The collaborative research center SFB876 brings together data mining and
embedded systems. On the one hand, embedded systems can be further improved
using machine learning. On the other hand, data mining algorithms can
be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions
of ubiquitous systems in computing power, memory, and energy demand new
algorithms for known learning tasks. These resource bounded learning algorithms
may also be applied on extremely large data bases on servers.
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Wolfgang Rhode receives Honorary Professorship at Ruhr University Bochum
CRC 876 Board member, Head of the Research Training Group, and Project Leader in Subproject C3, Prof. Dr. Dr. Wolfgang Rhode, will receive an honorary professorship from the Ruhr University Bochum (RuB) on May 30, 2022. The open event as part of the Physics Colloquium, organized by the Faculty of Physics and Astronomy at RuB, will take place in a hybrid format starting at 12 pm (CEST). The awarding of the honorary professorship will be accompanied by a laudation by Prof. Dr. Reinhard Schlickeiser (RuB). Registration is not required.
The event at a glance:
When: May 30, 2022, 12 pm (CEST) c.t.
Where: Ruhr University Bochum, Faculty of Physics and Astronomy
Universitätsstraße 150
Lecture hall H-NB
Online: Zoom
Prof. Dr. Dr. Wolfgang Rhode holds the professorship for Experimental Physics - Astroparticle Physics at TU Dortmund University. He is involved in the astroparticle experiments AMANDA, IceCube, MAGIC, FACT and CTA and does research in radio astronomy. His focus is on data analysis and the development of Monte Carlo methods as developed in CRC 876. Building on a long-standing collaboration with Katharina Morik on Machine Learning in astroparticle physics within CRC 876, both became co-founders of the DPG working group "Physics, Modern Information Technology and Artificial Intelligence" in 2017. Wolfgang Rhode is deputy speaker of the Collaborative Research Center 1491 - Cosmic Interacting Matters at the Ruhr University Bochum.
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Project C3 is proud to announce their "Workshop on Machine Learning for Astroparticle Physics and Astronomy" (ml.astro), co-located with INFORMATIK 2022.
The workshop will be held on September 26th 2022 in Hamburg, Germany and include invited as well as contributed talks. Contributions should be submitted as full papers of 6 to 10 pages until April 30th 2022 and may include, without being limited to, the following topics:
Machine learning applications in astroparticle physics and astronomy; Unfolding / deconvolution / quantification; Neural networks and graph neural networks (GNNs); Generative adversarial networks (GANs); Ensemble Methods; Unsupervised learning; Unsupervised domain adaptation; Active class selection; Imbalanced learning; Learning with domain knowledge; Particle reconstruction, tracking, and classification; Monte Carlo simulations Further information on the timeline and the submission of contributions is provided via the workshop website: https://sfb876.tu-dortmund.de/ml.astro/
