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, September 7, 2021 (8:00 AM) to Friday, September 10, 2021 (7:00 PM)

Monday, September 6, 2021
Tuesday, September 7, 2021
9:00 AM Welcome and Introduction
Welcome and Introduction
9:00 AM - 9:45 AM
Contributions

9:05 AM Introduction: AI4EIC structure - Cristiano Fanelli (MIT)

9:20 AM EIC Overview and Schedule - Rolf Ent (Jefferson Lab)
9:45 AM break
break
9:45 AM - 10:00 AM
10:00 AM Day 1 morning
Day 1 morning
10:00 AM - 1:00 PM
Contributions

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

10:05 AM Accelerator Overview - Todd Satogata (JLAB)

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

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

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

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

12:35 PM Discussion
1:00 PM Lunch break
Lunch break
1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 5:00 PM
Contributions

2:00 PM Simulations: Introduction

2:05 PM Event Generation and Simulation Needs for the EIC - Markus Diefenthaler (Jefferson Lab)

2:30 PM Bottlenecks and limitations in classical simulations: where can AI help? - Sylvester Joosten (Argonne National Laboratory)

2:55 PM What AI offers for EIC simulations - Michelle Kuchera (Davidson College)

3:40 PM Generative AI applications for simulations in colliders - Benjamin Nachman

4:10 PM Machine Learning for the LHCb simulations - Lucio Anderlini (INFN)

4:35 PM Discussion
Wednesday, September 8, 2021
10:00 AM
10:00 AM - 1:00 PM
Contributions

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

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

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

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

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

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

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

12:35 PM Discussion
1:00 PM Lunch break
Lunch break
1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 5:00 PM
Contributions

2:00 PM Reconstruction and Analysis: Introduction - Liliana Teodorescu (Brunel U. ) Thomas Ullrich (BNL) Yulia Furletova (Jefferson Lab)

2:05 PM AI for Particle Identification at the CPP experiment - Andrew Schick (UMA)

2:23 PM AI for Transition Radiation Detectors - Yulia Furletova (Jefferson Lab)

2:41 PM AI for Cherenkov Detectors - Cristiano Fanelli (MIT)

2:59 PM Deeply Learning Deep Inelastic Scattering Kinematics - Abdullah Farhat

3:35 PM Machine Learning for jet reconstruction - Benjamin Nachman

4:05 PM Machine Learning for PID in ALICE - Lukasz Graczykowski (WUT)

4:35 PM Discussion
Thursday, September 9, 2021
10:00 AM
10:00 AM - 1:00 PM
Contributions

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

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

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

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

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

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

12:14 PM Accelerator control - Aurelee Edelen (SLAC)

12:36 PM Discussion
1:00 PM Lunch break
Lunch break
1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 5:00 PM
Contributions

2:00 PM Detector Readout: Introduction - Jin Huang (Brookhaven National Lab) Philip Harris (MIT)

2:05 PM Overview of AI in HEP readout - Dylan Rankin (MIT) Dylan Rankin (MIT)

2:40 PM EIC readout overview - Fernando Barbosa (JLab)

3:30 PM Real-time AI tracking and tagging - Dantong Yu (New Jersey Institute of Technology) Dantong Yu (Computational Science Center)

3:53 PM Real-time data compression with Bicephalous Convolutional Auto-Encoder - Yi Huang (BNL/CSI)

4:16 PM Event tagging and triggering on FPGA - Sergey Furletov (JLab)

4:40 PM Discussion
Friday, September 10, 2021
10:00 AM
10:00 AM - 1:00 PM
Contributions

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

10:05 AM Quantum Simulations - Henry Lamm (FNAL)

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

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

11:11 AM Heterogeneous computing - Travis Humble (ORNL)

12:00 PM Computing Frontiers - Panel Discussion

12:45 PM Discussion
1:00 PM Lunch break
Lunch break
1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 5:00 PM
Contributions

2:00 PM Discussion AI4EIC (future, hackathon, AOB) - Cristiano Fanelli (MIT)

3:30 PM Computing Frontiers - summary - Gabriel Perdue (Fermilab)

3:40 PM Reconstruction & Analysis - summary - Thomas Ullrich (BNL)

3:50 PM Accelerator and Detector Control - summary - Thomas Britton (JLab)

4:00 PM Detector Readout - summary - Philip Harris (MIT)

4:10 PM Accelerator and Detector Design - summary - Malachi Schram

4:20 PM Simulations - summary - Corey Adams (ANL) Makoto Asai (SLAC)

4:30 PM Summary & Adjourn

Choose timezone