Alessandro Rizzo was born in Catania, Italy, in 1971. He received the Laurea Degree (summa cum laude) in Computer Engineering and the Ph.D. Degree in Electronic and Automation Engineering from the University of Catania, Italy, in 1996, and 2000, respectively. In 1998, he worked as EURATOM research fellow at JET Joint Undertaking, Abingdon, UK, in the field of sensor validation and fault diagnosis for nuclear fusion experiments. In 2000 and 2001 he worked as research consultant to ST Microelectronics, Catania Site, Italy, and as Industry Professor of robotics at the University of Messina, Italy. From 2002 to 2015, he was a tenured Researcher at Politecnico di Bari, Italy, where he conducted and supervised research on modeling and control of nonlinear systems, robotics, complex networks and systems, distributed estimation and control, dynamical systems theory, and has taught several courses in the domain of systems and control theory, and robotics.

In 2015 he joined the Politecnico di Torino, Italy, as a tenured associate professor in the department of control and computer engineering, where he continues to pursue his research and teaching activity. From 2012 to present, he has also been Visiting Professor at the Department of Mechanical and Aerospace Engineering of the New York University Polytechnic School of Engineering, Brooklyn, NY, where he conducts research in collaboration with the Dynamical Systems Lab in the field of biomimetic robotics and complex networks and systems.

Alessandro Rizzo is a Distinguished Lecturer of the IEEE Nuclear and Plasma Science Society.

