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    Workshop: AI4EIC-Exp - Experimental Applications of Artificial Intelligence for the Electron Ion Collider

    7โ€“10 Sept 2021
    Online
    US/Eastern timezone

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    Contribution List

    67 out of 67 displayed
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    1. 28. Introduction: AI4EIC structure
      Cristiano Fanelli (MIT)
      07/09/2021, 09:05
    2. 29. EIC Overview and Schedule
      Rolf Ent (Jefferson Lab)
      07/09/2021, 09:20
    3. 30. Accelerator and Detector Design: Introduction
      Friederike Bock (ORNL), Malachi Schram (JLab)
      07/09/2021, 10:00
    4. 2. Accelerator Overview
      Todd Satogata (JLAB)
      07/09/2021, 10:05
    5. 50. Detector Overview
      Douglas Higinbotham (Jefferson Lab)
      07/09/2021, 10:35
    6. 4. AI/ML supported design
      Cristiano Fanelli (MIT)
      07/09/2021, 11:25
    7. 51. AI-optimized design for ECCE
      William Phelps (Christopher Newport University/Jefferson Lab)
      07/09/2021, 11:55
    8. 52. AI for accelerator design
      Yue Hao (Brookhaven National Laboratory)
      07/09/2021, 12:15
    9. 19. Discussion
      07/09/2021, 12:35
    10. 31. Simulations: Introduction
      07/09/2021, 14:00
    11. 5. Event Generation and Simulation Needs for the EIC
      Dr Markus Diefenthaler (Jefferson Lab)
      07/09/2021, 14:05
    12. 40. Bottlenecks and limitations in classical simulations: where can AI help?
      Sylvester Joosten (Argonne National Laboratory)
      07/09/2021, 14:30
    13. 41. What AI offers for EIC simulations
      Michelle Kuchera (Davidson College)
      07/09/2021, 14:55
    14. 6. Generative AI applications for simulations in colliders
      Benjamin Nachman
      07/09/2021, 15:40
    15. 42. Machine Learning for the LHCb simulations
      Lucio Anderlini (INFN)
      07/09/2021, 16:10
    16. 21. Discussion
      07/09/2021, 16:35
    17. 32. Reconstruction and Analysis: Introduction
      Liliana Teodorescu (Brunel U. ), Thomas Ullrich (BNL), Yulia Furletova (Jefferson Lab)
      08/09/2021, 10:00
    18. 7. ML for tracking in HEP
      Louis-Guillaume Gagdon (UCB)
      08/09/2021, 10:05
    19. 53. AI for tracking at JLab
      Gagik Gavalian (JLab / ODU)
      08/09/2021, 10:29
    20. 54. AI for calorimetry
      Dmitry Romanov (Jefferson lab)
      08/09/2021, 10:46
    21. 55. AI for calorimetry - hackathon
      William Phelps (Christopher Newport University/Jefferson Lab)
      08/09/2021, 11:03
    22. 8. ML for data analysis in HEP
      Sergey Gleyzer (UA)
      08/09/2021, 11:35
    23. 56. AI for heavy-flavor and jet tagging at EIC
      Stephen Sekula (Southern Methodist University)
      08/09/2021, 12:05
    24. 22. Discussion
      08/09/2021, 12:35
    25. 33. Reconstruction and Analysis: Introduction
      Liliana Teodorescu (Brunel U. ), Thomas Ullrich (BNL), Yulia Furletova (Jefferson Lab)
      08/09/2021, 14:00
    26. 9. AI for Particle Identification at the CPP experiment
      Andrew Schick (UMA)
      08/09/2021, 14:05
    27. 37. AI for Transition Radiation Detectors
      Yulia Furletova (Jefferson Lab)
      08/09/2021, 14:23
    28. 38. AI for Cherenkov Detectors
      Cristiano Fanelli (MIT)
      08/09/2021, 14:41
    29. 39. Deeply Learning Deep Inelastic Scattering Kinematics
