Researcher 

ISSIA CNR – Genova

(+39) 010 6475840
mauro.gaggero

SHORT BIO

Mauro Gaggero was born in Genoa, Italy, on December 8, 1981. He received the B.S. and M.S. degrees “summa cum laude” in electronic engineering and the Ph.D. degree in mathematical engineering from the University of Genoa, Genoa, in 2003, 2005, and 2010, respectively. He was a Post-Doctoral Fellow with the Faculty of Engineering, University of Genoa, in 2010. Since 2011, he has been a Research Scientist with the Institute of Intelligent Systems for Automation, National Research Council of Italy, Italy.

Since 2010 he has been lecturer of courses of Operations Research for the B.S. and M.S. degrees in Management Engineering of the University of Genoa. He was lecturer of the course Decision and Planning for post-graduate students in 2007, and has worked as teaching support for various courses since 2006. He has supervised thesis works for B.S. and M.S. degrees at the Faculty of Engineering of the University of Genoa and has been tutor of internship projects between the National Research Council of Italy and the University of Genoa.

He has been member of the Program Committee of various international conferences, and works as reviewer for many international journals and conferences.

In 2013 he was awarded of the prize “Ricercat@mente” for the best research activity of most promising young researchers “under 35” at the National Research Council of Italy in the field “Engineering, ICT and Technology for Energy and Transportation”. The award was sponsored by the National Research Council of Italy and Accademia Nazionale dei Lincei.

He participated in many funded research projects in different fields, like container terminals logistics, decision support systems, urban traffic prediction, environmental monitoring using UAVs, fault detection and optimization of hybrid vehicles, infomobility.

His current research activity includes mathematical modeling and control of complex nonlinear systems, learning from data, numerical solution of functional optimization problems. He has investigated linear and nonlinear mathematical programming techniques, heuristic algorithms, numerical simulation techniques, optimal control and state estimation problems for nonlinear systems, model predictive control, dynamic programming, optimal control of systems described by partial differential equations. He has used artificial intelligence tools like neural networks and other approximators to develop intelligent decision support systems. Examples of applications of his research activity are modeling and control of logistic operations, with focus on flows of goods in intermodal container terminals and distribution chains, modeling and identification of vehicular traffic flows, optimal consumption and inventory control problems, management of water reservoirs networks, distributed parameter systems.

JOURNAL PUBLICATIONS

  1. L. Caviglione; M. Gaggero; E. Cambiaso; M. Aiello

    Measuring the energy consumption of cyber security, IEEE Communications Magazine, Vol. 55, No. 7, pp. 58-63 2017

  2. C. Cervellera; M. Gaggero; D. Macciò

    Lattice point sets for state sampling in approximate dynamic programming, Optimal Control Applications & Methods, DOI: 10.1002/oca.2325, March 2017

  3. A. Alessandri; M. Gaggero

    Fast moving horizon state estimation for discrete-time systems using single and multi iteration descent methods, IEEE transactions on Automatic Control, Vol. 62, Issue 9, 2017

  4. A. Alessandri; C. Cervellera; M. Gaggero

    Nonlinear predictive control of container flows in maritime intermodal terminals, IEEE transactions on control systems technology, Vol. 21, No. 4, 1423-1431, 2013

  5. M. Gaggero; G. Gnecco; M. Sanguineti

    Dynamic programming and value-function approximation in sequential decision problems: error analysis and numerical results, Journal of optimization theory and applications, Vol. 156, No. 2, 380-416, 2013

  6. Luca Caviglione, Mauro Gaggero, Jean-Frannois Lalande, Wojciech Mazurczyk, Marcin Urbanski

    "Seeing the unseen: revealing mobile malware hidden communications via energy consumption and artificial intelligence", IEEE transactions on information forensics and security, Vol. 11, No. 4, 2016

  7. Gaggero M.; Caviglione L.

    Predictive control for energy-aware consolidation in cloud datacenters, IEEE transactions on control systems technology, Vol.24, No.2, 2016

  8. C. Cervellera, M. Gaggero and D. Macciò

    Low-Discrepancy Sampling for Approximate Dynamic Programming with Local Approximators'', Computers and Operations Research, vol. 43, pp. 108-115, 2014

  9. Gaggero M., Gnecco G., Sanguineti M.

    Approximate dynamic programming for stochastic N-stage optimization with application to optimal consumption under uncertainty, Computational optimization and applications, Vol. 58, No. 1, pp. 31-85, 2014

  10. A. Alessandri, C. Cervellera and M. Gaggero

    Predictive Control of Container Flows in Maritime Intermodal Terminals, IEEE Transactions on Control Systems Technology, vol. 21, no. 4, pp. 1423-1431, 2013

