Name: Big Data Science in Astroparticle Research - HAP Workshop
Start: 2018-02-19T13:00:00+01:00
End: 2018-02-21T15:00:00+01:00
Location: RWTH Aachen University SuperC

Monday, February 19
- Arrive
- Deep Learning
  - 1
    
    Welcome and organizational matters
    
    Speaker: Prof. Martin Erdmann (RWTH Aachen University)
    
    Slides
  - 2
    
    Tutorial Deep Networks: Introduction, Fully-Connected, Convolutional Architectures
    
    Speaker: Mr Yannik Rath (RWTH Aachen University)
    
    Slides
- Coffee
- Deep Learning
  - 3
    
    Tutorial on Adversarial Generative Networks, Wasserstein distance
    
    Speaker: Mr Jonas Glombitza (RWTH Aachen University)
    
    Slides
Tuesday, February 20
- Deep Learning
  - 4
    
    Welcome Message of the Vice-Rector for Research and Structure
    
    Speaker: Prof. Rudolf Mathar (RWTH Aachen University)
  - 5
    
    DeepJet: jet classification with the CMS experiment
    
    Speaker: Dr Markus Stoye (CERN)
    
    Slides
  - 6
    
    Application of machine learning methods to H.E.S.S. data analysis
    
    Speaker: Dr Idan Shilon (ECAP University Erlangen)
    
    Slides
  - 7
    
    Event Reconstruction in IceCube using Deep Learning Techniques
    
    Speaker: Mr Mirco Huennefeld (TU Dortmund)
    
    Slides
- Coffee
- Deep Learning
  - 8
    
    Efficient Similarity Search and Analysis
    
    Speaker: Dr Christian Beecks
    
    Slides
  - 9
    
    Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks
    
    Speaker: Mr Lukas Geiger (RWTH Aachen University)
    
    Slides
  - 10
    
    HexagDLy - Hexagonal Convolutions with PyTorch
    
    Speaker: Mr Tim Lukas Holch (Humboldt University Berlin)
    
    Slides
  - 11
    
    Deep machine learning implementation in FPGA
    
    Speakers: Dr Michele Caselle (KIT), Mr Weijia WANG
    
    Slides
- Lunch
- Deep Learning
  - 12
    
    Making Deep Neural Networks Transparent
    
    Speaker: Dr Wojciech Samek (Fraunhofer Heinrich Hertz Institute Berlin)
    
    Slides
  - 13
    
    Denoising radio traces with autoencoder on Tunka-Rex experiment
    
    Speaker: Dr Dmitriy Kostunin (IKP KIT Karlsruhe)
    
    Slides
  - 14
    
    Deep Neural Network searching for an air shower radio signal
    
    Speaker: Radomir Smida (Karlsruhe Institute of Technology (KIT))
    
    Slides
- Coffee
- Deep Learning: 1-2 Transparencies
  - 15
    
    Investigating deep convolutional autoencoders to mitigate systematic differences between data and simulations
    
    Speaker: Dr Stefan Geißelsöder (ECAP, FAU Erlangen)
    
    Slides
  - 16
    
    Using Deep Learning to optimise a SUSY search at CMS
    
    Speaker: Dr Adam Elwood (DESY Hamburg)
    
    Slides
- Open Data, Data Centers, Computing Technology
  - 17
    
    Introduction to Open Data
    
    Speaker: Prof. Uli Katz (ECAP / Univ. Erlangen)
    
    Slides
  - 18
    
    FACT Open Data Release
    
    Speaker: Mr Maximilian Nöthe (Herr)
    
    Slides
- Conference Dinner
Wednesday, February 21
- Open Data, Data Centers, Computing Technology
  - 19
    
    Research Data Alliance
    
    Speaker: Dr Peter Wittenburg (Max Planck Institute for Psycholinguistics Nijmegen, NL)
    
    Slides
  - 20
    
    Big scientific data and Data Science
    
    Speaker: Prof. Tony Hey (Rutherford Appleton Laboratory, UK)
    
    Slides
- Coffee
- Open Data, Data Centers, Computing Technology
  - 21
    
    Progress on analysis and data centre for astroparticle physics
    
    Speaker: Dr Andreas Haungs (KIT)
    
    Slides
  - 22
    
    Concrete goals for (Astro-)particle progress related to Big Data Science
    
    Speaker: Prof. Alexander Schmidt (RWTH Aachen University)
    
    Slides
- Discussion on perspectives and common efforts
  - 23
    
    Discussion
    
    Speakers: Dr Andreas Haungs (KIT), Prof. Martin Erdmann (RWTH Aachen University)
    
    Slides
- Depart