Alessandro Cristini
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Alessandro Cristini – Ph.D. University of Rome "Tor Vergata" Departement of Electronic Engineering Via del Politecnico 1 Building: Ingegneria dell'Informazione Floor: 3rd, Room: B3-13 Phone: 347.0471985 E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. |
BIOGRAPHY
Alessandro Cristini was born in Anagni, Italy, on March 26th, 1984. He received the Master's degree, cum laude, in Electronic Engineering from the University of Rome "Tor Vergata", Italy, 2010. He received his Ph.D. from the Department of Electronic Engineering at the same University, 2016; for his thesis he studied continuous-time spiking neural networks. His research interests include spiking neural networks, learning algorithms, pattern recognition, signal processing, and MATLAB programming.
AWARDS
Best Paper Category, received at the International Conference "ACEEE, ACE 2012" (Amsterdam, NL) for the presented paper "Spiking neural networks as analog dynamical systems: basic paradigm and simple applications" (M. Salerno, G. Susi, A. D’Annessa, A. Cristini, Y. Sanfelice - June 2012).
Best Poster Award, received at the 29th Annual Meeting of Circuit Theory Researchers (Padova University, IT), for the presented poster "Continuous-time Spiking Neural Networks: general paradigm and event-driven simulation". (M. Salerno, G. Susi, A. Cristini, M. Re, G.C. Cardarilli - June 2013).
MEMBERSHIPS
Member of ET - National group of ElecTrical Engineering Researchers
LIST OF PUBLICATIONS
JOURNALS
Path multimodality in a Feedforward SNN module, using LIF with Latency model
Spiking Neural Networks As Continuous-Time Dynamical Systems: Fundamentals, Elementary Structures And Simple Applications
Mario Salerno, Gianluca Susi, Alessandro Cristini, Yari Sanfelice, Andrea D’Annessa
2013 ACEEE Int. J. on Information Technology, Vol. 3, No. 1, March 2013, pp. 80-89. ISSN:2158-0138, DOI:01.IJIT.3.1.1129
AudiNect: An Aid for the Autonomous Navigation of Visually Impaired People, Based On Virtual Interface 
Link
Mario Salerno, Marco Re, Alessandro Cristini, Gianluca Susi, Marco Bertola, Emiliano Daddario, Francesca Capobianco
2013 Int. J. of Human Computer Interaction (IJHCI), Vol. 4, Issue 1, Feb. 2013, pp. 25-33. ISSN:2180-1347.
CONFERENCE PAPERS
Resistive Switching Behaviour In ZnO-rGO composite thin film
A low-cost Indoor and Outdoor terrestrial autonomous navigation model
Gianluca Susi, Alessandro Cristini, Mario Salerno, Emiliano Daddario
2014 IEEE 22nd Telecommunications Forum TELFOR, 25-27 Nov 2014, Belgrade, Serbia, pp. 675-678. ISBN:978-1-4799-6190-0. DOI:10.1109/TELFOR.2014.7034499. IEEE CONFERENCE PUBLICATIONS.
Spiking Neural Networks based on LIF with Latency: Simulation and Synchronization Effects
Gian Carlo Cardarilli, Alessandro Cristini, Luca Di Nunzio, Marco Re, Mario Salerno, Gianluca Susi
2013 IEEE Asilomar Conference on Signals, Systems, and Computers, 3-6 Nov. 2013, Pacific Grove, CA, USA, pp. 1838-1842. ISBN:978-1-4799-2388-5, DOI:10.1109/ACSSC.2013.6810620. IEEE CONFERENCE PUBLICATIONS.
Spiking neural networks as analog dynamical systems: basic paradigm and simple applications
Mario Salerno, Gianluca Susi, Andrea D’Annessa, Alessandro Cristini, Yari Sanfelice
2012 Proc. of the 3rd Int. Conf. on advances in Computer Engineering, 2012, pp. 17-23. Publisher: ACEEE. ISBN:978-90-819067-8-4, DOI:02.ACE.2012.03.10
Accurate latency characterization for very large asynchronous spiking neural networks
Mario Salerno, Gianluca Susi, Alessandro Cristini
2011 Proc. of the 4th Int. Conf. on Bioinformatics Models, Methods and Algorithms, 2011, pp. 116-124. Publisher: SciTePress. ISBN:978-989-8425-36-2. DOI:10.5220/0003134601160124
BOOK CHAPTERS
A Continuous-Time Spiking Neural Network Paradigm
Alessandro Cristini, Mario Salerno, Gianluca Susi
2015 Advances in Neural Networks: Computational and Theoretical Issues, Smart Innovation, Systems and Technologies, Vol. 37, pp. 49-60, 2015. ISBN:978-3-319-18163-9, ISSN:2190-3018, DOI:10.1007/978-3-319-18164-6_6
POSTERS
Spiking neural network-based character recognition exploiting different coding schemes
Event-driven simulation of continuous-time neural networks
Mario Salerno, Gianluca Susi, Alessandro Cristini, Marco Re, Gian Carlo Cardarilli
2014 30th Riunione Annuale dei Ricercatori di Elettrotecnica (ET2014), Sorrento, IT. DOI:10.13140/2.1.4182.3045
Continuous-time Spiking Neural Networks: general paradigm and event-driven simulation
Mario Salerno, Gianluca Susi, Alessandro Cristini, Marco Re, Gian Carlo Cardarilli
2013 29th Riunione Annuale dei Ricercatori di Elettrotecnica (ET2013), Padova, IT. DOI:10.13140/2.1.2144.5443
Gian Carlo Cardarilli, Marco Re, Mario Salerno, Gianluca Susi, Alessandro Cristini, Simone Acciarito, Luca Di Nunzio, Rocco Fazzolari
2016 Technical Report ET2016. DOI:10.13140/RG.2.2.14030.87364
Hardware implementation of a spiking neuron model based on memristor
Simone Acciarito, Gian Carlo Cardarilli, Alessandro Cristini, Luca Di Nunzio, Rocco Fazzolari, Gaurav Mani Khanal, Marco Re, Gianluca Susi
2016 Technical Report GE2016.
A simple approach for different-scale CTNN simulations
Mario Salerno, Gianluca Susi, Alessandro Cristini, Gian Carlo Cardarilli, Marco Re
Continuous-Time Neural Networks: paradigm and applications