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researcher

S. Qasim

15 papers hereh-index 13690 citations120 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author5
  • last author1

Across the 10 of 15 papers where every author was matched, so the position is known.

fields
  • physics.ins-det10
  • cs.DC1
  • cs.LG1
  • hep-ex1
  • physics.comp-ph1
  • physics.data-an1
same name
  • S. Qasim — 2 papers, h 2
  • S. Qasim — 1 paper, h 3
  • S. Qasim — 1 paper
  • S. Qasim — 1 paper
  • S. Qasim — 1 paper
  • S. Qasim — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedLearning representations of irregular particle-detector geometry with distance-weighted graph networks

137 citations · 211 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

physics.ins-det2022

Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20−300 GeV/c

B. Acar, G. Adamov, C. Adloff +454

The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimete…

physics.ins-det2022

End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

Shah Rukh Qasim, Nadezda Chernyavskaya, Jan Kieseler +4

We present an end-to-end reconstruction algorithm to build particle candidates from detector hits in next-generation granular calorimeters similar to that foreseen for the high-lum…

physics.ins-det2022★ 8 cited

GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter

Saptaparna Bhattacharya, Nadezda Chernyavskaya, Saranya Ghosh +11

We present the current stage of research progress towards a one-pass, completely Machine Learning (ML) based imaging calorimeter reconstruction. The model used is based on Graph Ne…

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