Name: Workshop: AI4EIC-Exp - Experimental Applications of Artificial Intelligence for the Electron Ion Collider
Start: 2021-09-07T08:00:00-04:00
End: 2021-09-10T19:00:00-04:00
Location: Online

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

from Tuesday, 7 September 2021 (08:00) to Friday, 10 September 2021 (19:00)

Monday, 6 September 2021
Tuesday, 7 September 2021
09:00 Welcome and Introduction
Welcome and Introduction
09:00 - 09:45
Contributions

09:05 Introduction: AI4EIC structure - Cristiano Fanelli (MIT)

09:20 EIC Overview and Schedule - Rolf Ent (Jefferson Lab)
09:45 break
break
09:45 - 10:00
10:00 Day 1 morning
Day 1 morning
10:00 - 13:00
Contributions

10:00 Accelerator and Detector Design: Introduction - Friederike Bock (ORNL) Malachi Schram (JLab)

10:05 Accelerator Overview - Todd Satogata (JLAB)

10:35 Detector Overview - Douglas Higinbotham (Jefferson Lab)

11:25 AI/ML supported design - Cristiano Fanelli (MIT)

11:55 AI-optimized design for ECCE - William Phelps (Christopher Newport University/Jefferson Lab)

12:15 AI for accelerator design - Yue Hao (Brookhaven National Laboratory)

12:35 Discussion
13:00 Lunch break
Lunch break
13:00 - 14:00
14:00
14:00 - 17:00
Contributions

14:00 Simulations: Introduction

14:05 Event Generation and Simulation Needs for the EIC - Markus Diefenthaler (Jefferson Lab)

14:30 Bottlenecks and limitations in classical simulations: where can AI help? - Sylvester Joosten (Argonne National Laboratory)

14:55 What AI offers for EIC simulations - Michelle Kuchera (Davidson College)

15:40 Generative AI applications for simulations in colliders - Benjamin Nachman

16:10 Machine Learning for the LHCb simulations - Lucio Anderlini (INFN)

16:35 Discussion
Wednesday, 8 September 2021
10:00
10:00 - 13:00
Contributions

10:00 Reconstruction and Analysis: Introduction - Liliana Teodorescu (Brunel U. ) Thomas Ullrich (BNL) Yulia Furletova (Jefferson Lab)

10:05 ML for tracking in HEP - Louis-Guillaume Gagdon (UCB)

10:29 AI for tracking at JLab - Gagik Gavalian (JLab / ODU)

10:46 AI for calorimetry - Dmitry Romanov (Jefferson lab)

11:03 AI for calorimetry - hackathon - William Phelps (Christopher Newport University/Jefferson Lab)

11:35 ML for data analysis in HEP - Sergey Gleyzer (UA)

12:05 AI for heavy-flavor and jet tagging at EIC - Stephen Sekula (Southern Methodist University)

12:35 Discussion
13:00 Lunch break
Lunch break
13:00 - 14:00
14:00
14:00 - 17:00
Contributions

14:00 Reconstruction and Analysis: Introduction - Liliana Teodorescu (Brunel U. ) Thomas Ullrich (BNL) Yulia Furletova (Jefferson Lab)

14:05 AI for Particle Identification at the CPP experiment - Andrew Schick (UMA)

14:23 AI for Transition Radiation Detectors - Yulia Furletova (Jefferson Lab)

14:41 AI for Cherenkov Detectors - Cristiano Fanelli (MIT)

14:59 Deeply Learning Deep Inelastic Scattering Kinematics - Abdullah Farhat

15:35 Machine Learning for jet reconstruction - Benjamin Nachman

16:05 Machine Learning for PID in ALICE - Lukasz Graczykowski (WUT)

16:35 Discussion
Thursday, 9 September 2021
10:00
10:00 - 13:00
Contributions

10:00 Accelerator and Detector Control: Introduction - Benjamin Nachman Thomas Britton (JLab)

10:05 Anomaly detection/Online data quality monitoring - Kishansingh Rajput (JLab)

10:27 Online low-level calibration and operational conditions - Torri Jeske (JLab)

10:49 Online high-level calibration and analysis - Williams Mike (MIT)

11:30 Trigger rate control and allocation - David Miller (University of Chicago)

11:52 Machine Learning in trigger deployment - Nhan Tran (Fermilab)

12:14 Accelerator control - Aurelee Edelen (SLAC)

12:36 Discussion
13:00 Lunch break
Lunch break
13:00 - 14:00
14:00
14:00 - 17:00
Contributions

14:00 Detector Readout: Introduction - Jin Huang (Brookhaven National Lab) Philip Harris (MIT)

14:05 Overview of AI in HEP readout - Dylan Rankin (MIT) Dylan Rankin (MIT)

14:40 EIC readout overview - Fernando Barbosa (JLab)

15:30 Real-time AI tracking and tagging - Dantong Yu (New Jersey Institute of Technology) Dantong Yu (Computational Science Center)

15:53 Real-time data compression with Bicephalous Convolutional Auto-Encoder - Yi Huang (BNL/CSI)

16:16 Event tagging and triggering on FPGA - Sergey Furletov (JLab)

16:40 Discussion
Friday, 10 September 2021
10:00
10:00 - 13:00
Contributions

10:00 Computing Frontiers: Introduction - Gabriel Perdue (Fermilab) Olivier Pfister (U. Va.) Wouter Deconinck (UManitoba)

10:05 Quantum Simulations - Henry Lamm (FNAL)

10:27 AI/ML for complex systems - Malachi Schram

10:49 AI on a chip - Farah Fahim (FNAL)

11:11 Heterogeneous computing - Travis Humble (ORNL)

12:00 Computing Frontiers - Panel Discussion

12:45 Discussion
13:00 Lunch break
Lunch break
13:00 - 14:00
14:00
14:00 - 17:00
Contributions

14:00 Discussion AI4EIC (future, hackathon, AOB) - Cristiano Fanelli (MIT)

15:30 Computing Frontiers - summary - Gabriel Perdue (Fermilab)

15:40 Reconstruction & Analysis - summary - Thomas Ullrich (BNL)

15:50 Accelerator and Detector Control - summary - Thomas Britton (JLab)

16:00 Detector Readout - summary - Philip Harris (MIT)

16:10 Accelerator and Detector Design - summary - Malachi Schram

16:20 Simulations - summary - Corey Adams (ANL) Makoto Asai (SLAC)

16:30 Summary & Adjourn

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