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Machine Learning for the LHC Distributed Data Placement and Track Finding

Dec 7 – 9, 2015
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Europe/Moscow timezone

Contribution List

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  1. 1. NRC KI Welcome
    Vasily Velikhov (National Research Centre Kurchatov Institute (RU))
    12/7/15, 10:00 AM
  2. 2. Introduction and Workshop Primary Goals
    Alexei Klimentov (Brookhaven National Laboratory (US)), Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Paolo Calafiura (Lawrence Berkeley National Lab. (US))
    12/7/15, 10:10 AM
  3. 4. Machine Learning hands-on
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Dr Rogozhnikov Alexey (School of Data Analysis)
    12/7/15, 10:20 AM
  4. 14. Topological Trigger Optimization
    Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
    12/7/15, 1:30 PM
  5. 15. Flavour Tagging Optimization
    Denis Derkach (Yandex School of Data Analysis (RU)), Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
    12/7/15, 2:10 PM
  6. 5. Data Placement Policy Evolution in ATLAS
    Alexei Klimentov (Brookhaven National Laboratory (US)), Mario Lassnig (CERN)
    12/7/15, 3:30 PM
  7. 6. Data Placement and Data Handling in LHCb
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Mikhail Hushchyn (Yandex School of Data Analysis (RU))
    12/7/15, 4:10 PM
  8. 12. Data Placement simulation and Distributed Computing Simulation - round table discussion
    12/7/15, 5:10 PM
  9. 0. Welcome frоm LIT JINR Director
    Vladimir Korenkov (Joint Inst. for Nuclear Research (RU))
    12/8/15, 10:00 AM
  10. 3. Data Science at LHC Workshop Highlights
    David Rousseau (LAL-Orsay, FR), Dirk Duellmann (CERN)
    12/8/15, 10:10 AM
  11. 16. Track Finding (COMET & SHIP)
    Mikhail Hushchyn (Yandex School of Data Analysis (RU))
    12/8/15, 11:40 AM
  12. 19. LHCbEventIndex - applications and possibilities
    Nikita Kazeev (Yandex School of Data Analysis (RU))
    12/8/15, 2:00 PM
  13. 20. ML for anomaly detection in HEP detector (LHCb)
    Nikita Kazeev (Yandex School of Data Analysis (RU))
    12/8/15, 2:30 PM
  14. 17. Data-Intensive Applications on HPC Using Hadoop, Spark and RADICAL-Cybertools
    Prof. Shantenu Jha (Rutgers University)
    12/8/15, 2:50 PM
  15. 21. ML and Distributed Computing Modeling activities at LIT JINR
    Prof. Ososkov Gennady (JINR)
    12/8/15, 3:50 PM
  16. 13. round table discussion
    12/8/15, 4:40 PM
  17. 11. ATLAS Distributed Data Management System - Rucio
  18. 18. LHCb EventIndex - applications & possibilities
    Nikita Kazeev (Yandex School of Data Analysis (RU))
  19. 8. ML @LHCb
  20. 9. ML@ATLAS
  21. 10. Tier-1 storage simulation for CMS
  22. 7. Tracking algorithms (COMET and SHIP)