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Berlin International Graduate School in Model and Simulation based Research (BIMoS)BIMoS Days


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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 2019

BIMoS Day "How we perceive surfaces"

by Prof. Dr. Marianne Maertens (TU Berlin)

May 29th, 2019 (16:15 - 18:00)

H 3005, TU Berlin Main Building, Straße des 17. Juni 135, 10623 Berlin


16:15 - 18:00 incl. coffee break

In vision research we want to understand how human visual perception works. Human observers are equipped with a visual apparatus that allows us to perceive our environment without any effort. We open our eyes and see. Seeing feels like an easy thing to do, but contrary to how it feels, the process of perception is quite complex and has turned out to be difficult to understand. The goal of visual perception research is to understand the remarkable human capability to perceive objects and their properties, such as object boundaries or surface color, despite the ambiguity inherent in the retinal image. The retinal image is locally ambiguous, because the light, which stimulates a photoreceptor, is a mix of a variety of sources such as the object’s reflectance, the local illumination and potentially intervening media such as fog or milky glass: a black paper in bright light and a white paper in a shadow might reflect the same amount of light to the eye, and yet, the black paper appears black and the white paper white.

Of course, normally, when we look at a scene, light stimulates many more than a single photoreceptor, and the local ambiguity is resolved by the entire stimulation pattern, but how exactly the contextual stimulation is used for perception remains elusive. In my presentation, I will talk about the general questions studied in visual perception research and about specific research questions in the domain of lightness perception. I will present typical experimental approaches as well as attempts to formulate theoretical models of lightness perception. In the practical session we will look at a demonstration of a perceptual phenomenon in lightness perception and experience and discuss potential problems associated with the quantitative assessment of subjective percepts.


BIMoS Day "Inference problems in high dimensional linear models"

by Prof. Dr. Alexandra Carpentier (Otte von Guericke University Magdeburg)

June 18, 2019 (16:15 - 18:00)

HBS 005, TU Berlin Annex Building, Hardenbergstraße 16-18, 10623 Berlin


16:15 - 18:00 incl. coffee break

The problem of statistical inference - estimation and construction of confidence sets - is at the heart of statistics. It has been thoroughly studied and is very precisely understood in small dimensional statistical models. However classical inference methods typically do not function in the high dimensional setting, i.e. when the dimension of the model is larger than the number of observations. In this talk I will present the problem of inference in two simple high dimensional models - linear regression and matrix regression/completion - and present typical approaches that are proposed.


BIMoS Day "Perspectives on Exploratory Modeling: Bridging Natural, Social, and Human Sciences"

by Prof. Dr. Axel Gelfert (TU Berlin)

July 1, 2019 (16:15 - 18:00)

H 1029, TU Berlin Main Building, Straße des 17. Juni 135, 10623 Berlin


16:15 - 17:45

Modeling and simulation are an essential part of scientific practice, and those that have made it their goal to study scientific practice – for example, historians and philosophers of science – have acknowledged this for many decades. Indeed, many of them are not only passive observers of science, but routinely engage with – and immerse themselves in – scientific practice. (This hasn’t always been the case!) In recent years, one mode of scientific practice that has received a lot of attention is what has been called exploratory research. This refers to inquiry in the absence of stable underlying theoretical accounts. ‘Getting a handle’ on potentially elusive phenomena, ‘trying out’ explanations, coming up with sketches of potential theories, etc. make up a good part of scientific practice.

In this talk, I will illustrate this turn to exploratory science with examples from scientific modelling across a number of disciplines. Exploratory modeling fulfills specific epistemic (i.e. knowledge-oriented) functions – and it also provides a productive ‘trading zone’ for the social, natural, and human sciences, as well as common ground for scientists and those that study science.



Previous BIMoS Days:

Winter term 2018/2019

"The Mathematics of Multiple Antenna Communications" by Prof. Dr. Giuseppe Caire

"Geometric Modelling with Discrete Differential Geometry" by Prof. Dr. Alexander Bobenko

Summer term 2018

"The mathematics of quantum information" by Prof. Dr. Jens Eisert

"Probabilistic methods in telecommunication" by Prof. Dr. Wolfgang König

Winter term 2017/2018

 "Introduction to single-trial EEG analysis" by Prof. Dr. Benjamin Blankertz

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

Summer term 2017

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

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

"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


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