      Abdullah Farhat
      08/09/2021, 14:59
    30. 10. Machine Learning for jet reconstruction
      Benjamin Nachman
      08/09/2021, 15:35
    31. 62. Machine Learning for PID in ALICE
      Lukasz Graczykowski (WUT)
      08/09/2021, 16:05
    32. 23. Discussion
      08/09/2021, 16:35
    33. 34. Accelerator and Detector Control: Introduction
      Benjamin Nachman, Thomas Britton (JLab)
      09/09/2021, 10:00
    34. 11. Anomaly detection/Online data quality monitoring
      Kishansingh Rajput (JLab)
      09/09/2021, 10:05
    35. 46. Online low-level calibration and operational conditions
      Torri Jeske (JLab)
      09/09/2021, 10:27
    36. 47. Online high-level calibration and analysis
      Williams Mike (MIT)
      09/09/2021, 10:49
    37. 12. Trigger rate control and allocation
      David Miller (University of Chicago)
      09/09/2021, 11:30
    38. 48. Machine Learning in trigger deployment
      Nhan Tran (Fermilab)
      09/09/2021, 11:52
    39. 49. Accelerator control
      Aurelee Edelen (SLAC)
      09/09/2021, 12:14
    40. 24. Discussion
      09/09/2021, 12:36
    41. 35. Detector Readout: Introduction
      Jin Huang (Brookhaven National Lab), Philip Harris (MIT)
      09/09/2021, 14:00
    42. 57. Overview of AI in HEP readout
      Dylan Rankin (MIT), Dylan Rankin (MIT)
      09/09/2021, 14:05
    43. 58. EIC readout overview
      Fernando Barbosa (JLab)
      09/09/2021, 14:40
    44. 59. Real-time AI tracking and tagging
      Dantong Yu (New Jersey Institute of Technology), Dantong Yu (Computational Science Center)
      09/09/2021, 15:30
    45. 60. Real-time data compression with Bicephalous Convolutional Auto-Encoder
      Dr Yi Huang (BNL/CSI)
      09/09/2021, 15:53
    46. 61. Event tagging and triggering on FPGA
      Dr Sergey Furletov (JLab)
      09/09/2021, 16:16
    47. 25. Discussion
      09/09/2021, 16:40
    48. 36. Computing Frontiers: Introduction
      Gabriel Perdue (Fermilab), Olivier Pfister (U. Va.), Wouter Deconinck (UManitoba)
      10/09/2021, 10:00
    49. 15. Quantum Simulations
      Henry Lamm (FNAL)
      10/09/2021, 10:05
    50. 43. AI/ML for complex systems
      Malachi Schram
      10/09/2021, 10:27
    51. 44. AI on a chip
      Farah Fahim (FNAL)
      10/09/2021, 10:49
    52. 45. Heterogeneous computing
      Travis Humble (ORNL)
      10/09/2021, 11:11
    53. 16. Computing Frontiers - Panel Discussion
      10/09/2021, 12:00
    54. 26. Discussion
      10/09/2021, 12:45
    55. 17. Discussion AI4EIC (future, hackathon, AOB)
      Cristiano Fanelli (MIT)
      10/09/2021, 14:00
    56. 67. Computing Frontiers - summary
      Gabriel Perdue (Fermilab)
      10/09/2021, 15:30
    57. 65. Reconstruction & Analysis - summary
      Thomas Ullrich (BNL)
      10/09/2021, 15:40
    58. 66. Accelerator and Detector Control - summary
      Thomas Britton (JLab)
      10/09/2021, 15:50
    59. 64. Detector Readout - summary
      Philip Harris (MIT)
      10/09/2021, 16:00
    60. 18. Accelerator and Detector Design - summary
      Malachi Schram
      10/09/2021, 16:10
    61. 63. Simulations - summary
      Dr Corey Adams (ANL), Makoto Asai (SLAC)
      10/09/2021, 16:20
    62. 27. Summary & Adjourn
      10/09/2021, 16:30
    63. 3. Break
    64. 1. Detector Design 1
    65. 13. Detector Readout 1
    66. 14. Detector Readout 2
    67. 20. Welcome and Introduction