  11. A. Alessandri; M. Gaggero; R. Zoppoli

    Feedback optimal control of distributed parameter systems by using finite-dimensional approximation schemes, IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, No. 6, 984-996, 2012

  12. G. Gnecco; M. Sanguineti; M. Gaggero

    Suboptimal solutions to team optimization problems with stochastic information structure, SIAM journal on optimization, Vol. 22, No. 1, 2012

  13. C. Cervellera, M. Gaggero, D. Macciò

    Efficient Kernel Models for Learning and Approximate Minimization Problems, Neurocomputing, vol. 97, pp. 74-85, 2012

  14. A. Alessandri; M. Baglietto; G. Battistelli; M. Gaggero

    Moving-horizon state estimation for nonlinear systems using neural networks, IEEE transactions on neural networks, Vo. 22, No. 5, pp. 768-780, 2011

  15. A. Alessandri; M. Gaggero; F. Tonelli

    Min-max and predictive control for the management of distribution in supply chains, IEEE transactions on control systems technology, Vol. 19, No. 5, 1075-1089, 2011

  16. M. Parodi; M. Gaggero; M. Storace

    Piecewise linear approximations of multivariate functions: A multiresolution-based compression algorithm suitable for circuit implementation, Applied numerical mathematics, Vol. 60, No. 9, pp. 924-933, 2010

  17. A. Alessandri, C. Cervellera, M. Cuneo, M. Gaggero and G. Soncin

    Management of logistics operations in intermodal terminals by using dynamic modelling and nonlinear programming, Maritime Economics & Logistics, vol. 11, no.1, pp. 58-76, 2009

  18. A. Alessandri; R. Bolla; M. Gaggero; M. Repetto

    Modeling and identification of nonlinear dynamics for freeway traffic by using information from a mobile cellular network, IEEE Transactions on control systems technology, Vol. 17, No. 5, pp. 952-959, 2009

CONFERENCE PUBLICATIONS

  1. A. Alessandri; M. Gaggero

    Moving horizon state estimation for constrained discrete-time systems by using fast descent methods, Proceedings of the IEEE Conference on Decision & Control, 12-15 December 2017, Melbourne (Australia)

  2. A. Alessandri; P. Bagnerini; M. Gaggero

    Parameter identification of the normal flow equation by using adaptive estimation, Proceedings of the American Control Conference, Seattle (USA), 24-26 May 2017

  3. A. Alessandri; M. Gaggero

    Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods, Proceedings of the IEEE Conference on Decision & Control, Las Vegas, December 12-14, 2016

  4. A. Alessandri; P. Bagnerini; M. Gaggero

    Extended Kalman filtering to design optimal controllers of fronts generated by level set methods, Proceedings of the IEEE Conference on Decision & Control, Las Vegas (USA), December 12-14, 2016

  5. A. Alessandri, P. Bagnerini, M. Gaggero, A. Traverso

    Further results on the optimal control of fronts generated by level set methods, Proceedings of the American Control Conference, Boston (USA), July 6-8, 2016

  6. Mauro Gaggero, Luca Caviglione

    Model predictive control for the placement of virtual Machines in cloud computing applications, Proceedings of the American Control Conference, Boston(USA), 6-8 July 2016

  7. D. Di Paola, M. Gaggero, A. Petitti, L. Caviglione

    Optimal control of time instants for task replanning in robotic networks, Proceedings of the American Control Conference, Boston (USA), 6-8 July 2016

  8. M. Gaggero; F. Tonelli

    Optimal control of distribution chains for perishable goods, 2015 IFAC Symposium on Information Control in Manufacturing (INCOM 2015), Ottawa, Canada

  9. C. Cervellera; M. Gaggero; D. Macciò; R. Marcialis

    Lattice point sets for efficient kernel smoothing models, International Joint Conference on Neural Networks (IJCNN2015), Killarney, Ireland, 2015

  10. C. Cervellera; M. Gaggero; D. Maccio; R. Marcialis

    Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming, International Joint Conference on Neural Networks (IJCNN2015), Killarney, Ireland, 2015

  11. N. P. Bianchi; C. Cervellera; M. Gaggero; R. Marcialis; M. Penco; F. Sozzi

    Group Model Building and Computational Intelligence Tools for Stakeholder Engagement and Deliberative Processes, Proceedings of the Business Systems Laboratory 3rd International Symposium "Advances in Business Management. Towards Systemic Approach", 21-23 January 2015, Perugia, Italy

  12. A. Alessandri; M. Gaggero; F. Tonelli

    "Robust predictive control for the management of multi-echelon distribution chains", 53rd IEEE Conference on Decision and Control, Los Angeles (USA), 15-17 December 2014

