Name: CS & Physics Meet-Up by Lamarr & B3D
Start: 2023-11-29T09:30:00+01:00
End: 2023-12-01T15:30:00+01:00
Location: Lamarr Institut, TU Dortmund University

Monday 27 November 2023
Tuesday 28 November 2023
Wednesday 29 November 2023
09:30
09:30 - 10:30
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

09:30 Arrival & Coffee
10:30
10:30 - 11:05
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

10:30 Opening - Wolfgang Rhode (Physics Department, TU Dortmund University) Jens Buss (Lamarr Institute, TU Dortmund University)

10:35 Introduction: Lamarr - Stefan Michaelis (Managing Director, Lamarr Institut, TU Dortmund University)

10:50 Introduction: B3D - Frank Bertoldi (Argelander-Institute for Astronomy, University of Bonn)
11:05 coffee refil
coffee refil
11:05 - 11:10
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
11:10 Physics
Physics
11:10 - 12:30
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

11:10 Introduction: Radio Astronomy - Ancla Müller (AIRUB)

11:35 Introduction: Exp. Particle Physics - Johannes Albrecht (Physics Department & Lamarr Institute, TU Dortmund University)

12:00 Introduction: Astroparticle Physics - Dominik Elsaesser Tim Ruhe (TU Dortmund University)
12:30 Lunch
Lunch
12:30 - 13:30
Room: Joseph-von-Fraunhofer Strasse 25, Floor U, Room U09 - Lamarr Cantina
13:30 Machine Learning and Computer Science
Machine Learning and Computer Science
13:30 - 15:30
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

13:30 Hybrid Machine Learning for Scientific Discovery - Ramses J. Sanchez (Lamarr Institute, University of Bonn)

13:50 Introduction to Trustworthy-AI - Maram Akila (Lamarr Institut, Fraunhofer IAIS)

14:10 Data Bases and Data Storage - Jens Teubner (DBIS & Lamarr Institut, Fak. Informatik, TU Dortmund)

14:45 Introduction: Human-Centred Systems - Natalia Andrienko (Lamarr Institute, Fraunhofer IAIS)
15:30 Coffee break
Coffee break
15:30 - 16:00
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
16:00 Prof. Dr. Reinhard Genzel Galaxien & Schwarze Löcher (eine vierzigjährige Reise)
Prof. Dr. Reinhard Genzel Galaxien & Schwarze Löcher (eine vierzigjährige Reise)
16:00 - 17:30
Room: Auditorium Maximum; Vogelpothsweg 87, 44227 Dortmund
Contributions

16:00 Vortrag: Galaxien & Schwarze Löcher (eine vierzigjährige Reise) - Reinhard Genzel (Max-Planck-Institut für extraterrestrische Physik (MPE) )

16:45 Q&A: Galaxien & Schwarze Löcher (eine vierzigjährige Reise)
16:01 Networking
Networking
16:01 - 17:31
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space

19:00 Conference Dinner
Conference Dinner
19:00 - 21:30
Thursday 30 November 2023
09:30 Overview Talks
Overview Talks
09:30 - 09:50
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

09:30 Introduction to Embodied AI - Julian Eßer (Lamarr Institute, Fraunhofer IML)
09:50 ML Methods and Application Examples (in Physics)
ML Methods and Application Examples (in Physics)
09:50 - 10:40
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

09:50 ML Appl. Example Neutrino + Neutrino Map of the Universe - Mirco Huennefeld

10:00 Class-conditional label noise - Mirko Bunse (Lamarr Dortmund)

10:10 Deep Learning for real-time classification of astronomical radio signals - Andrei Kazansrev (Max Planck Institute for Radio Astronomy)

10:20 Innovative approaches for galaxy cluster mass determination via deep learning - Kaustuv Basu (Uni Bonn)

10:30 Representing and rendering large noisy radio data cubes - André Hinkenjann (Hochschule Bonn-Rhein-Sieg, Institut für Visual Computing)
10:40

10:40 - 11:40
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
11:40 Open space for discussion groups
Open space for discussion groups
11:40 - 12:40
Contributions

11:40 TBA

11:40 Deep Learning for real-time classification of astronomical radio signals - Andrei Kazantsev ( Max-Planck-Institut für Radioastronomie)
12:40 Lunch
Lunch
12:40 - 14:00
Room: Mensa
14:00 Inverse Problems
Inverse Problems
14:00 - 14:50
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

14:00 Quantification - Mirko Bunse (Lamarr Institut)

14:10 Solving Inverse Problems with Deep Learning - Sebastian Konietzny (Informatik LS8, TU Dortmund University) Tobias Uelwer (Informatik LS8, TU Dortmund University)

14:20 Unfolding in Astroparticle Physics - Leonora Kardum Wolfgang Rhode

14:30 Atmospheric Noise Removal for FYST: Current Methods and ML Prospects - Ankur Dev (Uni Bonn)

14:40 Leveraging Machine Learning for Next-Generation Radio Pulsar Searches - Vishnu Balakrishnan (MPIfR)
14:50
14:50 - 15:10
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

14:50 Introduction: Resource-aware ML - Sebastian Buschjäger (Lamarr Institute, TU Dortmund University)
15:10

15:10 - 16:10
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
16:10
16:10 - 17:10
Contributions

16:10 TBA

16:10 Leveraging Machine Learning for Next-Generation Radio Pulsar Searches: Challenges and Opportunities - Vishnu Balakrishnan (Max Planck Institute for Radio Astronomy, Bonn)
17:10

17:10 - 18:10
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space

19:00 Christmas Market
Christmas Market
19:00 - 21:00
Friday 1 December 2023
09:30 Problems and data sources
Problems and data sources
09:30 - 10:30
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space
Contributions

09:30 Particle Shower Simulation - Dominik Baack (TU Dortmund)

09:40 Radio Data Simulations - Felix Geyer Kevin Schmidt

09:50 Potential ML applications to accelarate ISM simulation - Tim-Eric Rathjen

10:00 ML Solutions for Time Series Problems - Amal Sadallah (Lamarr Institute Dortmund)

10:10 Time Series Data - Machine Learning For Observatory Sites - Ralf Timmermann (Uni Bonn)

10:20 P-adic numbers - Thomas Liebig (Lamarrr Institut, TU Dortmund)
10:30

10:30 - 11:30
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space

11:30

11:30 - 12:30

12:30

12:30 - 13:15
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space

13:15 Lunch
Lunch
13:15 - 14:15
Room: Joseph-von-Fraunhofer Strasse 25, Floor 3, Room 302 - Lamarr Co-Working Space