Lehrstuhl für Computergestützte Modellierung und Simulation
TUM School of Engineering and Design
Technische Universität München

Stefan Kollmannsberger, Davide D'Angella, Moritz Jokeit and Leon Herrmann published a lecture book on Deep Learning in Computational Mechanics at Springer. The book is available via this link: https://www.springer.com/gp/book/9783030765866

 

 

Nina Korshunova, László Kudela and Davide D'Angella win the 1st Prize at the European Venture Program 2021 with DirectFEM


The price was 1 500 euro for the 1st place. 20 startups were chosen to participate from 4 locations. After the first round of 1-minute pitch only four were chosen which then had to pitch 3 minutes. A very competent jury had to make a choice about the winner. It was a very tight race. The finalists were Hiperssys, Ultrasenic, Brainreader and DirectFEM. We are very happy to announce that the 1st price went to the team from DirectFEM, a company which emerged from the Simulation in Applied Mechanics group. We are very proud of you!

For details see: 

https://innovationorigins.com/en/plenty-to-learn-online-about-international-entrepreneurship/

Fiona Collins et al. won the runner up best paper award at the EC3 conference 2021.

The paper titled "Assessing IFC classes with means of geometric deep learning on different graph encodings" was handed in by Fiona C. Collins, Alexander Braun, Martin Ringsquandl, Daniel M. Hall, André Borrmann and will be presented on Tuesday, July 27th as plenary talk on the conference.

Congratulations!

Alex Braun and André Borrmann are the winners of the 2021 Thorpe medal of the EC3 conference 2021.

The Thorpe Medal recognises a paper that contributes to either practical or research aspects of engineering informatics disciplines in the built environment. The practical value of contribution and its impact on engineering informatics practice are key evaluation criteria.

The medal is awarded for the publication 

Braun, A.; Borrmann, A.:
Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning
Automation in Construction 106, pp. 1-13, 2019
DOI: 10.1016/j.autcon.2019.102879

Lisa Hug won the best presentation award at the International Conference on Adaptive Modeling and Simulation with her talk on Efficient Simulation of Crack Propagation in Complex Geometries using a Phase-Field Model and the Finite Cell Method. Congratulations, Lisa. We are proud to have you in our team!

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