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Prof. Jakob Rehof (TU Dortmund)23/03/2026, 11:00
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Nilusha Aliman23/03/2026, 11:10
First part of the area updates with pitches of 5min per area presenting updates from the areas and a summary of current research topics.
Involved Areas:- Resource-Aware ML
- Embodied AI
- Planning & Logistics
- Industry & Production
- Life Sciences & Health
The remaining areas will be presented on day 2.
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Dr Jens Buß (Lamarr Institute, TU Dortmund University)23/03/2026, 12:00
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Nilusha Aliman23/03/2026, 12:30
Introduction of the session offered during the first day (2 min/Session)
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Dr Jens Buß (Lamarr Institute, TU Dortmund University), Nilusha Aliman23/03/2026, 12:50
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Arnulf Jentzen, Benno Kuckuck, Dr Ramsés Sánchez (Lamarr institute, University of Bonn)23/03/2026, 14:30
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Christian Pionzewski (Fraunhofer IML), Christina Braun23/03/2026, 14:30
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Tim Ruhe (TU Dortmund)23/03/2026, 14:30
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Raphael Fischer (TU Dortmund University), Sebastian Buschjäger (Lamarr Institute for ML and AI, TU Dortmund)23/03/2026, 14:30
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Christoph Pott, Julian Eßer, Moritz Roidl23/03/2026, 14:30
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Katharina Beckh, Lovis Heindrich23/03/2026, 16:00
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Ann-Kathrin Oster (Lamarr Institute at TU Dortmund University), Arnulf Jentzen, Johannes Albrecht (TU Dortmund & LAMARR), Zorah Lähner (University of Bonn)23/03/2026, 16:00
Acquiring third-party funding is an imperative for any researchers keen on pursuing a scientific career. The session is aimed at (early career) Lamarr members who are planning to apply for third-party funds/grants in the foreseeable future. The goal is to provide them with a framework in which they can learn from experienced Lamarr members, get tips, and ask questions—at the same time, the...
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Stefan Michaelis (Lamarr Institute - TU Do)23/03/2026, 16:00
This session will explore several powerful open-source CLI coding assistants in a hands-on 90-minute workshop. Learn or share your experience on how to integrate AI-assisted development into your research workflow while maintaining full control through open-source tools and custom LLM endpoints. Experiment with different agents, compare their strengths, and start using them immediately in your...
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23/03/2026, 19:00
On Monday evening at 7:00 pm, we’ll head together to Mit Schmackes for our Social Dinner. Expect hearty Ruhrpott-style comfort food, bold flavors, and a relaxed, down-to-earth atmosphere where everyone feels welcome. It’s a great place for conversation and exchange in a cozy, informal setting.
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Nilusha Aliman24/03/2026, 10:00
Second part of the area updates with pitches of 5min per area presenting updates from the areas and a summary of current research topics.
Involved Areas:- Hybrid ML
- Trustworthy AI
- Physics
- Natural Language Processing
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Dr Jens Buß (Lamarr Institute, TU Dortmund University)24/03/2026, 10:25
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Eva Schmidt, Prof. Jakob Rehof (TU Dortmund), Sara Mann24/03/2026, 11:00
What is trustworthiness in Lamarr's scientific areas, and why does it matter?
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Hermann Blum24/03/2026, 11:00
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24/03/2026, 11:00
This session creates a space for exchange and collaborative discussion on how research ideas can generate value beyond academia. Together, we will explore pathways for transforming research findings into inventions and identify opportunities for knowledge and technology transfer — areas that are becoming increasingly important in today’s scientific, societal, and economic landscape.
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We will... -
Dr Jens Buß (Lamarr Institute, TU Dortmund University)24/03/2026, 14:00
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Florian Mai (University of Bonn)24/03/2026, 14:00
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Christian Glaser (TU Dortmund University)24/03/2026, 14:05
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Nicolai Weitkemper (TU Dortmund University)24/03/2026, 14:20
Please refer to this contribution for details.
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René Reimann, Yannik Schaper (TU Dortmund, Physik, Astroparticle Physics)24/03/2026, 14:25
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Dominik Elsässer24/03/2026, 14:30
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Luca Di Bella24/03/2026, 14:45
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Tom Groß (TU Dortmund University)24/03/2026, 14:50
This pitch outlines the efforts to reconstruct the missing information in radio interferometer measurements of protoplanetary disks using the deep-learning framework
Go to contribution pageradionets.
For that we are currently generating training data using hydrodynamics models and MC simulations to enhance the scientific interpretation of the reconstructions. -
Christian Glaser (TU Dortmund University)24/03/2026, 14:55
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Lukas Liland24/03/2026, 15:10
This presentation outlines the plan for making a 2D flux map of the neutrino sky, via energy and direction reconstructions with transformer neural networks and flux estimations with unfolding.
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Lene van Rootselaar24/03/2026, 15:15
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24/03/2026, 15:20
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