Our aim at SmartHEP is to train a new generation of Early Stage Researchers (ESRs) to use real-time decision-making effectively leading to data-collection and analysis becoming synonymous.
Our aim at SmartHEP is to train a new generation of Early Stage Researchers (ESRs) to use real-time decision-making effectively leading to data-collection and analysis becoming synonymous.
Focus: Machine learning and Real-Time Analysis for Higgs boson measurements and fleet safety
Focus: Real-time rule induction in fraud detection and HEP
Focus: Real time analysis strategies for reconstruction, exotic physics, and market analysis
Focus: Efficient RTA in ATLAS and finance using multithreading
Focus: RTA on heterogeneous architectures for LHC and self-driving cars
Focus: Optimization of RTA resources for LHCb Lepton Flavour Violation search and manufacturing
Focus: Machine Learning for Real Time Analysis of Lepton Flavour Violation in neutral meson decays and traffic predictions
Focus: Real Time Analysis for global event triggering in LHCb and manufacturing
Focus: Real-time analysis for Dark Photons search in LHCb and smart vehicles
Focus: Real-time calibration of ALICE Time Projection Chamber and ML traffic predictions
Focus: Real-Time Analysis through computer vision on dashcams and triggers in High Energy Physics
Focus: Accelerated anomaly detection
SMARTHEP is a network that connects the fields of High Energy Physics (HEP) and Data Science, especially in relation to the challenges of processing large datasets using real-time analysis.
SMARTHEP is intended as a consortium formed by academic and industrial partners on scientific, technological, and entrepreneurship aspects of both HEP and Data Science.
If you wish to contact us,
please use the details below
Email: smarthep-recruitment@cern.ch
SMARTHEP is funded by the European Union’s Horizon 2020 research and innovation programme, call H2020-MSCA-ITN-2020, under Grant Agreement n. 956086
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