and machine learning are required to pre-process the data, and to allow the human user to reason about it at a higher level of abstraction. This talk will illustrate these points with several specific examples from diffusion Magnetic Resonance Imaging, as well as image data from ophthalmic epidemiology.

Veranstaltungsort: Mathematikon • Konferenzraum, 5. Stock, Raum 5/104 • Im Neuenheimer Feld 205 • 69120 Heidelberg

IWR Colloquium Summer Semester 2019

"Fracture Across Scales and Time
and Implications for Digital Twins"

Prof. Stéphane Bordas • University of Luxembourg
June 26, 2019 • 16:15

Fracture and material instabilities originate at spatial scales much smaller than that of the structure of interest: delamination, debonding, fibre breakage, cell-wall buckling, are examples of nano/micro or meso-scale mechanisms which can lead to global failure of the material and structure. Such mechanisms cannot, for computational and practical reasons, be accounted at structural scale, so that acceleration methods are necessary.

We review in this presentation recently proposed approaches to reduce the computational expense associated with multi-scale modelling of fracture. In light of two particular examples, we show connections between algebraic reduction (model order reduction and quasi-continuum methods) and homogenisation-based reduction.

We open the discussion towards suitable approaches for machine-learning and Bayesian statistical based multi-scale model selection. Such approaches could fuel a digital-twin concept enabling models to learn from real-time data acquired during the life of the structure, accounting for “real” environmental conditions during predictions, and, eventually, moving beyond the era of factors of safety.

Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

IWR Colloquium Summer Semester 2019

"Handling Slender/Thin Geometries with Sharp Edges in Sharp Interface Immersed Boundary Approach"

Prof. Ashoke De • Humboldt Visiting Fellow • Indian Institute of Technology Kanpur, India
June 12, 2019 • 16:15

Immersed boundary framework offers a viable alternative to traditional body conformal computational models in simulating flow past arbitrarily complex geometries. Over the years various immersed boundary formulations have been proposed which can be broadly classified into two approaches namely ‘diffuse’ and ‘sharp’ interface. As the name suggests, diffuse interface impose boundary conditions not at their exact interface boundary but within a localized region around them. Sharp interface on the other hand overcomes this either by reconstructing the solution field near the surface (as in Ghost Cell method) such that the boundary conditions are imposed exactly at the surface or by reconstituting the boundary intercept cells into a non-rectangular control volume (Cut Cells) on which conservation laws are ensured. A major issue with these class of approaches is its inconsistent handling of sharp edges in slender/thin bodies (as in flat plate, trailing edge of an airfoil). With the Cut Cell approach, sharp edges lead to generation of arbitrarily small cells, complex cut cell topologies. Enforcing conservation laws for such cells give rise to numerical stability issues. In case of solution reconstruction algorithms, the nature of difficulty in handling sharp edges is twofold: One, due to inconsistent tagging of Eulerian nodes. Another difficulty is insufficient number of points to maintain the order of accuracy of flux calculations. Several strategies have been proposed to address these issues. In case of cut cells, cell merging, cell clustering, hybrid of ghost cell and cut cell algorithms are proposed to maintain mass conservation. In case of solution reconstruction schemes, approaches like Adaptive Mesh Refinements (AMR) are proposed. These strategies are highly complex both in terms of their formulation and implementation. In this talk, a simple and robust set of procedures for efficiently handling the sharp edges will be presented. Capability of the algorithm is demonstrated successfully through a case study of dynamic stall in oscillating airfoil.

Keywords: Sharp Interface, Immersed Boundary Method, Dynamic Stall, Sharp edges

Location: Mathematikon • Seminar Room A, Ground Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

Compact Course & Workshop

"Spatial and Temporal Analyses of Geographic Phenomena (STAP19)"

Organizers: Katharina Anders, Bernhard Höfle, Hubert Mara
April 1-4, 2019

Topics:

• Automatic methods for 3D geospatial data processing
• Geographic applications of 3D data analysis
• Hands-on: 3D point cloud and mesh analysis
• Programming and research challenge: Development of computational methods for 3D information extraction

Invited speakers:

• Prof. Dr. Andreas Nüchter, University of Würzburg
• Jorge Martínez Sánchez, University of Santiago de Compostela

Registration:
Please register on the website of the Compact Course until February 15, 2019
www.uni-heidelberg.de/stap19

Project Auto3Dscapes:
www.uni-heidelberg.de/auto3Dscapes

Contact: Katharina Anders
katharina.anders@uni-heidelberg.de

Twitter: #STAP19

Location: Mathematikon • Conference Room, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

Exhibition Opening

"Women of Mathematics throughout Europe"

February 25, 2019 • 17:00

The event is organized in close cooperation with the conference "Geometric Analysis meets Geometric Topology“.