- P. Phamduy, M. A. Vazquez, C. Kim, V. Mwaffo, A. Rizzo, M. Porfiri, “Design and characterization of a miniature free-swimming robotic fish for animal-robot research”, accepted for publication to International Journal of Intelligent Robotics and Applications
- L. Zino, A. Rizzo, M. Porfiri, “Continuous-time discrete-distribution theory for activity-driven networks”, Physical Review Letters 117, 228302, 2016
- S. Giannini, A. Petitti, D. Di Paola, A. Rizzo, "Asynchronous max-consensus protocol with time delays: convergence results and applications", IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, issue 2, pp. 256-264, February 2016
- A. Rizzo, B. Pedalino, M. Porfiri, "A network model for ebola spreading", Journal of Theoretical Biology, Volume 394, 7 April 2016, pp. 212–222, 2016
- A. Rizzo, M. Porfiri, "Innovation diffusion in time-varying activity driven networks", European Physical Journal B, vol. 89, n. 1, pp.1-8, 2016
- A. Buscarino, L. Fortuna, M. Frasca, A. Rizzo, "Spatial pinning control of Vicsek's agents", Cybernetics and Physics, vol. 4, n. 3, pp. 61-67, 2015
- M. Frasca, L. Gallo, A. Rizzo, L. Fortuna, M. Porfiri, "Dimensionality reduction in epidemic spreading models", Europhysics Letters 111, 68006, 2015
- V. Kopman, J. Laut, F. Acquaviva, A. Rizzo, M. Porfiri, “Dynamic modeling of a robotic fish propelled by a compliant fin”, IEEE Journal of Oceanic Engineering, vol. 40, n. 1, pp. 209-221, 2015
- A. T. Rashid, M. Frasca, A. A. Ali, A. Rizzo, L. Fortuna, “Multi-robot localization and orientation estimation using robotic cluster matching algorithm”, Robotics and Autonomous Systems, Vol. 63, part 1, pp. 108-121, 2015
- D. Di Paola, A. Petitti, A. Rizzo, “Distributed Kalman Filtering in Heterogeneous Sensor Networks”, International Journal of Systems Science, Vol. 46, No. 14, pp. 2572-2583, 2015
- L. A. Grieco, A. Rizzo, S. Colucci, S. Sicari, G. Piro, D. Di Paola, G. Boggia, “IoT-aided robotics applications: technological implications, target domains and open issues”, Computer Communications, Vol. 54, December 1, pp. 32-47, 2014
- A. Buscarino, L. Fortuna, M. Frasca, A. Rizzo, "Local and global epidemic outbreaks in populations moving in inhomogeneous environments", Physical Review E, 90, 042813, 2014
- A. Rizzo, M. Frasca, M. Porfiri, “Effect of individual behavior on epidemic spreading in activity-driven networks”, Physical Review E, 90, 042801, 2014
- G. Dellino, P. Lino, C. Meloni, A. Rizzo, C. Bonomo, L. Fortuna, P. Giannone, S. Graziani, “Simulation-optimisation in modelling ionic polymer-metal composites actuators”, Int. J. of Modelling, Identification, and Control, Inderscience. Vol. 17, No. 1, pp. 8-18, 2012. DOI 10.1504/IJMIC.2012.048635
- A. Rizzo - Editorial: From Complex Systems to Complex Systems Technology and Return: A Tale of an Endless Loop. Editorial to the Special Issue of IEEE Systems Journal on Complex Systems Science and Technology. IEEE Systems Journal, Vol. 6 Issue 3, 2012.
- M. Frasca, A. Buscarino, A. Rizzo, L. Fortuna, “Spatial Pinning Control”. Physical Review Letters, 108, 204102, 2012.
- R. S. Varga, A. Rizzo, “An application of nonnegative matrices to the synchronization of chaotic oscillators”, Linear Algebra and its Applications, Volume 436, Issue 2, 15 January 2012, Pages 265-275, ISSN 0024-3795
- G. Dellino, P. Lino, C. Meloni and A. Rizzo, “Kriging Metamodel Management in the Design Optimization of a CNG injection system”, Mathematics and Computers in Simulation, Elsevier, ISSN 0378-4754, vol. 79, No. 8, p. 2345-2360, April 2009, doi:10.1016/j.matcom.2009.01.013
- M. Frasca, A. Buscarino, A. Rizzo, L. Fortuna, S. Boccaletti, “Synchronization of Moving Chaotic Agents”, Physical Review Letters, 100(4), 044102, doi http://dx.doi.org/10.1103/PhysRevLett.100.044102, 2008.
- A. Buscarino, L. Fortuna, M. Frasca, A. Rizzo, “Effects of Long-Range Connections in Distributed Control of Collective Motion”, International Journal of Bifurcation and Chaos, Vol. 17, No. 7, pp. 2411-2417, 2007.
- P. Lino, B. Maione, A. Rizzo, “Nonlinear Modelling and Control of a Common Rail Injection System for Diesel Engines”, Applied Mathematical Modelling, Vol. 31, Issue 9, September 2007, 1770-1784.
- M. Frasca, A. Buscarino, A. Rizzo, L. Fortuna, S. Boccaletti, “Dynamical Network Model of Infective Mobile Agents”, Physical Review E 74, 036110 (2006).
- P. Andriani, F. Conti, L. Fortuna, M. Frasca, G. Passiante, A. Rizzo, “Innovation Systems by Nonlinear Networks”, Nonlinear Dynamics (2006) 44: 263–268, Springer 2006.
- A. Buscarino, L. Fortuna, M. Frasca, A. Rizzo, “Dynamical Network Interactions in Distributed Control of Robots”, Chaos, Vol. 16 No.1, 015116, 2006.
- L. Bertalot, B. Esposito, Y. Kaschuck, D. Marocco, M. Riva, A. Rizzo, D. Skopintsev, “Fast digitizing techniques applied to scintillation detectors”, Nuclear Physics B - Proceedings Supplements, Volume 150, January 2006, Pages 78-81.
- A. Vicari, G. Currenti; C. Del Negro; L. Fortuna; A. Herault; R. Napoli; A. Rizzo, “Simulations of lava flows at Mt Etna using paradigms of parallel computing”, Nonlinear Phenomena in Complex Systems, Vol. 8, No. 1, pp. 84 – 88, 2005.
- C. Bonomo, L. Fortuna, P. Giannone, S. Graziani, A. Rizzo, “Investigation on Non Linear Phenomena in IPMC Materials”, Nonlinear Phenomena in Complex Systems (ISSN 1561-4085), Vol.8, No. 2, pp. 206 – 209, 2005.
- B. Maione, P. Lino, A. Rizzo, “Neural Network Nonlinear Modeling of a Common Rail Injection System for a CNG Engine”, WSEAS Transactions on Systems, vol. 3, Issue 5, pp. 2282-2287, ISSN 1109-2777, 2004.
- B. Esposito, Y. Kaschuck, A. Rizzo, L. Bertalot, A. Pensa, “Digital Pulse Shape Discrimination in Organic Scintillators for Fusion Applications”, Nuclear Instrumentation and Measurement, Part A, Volume: 518, Issue: 1-2, February 1, 2004, pp. 626-62.
- P. Arena, S. Castorina, M. Frasca, A. Rizzo, “An Integrated Chua’s Cell for the Implementation of a Chua’s Array”, International Journal of Bifurcation and Chaos, Vol. 14, No. 1 (2004) 93-105
- P. Arena, P. Di Giamberardino, L. Fortuna, F. La Gala, S. Monaco, G. Muscato, A. Rizzo, R. Ronchini, “Toward a Mobile Autonomous Robotic System for Mars Exploration”, Planetary and Space Science, Vol.52, pp. 23-30, 2004.
- L. Fortuna, A. Rizzo, M. Sinatra, M.G. Xibilia, “Soft Analyzers for a Sulfur Recovery Unit”, Control Engineering Practice, Special Issue – Award Winning Applications IFAC 2002 World Congress, Vol. 11, No. 12, December 2003, pp.1491-1500.
- L. Fortuna, M. Frasca, A. Rizzo, “Chaotic Pulse Position Modulation to Improve the Efficiency of Sonar Sensors”, IEEE Trans. on Instrumentation and Measurements, Vol. 52, No. 6, December 2003, pp.1809-1814.
- L. Fortuna, A. Rizzo, M.G. Xibilia, “Modeling Complex Dynamics via Extended PWL-Based CNNs”, International Journal on Chaos and Bifurcation, Vol. 13 No. 11, 3273-3286, 2003.
- A. Bonasera, M. Bucolo, L. Fortuna, M. Frasca, A. Rizzo, “A New Characterization of Chaotic Dynamics: the d∞ parameter”, Nonlinear Phenomena in Complex Systems (Journal, ISSN 1561 - 4085), Vol.6, No.3, 2003, pp. 779-786.
- R. Caponetto, L. Fortuna, A. Rizzo, “Nonlinear Modeling of Fuel Cell Systems for Vehicles”, Nonlinear Phenomena in Complex Systems (Journal ISSN 1561 - 4085), Vol.6, No.3, 2003, pp. 746-751.
- L. Fortuna, M. Frasca, A. Rizzo, “Experimental Pulse Synchronisation of Two Chaotic Circuits”, Chaos, Solitons and Fractals, Elsevier Science, Vol. 17, No.2-3, pp. 355-361, 2003.
- G. Buceti, C. Centioli, F. Iannone. M. Panella, A. Rizzo, V. Vitale, “A rating system for post pulse data validation”, Fusion engineering and desing, vol. 66-68, pp. 887-891, 2003.
- M. Bucolo, R. Caponetto, L. Fortuna, M. Frasca, A. Rizzo, “Does Chaos Work Better than Noise?”, CAS Magazine, vol. 2, no. 3, 2002.
- M. Bucolo, L. Fortuna, M. Nelke, A. Rizzo, T. Sciacca, “Prediction Models for the Corrosion Phenomena in Pulp & Paper Plant”, Control Engineering Practice, vol.10, pp. 227-237, Elsevier Science, 2002.
- A. Rizzo, M.G. Xibilia, “An Innovative Intelligent System for Sensor Validation in Tokamak Machines”, IEEE Trans. On Control Systems Technology, Vol. 10, No. 3, May 2002.
- G. Buceti, L. Fortuna, A. Rizzo, M.G. Xibilia, “Automatic Validation of the 5-Channel DCN Interferometer in ENEA-FTU based on Soft Computing Techniques”, Fusion Engineering and Design, Elsevier Science, Vol. 60, No. 3, pp.381-387, 2002.
- P. Arena, R. Caponetto, L. Fortuna, A. Rizzo, “Noise-Supported Wavefronts in Cellular Neural Networks Based Circuits”, IEEE Transactions on Circuits and Systems, Part 1, vol. 48, No. 3, March 2001, pp. 360-363.
- L. Cantelli, L. Fortuna, M. Frasca, A. Rizzo, “Frequency Switched Chua’s Circuit: Experimental Dynamics Characterisation”, International Journal on Bifurcation and Chaos, vol. 11, No. 1, January 2001, pp. 231-239, World Scientific, Singapore, Jan 2001.
- P. Arena, R. Caponetto, L. Fortuna, M. La Rosa, A. Rizzo, “Self-Organization in Non-Recurrent Complex Systems”, International Journal on Bifurcation and Chaos, World Scientific, Singapore, May 2000.
- P. Arena, R. Caponetto, L. Fortuna, A. Rizzo, “Non-Organised Deterministic Dissymetries Induce Regularity in Spatio-Temporal Dynamics”, International Journal on Bifurcation and Chaos, World Scientific, Singapore, Jan. 2000.

