“Graph Neural Network-Based Track Finding in the LHCb Vertex Detector”, Journal of Instrumentation, 2024, paper
International Conferences and Workshops
“High-Throughout GNN Track Reconstruction at LHCb”, 8th International Connecting the Dots (CTD) Workshop, Toulouse, France, 2023, paper, presentation
“High-Throughput GNN-Based Track Reconstruction on GPUs at LHCb”, 42nd International Conference on High Energy Physics (ICHEP), Prague, Czech Republic, 2024, paper, presentation
“High-Throughput GNN-Based Track Reconstruction on GPUs at LHCb”, Machine Learning for Jet Physics (ML4Jets) 2024 Workshop, Paris, France, 2024, paper, presentation
“Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb”, 23rd IEEE International New Circuits and Systems (NEWCAS) Conference, Paris, France, 2025, paper, poster, seminar
“Learning Traffic Anomalies from Generative Models on Real-Time Observations”, 10th IEEE International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2025, paper, presentation, poster
National Conferences
“Graph Neural Network for Track Finding at LHCb”, Journées de Rencontres Jeunes Chercheurs (JRJC) 2023, Saint-Jean-de-Monts, France, 2023, paper, presentation
SMARTHEP Network Whitepapers
“Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider Experiments ALICE, ATLAS, CMS and LHCb”, under journal review, 2025, paper
Hybrid Architectures Whitepaper, under internal review.
