Dipartimento di Ingegneria Elettronica

Alessandro Cristini

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  

Team

The team is composed by:

• Mario Salerno
• Gianluca Susi
• Alessandro Cristini

 The ELTLAB team interacts with the DSPVLSI group of the same university.