Name: IRIS-HEP Fellows Introductory Presentations
Start: 2023-07-12T18:00:00+02:00
End: 2023-07-12T19:00:00+02:00
Location: No location set

- 18:00 → 19:00
  Fellows Projects "Lightning" Talks 1h
  - Refilwe Bua - Novel edge classification architectures for charged particle tracking with graph neural networks 10m
    
    Mentors:
    Kilian Lieret
    Gage DeZoort
    
    Novel edge classification architectures for charged particle tracking_with graph neural networks (1).pdf
    
    Refilwe Bua
  - Chris Sellgren - Improving Performance of Track Reconstruction Algorithms in a Muon Collider Detector 10m
    
    Mentors:
    Simone Pagan Griso
    Sergo Jindariani
    
    Chris Sellgren
    
    Chris_Sellgren_IRIS_HEP_IntroPres.pdf
  - Hubert Pugzlys - Augmenting Line-Segment Tracking with Graph Neural Network 10m
    
    Mentors:
    Philip Chang
    
    Hubert Pugzlys
    
    Hubert-Pugzlys-IRIS-HEP Project.pdf
  - Avi Kaufman - Understanding Data Popularity and Optimizing Access for Analysis 10m
    
    Mentors:
    Vincent Garonne
    
    Avi Kaufman
    
    July 12th presentation .pdf
  - Volodymyr Svintozelskyi - Studies of new trigger lines, dedicated to long-lived particle detection at the LHCb experiment 10m
    
    Mentors:
    Arantza Oyanguren
    Brij Kishor Jashal
    
    Iris introduction 2023.pdf
    
    Volodymyr Svintozelskyi
  - Artem Havryliuk - Using Diffusion Probabilistic Models for Denoising Tracks from AT-TPC Detector 10m
    
    Mentors:
    Michelle Kuchera
    
    Artem Havryliuk
    
    Havryliuk_INTRO.pdf
  - Valerii Kholoimov - Development of simulation workflows for BSM LLPs at LHCb 10m
    
    Mentors:
    Arantza Oyanguren
    Brij Kishor Jashal
    
    IRIS project Kholoimov.pdf
    
    Valerii Kholoimov
  - Maxym Naumchyk - Machine Learning on Network Data for Problem Identification 10m
    
    Mentors:
    Shawn McKee
    Petya Vasileva
    
    Introductory_talks_Maxym_Naumchyk.pdf
    
    Maxym Naumchyk
  - Leonid Didukh - Estimation of the energy cost and efficiency of the HEP data compression ML algorithm (Baler) 10m
    
    Mentors:
    Caterina Doglioni
    Alexander Ekman
    
    Energy cost estimation of data compression software Baler – IrisHEP.pdf
    
    Leonid Didukh