Chapters in Books (International Publishers)

1. A. Rizzo, “Soft Sensors and Articial Intelligence with Applications to Nuclear Fusion Experiments”. In L. Fortuna, A. Fradkov, M. Frasca, From Physics to Control through an Emergeng View, World Scientific Publishing, Singapore, ISBN 978-981-4313-14-8, June 2010.

2. A. Buscarino, L. Fortuna, M. Frasca and A. Rizzo,”From Animal Collectives and Complex Networks to Decentralized Motion Control Strategies. In S. Boccaletti, V. Latora and Y. Moreno, Handbook on Biological Networks, World Scientific Lecture Notes in Complex Systems, World Scientific, ISBN 978-981-283-879-7, December 2009.

3. A. Buscarino, L. Fortuna, M. Frasca and A. Rizzo, “Synchronization in Networks of Mobile Agents”. In A. Chiuso, L. Fortuna, M. Frasca, A. Rizzo, L. Schenato, S. Zampieri (eds.), Modelling, Estimation and Control of Networked Complex Systems. Springer UCS Series. ISBN 978-3-642-03198-4, doi 10.1007/978-3-642-03199-1. 2009. p. 3-25

4. G. Dellino, P. Lino, C. Meloni and A. Rizzo, “Enhanced Evolutionary Algorithms for MDO: a Control Engineering Perspective”. In C. Grosan, A. Abraham and H. Ishibuchi (eds.), Hybrid Evolutionary Algorithms, Springer SCI series, vol. 75, August 2007, pp. 41-80. ISBN: 978-3-540-73296-9.

5. G. d’Aloja, P. Lino, B. Maione, A. Rizzo, “Modeling of Motor Neuronal Structures via Transcranial Magnetic Stimulation”, in J. Filipe et al. (Eds.), Informatics in Control, Automation and Robotics II, Springer, ISBN-13 978-1-4020-5625-3, pp. 191-197, 2007.

6. G. Dellino, P. Lino, C. Meloni and A. Rizzo, “Kriging Metamodels in Design Optimization: an Automotive Engineering Application”, In F. Pistella and R. M. Spitaleri (eds.), IAC Report n. 93 (9/2006), Rome, Italy, September 2006, pp.41-42.

7. M. Bucolo, M.C. Cutuli, L. Fortuna, A. Rizzo, “Spatial Diversity in Reaction-Diffusion Fuzzy Cellular Networks”, in Lectures on Soft Computing, Selected Lectures of the School on Soft-Computing at Salerno University, Springer-Verlag, Studies on Fuzziness and Soft-Computing Series, Jul 2001, ISBN 3-7908-1396-6.