This touring exhibition, whose starting point is the 7th ECM held in July 2016 in Berlin, stems from the observation that nowadays, women still find it difficult to embrace a career in the mathematical academic world and the disparity between the proportion of men and that of women among professional mathematicians is still shamefully large.

The thirteen women mathematicians portrayed here share with us their experience, thus serving as role models to stimulate young women scientists to trust their own strength. In presenting mathematics through women mathematicians’ perspectives and samples of their life stories, we hope to highlight the human aspects of producing mathematics, making this discipline more tangible and therefore more accessible to outsiders or newcomers.

This exhibition and the catalogue (publishing house: Verlag am Fluss) are the result of the joint efforts of the photographer Noel Tovia Matoff and four mathematicians by Sylvie Paycha, Sara Azzali, Alexandra Antoniouk, Magdalena Georgescu, with the precious help of Maria Hoffmann-Dartevelle, who translated into German and Sara Munday, who proofread the interviews and, last but not least, our two inspired graphic designers Wenke Neunast/eckedesign (exhibition) and Gesine Krüger (catalogue).

The exhibition will be on display from February 26 - May 31, 2019 at the Foyer of the Mathematikon.

The event is kindly supported by the Heidelberg Laureate Forum Foundation (HLFF).

Link: Exhibition Homepage

Location: Mathematikon • Foyer • Im Neuenheimer Feld 205 • 69120 Heidelberg

16. Modellierungstag Rhein-Neckar

"Moderne Materialien"

24. Januar 2019 • 14:00 Uhr

Moderne Materialien zählen zu den zentralen Zukunftsthemen in der angewandten Forschung. Die Verwendung hochmoderner Planungsprozesse in den Materialwissenschaften und bahnbrechende Entdeckungen in der Nanoforschung, in der organischen Elektronik und in der computergestützten theoretischen Chemie haben zu einer Revolution geführt. Als eine der Schlüsseltechnologien für das 21. Jahrhundert erlauben die Modernen Materialien einen zielgerichteten Einsatz in zahlreichen Anwendungsgebieten. Durch die Kombination von mehreren Eigenschaften werden immer effektivere Werkstoffe ermöglicht. So können zum Beispiel Stoffe entwickelt werden, die gleichzeitig extrem leicht aber dennoch stabil sind oder wesentlich effizienteren Energietransport erlauben.

Was ist von der Materialforschung in der nächsten Dekade an Entwicklungen noch zu erwarten? Wie wirken hier die unterschiedlichen Forschungsrichtungen zusammen? Und welche Rolle spielt die computergestützte Simulationstechnik bei diesem Paradigmenwechsel von der experimentellen Entwicklung neuer Materialien zur gezielten Planung von Materialeigenschaften am Computer? Mit diesen Fragen beschäftigt sich der 16. Modellierungstag. Wir haben Experten aus Universitäten, Forschung und Produktion eingeladen, um in Impulsvorträgen und praxisnahen Diskussionen die zentralen Fragestellungen aus diesem interdisziplinären Feld zu erörtern.

Der Modellierungstag greift die spannende Frage nach der Zukunft von „Modernen Materialien“ auf und fördert den Austausch zwischen Forschern, Entwicklern, Theoretikern und Anwendern. Beiträge aus unterschiedlichen Fachrichtungen liefern dazu Denkanstöße und Diskussionsgrundlagen.

>Die Teilnahme an der Veranstaltung ist nach der Anmeldung kostenfrei. Um Anmeldung bis zum 20. Januar 2019 wird gebeten<

Veranstaltungsort: Marsilius-Kolleg • Im Neuenheimer Feld 130.1 • 69120 Heidelberg

IWR Colloquium Winter Semester 2018 / 2019

"Simulation and Optimization of Energy Networks"

Dr. Sara Grundel •  Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
January 9, 2019 • 16:15

My recent work centers around the simulation of energy networks. In my talk, I will discuss the mathematical challenges as well as some recent results to efficiently simulate transient gas flow within a realistic gas pipeline transportation network. Mathematical models of such a system start from a set of hyperbolic partial differential equations, combined with ordinary differential equations and algebraic equations. Picking the necessary complexity is the first choice to make and discretization allows for a variety of choices again, whose implications we briefly discuss. Finally we attain a system of ordinary differential or differential-algebraic equations (ODE/DAE) that can be successfully reduced in complexity via classical model order reduction techniques. We discuss and compare some known methods for different pipeline networks. Furthermore we introduce an automatic clustering algorithm based on model order reduction principles and its application in power grids as well as water distribution networks.

Location: Mathematikon • Conference Room (5/300), 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg