Principal Investigator: Federico Giove Selected researcher: dott.ssa Maria Guidi The research project involves the development and application of innovative functional magnetic resonance imaging (fMRI) techniques, aimed both at increasing spatial specificity and at characterizing and reducing biases caused by physiological noise. The vascular signal will be described in terms of dynamics and frequency content using time […]
Principal Investigator: Federico Giove Resting-state functional Magnetic Resonance Imaging (fMRI) is increasingly used to investigate brain networks in a variety of basic neuroscience and clinical studies. However, physiological signals of non-neural origin affect the reliability of brain networks derived from fMRI measurements. Physiological confounds include components related directly or indirectly to vasculature. Significant efforts have […]
DigiTransition – Transizione Digitale M1C1 PNRR NextGenerationEU Principal Investigator: Fabrizio Coccetti (CREF) This project aims to raise the level of cyber security of the Centro Ricerche Enrico Fermi by migrating its virtual servers and all its strategic documentary services at the newly established Polo Strategico Nazionale (PSN) for Public Administration. Project start and end date: […]
Comp – SECOONDO Computational Second-order Nano-oxides Nonlinear Disordered Photonics Principal Investigator : Romolo Savo (CREF) Code: MSCA_000007 The project aims at using light and photonic materials to implement an analogue deep-learning neural network architecture. Photonic disorder and second-order optical nonlinearity will be the key features to developing a photonic platform with enhanced computing capability and […]
REal-time motion CorrEctioN in magneTic REsonance Coordination: Sapienza Università di Roma CREF referrer: Federico Giove Partner: CNR, INFN, Università Federico II Project Code: P202294JHK The RECENTRE project proposes a novel high-speed, real-time prospective motion correction technique for MR spectroscopy of the human brain. The technique is based on modern Deep Learning methods, which provide a […]
CODE – Coupling Opinion Dynamics with Epidemics Coordinator Stefano Guarino CNR CREF Referrer: Fabio Saracco Partner Marco Brambilla, Politecnico di Milano Project Code: P2022AKRZ9 The CODE (Coupling Opinion Dynamics with Epidemics) project aims to investigate the coupling between virtual interactions, leading to opinion formation, and physical interactions, which cause the spreading of epidemics. We will […]
Triple T – Tackling a just Twin Transition: a Complexity Approach to the Geography of Capabilities, Labour Markets and Inequalities Coordinator: Angelica Sbardella (CREF) Partner Scuola Superiore di Studi Avanzati Sant’Anna di Pisa Project Code: P2022B5S5J Triple T presents an ambitious interdisciplinary research agenda that plans to identify the capabilities and the policy strategies needed […]
MULTIPASS – MULTIPle trAcker for Secondary particleS monitoring Codice Progetto: P2022FZAC3 Coordinatore: INFN Milano Referente CREF: Michela Marafini Ricercatore CREF: Marco Garbini This project aims to develop a new technology for detecting secondary radiation of different types (prompt photons, protons, and neutrons) in the framework of particle therapy. This multipurpose tracker is a compact detector […]
re-SPECT: Towards a new family of nuclear imaging gamma detectors Principal Investigator: Michela Marafini (CREF) Ricercatore CREF : Marco Garbini Partner: Sapienza Università di Roma, Università di Trento Code: 2022Z72Y3K The reSPECT project paves the way for a novel family of gamma imaging detectors based on plastic scintillators, integrated with 3D-printed collimators and an integrated […]
PHERMIAC: Photonic High-Energy cosmic-ray Monitoring via Ising machines and Advanced Combinatorial optimization Principal Investigator: Sapienza Università di Roma Referente CREF: Fabrizio Coccetti Code: 2022597MBS Code: 2022597MBS The project aims to create an innovative device for applying ultrafast and energy-efficient photonic computation to high-energy physics. It will implement a photonic Ising machine for ultrafast parallel processing […]