Proceedings of International Conferences

- P. Phamduy, M. Vasquez, A. Rizzo, M. Porfiri, “Miniature Underwater Robotic Fish for Animal-Robot Interaction”, Proceedings of the ASME 2016 Dynamic Systems and Control Conference, DSCC 2016, Minneapolis MN, USA, October 12-14, 2016
- A. Petitti, A. Franchi. D. Di Paola, A. Rizzo, “Decentralized Motion Control for Cooperative Manipulation with a Team of Networked Mobile Manipulators”, Proceedings of the IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016
- A. Petitti, A. Franchi, D. Di Paola, A. Rizzo, "Decentralized Motion Control for Cooperative Manipulation with a Team of Networked Mobile Manipulators", Proceedings of the IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016.
- F. Acquaviva, A. Nuñez Vicencio, D. Di Paola, A. Rizzo, B. De Schutter, "Customer-Oriented Optimal Vehicle Assignment in Mobility-on-Demand Systems", Proceedings of the IEEE Conference on Intelligent Transportation Systems", ISSN: 2153-0009, Las Palmas De Gran Canaria, Spain, September 15-18, 2015.
- A. Franchi, A. Petitti, A. Rizzo, D. Di Paola, "A Distributed Method for Estimating the Grasping and Inertial Parameters in Cooperative Manipulation", Poster presented at the workshop on principles of multi-robot systems, Robotics: Science and Systems (12 Edition), Rome, Italy, July 13-17, 2015.
- A. Petitti, A. Franchi, A. Rizzo, "Decentralized Estimation of Kinematics and Dynamics Properties of an Unknown Load via Multi-Robot Manipulation", Proceedings of the IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA, May 26-30, 2015.
- F. Acquaviva, D. Di Paola, A. Rizzo, “A novel formulation for the distributed solution of load balancing problems in mobility on-demand systems”, Proceedings of the 3rd International Conference on Connected Vehicles and Expo, ICCVE 2014, Vienna, Austria, November 3-7, 2014.
- A. Franchi, A. Petitti, A. Rizzo, “Distributed Estimation of the Inertial Parameters of an Unknown Load via Multi-Robot Manipulation”, Proceedings of the 53rd IEEE Annual Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 2014.
- S. Giannini, A. Petitti, D. Di Paola, A. Rizzo, “Asynchronous Consensus-Based Distributed Target Tracking”, Proceedings of the 52st IEEE Annual Conference on Decision and Control, CDC 2013, Firenze, Italy, December 2013.
- S. Giannini, D. Di Paola, A. Petitti, A. Rizzo, “On the Convergence of the Max-Consensus Protocol with Asynchronous Updates”, Proceedings of the 52st IEEE Annual Conference on Decision and Control, CDC 2013, Firenze, Italy, December 2013.
- 5.V. Kopman, J. Laut, M. Porfiri, F. Acquaviva, A. Rizzo, “Dynamic Modeling of a Compliant Tail-Propelled Robotic Fish”, Proceedings of the 2013 ASME Dynamic Systems and Control Conference, DSC2013, Palo Alto, CA, USA, October 21-23, 2013.
- S. Giannini, D. Di Paola, A. Rizzo, “Coverage-Aware Distributed Target Tracking for Mobile Sensor Networks”, Proceedings of the 51st IEEE Annual Conference on Decision and Control, CDC 2012, Maui, Hawaii, USA, December 10-13, 2012.
- D. Di Paola, R. De Asmundis, A. Gasparri, A. Rizzo, “"Decentralized Topology Control for Robotic Networks with Limited Field of View Sensors”, Proceedings of 2012 American Control Conference, ACC 2012, Montreal, Canada, June 27-29, 2012.
- A. Petitti, D. Di Paola, A. Rizzo, G. Cicirelli, “Consensus-based Distributed Estimation for Target Tracking in Heterogeneous Sensor Networks”, Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, IEEE CDC-ECC 2011, Orlando, Florida, USA, December 12-15, 2011.
- A. Petitti, D. Di Paola, A. Rizzo, G. Cicirelli, “Distributed Target Tracking for Sensor Networks with Only Local Communication”, Proceedings of the 19th Mediterranean Conference on Control and Automation, MED 2011, Corfu, Greece, June 20-23, 2011.
- A. Rizzo, R. S. Varga, A. Buscarino, L. Fortuna, M. Frasca, “Synchronization and Non-Synchronization Properties in Networks with Constant Degree”, Proceedings of the 18th IFAC Triennal World Congress, Milan, Italy, August 28th – September 2nd , 2011
- A. Rizzo, “Soft Sensors and Artificial Intelligence for Nuclear Fusion Experiments”, Proceedings of MELECON2010, 15th Mediterranean Electromechanical Conference, Valletta, Malta, April 2010, ISBN 978-1-4244-5794.
- A. Buscarino, L. Fortuna, M. Frasca, A. Rizzo, “Synchronization in a distributed system of moving chaotic agents”, Proceedings of 3rd International Conference "Physics and Control" (PhysCon 2007), Potsdam, Germany, September 2007. Electronic library of the International Physics and Control Society (IPACS), http://lib.physcon.ru.
- G. Dellino, P. Lino, C. Meloni and A. Rizzo, “Performance Evaluation of the Evolution Control in Design Optimization Assisted by Kriging Surrogates”, Proceedings of the Industrial Simulation Conference – ISC 2007, Delft, Netherlands, June 11th-13th 2007, pp. 49-51. ISBN: 978-90-77381-34-2.
- G. Dellino, P. Lino, C. Meloni and A. Rizzo, “Models for the Design and Optimization of CNG Injection Systems”, in Proceedings of the 6th EUROSIM Congress on Modelling and Simulation (EUROSIM 2007), Ljubljana, Slovenia, September 9th-13th, ISBN 978-3-901608-32-2, ISSN 3-901608-32-X.
