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Machine Learning for the LHC Distributed Data Placement and Track Finding

7–9 Dec 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))
    07/12/2015, 10:00
  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))
    07/12/2015, 10:10
  3. 4. Machine Learning hands-on
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Dr Rogozhnikov Alexey (School of Data Analysis)
    07/12/2015, 10:20
  4. 14. Topological Trigger Optimization
    Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
    07/12/2015, 13:30
  5. 15. Flavour Tagging Optimization
    Denis Derkach (Yandex School of Data Analysis (RU)), Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
    07/12/2015, 14:10
  6. 5. Data Placement Policy Evolution in ATLAS
    Alexei Klimentov (Brookhaven National Laboratory (US)), Mario Lassnig (CERN)
    07/12/2015, 15:30
  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))
    07/12/2015, 16:10
  8. 12. Data Placement simulation and Distributed Computing Simulation - round table discussion
    07/12/2015, 17:10
  9. 0. Welcome frоm LIT JINR Director
    Vladimir Korenkov (Joint Inst. for Nuclear Research (RU))
    08/12/2015, 10:00
  10. 3. Data Science at LHC Workshop Highlights
    David Rousseau (LAL-Orsay, FR), Dirk Duellmann (CERN)
    08/12/2015, 10:10
  11. 16. Track Finding (COMET & SHIP)
    Mikhail Hushchyn (Yandex School of Data Analysis (RU))
    08/12/2015, 11:40
  12. 19. LHCbEventIndex - applications and possibilities
    Nikita Kazeev (Yandex School of Data Analysis (RU))
    08/12/2015, 14:00
  13. 20. ML for anomaly detection in HEP detector (LHCb)
    Nikita Kazeev (Yandex School of Data Analysis (RU))
    08/12/2015, 14:30
  14. 17. Data-Intensive Applications on HPC Using Hadoop, Spark and RADICAL-Cybertools
    Prof. Shantenu Jha (Rutgers University)
    08/12/2015, 14:50
  15. 21. ML and Distributed Computing Modeling activities at LIT JINR
    Prof. Ososkov Gennady (JINR)
    08/12/2015, 15:50
  16. 13. round table discussion
    08/12/2015, 16:40
  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)