Name: 2nd workshop on Artificial Intelligence for the Electron Ion Collider
Start: 2022-10-10T10:00:00-04:00
End: 2022-10-14T18:00:00-04:00
Location: William & Mary, Raymond A. Mason School of Business, Alan B. Miller Hall

2nd workshop on Artificial Intelligence for the Electron Ion Collider

from Monday, October 10, 2022 (10:00 AM) to Friday, October 14, 2022 (6:00 PM)

Monday, October 10, 2022

10:00 AM

10:00 AM - 10:25 AM
Room: room 1019
10:25 AM
10:25 AM - 11:20 AM
Room: room 1019
Contributions

10:25 AM EIC schedule and overview - Elke-Caroline Aschenauer (BNL) Rolf Ent (Jefferson Lab)
11:20 AM Coffee break
Coffee break
11:20 AM - 11:40 AM
Room: room 1019
11:40 AM
11:40 AM - 12:30 PM
Room: room 1019
Contributions

11:40 AM DOE perspective on opportunities for AI in nuclear physics - Manouchehr Farkhondeh (US Department of Energy, Office of Nuclear Physics)
12:30 PM Lunch (on your own)
Lunch (on your own)
12:30 PM - 1:30 PM
Room: room 1019
1:30 PM
1:30 PM - 2:00 PM
Room: room 1019
Contributions

1:30 PM NSF perspective on opportunities for AI in nuclear physics - Bogdan Mihaila (National Science Foundation)
2:00 PM
2:00 PM - 5:00 PM
Room: room 1019
Contributions

2:00 PM Tutorial on Ax/Botorch: Multi-Objective Optimization - Max Balandat (Meta/AI Facebook )

2:55 PM Adaptive experimentation to assist detector design at EIC: from ECCE to ePIC and beyond - karthik suresh (University of Regina)

3:20 PM AI-driven detector design for the EIC - Benjamin Nachman

4:00 PM ML application for beam optics control in the LHC - Elena Fol (CERN)

4:25 PM AI/ML overview for accelerator design activities - Todd Satogata (Jefferson Lab)
Tuesday, October 11, 2022
10:00 AM
10:00 AM - 1:00 PM
Room: room 1019
Contributions

10:00 AM ML for QCD Analysis - 3D Imaging - simonetta liuti (university of virginia)

10:25 AM Modeling Hadronization Using ML and the Lund String Model - Tony Menzo (U. Cincinnati)

10:50 AM Modeling Hadronization Using ML and the Cluster Model - Siodmok Andzrej (Jagiellonian U.)

11:30 AM A(I)DAPT - Astrid Hiller Blin (Thomas Jefferson National Accelerator Facility)

11:55 AM Femtoscale Imaging of Nuclei using ML and Exascale Platforms - nobuo sato (Jefferson Lab)

12:20 PM Differentiable Simulations - Benjamin Nachman

12:45 PM Discussion
1:00 PM Lunch (on your own)
Lunch (on your own)
1:00 PM - 2:00 PM
Room: room 1019
2:00 PM
2:00 PM - 5:00 PM
Room: room 1019
Contributions

2:00 PM Fast Detector Simulations with Machine Learning - David Shih (Rutgers)

2:25 PM Machine Learning in Spectroscopy and Partial Wave Analysis - William Phelps (Christopher Newport University/Jefferson Lab)

2:50 PM Reconstructing DIS and SIDIS properties - Connor Pecar (Duke University)

3:35 PM overview talk on ML-based unfolding - Anja Butter (Heidelberg U.)

4:00 PM Tutorial on Unfolding - Fernando Torales - Acosta Vinicius Mikuni (Other@lbl.gov;Staff@lbl.gov;Member@lbl.gov)
Wednesday, October 12, 2022
10:00 AM
10:00 AM - 1:00 PM
Room: room 1019
Contributions

10:00 AM Interpretable Networks for Identifying Leptons - Daniel Whiteson (UC Irvine)

10:30 AM Tagging heavy flavor jets @ RHIC - Raghav Kunnawalkam Elayavalli (Vanderbilt University)

11:00 AM Muon Identification with Deep Learning at EIC - William Phelps (Christopher Newport University/Jefferson Lab)

11:28 AM Machine Learning in ACTS - Corentin Allaire (IJCLAB)

11:48 AM ML particle identification with measured shower profiles from calorimetry - Chao Peng (Argonne National Laboratory)

12:06 PM Lambda event tagging at CLAS12 - Matthew McEneaney (Duke)

12:24 PM ML for calorimetry - Nathan Branson (Messiah U.)

12:42 PM Data-driven learning: Flux+Mutability - James Giroux (U. Regina)
1:00 PM Lunch (on your own)
Lunch (on your own)
1:00 PM - 2:00 PM
Room: room 1019
2:00 PM
2:00 PM - 5:00 PM
Room: room 1019
Contributions

2:00 PM Tutorial on MLFlow - Kishansingh Rajput (Jefferson Lab)

3:00 PM Foundation Model Infrastructure - Svitlana Volkova

3:18 PM AI/ML hardware co-design - Frank Liu (ORNL)

3:35 PM Machine Learning with FPGA - Nhan Tran (Fermilab)

3:52 PM AI/Ml with HPC - Joo Balint (ORNL)

4:15 PM Panel Discussion - Jin Huang (Brookhaven National Lab) Mike Williams (MIT) Tia Miceli (Fermilab)
Thursday, October 13, 2022
10:00 AM
10:00 AM - 1:00 PM
Room: room 1019
Contributions

10:00 AM INDRA-ASTRA - Markus Diefenthaler (Jefferson Lab)

10:22 AM Fast ML for FPGA - Sergey Furletov (JLab)

10:44 AM AI for streaming readout: an architectural perspective - Roberto Ammendola (INFN/Roma2)

11:16 AM AI-based data reduction for streaming DAQ - Jin Huang (Brookhaven National Lab)

11:38 AM Streaming Readout for Next Generation Electron Scattering Experiments - Mariangela Bondi (INFN/Catania)

12:00 PM ML for Heavy Flavor Identification - Cameron Dean (MIT)

12:22 PM AI for Experimental Controls - Thomas Britton (JLAB)
1:00 PM Lunch (on your own)
Lunch (on your own)
1:00 PM - 2:00 PM
Room: room 1019
2:00 PM
2:00 PM - 5:00 PM
Room: room 1019
Contributions

2:00 PM Tutorial on Graph Neural Networks - Yihui Ren (BNL)

2:50 PM Hackathon on October 14

3:30 PM Summaries

4:15 PM Future - Cristiano Fanelli (W&M)
Friday, October 14, 2022

9:00 AM

9:00 AM - 5:00 PM
Room: room 1019

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