- C. Bonomo, G. Dellino, L. Fortuna, P. Giannone, S. Graziani, P. Lino, C. Meloni, A. Rizzo, “Optimization Issues in Modeling IPMC Devices”, in Proceedings of the 6th EUROSIM Congress on Modelling and Simulation (EUROSIM 2007), Ljubljana, Slovenia, September 9th-13th, ISBN 978-3-901608-32-2, ISSN 3-901608-32-X.
- A. Buscarino, L. Fortuna, M. Frasca, A. Rizzo, “Distributed control of collective motion of robots through mainly local interactions”, Proceedings of the European Conference on Complex Systems, Oxford, United Kingdom, September 25th – 27th, 2006.
- G. Dellino, P. Lino, C. Meloni and A. Rizzo, “Multidisciplinary Design Optimization of a Pressure Controller for CNG Injection Systems”, Proceedings of the IEEE CACSD 2006 International Conference on Computer Aided Control Systems Design, Munich, Germany, October 4th-6th 2006, pp. 2689-2694.
- G. Dellino, P. Lino, C. Meloni and A. Rizzo, “Kriging Metamodels in Design Optimization: an Automotive Engineering Application”, Proceedings of the 6th Meeting on Applied Scientific Computing and Tools – MASCOT 06 Workshop, Rome, Italy, October 5th-7th 2006.
- M. Bucolo, R. Caponetto, L. Fortuna, M. Frasca, A. Rizzo, “Chaos and Noise-Driven Emergence of Order from Disorder”, UPoN 2005: Fourth International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology, Gallipoli, Italy, June 2005. AIP (American Institute of Physics) Proceedings, vol. 800, ISBN 0-7354-0289-2, Editors L. Reggiani, C. Pennetta, V. Akimov, E. Alfinito, M. Rosini; pp. 231-236.
- G. d’Aloja, P. Lino, B. Maione, A. Rizzo, “Nonlinear Modeling of Brain Motor Waves via Transcranial Magnetic Stimulation”, CDC-ECC05, 44th IEEE Conference on Decision and Control and European Control Conference, 2005, Sevilla, Spain, Dec 2005.
- A. Buscarino, L. Fortuna, M. Frasca, A. Rizzo, “Local and Long-Range Interactions for Distributed Control of a Group of Robots”, CDC-ECC05, 44th IEEE Conference on Decision and Control and European Control Conference, 2005, Sevilla, Spain, Dec 2005.
- 22.B. Maione, P. Lino, A. Rizzo, “A Control-Oriented Model of a Common Rail Injection System for Diesel Engines”, in Proceedings of IEEE ETFA05, 10th IEEE International Conference on Emerging Technologies and Factory Automation, Catania, Italy, 2005
- R. Caponetto, L. Fortuna, A. Rizzo, “Neural Network Modelling of Fuel Cell Systems for Vehicles, in Proceedings of IEEE ETFA05, 10th IEEE International Conference on Emerging Technologies and Factory Automation, Catania, Italy, 2005
- B. Maione, P. Lino, A. Rizzo, “A Model Based Control of Compressed Natural Gas Injection Systems”, in Proceedings of ICINCO05, Second International Conference on Informatics in Control, Automation and Robotics, Barcelona, Spain, 2005
- 25.G. d’Aloja, P. Lino, B. Maione, A. Rizzo, “Modeling of Motor Neuronal Structures via Transcranial Magnetic Stimulation”, in Proceedings of ICINCO05, Second International Conference on Informatics in Control, Automation and Robotics, Barcelona, Spain, 2005
- B. Esposito, L. Fortuna, A. Rizzo, “Neural neutron/gamma discrimination in organic scintillators for fusion applications”, Proceedings of the 2004 IEEE International Joint Conference on Neural Networks, Budapest, Hungary, July, 2004, vol. 4, pp. 2931-2936.
- R. Caponetto, L. Fortuna, M. Frasca, S. Guzzardi, A. Rizzo, “Arrays of Switched Chua’s Circuits”, IEEE International Symposium on Circuits and Systems, ISCAS2004, Vancouver, Canada, 2004.
- B. Esposito, L. Fortuna, A. Rizzo, “A Neural System for Radiation Discrimination in Nuclear Fusion Applications”, IEEE International Symposium on Circuits and Systems, ISCAS2004, Vancouver, Canada, 2004.
- P. Arena, A. Basile, L. Fortuna, G. Mazzitelli, A. Rizzo, M. Zammataro, “CNN-Based Real-Time Video Detection of Plasma Instability in Nuclear Fusion Applications”, IEEE International Symposium on Circuits and Systems, ISCAS2004, Vancouver, Canada, 2004.
- G. Giustolisi, A. Rizzo, “CMOS Implementation of an Extended CNN Cell to deal with Complex Dynamics”, ISCAS 2003, IEEE International Symposium on Circuits and Systems, Bangkok, Thailand, May 2003.
- G. Iannizzotto, F. La Rosa, A. Rizzo, M.G. Xibilia, : “2D Stillimage segmentation with CNN-Amoeba”, IEEE International Workshop on Computer Architecture for Machine Perception, CAMP2003, May 11-14, New Orleans, LA, 2003.
- A. Bonasera, M. Bucolo, L. Fortuna, M. Frasca, A. Rizzo, “Experimental evaluation of the d∞ parameter to characterize chaotic dynamics”, Springer-Verlag Series AIP Conference Proceedings, Proceedings of 7th Experimental Chaos Conference, San Diego, California, USA, August 25-29, 2002, Editors: V. In; L. Kocarev; T.L. Carroll; B.J. Gluckman; S. Boccaletti; J. Kurths; Springer-Verlag, Melville, New York, 2003, pp. 355-360, ISBN 0-7354-0145-4.
- M. Branciforte, F. Doddo, L. Fortuna, A. Rizzo, "A completely analog-based processor control for hexapod robots", proceedings of 5th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR), Paris, September 2002, pp. 71-78.
- G. Buceti, C. Centioli, F. Iannone, M. Panella, A. Rizzo, V. Vitale, “A Rating System for Post Pulse Data Validation”, SOFT2002, 22nd Symposium on Fusion Technology, Helsinki, Finland, September 2002.
