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09:00
Introduction
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Markus Diefenthaler
(Jefferson Lab)
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09:10
AI-Based Multi-FPGA Data Reduction for DCR Noise Filtering and Bandwidth Control in the dRICH DAQ Stream
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Cristian Rossi
(INFN Sezione di Roma)
-
09:20
Discussion
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09:25
CNN-Based and Vision Transformer-Based PID for the ePIC dRICH System
-
Deepak Samuel
(Central University of Karnataka)
-
09:35
Discussion
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09:40
FastML Applications for the EIC
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Ming Liu
(Los Alamos)
-
09:50
Discussion
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09:55
AID(2)E: AI-Assisted Detector Design for the EIC
-
Derek Anderson
(Thomas Jefferson National Accelerator Facility)
-
10:05
Discussion
-
10:10
AI Smart Search
-
Alexandr Prozorov
-
10:20
Exploring Usage of Agents for Data Analysis
-
Henry Klest
(Argonne National Laboratory)
-
11:00
AI for Event Building
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Oliver Partridge
(Tokyo City University)
-
11:10
AI/ML for Jet Energy Reconstruction
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Hemalata Nayak
(William & Mary)
-
11:20
AI/ML for Imaging Cherenkov Reconstruction and Simulation
-
James Giroux
(member@wm.edu;student@wm.edu)
-
11:30
AI/ML-Assisted Optimization of B0 Tracker and Calibration of the Backward EMCAL
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Baptiste Fraisse
(The Catholic University of America)
-
11:40
GNN + Attention-Based Cluster Finding in Live Experiment
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Chi Kin Tam
(Catholic University of America)
-
11:50
AI-Ready Data for BIC
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Maria Zurek
(Argonne National Laboratory)
Zhiwan Xu
(Argonne National Lab)
-
12:00
Deconvolution of Momentum Transfer Distributions Through Deep Learning
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Maci Kesler
(Kent State University)
-
12:10
Hydra
-
Thomas Britton
(JLAB)
-
12:20
FM4NPP
-
Joe Osborn
(Brookhaven National Laboratory)
