Alessandro Chiuso
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Professor - Fellow IEEE
Department of Information Engineering Via Gradenigo 6/b 35131 Padova, Italy Tel.: +39 049.8277709 Fax: +39 049.827.7799
E-mail: |
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[NEWS |
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[January 2020] PROACTIVE Project "Personalized whole brain models for neurosicence: Inference and validation"
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[September 2019] Francesco Zanini has joined our group as a Ph.D. student
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[September 2018] Master student Ala Eddine Ayadi gets Microsoft-NIPS Travel award at DeepLearningINDABA2018 for his poster on the master thesis performed at the University of Padova (https://twitter.com/NandoDF/status/1040563524215291904?s=19)
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[September 2018] Luca Zancato has joined our group as a Ph.D. student
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[July 2017] Alessandro has been nominated Chair of the IFAC TC1.1 on Modeling, Identification and Signal Processing
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[Jan 2016] We are organizing the ERNSI (European Research Network System Identification) Workshop, to be held on Sept. 25-28 2016, CastelBrando, Cison di Valmarino (TV), Italy.
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[Oct 2014] Check out our [K. Tsotsos, A. Chiuso and S. Soatto] video on "Robust inference for Visual-Inertial Sensor Fusion'' (supplementary material for our ICRA 2015 submission)
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[May 2014] A. Chiuso has been invited to deliver a Plenary talk at the 17th IFAC Symposium on System Identification, Beijing 2015
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[April 2014] Dr. Mattia Zorzi has joined our group as a Researcher (RTDa) funded by our FIRB project. Welcome!
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[January 2014] Giulia Prando and Diego Romeres are now Ph.D students within our group
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[October 2013] A. Chiuso has organized an Invited Tutorial Session on the Recent developments in System Identification at the 13th ECC in Strasbourg (June 2014). Speakers will be: A. Chiuso, H. Hjalmarsson, G. Pillonetto and M. Sznaier
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EDUCATION |
- Post Doctoral Fellow, Dept. of Mathematics, KTH, Stockholm, Sweden. March 2000, July 2000.
- Ph.D., Systems Engineering, University of Bologna, 2000
- Visiting Research Scholar, Washington University St. Louis (USA). Aug. 1998-Jun 1999.
- Laurea (MS), Telecommunication Engineering, University of Padova, 1996
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AWARDS |
- Ing. Aldo Gini Foundation Fellowship, Padova, Italy, 1999
- IEEE Senior Member, 2006
- Outstanding Reviewer, Automatica, 2007
- Outstanding Reviewer, IEEE Transactions on Automatic Control, 2009
- Best Oral Presentation, SIDRA meeting 2012
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PROJECTS |
ONGOING:
- (Local Coordinator) PRIN 2017 (MIUR): "Data-driven control of constrained dynamical systems" (IMTLucca - UNIPD - PoliMI)
- (Coordinator) Progetto Proactiove (@DEI UNIPD) "Personalized whole brain models for neuroscience: inference and validation" (total funding ~270Keuro)
- (UNIPD/Italy Team Leader) ERNSI - European Research Network on System Identification (http://people.kth.se/~bo/ERNSI/index.html)
PAST:
- (Coordinator) FIRB 2012 (MIUR): Learning meets time, a new computational approach to learning in dynamic systems (UNIPD - UNIGE - UNIFE, total funding 715 Keuro)
- (Coordinator) Progetto SID 2016 (BIRD162411/16) "Statistical learning methods for estimating the effective connectivity of human brain networks" (total funding 51Keuro)
- (Coordinator) Progetto di Ateneo (UNIPD): Learning methods and software for identification and estimation of large-scale distributed dynamic systems (tot. funding 38 Keuro)
- (Participant) HYCON II - Network of Excellence (EU Project): Highly-complex and networked control systems
- (Participant) Feednetback (EU Project): Feedback design for wireless networked systems
- (Participant) Recsys (EU Project): Real-Time Embedded Control of Mobile Systems with Distributed Sensing
- (Participant) PRIN (MIUR): bi-annual projects 2000-2002-2004-2006-2008
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EDITORIAL ACTIVITY |
- Mathematics of Control, Signals, and Systems (Associate Editor, 2020 - )
- Chair of the IFAC Technical Committee on Modeling, Identification and Signal Processing (07/2017-)
- IEEE Transactions on Control Systems Technology (Associate Editor, January 2013-2018)
- European Journal of Control (Associate Editor, January 2011-)
- Automatica (Associate Editor, 2008-2020)
- IEEE Transactions on Automatic Control (Associate Editor, 2010-2012)
- IET Control Theory and Applications (Editorial Board member, 2007-2013)
- IEEE CSS Conference Editorial Board (Associate Editor, 2004-2009)
- IEEE CSS Technical Committee on System Identification and Adaptive Control (Member)
- Program Committe Member (only major international conferences listed):
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- L4DC: 2020, 2021
- IFAC World Congress 2014, 2017, 2020(Technical Associate Editor)
- IFAC SYSID 2009, 2012, 2015, 2018, 2021
- IEEE CDC 2005, 2007,2008,2009,2017, 2018
- MTNS 2004, 2006, 2010
- IEEE MED 2006.