- L. Fortuna, M. Frasca, A. Rizzo, “Self-Organising Behavior of Arrays of Non Identical Josephson Junctions”, ISCAS 2002, IEEE International Symposium on Circuits and Systems, Vol. 5, pp. 213-216, May 2002, Scottsdale, Arizona, USA.
- L. Fortuna, A. Rizzo, M. Sinatra, M.G. Xibilia, “Soft Analysers for a Sulfur Recover Unit”, Proc. of 15th Triennal IFAC World Congress, Barcelona, Spain, 2002.
- G. Buceti, L. Fortuna, A. Rizzo, M.G. Xibilia, “An Automatic Validation System for Interferometry Density Measurements in the ENEA-FTU Tokamak Based on Soft-Computing”, 8th International Conference on Accelerator and Large Experimental Physics Control Systems, ICALEPCS01, San Jose, California, 2001, pp. 343-345.
- P. Arena, M. Branciforte, R. Caponetto, A. Rizzo, G. Peschiera, “An integrated approach for locomotion and visual control of a service hexapod via CNNs”, Proceedings of the 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Como, Italy, Jul 2001. Vol. 2, pp. 980-984.
- G. Buceti, A. Gallo, A. Rizzo, M.G. Xibilia, “A Fuzzy sensor validation system for plasma density measures in tokamak machines based on neural models”, SOCO/ISFI 2001, Fourth International ICSC Symposium on Soft Computing and Intelligent Systems for Industry, Paisley, Scotland, U.K., June 26 - 29, 2001.
- L. Fortuna, M. Frasca, A. Rizzo, “Generating Solitons in Lattices of Nonlinear Circuits”, ISCAS 2001, International Symposium on Circuits and Systems, May 2001, Sidney, Australia, vol. 2, pp. 680-683.
- L. Fortuna, M. Frasca, A. Rizzo, “Frequency Hysteresis Phenomena in the Switched Chua’s Circuit”, ISCAS 2001, International Symposium on Circuits and Systems, May 2001, Sidney, Australia, vol. 2, pp. 277-280.
- L. Fortuna, M. Frasca, A. Rizzo, “Chaos Preservation through Continuos Chaotic Pulse Position Modulation”, ISCAS 2001, International Symposium on Circuits and Systems, May 2001, Sidney, Australia, vol. 2, pp. 803-806.
- M. Bucolo, L. Fortuna, A. Rizzo, “Reaction-Diffusion Fuzzy Cellular Networks”, COIL2000, International Symposium on Computation Intelligence and Learning, Chios, Greece, Jul 2000.
- A. Bonasera, M. Bucolo, L. Fortuna, A. Rizzo, “The d Parameter to Characterise Chaotic Dynamics”, IJCNN 2000, International Joint Conference on Neural Networks, Como, Jul 2000.
- P. Arena, L. Fortuna, A. Rizzo, M.G. Xibilia, “Extending the CNN Paradigm to Approximate Chaotic Systems with Multivariable Nonlinearities”, ISCAS2000, IEEE International Symposium on Circuits and Systems, Geneva, Switzerland, Jun 2000.
- M. Bucolo, L. Fortuna, M. Nelke, A. Rizzo, T. Sciacca, “Corrosion Prediction in Pulp & Paper Industry with Neuro-Fuzzy Technique”, SYSID2000, International IFAC Conference on System Identification, Santa Barbara, CA, Jun 2000.
- L. Fortuna, A. Gallo, A. Rizzo, MG Xibilia, “An Innovative Intelligent System for Fault Detection in Tokamak Machines”, ICALEPCS99, International Conference on Accelerators and Large Experimental Physics Control Systems, Trieste, Italy, Oct. 99
- M. Bucolo, L. Fortuna, S. Graziani, A. Rizzo, “Neuro-Fuzzy Identification and Control of a Chain of Oscillators”, ICECS99, International Conference on Electronics, Circuits, and Systems, Pafos, Cyprus, Sep. 1999.
- P. Arena, M. Bucolo, L. Fortuna, A. Rizzo, “Control of Complex Neuro-Fuzzy Dynamics with Disorder”, ECCTD99, European Conference on Circuit Theory and Design, Stresa, Italy, Sep. 1999, pp. 991-994.
- P. Arena, L. Fortuna, D. Platania, A. Rizzo, “Spatial Disorder in CNNs Induces Spatio-Temporal Organisation”, ECCTD99, European Conference on Circuit Theory and Design, Stresa, Italy, Sep. 1999, pp. 1011-1014.
- P. Arena, L. Fortuna, D. Porto, A. Rizzo, “Self-Organisation in Arrays of Nonlinear Systems Induced by Chaotic Perturbation: an Experimental Approach”, ISCAS 99 conference, Orlando, FL, vol. 5, pp. 479 – 482, june 1999.
- L. Fortuna, V. Marchese, A. Rizzo, M.G. Xibilia, “A Neural Networks Based System for Post Pulse Fault Detection and Data Validation in Tokamak Machines”, ISCAS 99 conference, Orlando, FL, vol. 5, pp. 563 – 566, june 1999.
- L. Fortuna, M. La Rosa, A. Rizzo, G. Tomarchio, “Controllo Adattativo della Posizione Verticale del Plasma nel JET (Joint European Torus)”, Atti del Convegno Internazionale BIAS “Automazione 1998”, Milano, Nov. 1998, pp. 431-439
- P. Arena, L. Fortuna, G. Muscato, A. Rizzo, “Coping with Vibrational Control”, NOLTA 98, International Symposium on Nonlinear Theory and its Applications, Le Régent, Crans‑Montana, Sep. 98, pp. 89 – 92.
- E. Marchand, F. Chaumette, A. Rizzo, “Evitement des Butées Articulaires et des Singularités Internes en Asservissement Visuel”, ORASIS 96, 5mes Journées du Pôle Vision du Gdr-Prc Communication Homme‑Machine, Clermont‑Ferrand, May 1996, pp. 37 – 42.
- E. Marchand, F. Chaumette, A. Rizzo, “Using the Task Function Approach to Avoid Joint Limits and Kinematic Singularities in Visual Servoing”, IEEE Int. Conf. On Intelligent Robots and Systems, Osaka, Nov. 1996.
- E. Marchand, A. Rizzo, F. Chaumette, “Avoiding Robot Joint Limits and Kinematic Singularities in Visual Servoing”, IEEE Int. Conf. On Pattern Recognition, Wien, Aug. 1996.

