Adnan Ghribi
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Adnan Ghribi

Accelerator physicist, GANIL (CNRS) · Visiting scientist, CERN

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I work on the physics of particle accelerators and on the AI that helps design and run them. I lead collective-effects studies for the FCC-ee high energy booster, build machine-learning tools for superconducting linacs, and coordinate the TwinRISE project and the ARTIFACT network.

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projects/ publications.bib talks/ github orcid inspire

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Record

Papers and talks over time

One mark per publication (above the axis) and per talk (below), coloured by type. Hover or focus a mark for its title; click to open it. Talks before 2021 come from my slides and have no link.

 
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      Coordination

      Projects and networks I lead

      2027 to 2030Signed

      TwinRISE

      Coordinator

      European reference framework for trusted AI-generated digital twins across research, healthcare and energy infrastructures. Distributed, AI-native digital twin engine.

      Horizon Europedigital twinstrusted AI
      CORDIS →
      2026 to 2030Signed

      iRIS, work package GreenBeam

      Work package leader

      AI methods to cut the energy and resource use of particle accelerators. Surrogate models from operational beam data, embedded in design and optimisation tools, and audits of hidden energy losses. With CERN, GSI, Heriot-Watt and Liverpool.

      Horizon EuropesustainabilityFCC
      CORDIS →Kick-off at FCC Week 2026 →
      ARTIFACT network
      2023 to nowOngoing

      ARTIFACT network

      Co-creator and coordinator

      European network for AI in accelerator technologies, 41 partner institutions in 14 countries, supported by TIARA and NuPECC. Its strategy turns seven axes into funded projects, TwinRISE and iRIS first.

      AI for acceleratorsFAIR dataEurope
      Site →TIARA 2024 talk →
      2022 to nowOngoing

      ARTIFACT-France and MLAcc

      Coordinator

      French branch of ARTIFACT (formerly M4CAST), grown from the GRAAL collaboration, and the CNRS master project MLAcc. Monthly seminars and yearly workshops across most French accelerator labs.

      AI for acceleratorsFranceIN2P3
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      ARTIFACT strategy

      Seven axes, each feeding European projects.

      Frugal and efficient modelling FAIR, AI-ready accelerator data store AI-driven operation Sustainable operation and design Training and knowledge transfer AI policy for accelerators AI science network

      Selected work

      Projects

      FCC-ee high energy booster
      2023 to nowOngoing

      FCC-ee high energy booster

      In charge of collective effects

      Collective effects in the 100 km booster ring of the Future Circular Collider. Impedance model, intrabeam scattering, single- and multi-bunch instabilities, RF budget. Xsuite and PyHEADTAIL on HPC.

      beam dynamicsimpedanceCERN
      FCC Week 2025 talk →IPAC 2026 paper →Wiki →GitLab →xsuite_heb →pyhdt_heb →pycolleff_heb →RF budget →
      LLRF fault diagnosis for SPIRAL2
      2025 to 2026Released

      LLRF fault diagnosis for SPIRAL2

      Machine-learning pipeline that detects, classifies and explains faults in the control of superconducting RF cavities at GANIL.

      anomaly detectionexplainabilityPython
      Site →Code →
      Living review of AI/ML for accelerators
      2025 to nowLive

      Living review of AI/ML for accelerators

      Continuously updated review of machine-learning and AI applications in accelerator science, built from structured data.

      literature reviewautomationHugo
      Site →Code →arXiv →
      ag-* libraries
      2026Released

      ag-* libraries

      Open-source building blocks for LLM applications. PII tokenization, evaluation, runtime guardrails and document extraction. On PyPI.

      PythonLLMPyPI
      Site →ag-pii-vault →ag-evalforge →ag-guardrail →ag-docparse →
      Agora-Conf
      2026Live

      Agora-Conf

      Conference companion built on Indico. Programme, slides and annotations in one place. Used at the AISSAI Accelerator Hackathon 2026.

      web appIndicoORCID login
      App →
      October 2026Delivered

      AISSAI Accelerator Hackathon 2026

      Organiser, mentor and lecturer

      One-week hackathon on AI for particle accelerators in Normandy, 11 to 16 October 2026. 29 participants, three challenges on cases from ESS, STFC, CERN and PALLAS.

      hackathonAISSAIARTIFACT
      Report →Indico →Code →Pages →
      2006 to 2014Completed

      CMB instrumentation

      Superconducting millimetre-wave components, detectors and bolometric interferometry for cosmic microwave background polarisation. QUBIC (detection chain integration), POLARBEAR (detector fabrication, first-light deployment), LiteBIRD, NASA multichroic detectors, ESA CORE+ and PRISM proposals, ESA ITT on detector coupling, CNES R&D.

      cosmologysuperconducting detectorsmm-wavespace missions
      PhD thesis →Papers →
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      All projects →

      Toolbox

      Expertise

      Accelerator physics

      collective effectsimpedanceintrabeam scatteringbooster designsuperconducting RFLLRFcryogenics

      Cosmology and instrumentation

      CMB polarisationbolometric interferometrysuperconducting detectorsmm-wave components

      Machine learning

      anomaly detectionautoencodersexplainabilityBayesian optimisationsurrogate modelsdigital twinsLLM tooling

      Scientific computing

      PythonXsuitePyHEADTAILHPCFAIR dataPyPI packages

      Recent

      Publications

      • 5 years of SPIRAL2 LINAC operation: cryogenic and superconducting RF aspects
        Muhammad Aburas, Pierre-Emmanuel Bernaudin, Marco Di Giacomo, Adnan Ghribi, Charly Lassalle. JACoW SRF2025, MOB06, 2026.
        DOI
      • Development of fault identification pipeline for SPIRAL2 LLRF data
        Charly Lassalle, Marco Di Giacomo, Adnan Ghribi, Patrick Bonnay, Frédéric Bouly. JACoW SRF2025, TUP68, 2026.
        DOI
      • Editorial: Artificial Intelligence for Particle Accelerators
        Adnan Ghribi, Carsten Welsch, Thomas Shea. EPJ Research Infrastructures 10, 16, 2026.
        DOI
      • SPIRAL2 LLRF Fault Diagnosis: Structured Results Data (V7)
        Adnan Ghribi, Charly Lassalle, Alexandre Dalibard Brund, Marco Di Giacomo, Frédéric Bouly. Zenodo, 2026.
        DOI
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      All publications →

      Recent

      Talks

      • AI for particle accelerators introductory lecture
        AISSAI'26 Hackathon on AI for Particle Accelerators, Les Domaines de Gaston, Normandy, Oct 12, 2026
      • AI application for medical accelerators - accelerator side
        Topical course on Medical Accelerators, 15-26 June 2026, Jurmala, Latvia, Jun 25, 2026
      • Booster overview
        FCC Week 2026, University of Helsinki, Jun 11, 2026
      • Welcome and introduction to iRIS
        FCC Week 2026, University of Helsinki, Jun 9, 2026
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      All talks →

       

      © Adnan Ghribi. Lists built from INSPIRE, ORCID, Crossref, DataCite, CERN Indico, theses.fr and GitHub.