Artificial Intelligence for the Electron Ion Collider (AI4EIC) 2025

Session

AI/ML for ePIC and Beyond

28 Oct 2025, 10:00

34. ePIC AI/ML Overview

Dmitrii Kalinkin (Brookhaven National Laboratory)

28/10/2025, 10:00

36. Toward Unified Deep Learning Models for Simulation and PID with Cherenkov Detectors: the hpDIRC case

Cristiano Fanelli (W&M)

28/10/2025, 10:20

37. Tools for Unbinned Unfolding

Ryan Milton (UCR)

28/10/2025, 10:35

39. Multi-FPGA distributed MLP NN model for data reduction in ePIC dRICH readout system

Cristian Rossi (INFN Sezione di Roma)

28/10/2025, 10:50

40. Scalable AI-assisted Workflow Management for EIC Detector Design Across Distributed Heterogeneous Resources with PanDA-iDDS

Wen Guan (BNL)

28/10/2025, 11:20

41. Machine Learning for the pfRICH Particle Identification subsystem

Bishoy Dongwi, Charles-Joseph Naïm (Stonybrook)

28/10/2025, 11:35

We present an overview of the proximity-focusing Ring Imaging Cherenkov (pfRICH) detector developed for the ePIC experiment at the Electron-Ion Collider (EIC). Designed for the backward pseudorapidity region (−3.5 ≲ η ≲ −1.5), the pfRICH enables at least 3σ separation of pions, kaons, and protons up to 7 GeV/c, which is crucial for Semi-Inclusive Deep Inelastic Scattering (SIDIS) studies. In...

42. RAG-inspired Open-source based Q&A system for scholarly articles in EIC

Tapasi Ghosh (Ramaiah University of Applied Sciences)

28/10/2025, 11:50

43. ESI-Fastlight: a Conditional Normalizing Flow for Fast pfRICH Hitmap Generation

Gabor Galgoczi (BNL)

28/10/2025, 12:05

44. ML for the hKLM at the 2nd Detector

Rowan Kelleher (student@umich.edu;member@umich.edu;employee@umich.edu;student@annarbor.umich.edu;member@annarbor.umich.edu;employee@annarbor.umich.edu)

28/10/2025, 12:20

45. SRO AI/ML Models for Meson Structure Function Extraction

Sandeep Shiraskar (Catholic University of America)

28/10/2025, 12:30

46. Discussion

28/10/2025, 12:40

35. Accessing $x$-dependent generalized parton distribution from generative AI

Zhite Yu (Jefferson Lab)

38. Quantum Tomography for Collider Physics: From Data-Driven Foundations to AI-Enhanced Methods

Daniel Tapia Takaki (University of Kansas)