Papers on National Refereed Journals

1.M. Cuccovillo, M. Chiarantoni, A. Rizzo, C. Guaragnella, G. Indiveri, “Sistema Automatico Sottomarino di Monitoraggio Ambientale (SASMA). Elettronica Oggi 410, Giugno 2011, pp. 24-27.

Proceedings of National Conferences

1.P. Lino, B. Maione, A. Rizzo, B. Turchiano, “Modellistica dei Movimenti Collettivi in Situazioni di Emergenza”, Convegno Scientifico Nazionale – “Sicurezza nei Sistemi Complessi” - Bari, 16–18 Ottobre 2007.

2.P. Arena, L. Fortuna, A. Rizzo, M.G. Xibilia, “How CNNs can Approximate Chaotic Dynamics with Multivariable Nonlinearities”, WILF99, Workshop Italiano sulla Logica Fuzzy, Genova, Italy, Jun. 1999.

3.R. Caponetto, L. Fortuna, M. La Rosa, A. Rizzo, “Non Linear Circuits and Non Recurrent Complex Systems: New Results”, WILF99, Workshop Italiano sulla Logica Fuzzy, Genova, Italy, Jun. 1999.

Doctor of Philosophy, Electronic and Automation Engineering

Laurea (B.Sc./M.Sc.), Computer Engineering

Associate Professor (with tenure)

From: November 2015 to present

Tenured Researcher

From: July 2002 to October 2015

Research Fellow

Design and implementation of sensor validation and fault detection strategies for nuclear fusion

From: January 1999 to December 2002

Professor of Robotics

From: November 1999 to June 2002

Industrial Research Consultant

Nonlinear and chaotic circuits for robotics applications.

From: November 1999 to October 2001

EURATOM Research Fellow

Design and implementation of sensor validation and fault detection strategies for the mechanical stress sensor system of a tokamak machine

From: March 1998 to December 1998

Research Student

Avoidance of joint limits and kinematic singularities in visual servoing applications

From: December 1994 to July 1995

Patent No. 01830801.5-1248

Patent No. 01830015.2

1. A. Chiuso, L. Fortuna, M. Frasca, A. Rizzo, L. Schenato, S. Zampieri (eds.), Modelling, Estimation and Control of Networked Complex Systems. Springer UCS Series. ISBN 978-3-642-03198-4, doi 10.1007/978-3-642-03199-1. 2009.

2. L. Fortuna, S. Graziani, A. Rizzo, M.G. Xibilia, “Soft Sensors for Monitoring and Control of Industrial Processes”, Advances in Industrial Control Series, Springer, ISBN 978-1846284793, 2007.