  13. M. Gaggero; L. Caviglione

    (2014) "A predictive control approach for energy-aware consolidation of virtual machines in cloud computing", 53rd IEEE Conference on Decision and Control, Los Angeles (USA), 15-17 Dec 2014

  14. Cervellera C.; Gaggero M.; Maccio D.; Marcialis R.

    (2014) "An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models", IEEE International Joint Conference on Neural Network proceedings, Beijing, July 6-11, 2014

  15. Cervellera C.; Gaggero M.; Maccio D.

    (2014) "An analysis based on F-discrepancy for sampling in regression tree learning", IEEE International Joint Conference on Neural Network proceedings, Beijing, China, July 6-11, 2014

  16. Cervellera C.; Gaggero M.; Maccio D.; Marcialis R.

    Lattice sampling for efficient learning with Nadaraya-Watson local models, Proceedings of the International Joint Conference on Neural Networks, Beijing, China, July 6-11, 2014

  17. A. Angelo; P. Bagnerini; M. Gaggero

    "Optimal control of level sets dynamics", Proceedings of the American Control Conference, Portland (USA), 4-6 June 2014

  18. A. Alessandri; P. Bagnerini; M. Gaggero

    "Optimal Control of PDE-based Systems by Using a Finite-Dimensional Approximation Scheme", American Control Conference, Washington (USA), 17-19 June 2013

  19. M. Gaggero; G. Gnecco; T. Parisini; M. Sanguineti; R. Zoppoli

    "Approximation Structures with Moderate Complexity in Functional Optimization and Dynamic Programming", 51st IEEE Conference on Decision and Control, Maui (USA), 10-13 December 2012

  20. A. Alessandri; M. Gaggero; F. Tonelli

    "Optimal and predictive control of distribution chains by using integer tree-based search and mixed-integer programming", 4th IFAC Nonlinear Model Predictive Control Conference, Noordwijkerhout (NL), 23-27 August 2012

  21. A. Alessandri; P. Bagnerini; M. Gaggero; M. Ghio; R. Martinelli

    "UAVs for urban security: a successful testbed for emergency support", 2nd Euro-Mediterranean Summit on New Technologies for Urban Security, Civil Protection and Sustainable Development, Genova (Italy), 2012

  22. A. Alessandri; P. Bagnerini; M. Gaggero; M. Ghio; R. Martinelli

    "Design specifications of an UAV for environmental monitoring, safety, video surveillance, and urban security", 1st Euro-Mediterranean Summit on New Technologies for Urban Security, Genova (Italy), 2011

  23. A. Alessandri; R. Cianci; M. Gaggero; R. Zoppoli

    "Approximate solution of feedback optimal control problems for distributed parameter systems", 8th IFAC Symposium on Nonlinear Control Systems, Bologna (Italy), 1-3 September 2010

  24. C. Cervellera; M. Cuneo; M. Gaggero; F. Tonelli

    "A decision support tool based on a queueing model for performance analysis and optimization of container terminals", 2010 Annual Conference of the International Association of Maritime Economists, Lisbon (Portugal), 7-9 July 2010

  25. C. Cervellera, M. Cuneo, M. Gaggero and F. Tonelli

    (2010) A model-based decision support tool for performance analysis and optimization of container terminals, in 2010 Annual Conference of the International Association of Maritime Economists, Lisbon, Portugal, Lisbon, Portugal

BOOK CHAPTERS

  1. L. Caviglione; M. Gaggero; J.-F. Lalande; W. Mazurczyk

    Understanding information hiding to secure communications and to prevent exfiltration of mobile data, Adaptive Mobile Computing: Advances in Processing Mobile Data Sets, ELSEVIER NY, 2017

  2. M. Gaggero, G. Gnecco, M. Sanguineti

    (2014) Suboptimal policies for stochastic N-stage optimization problems: accuracy analysis and a case study from optimal consumption, in Models and Methods in Economics and Management Science, International Series in Operations Research & Management Science, Volume 198, pp 27-50, Springer

  3. A. Alessandri; M. Gaggero; F. Tonelli

    "Integer tree-based search and mixed-integer optimal control of distribution chains", 50th IEEE Conference of Decision and Control, Orlando (USA), 12-15 December 2011

  4. A. Alessandri; C. Cervellera; M. Cuneo; M. Gaggero

    (2009) Nonlinear model predictive control for resource allocation in the management of intermodal container terminals, in Nonlinear Model Predictive Control - Towards new challenging applications, Lecture notes in control and information sciences, Vol. 384, Springer