Featured project

Inferring the Structure of Galaxies with Deep Convolutional Neural Networks

The popular and beautiful galaxy images provided from telescopes like the NASA's Hubble Space Telescope or the Sloan Digital Sky Survey, enabled astronomers to a plethora of studies that greatly improved our knowledge of the Universe and its evolution. In particular the structure of the galaxies can be effectively characterized from their surface light profile distribution through a technique called profile fitting, consisting in using analytic function to obtain a set of simple parameters that would ideally allow the reconstruction of the 2D photometrical shape of the galaxy. Having the … [Read More...]

MINES Paris Tech

A PhD in the DAAD Program “Mathematics in Industry and Commerce”

  Agent Based Modeling of Spatially Inhomogeneous Host-Vector Disease Transmission In recent years disease transmission has been studied intensively. In these models, disease transmission … [Read More...]

DYMARA – A dynamic manikin with fiber-based modeling of skeletal muscles

This project aims at the development of a fiber-based modeling approach for the behavior of muscles within the musculoskeletal system. Supported by the German Federal Ministry of Education and … [Read More...]

Flow of Blood: Coupling hyperbolic PDEs with switched DAEs

Modeling the flow of blood in the human circulatory system is a challenging task involving many mathematical aspects. In this joined project of the TU Kaiserslautern and the University of Groningen … [Read More...]

ECMI posts

A PhD in the DAAD Program “Mathematics in Industry and Commerce”

  Agent Based Modeling of Spatially Inhomogeneous Host-Vector Disease Transmission In recent years disease transmission has been studied intensively. In these models, disease transmission represents the contact between host individuals in directly transmitted diseases, or between host and vector individuals in host-vector diseases. A series of different models for vector-bourne diseases such as Dengue fever […]

DYMARA – A dynamic manikin with fiber-based modeling of skeletal muscles

This project aims at the development of a fiber-based modeling approach for the behavior of muscles within the musculoskeletal system. Supported by the German Federal Ministry of Education and Research, three departments of the Fraunhofer ITWM Kaiserslautern, TU Kaiserslautern and FAU Erlangen join forces in this project, along with the industrial partners fleXstructures GmbH and […]

Flow of Blood: Coupling hyperbolic PDEs with switched DAEs

Modeling the flow of blood in the human circulatory system is a challenging task involving many mathematical aspects. In this joined project of the TU Kaiserslautern and the University of Groningen funded by the DFG SPP1962 Priority Program  we study hyperbolic partial differential equations (PDEs) with boundary conditions driven by switched differential algebraic equations (DAEs). The […]

Academia or Industry – A PhD student in between

Academia or industry – many students are facing this question at the end of their studies. My name is Matthias Andres and I am a PhD student of the Technomathematics group at the TU Kaiserslautern. During my studies and several internships I got in touch with applied mathematics in industry projects. When finishing my Master’s […]

Shape Optimization for Energy-efficient High Temperature Processes

The energy transition will only be a success story if the consumption of fossil-fuel can be significantly reduced. In Germany, 40 % of the heat consumption takes place in the industrial sector and thereof 90 % are used for process heat. Since high temperature processes go normally hand in hand with extreme thermal losses, it […]

Four PhD students in mathematics for artificial intelligence

The Department of Mathematical Sciences at Chalmers University of Technology and University of Gothenburg is recruiting four PhD students in mathematics for artificial intelligence. Deadline for applications: May 13, 2018. For more information follow this link.

Frequent edge sets in human connectome graphs

By Mate Fellner One way to examine the connections between the distinct parts of the human brain is the braingraph, or the connectome. The nodes of the connectome are not neurons, but distinct areas of the gray matter, which can be found in any average and healthy human brain, so we can compare whether two […]

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