Posted November 28th, 2016

Posted November 6th, 2014

- Featuring of the paper "Effect of individual behavior on epidemic spreading in activity-driven networks" in the online magazine Physics - Spotlighting Exceptional Research, by the American Physical Society
- Scholarship awarded by the Honors Center of Italian Universities (H2CU) for

Visiting Professorship at the Department of Mechanical and Aerospace Engineering, New York University Polytechnic School of Engineering, from 2012

to present - Top 50% most read Springer eBooks, 2012.
- Best interactive presentation, awarded by the Italian Association of the Professors and Researchers in Automation Engineering at the National Congress “Automatica 2012”, 2012.
- IMACS Honor Member (International Association for Mathematics and Computers

in Simulation), 2010. - The 10 most read articles on Mathematics and Computers in Simulation (Elsevier), 2009.
- IEEE Senior Member, 2008.
- IEEE Distinguished Lecturer, Nuclear and Plasma Science Society, 2007-

present. - Award Winning Application Paper at the IFAC Triennial World Congress,

Barcelona, Spain, 2002. - Best Paper Award at the SOCO/ISFI 2001 Fourth International ICSC Symposium

on Soft Computing an Intelligent Systems for Industry, Paisley, Scotland,

UK, 2001. - European Community ERASMUS Scholarship for research activity and

preparation of the “Laurea” (Degree) Thesis at IRISA/INRIA (Rennes,

France), 1996.

- IEEE, Senior member
- IEEE Nuclear and Plasma Science Society, Italy Chapter Chair
- IMACS, International Association for Mathematics and Computers in Simulation, Honor Member
- ASME, American Society of Mechanical Engineers, Member
- SICC, Italian Society for Chaos and Complexity, Member
- IPACS, International Physics and Control Society, Member
- Italian Engineer Register, Member

- Complex systems and networks
- Consensus algorithms, distributed estimation
- Robotic networks, coordination and distributed control
- Bio-inspired robotics
- Nonlinear modeling and control

- Models for epidemic spreading, in collaboration with the Dynamical Systems Lab of NYU Polytechnic School of Engineering
- Modeling and control of a biomimetic robotic fish, in collaboration with the Dynamical Systems Lab of NYU Polytechnic School of Engineering
- Distributed estimation of the inertial parameters of an unknown payload through collective manipulation, in collaboration with LAAS-CNRS, Toulouse, France, and ISSIA-CNR, Italy
- Modeling, scheduling, optimization and control of mobility on demand systems, in collaboration with TU-Delft, The Netherlands, and ISSIA-CNR, Italy
- Complex systems and networks, in collaboration with the University of Catania, Italy

National Science Foundation (CMMI), 1/9/2016 - 8/31/2019

Award Abstract #1561134

Network-based Modeling of Infectious Disease Epidemics in a Mobile Population: Strengthening Preparedness and Containment

NSF Org: CMMI

Div Of Civil, Mechanical, & Manufact Inn

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Initial Amendment Date: March 30, 2016

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Latest Amendment Date: March 30, 2016

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Award Number: 1561134

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Award Instrument: Standard Grant

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Program Manager: Jordan Berg

CMMI Div Of Civil, Mechanical, & Manufact Inn

ENG Directorate For Engineering

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Start Date: September 1, 2016

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End Date: August 31, 2019 (Estimated)

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Awarded Amount to Date: $375,000.00

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Investigator(s): Maurizio Porfiri mporfiri@nyu.edu (Principal Investigator)

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Sponsor: New York University

70 WASHINGTON SQUARE S

NEW YORK, NY 10012-1019 (212)998-2121

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NSF Program(s): Dynamics, Control and System D

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Program Reference Code(s): 031E, 032E, 8024

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Program Element Code(s): 7569

ABSTRACT

Mathematical models of infectious disease spread are potent tools for the management of dangerous outbreaks. These models can form a basis for planning and implementing vaccination strategies, evaluating the risks and benefits of travel bans, and improving the effectiveness of prophylaxis campaigns. However traditional modeling approaches do not fully capture the national and international mobility characteristic of modern society, where contacts do not remain geographically confined to the area of the initial outbreak, and an infection may jump thousands of miles in a single day. This project will advance fundamental understanding of dynamical systems evolving on reconfigurable networks, in which the subsystems and the network connections change on comparable time-scales. The resulting mathematical framework will enable a new class of predictive models of infectious disease spread. These models will aid in safeguarding uninfected populations and in mitigating impact on afflicted nations, even when, as in the case of Ebola Virus Disease, no therapeutic protocol is available. More broadly, the underlying theoretical advances are expected to transform the analysis, design, and control of dynamical systems on rapidly reconfiguring networks. Complementing the research component of this project is outreach to promote the education of underprivileged students and to serve economically-disadvantaged communities.

This research program seeks to advance the field of dynamical systems and complex networks toward tractable mathematical models of infectious disease epidemics. Specifically, this project will establish a theoretical framework for the study of the concurrent evolution of the dynamics of infectious diseases and the formation of the network of contacts through which they spread. The framework will be based on the notion of activity-driven networks, which can be effectively utilized to model contact processes that evolve over time-varying networks across a range of time-scales. This modeling paradigm contrasts that of traditional connectivity-driven networks, where links between nodes have a long life span, resulting in the separation between the time-scales of the dynamics of the network connections and the process evolution. The research team will seek to understand the effect of non-ideal containment procedures on the spread of infectious disease through the systematic analysis of global and local network features; devise strategies for community detection in time-varying networks, toward identifying untraced contacts that are critical for disease spreading and of great public concern; and establish model-based optimization strategies to prioritize contact tracing procedures toward improving the effectiveness and outcomes of control interventions.

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