Name: JLab AI Town Hall
Start: 2021-07-26T12:00:00-04:00
End: 2021-07-26T19:45:00-04:00
Location: No location set

JLab AI Town Hall

Monday, July 26, 2021 - 12:00 PM

Monday, July 26, 2021
2:00 PM Welcome - David Lawrence (Jefferson Lab)
Welcome
- David Lawrence (Jefferson Lab)
2:00 PM - 2:10 PM
2:10 PM Deeply Learning deep inelastic scattering kinematics - Markus Diefenthaler (Jefferson Lab)
Deeply Learning deep inelastic scattering kinematics
- Markus Diefenthaler (Jefferson Lab)
2:10 PM - 2:15 PM
2:15 PM INTRA-ASTRA - Markus Diefenthaler (Jefferson Lab)
INTRA-ASTRA
- Markus Diefenthaler (Jefferson Lab)
2:15 PM - 2:20 PM
2:20 PM InclAI - Gabriel Niculescu (JMU)
InclAI
- Gabriel Niculescu (JMU)
2:20 PM - 2:25 PM
2:25 PM AI/ML for TRD - Yulia Furletova (JLAB)
AI/ML for TRD
- Yulia Furletova (JLAB)
2:25 PM - 2:30 PM
2:30 PM AI/ML on FPGA - Sergey Furletov (Jefferson Lab)
AI/ML on FPGA
- Sergey Furletov (Jefferson Lab)
2:30 PM - 2:35 PM
2:35 PM HYDRA - Thomas Britton (JLab)
HYDRA
- Thomas Britton (JLab)
2:35 PM - 2:40 PM
2:40 PM Exp. Controls using AI - Torri Jeske (JLAB)
Exp. Controls using AI
- Torri Jeske (JLAB)
2:40 PM - 2:45 PM
2:45 PM Track ID for Clusters - Gagik Gavalian (Jefferson Lab)
Track ID for Clusters
- Gagik Gavalian (Jefferson Lab)
2:45 PM - 2:50 PM
2:50 PM De-noisingDrift Chamber using Autoencoders - Gagik Gavalian (Jefferson Lab)
De-noisingDrift Chamber using Autoencoders
- Gagik Gavalian (Jefferson Lab)
2:50 PM - 2:55 PM
2:55 PM CLAS12 Level-3 trigger - Gagik Gavalian (Jefferson Lab)
CLAS12 Level-3 trigger
- Gagik Gavalian (Jefferson Lab)
2:55 PM - 3:00 PM
3:00 PM AI for reweighting MC di-hadron events for CLAS and CLAS12 - Sebouh Paul (UC Riverside)
AI for reweighting MC di-hadron events for CLAS and CLAS12
- Sebouh Paul (UC Riverside)
3:00 PM - 3:05 PM
3:05 PM Training Classifiers with Autoencoder Event Generators in GlueX - Sean Dobbs (Florida State University)
Training Classifiers with Autoencoder Event Generators in GlueX
- Sean Dobbs (Florida State University)
3:05 PM - 3:10 PM
3:10 PM μ/π/e PID - David Lawrence (Jefferson Lab)
μ/π/e PID
- David Lawrence (Jefferson Lab)
3:10 PM - 3:15 PM
3:15 PM Solving the inverse problem at the event level - Nobuo Sato (Jefferson Lab)
Solving the inverse problem at the event level
- Nobuo Sato (Jefferson Lab)
3:15 PM - 3:20 PM
3:20 PM Physics-Aware Generative Adversarial Networks for Physics Event Generation
Physics-Aware Generative Adversarial Networks for Physics Event Generation
3:20 PM - 3:25 PM

3:25 PM Neural Network Simulation of Detector Efficiency
Neural Network Simulation of Detector Efficiency
3:25 PM - 3:30 PM
3:30 PM Unfolding of the CLAS detector with OmniFold - Luca Marsicano (INFN Genova)
Unfolding of the CLAS detector with OmniFold
- Luca Marsicano (INFN Genova)
3:30 PM - 3:35 PM
3:35 PM ML to access multi-d xsection in hadron physics - Marco Battaglieri (JLab/INFNGE)
ML to access multi-d xsection in hadron physics
- Marco Battaglieri (JLab/INFNGE)
3:35 PM - 3:40 PM
3:40 PM Validation of 2 pion cross section extraction - Evgeny Isupov (Moscow State U.)
Validation of 2 pion cross section extraction
- Evgeny Isupov (Moscow State U.)
3:40 PM - 3:45 PM
3:45 PM GAN uncertainty quantification in CLAS 2pi channel data analysis
GAN uncertainty quantification in CLAS 2pi channel data analysis
3:45 PM - 3:50 PM
3:50 PM Validation of event generators with extraction of physics observables - Astrid Hiller Blin (Jefferson Lab)
Validation of event generators with extraction of physics observables
- Astrid Hiller Blin (Jefferson Lab)
3:50 PM - 3:55 PM
3:55 PM t-SNE analysis
t-SNE analysis
3:55 PM - 4:00 PM
4:00 PM Application of t-SNE analysis to 2 pion data analysis - Marco Battaglieri (JLab/INFNGE)
Application of t-SNE analysis to 2 pion data analysis
- Marco Battaglieri (JLab/INFNGE)
4:00 PM - 4:05 PM
4:05 PM SAUCER: a VAE-based generative algorithm
SAUCER: a VAE-based generative algorithm
4:05 PM - 4:10 PM
4:10 PM Detector Design Optimization for ECCE - Fanelli Cristiano (MIT)
Detector Design Optimization for ECCE
- Fanelli Cristiano (MIT)
4:10 PM - 4:15 PM
4:15 PM AIPWA - William Phelps (Christopher Newport University/Jefferson Lab)
AIPWA
- William Phelps (Christopher Newport University/Jefferson Lab)
4:15 PM - 4:20 PM
4:20 PM Anomalous Resonance Identification with Autoencoders - William Phelps (Christopher Newport University/Jefferson Lab)
Anomalous Resonance Identification with Autoencoders
- William Phelps (Christopher Newport University/Jefferson Lab)
4:20 PM - 4:25 PM
4:25 PM Modeling Magnetic Fields with deep neural networks - William Phelps (Christopher Newport University/Jefferson Lab)
Modeling Magnetic Fields with deep neural networks
- William Phelps (Christopher Newport University/Jefferson Lab)
4:25 PM - 4:30 PM
4:30 PM Modern extraction of Compton Form Factors using global fits with artificial neural networks. - Zulkaida Akbar (University of Virginia)
Modern extraction of Compton Form Factors using global fits with artificial neural networks.
- Zulkaida Akbar (University of Virginia)
4:30 PM - 4:35 PM
4:35 PM Further constraints with simultaneous fitting in DVCS - Liliet Calero Diaz
Further constraints with simultaneous fitting in DVCS
- Liliet Calero Diaz
4:35 PM - 4:40 PM
4:40 PM Improvement in polarization measurements using artificial intelligence
Improvement in polarization measurements using artificial intelligence
4:40 PM - 4:45 PM

4:45 PM Machine Learning for FCAL-II Shower Classification
Machine Learning for FCAL-II Shower Classification
4:45 PM - 4:50 PM
4:50 PM A.I.-supported Research and Development of Novel Composite Aerogel Materials for Nuclear Physics Detectors - Fanelli Cristiano (MIT)
A.I.-supported Research and Development of Novel Composite Aerogel Materials for Nuclear Physics Detectors
- Fanelli Cristiano (MIT)
4:50 PM - 4:55 PM

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