IRIS-HEP Fellows Presentations 2022

Wednesday 28 Sept 2022, 10:00 → 13:00 US/Eastern

YouTube: https://youtu.be/01mHSh-gnXs

 

1 Scott Demarest - Enable Dask interopability with xrootd-accessible storage systems

Mentors:
Nick Smith (FNAL)
Jim Pivarski (Princeton)

Scott_Demarest_Final_Fellows_Presentation.pdf

2 Maya Safiya Wallach - Machine Learning Methods for Event Classification in The Active-Target Time Projection Chamber

Mentors:
Dr. Michelle Kuchera (Davidson College)

IRIS-HEP talk Maya Wallach.pdf

3 Kyrylo Meliushko - Implementation of CI/CD Automation and Orchestration in CMS Monitoring Kubernetes Clusters

Mentors:
Brij Kishor Jashal (Valencia U., IFIC and TIFR, Mumbai, DHEP)

KyryloMeliushko-2.pdf

4 Aryan Roy - Accelerating Uproot with AwkwardForth

Mentors:
Jim Pivarski (Princeton)

Aryan-final-presentation.pdf

5 Break

6 Jay Gohil - Features Extension, Inclusion & Rectification for Boost-Histogram

Mentors:
Henry Schreiner (Princeton University)
Hans Dembinski (TU Dortmund)

Jay Gohil - Fellowship Presentation IRIS HEP.pdf

7 Viacheslav Kucherenko - Machine Learning Based Tracking and Trigger

Mentors:
Dantong Yu (New Jersey Institute of Technology)

IRIS_project_presentation_V_Kucherenko.pdf

8 Atell-Yehor Krasnopolski - Jet Reconstruction with Julia

Mentors:
Benedikt Hegner (CERN)
Graeme A Stewart (CERN)

IRIS-HEP-final-presentation-AtellKrasnopolski.pdf

9 Andrii Falko - An RDataFrame implementation for the Analysis Grand Challenge

Mentors:
Enrico Guiraud (CERN)
Oksana Shadura (University of Nebarska-Lincoln)
Alexander Held (University of Wisconsin-Madison)

The RDF tt Andrii Falko.pdf