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

7–10 Sep 2021
Online
US/Eastern timezone

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Contribution List

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