Recent Papers
[ all BibTeX ]
2018
G. Pillonetto, A. Chiuso. Identification of Stable Linear Systems Via the Sequential Stabilizing Spline Algorithm. Proceedings of SYSID 2018 (accepted), 2018 [BibTeX]
G. Bottegal, A. Chiuso, P. Van den Hof. On Dynamic Network Modeling of Stationary Multivariate Processes. Proceedings of SYSID 2018 (accepted), 2018 [BibTeX]
M. Zorzi, A. Chiuso. The Harmonic Analysis of Kernel Functions. Automatica - accepted, 2018 [BibTeX]
G. Prando, M. Zorzi, A. Bertoldo, A. Chiuso. The Role of Noise Modeling in the Estimation of Resting-State Brain Effective Connectivity. Proceedings of SYSID 2018 (accepted), 2018 [BibTeX]
2017
G. Prando, M. Zorzi, A. Bertoldo, A. Chiuso. Estimating effective connectivity in linear brain network models. 56th IEEE Conference on Decision and Control, pp. accepted, 2017 [BibTeX]
S. Dey, A. Chiuso, L. Schenato. Feedback Control over lossy SNR-limited channels: linear encoder-decoder-controller design. IEEE Transactions on Automatic Control, vol. 62(6), pp. 3054-3061, 2017 [url] [BibTeX]
G. Prando, G. Pillonetto, A. Chiuso. Maximum Entropy Vector Kernels for MIMO system identification. Automatica (accepted as regular paper), 2017 [url] [BibTeX]
M. Zorzi, A. Chiuso. Sparse plus Low rank Network Identification: A Nonparamteric Approach. Automatica, vol. 53(2), 2017 [BibTeX]
2016
G. Prando, D. Romeres, G. Pillonetto, A. Chiuso. Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets. Proc. of ECC 2016, 2016 [BibTeX]
T. Chen, G. Pillonetto, A. Chiuso, L. Ljung. DC kernel - a stable generalized first order spline kernel. Proc. of CDC 2016 - accepted, 2016 [BibTeX]
T. Chen, T. Ardeshiri, F.P. Carli, A. Chiuso, L. Ljung, G. Pillonetto. Maximum entropy properties of discrete-time first-order stable spline kernel. Automatica, 2016 [BibTeX]
S. Soatto, A. Chiuso. Modeling Visual Representations:Defining Properties and Deep Approximations. International Conference on Learning Representation (ICLR), 2016 [BibTeX]
D. Romeres, G. Prando, G. Pillonetto, A. Chiuso. On-line Bayesian System Identification. Proc. of ECC 2016, 2016 [BibTeX]
G. Prando, D. Romeres, A. Chiuso. On-line Identification of Time-Varying Systems: a Bayesian approach. IEEE CDC 2016 - accepted, 2016 [BibTeX]
D. Romeres, M. Zorzi, R. Camoriano, A. Chiuso. Online semi-parametric learning for inverse dynamics modeling. 55th IEEE Conference on Decision and Control, 2016 [BibTeX]
A. Chiuso. Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future. Annual Reviews in Control - in press, 2016 [url] [BibTeX]
G. Pillonetto, T. Chen, A. Chiuso, G. De nicolao, L. Ljung. Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. Automatica, 2016 [url] [BibTeX]
G. Rallo, S. Formentin, A. Chiuso, S. Savaresi. Virtual Reference Feedback Tuning with bayesian regularization. ECC 2016, 2016 [BibTeX]
2015
M. Zorzi, A. Chiuso. A Bayesian Approach to Sparse plus Low rank Network Identification. IEEE CDC 2015, 2015 [BibTeX]
M. Zorzi, A. Chiuso. A Bayesian approach to sparse plus low rank network identification. CFE-CMStatistics 2015 Book of Abstracts, 2015 [url] [BibTeX]
S. Bonettini, A. Chiuso, M. Prato. A SCALED GRADIENT PROJECTION METHOD FOR BAYESIAN LEARNING IN DYNAMICAL SYSTEMS. SIAM Journal on Scientific Computing (accepted), 2015 [BibTeX]
