Computational Science and Engineering at TUM

Very happy to welcome our new CSE students! :)

About two weeks ago we celebrated the graduates of 2018. Congratulations! Special thanks to the invited speakers, student speakers and all who attended.

Some pictures of this year's joint summer trip of the TUM graduate programmes CSE and COME to lake Schliersee

This interactive tutorial has been created by students of CSE in the last ten months.

run.coplon.de

One of the future challenges of CSE:

The race to exascale Tomorrow's supercomputers will be incredibly fast -- but will our software be able to keep up?

US company new “TUM Partner of Excellence”
Google to invest in science "made in Germany"

Google investiert in Wissenschaft „Made in Germany”

Yesterday we celebrated this year's CSE graduates. Special thanks go to our student speakers giving a great speech and everybody else who participated!

We are happy to announce the release of v1.0.0 of preCICE. The development of tools like preCICE is a possible field of work for students of CSE.

preCICE (Precise Code Interaction Coupling Environment) is a coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations. preCICE is developed at the Chair of Scientific Computing at the Technical University of Munich and at the Institute for Parallel and Distributed Systems at the University of Stuttgart.

https://github.com/precice/precice/releases/tag/v1.0.0

precice/precice precice - preCICE - Precise Code Interaction Coupling Environment

Ravi Kishore is a CSE '12 and BGCE '13 graduate currently doing his PhD in Mechanical Engineering and Computation at the Massachusetts Institute of Technology.

He works on developing a mechanistic model to simulate flow boiling heat transfer, which allows one to design compact thermal systems that achieve very high local heat transfer rates. Current understanding of flow boiling is limited to empirical correlations and cannot be applied consistently to perform detailed simulations. His work focuses on a new bottom-up validation approach that can represent the underlying physics faithfully and ensures wide applicability. Ravi collaborates with an interdisciplinary team of researchers including experimentalists, physicists, engineers, applied mathematicians and computer scientists.

The picture shows the flow boiling experimental loop at MIT, built to provide high resolution information to support the mathematical models.

Adam Kosiorek, CSE '14 graduate, is currently doing his PhD at the University of Oxford.
His research focuses on attention mechanisms and external memory in recurrent neural networks for reinforcement learning. Humans often tackle problems by dividing them into subproblems, and then solving them one at a time. Attention mechanisms allow to address parts of a problem at a time, and external memory can further facilitate this task.
Adam's long interest in neural networks increased during his Master's thesis, where he used Bayesian Recurrent Neural Networks to model time series of joint angles describing the movement of a human arm in time and space.

We are proud to announce that our colleagues and former CSE students Paul Cristian Sarbu and Ionut Farcas have won this year's "Best Poster Award" at the SIAM CSE conference in Atlanta!

Their work introduces a new multilevel stochastic collocation method using dimension reduction, comparing different adaptive sparse grid strategies applied to dampened oscillators and fluid-structure interaction scenarios. Congratulations!