Personal information

CMS, Physics, Machine Learning, Higgs
Italy, Portugal, United Kingdom

Activities

Employment (2)

University of Padua: Padova, Veneto, IT

2019-11 to present | Researcher (Physics, CMS)
Employment
Source: Self-asserted source
Giles Strong

Laboratório de Instrumentação e Física Experimental de Partículas: Lisboa, Lisboa, PT

2016-03 to 2019-11 | Researcher (CMS)
Employment
Source: Self-asserted source
Giles Strong

Education and qualifications (4)

Universidade de Lisboa Instituto Superior Técnico: Lisboa, Lisboa, PT

2016-11 to present | PhD Physics (Physics)
Education
Source: Self-asserted source
Giles Strong

University of Glasgow: Glasgow, Glasgow, GB

2013-10 to 2015-12 | MSc Physics and Astronomy (Physics)
Education
Source: Self-asserted source
Giles Strong

Durham University: Durham, Durham, GB

2009-10 to 2013-06 | MPhys Theoretical Physics (Physics)
Education
Source: Self-asserted source
Giles Strong

Greshams School: Holt, Norfolk, GB

2000 to 2009
Education
Source: Self-asserted source
Giles Strong

Professional activities (2)

CERN: Geneva, CH

2016 to present (CMS)
Membership
Source: Self-asserted source
Giles Strong

CERN: Geneva, CH

2013 to 2016 (ATLAS)
Membership
Source: Self-asserted source
Giles Strong

Funding (1)

AMVA4NewPhysics

2016-03 to 2019-03 | Grant
European Commission (Brussels, BE)
Part of GRANT_NUMBER:

675440

Source: Self-asserted source
Giles Strong

Works (27)

TomOpt: Differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography

Machine Learning: Science and Technology
2024-05-31 | Journal article
Contributors: Giles Chatham Strong; Maxime Lagrange; Aitor Orio; Anna Bordignon; Florian Bury; Tommaso Dorigo; Andrea Giammanco; Mariam Heikal; Jan Kieseler; Max Lamparth et al.
Source: check_circle
Crossref

Calorimetric Measurement of Multi-TeV Muons via Deep Regression

The European Physical Journal C
2022-01 | Journal article
Contributors: Jan Kieseler; Giles C. Strong; Filippo Chiandotto; Tommaso Dorigo; Lukas Layer
Source: check_circle
Crossref

On the impact of selected modern deep-learning techniques to the performance and celerity of classification models in an experimental high-energy physics use case

Machine Learning: Science and Technology
2020-09-19 | Journal article
Contributors: Giles Chatham Strong
Source: check_circle
Crossref

Muon Energy Measurement from Radiative Losses in a Calorimeter for a Collider Detector

2020-08-25 | Preprint
Source: Self-asserted source
Giles Strong

Beyond the Standard Model in Vector Boson Scattering Signatures

2020-05-20 | Preprint
Source: Self-asserted source
Giles Strong

HiggsML Lumin

Zenodo
2020-04-16 | Software
Source: Self-asserted source
Giles Strong

PyTorch Tutorial

Zenodo
2020-02-26 | Software
Source: Self-asserted source
Giles Strong

Higgs physics at the HL-LHC and HE-LHC

CERN Yellow Reports: Monographs
2019-12-03 | Journal article
Source: Self-asserted source
Giles Strong

Collection of notes from ATLAS and CMS

CERN Yellow Reports: Monographs
2019-12-02 | Journal article
Source: Self-asserted source
Giles Strong

LIP Data Science School in (astro)particle physics and cosmology, Braga 2019: Keras Tutorial

2019-03-21 | Software
Source: Self-asserted source
Giles Strong
grade
Preferred source (of 2)‎

LUMIN

2019-03-21 | Software
Source: Self-asserted source
Giles Strong
grade
Preferred source (of 2)‎

A MIP Timing Detector for the CMS Phase-2 Upgrade

2019-03-15 | Report
URI:

https://cds.cern.ch/record/2667167

Source: Self-asserted source
Giles Strong

CMS HL-LHC PROJECTION FOR NON-RESONANT DI-HIGGS PRODUCTION IN THE bb𝝉𝝉 DECAY CHANNEL

Posters@LHCC
2019-02-27 | Conference poster
Source: Self-asserted source
Giles Strong

Higgs Physics at the HL-LHC and HE-LHC

CERN
2019-01-31 | Journal article
Source: Self-asserted source
Giles Strong
grade
Preferred source (of 2)‎

Prospects for HH measurements at the HL-LHC

CMS
2018-12-18 | Report
Source: Self-asserted source
Giles Strong

Project repository for IST QCD course, 2018 - Static-Quark Potential Calculations

2018-12-04 | Software
Source: Self-asserted source
Giles Strong
grade
Preferred source (of 2)‎

A HL-LHC projection for the expected discovery significance of non-resonant Higgs-boson pair-production in the di-bottom-quark di-tau-lepton decay channel using the CMS detector with its proposed upgrades

CMS
2018-11-23 | Report
Source: Self-asserted source
Giles Strong

Final Activity Report: Classification and Regression Tools in Higgs Measurements

AMVA4NewPhysics
2018-10-31 | Report
Source: Self-asserted source
Giles Strong

RECENT DEVELOPMENTS IN DEEP-LEARNING APPLIED TO OPEN HEP DATA

2018-09-24 | Conference poster
Source: Self-asserted source
Giles Strong

QCHS-2018 - Recent developments in deep-learning applied to open HEP data

2018-08-04 | Software
Source: Self-asserted source
Giles Strong
grade
Preferred source (of 2)‎

Recent developments in deep-learning applied to open HEP data

XIIIth Quark Confinement and the Hadron Spectrum
2018-08-02 | Conference paper
Source: Self-asserted source
Giles Strong

Hyper-Parameter Optimisation Part I

2018-07-18 | Software
Source: Self-asserted source
Giles Strong
grade
Preferred source (of 2)‎

Machine Learning in High Energy Physics Community White Paper

2018-07-08 | Preprint
Source: Self-asserted source
Giles Strong

Multivariate analysis methods for Higgs boson searches at the Compact Muon Solenoid

AMVA4NewPhysics, CMS
2017-10-30 | Report
Source: Self-asserted source
Giles Strong

Multivariate Analysis Methods for Higgs Boson Searches At The Large Hadron Collider

AMVA4NewPhysics
2017-02-27 | Report
Source: Self-asserted source
Giles Strong

Gluon splitting to b-quark pairs in proton-proton collisions at √s=8 TeV with ATLAS

2015-09-05 | Dissertation or Thesis
Source: Self-asserted source
Giles Strong

Top-tagger optimisation and comparison

2013-04-20 | Dissertation or Thesis
Source: Self-asserted source
Giles Strong