Name: IRIS-HEP Fellows Presentations 2023
Start: 2023-10-18T12:00:00-04:00
End: 2023-10-18T13:40:00-04:00
Location: No location set

- 1
  
  Andrii Falko - An RDataFrame implementation for the new Analysis Grand Challenge version
  
  Mentors:
  Enrico Guiraud (CERN)
  Alexander Held (University of Wisconsin–Madison)
  
  Andrii Falko
  
  The RDF AGC.pdf
- 2
  
  Layan AlSarayra - Adapting a Machine Learning Algorithm for Enhanced Performance in ACTS
  
  Mentors:
  Lauren Tompkins (Stanford University)
  Rocky Bala Garg (Stanford University)
  
  IRIS-HEP Presentation - Layan AlSarayra.pdf
  
  Layan AlSarayra
- 3
  
  Refilwe Bua - Novel edge classification architectures for charged particle tracking with graph neural networks
  
  Mentors:
  Kilian Lieret (Princeton University)
  Gage DeZoort (Princeton University)
  
  Iris-hep presentation.pdf
  
  Iris-hep presentation.pptx
  
  Refilwe Bua
- 4
  
  Oleksii Kiva - Developing an automatic differentiation and initial parameters optimisation pipeline for the particle shower model
  
  Mentors:
  Lukas Heinrich (TUM)
  Michael Kagan (SLAC)
  
  IRIS_O_Kiva_2023.pdf
  
  Oleksii Kiva
- 5
  
  Sambridhi Deo - REANA workflow for Dark Matter Searches
  
  Mentors:
  Lukas Heinrich (Technical University Munich)
  Matthew Feickert (UW-Madison)
  Amy Roberts (CU Denver)
  Giordon Stark (UC Santa Cruz)
  
  reana-final.pdf
  
  REANA Workflow for Dark Matter Searches
  
  Sambridhi Deo