Dr Luca Citi
Professor
Computer Science and Electronic Engineering
University of Firenze
United Kingdom
Biography
I have a degree in Electronic Engineering with major in Biomedical Engineering from Università di Firenze (Italy). I joined the University of Essex for the first time in 2004 when I spent a few months as a visiting student working on my master's thesis. In 2005, I enrolled in a PhD program at Scuola Superiore Sant'Anna and IMT Lucca (Italy) with a thesis about the decoding of neural signals for the control of robotic arm prostheses. I came back to Essex in 2008 as a post-doc working on the EPSRC BCI-Mouse project. From 2010, I spent three years as post-doc at Harvard Medical School and Massachusetts Institute of Technology working on statistical analysis of point processes (stochastic processes representing discrete events in time) applied to heartbeat series and neural spike trains (see http://users.neurostat.mit.edu/lciti/ ). In Nov 2012, I was apponted Lecturer in Computational Intelligence at the University of Essex.
Research Interest
stochastic models of neural and cardiovascular signals using history-dependent point processes machine learning applied to biomedical signals statistical learning theory big data analytics invasive neural interfaces non-invasive Brain-Computer Interfaces (BCIs) and Event-Related Potentials (ERPs)
Publications
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2017-2019: Luca Citi (Lead Academic), Spyros Samothrakis (Academic Supervisor), Maria Fasli, Ewan Speed, and Audrey Guinchard (Support Academics). InnovateUK, EPSRC, and ESRC funded KTP project "The design and development of a scalable, avatar based, digital healthcare platform, driven by AI and Machine Learning technology" in collaboration with Orbital Media Ltd (approx £200,000)
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2016-2020: Luca Citi (PI), Riccardo Poli (Co-I) and Francisco Sepulveda (Co-I). Horizon 2020 project "DeTOP: Dexterous Transradial Osseointegrated Prosthesis with neural control and sensory feedback" (approx £450,000)
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2016-2019: Luca Citi (PI), Riccardo Poli (Co-I), Caterina Cinel (named PG-RA). MURI ONR-15-FOA-0011 MURI Topic #3 project "Closed-Loop Multisensory Brain-Computer Interface for Enhanced Decision Accuracy" (approx £640,000)