D. Romeres, G. Pillonetto, A. Chiuso. Identification of stable models via nonparametric prediction error methods. Proc. of the European Control Conference, 2015 [ abstract ] [BibTeX]
S. Dey, A. Chiuso, L. Schenato. Linear Encoder-Decoder-Controller Design over Channels with Packet Loss and Quantization Noise. European Control Conference ECC15, 2015 [pdf] [BibTeX]
G. Prando, A. Chiuso. Model reduction for linear Bayesian System Identification. IEEE CDC 2015, 2015 [BibTeX]
G. Prando, G. Pillonetto, A. Chiuso. On the role of rank penalties in linear system identification. Prof. of SYSID 2015, 2015 [BibTeX]
A. Chiuso. Regularization and Bayesian Learning in dynamical systems: past, present and future. Plenary Lecture, SYSID 2015, 2015 [BibTeX]
K. Tsotsos, A. Chiuso, S. Soatto. Robust Inference for Visual-Inertial Sensor Fusion. ICRA 2015 (accepted), 2015 [BibTeX]
T. Chen, G. Pillonetto, A. Chiuso, L. Ljung. Spectral analysis of the DC kernel for regularized system identification. IEEE CDC 2015, 2015 [BibTeX]
G. Georgiadis, A. Chiuso, S. Soatto. Texture Representations for Image and Video Synthesis. Proc. of CVPR 2015, 2015 [BibTeX]
G. Pillonetto, A. Chiuso. Tuning complexity in regularized kernel-based regression and linear system identification: the robustness of the marginal likelihood estimator. Automatica (accepted), 2015 [BibTeX]
S. Soatto, A. Chiuso. Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximation. International Conference on Learning Representation (ICLR), Workshop Track, 2015 [BibTeX]
2014
T. Chen, M. Andersen, A. Chiuso, G. Pillonetto, L. Ljung. Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method. IEEE CDC 2014, 2014 [BibTeX]
A. Chiuso, G. Pillonetto. Bayesian and nonparametric methods for system identification and model selection. Proc. of ECC 2014, 2014 [BibTeX]
G. Prando, A. Chiuso, G. Pillonetto. Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties. Proc. IEEE CDC, 2014 [BibTeX]
A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto. Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso. Journal of Machine Learning Research, (15), pp. 1-36, 2014 [BibTeX]
A. Chiuso, N. Laurenti, L. Schenato, A. Zanella. LQG-like control of scalar systems over communication channels: the role of data losses, delays and SNR limitations. Automatica, vol. 50(12), pp. 3155–3163, 2014 [url] [pdf] [BibTeX]
A. Chiuso, T. Chen, L. Ljung, G. Pillonetto. On the design of Multiple Kernels for nonparametric linear system identification. IEEE CDC 2014, 2014 [BibTeX]
S. Dey, A. Chiuso, L. Schenato. Remote estimation with noisy measurements subject to packet loss and quantization noise. IEEE Transactions on Control of Network Systems, vol. 1(3), pp. 204-217, 2014 [url] [pdf] [BibTeX]
A. Chiuso. System Identification Techniques: Convexification, Regularization, Relaxation. Springer Encyclopedia of Systems and Control, 2014 [BibTeX]
T. Chen, M. Andersen, L. Ljung, A. Chiuso, G. Pillonetto. System identification via sparse multiple kernel-based regularization using sequential convex optimization techniques. IEEE Transactions on Automatic Control, 2014 [BibTeX]
G. Pillonetto, A. Chiuso. Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator. Proc. of ECC 2014, 2014 [BibTeX]