Mirko Mazzoleni

Mirko Mazzoleni was born in Ponte San Pietro (BG), Italy, on 12th October 1989.

He received the Bachelor Degree in Computer Science Engineering in 2011 from University of Bergamo (Italy) and the Master Degree in Computer Science Engineering in 2014, with a thesis about algorithms for fault detection of electromechanical actuators in the aerospace environment. From February 2014 to August 2014 he worked in Same-Deutz Fahr, developing and testing software for the electronic control units of agricultural tractors. He obtained is Ph.D. in Engineering and Applied Sciences in March 2018 at University of Bergamo. He is currently assistant professor (RTD-B) at the same University. His main research interests regard the fields of system identification and fault diagnosis. Personal website: https://mirkomazzoleni.github.io/

Publications

2023

Robust data-driven design of a jamming detection filter for airborne electromechanical actuators
Boni P., Mazzoleni M., Previdi F.

2022

An agent-based model to assess large-scale COVID-19 vaccination campaigns for the Italian territory: The case study of Lombardy region
Cattaneo, A., Vitali, A., Mazzoleni, M., Previdi, F. Data-driven mixed-sensitivity control with automated weighting functions selection
Valceschini N., Mazzoleni M., Formentin S., Previdi F. Kernel-based system identification with manifold regularization: A Bayesian perspective
Mazzoleni, M., Chiuso, A., Scandella, M., Formentin, S., Previdi, F. Visualizing Classification Results: Confusion Star and Confusion Gear
A. Luque, M. Mazzoleni, A. Carrasco, A. Ferramosca

IEEE Access
Volume 10, Pages 1659 – 1677
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3137630

2021

Inertial load classification of low-cost electro-mechanical systems under dataset shift with fast end of line testing
N. Valceschini, M. Mazzoleni, F. Previdi

Engineering Applications of Artificial Intelligence, 2021
Volume 105, Issue 2, Pages 1231-1236,
ISSN: 0952-1976,
DOI: 10.1016/j.engappai.2021.104446

Electro-Mechanical Actuators for the More Electric Aircraft
M. Mazzoleni, G. Di Rito and F. Previdi

Advances in Industrial Control
Springer International Publishing
DOI: 10.1007/978-3-030-61799-8.
ISBN: 978-3-030-61799-8

Kernel-based identification of asymptotically stable continuous-time linear dynamical systems
M. Scandella, M. Mazzoleni, S. Formentin, F. Previdi

International Journal of Control
DOI: 10.1080/00207179.2020.1868580

2020

Data on the first endurance activity of a Brushless DC motor for aerospace applications
M. Mazzoleni, M. Scandella, F. Previdi

Elsevier Data in Brief
DOI: 10.1016/j.dib.2020.105153.
ISSN: 2352-3409, vol. 29.

Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach
M. Mazzoleni, M. Scandella, S. Formentin, F. Previdi

2nd Learning for Dynamic and Control (L4DC) conference, June 10-11th, 2020, University of California, Berkeley, CA.

KBERG: A MatLab toolbox for nonlinear kernel-based regularization and system identification
M. Mazzoleni, M. Scandella, F. Previdi

21st IFAC World Congress, Berlin, Germany, July 12-17, 2020
Volume 53, Issue 2, Pages 1231-1236,
ISSN: 2405-8963,
DOI: 10.1016/j.ifacol.2020.12.1340.

Mechatronics applications of condition monitoring using a statistical change detection method
M. Mazzoleni, M. Scandella, L. Maurelli, F. Previdi

21st IFAC World Congress, Berlin, Germany, July 12-17, 2020
Volume 53, Issue 2, Pages 92-97,
ISSN: 2405-8963,
DOI: 10.1016/j.ifacol.2020.12.100.

Identification of dynamic textures using Dynamic Mode Decomposition
D. Previtali, N. Valceschini, M. Mazzoleni, F. Previdi

21st IFAC World Congress, Berlin, Germany, July 12-17, 2020
Volume 53, Issue 2, Pages 2423-2428,
ISSN: 2405-8963,
DOI: 10.1016/j.ifacol.2020.12.045.

Enhanced kernels for nonparametric identification of a class of nonlinear systems
M. Mazzoleni, M. Scandella, S. Formentin, F. Previdi

18th EUCA European Control Conference (ECC)
DOI: 10.23919/ECC51009.2020.9143785
ISBN: 978-1-7281-8813-3

A note on the numerical solutions of kernel-based learning problems
M. Scandella, M. Mazzoleni, S. Formentin, F. Previdi

IEEE Transactions on Automatic Control, 2020
Print ISSN: 0018-9286
Online ISSN: 1558-2523
DOI: 10.1109/TAC.2020.2989769

2019

A comparison of manifold regularization approaches for kernel-based system identification
M. Mazzoleni, M. Scandella, F. Previdi

13th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2019), Guildhall Winchester, Winchester, United Kingdom.
DOI: 10.1016/j.ifacol.2019.12.641
ISSN: 2405-8963

Experimental development of a Health Monitoring method for Electro-Mechanical Actuators of flight control primary surfaces in More Electric Aircrafts
M. Mazzoleni, F. Previdi, M. Scandella, G. Pispola

IEEE Access, Vol. 7, N. 1, pp. 153618 – 153634, 2019
DOI https://10.1109/ACCESS.2019.2948781
ISSN: 2169-3536

Nonlinear system identification via data augmentation
S. Formentin, M. Mazzoleni, M. Scandella, F. Previdi

Systems & Control Letters, Vol. 128 (2019) pp. 56–63.
DOI: https://doi.org/10.1016/j.sysconle.2019.04.004
ISSN: 0167-6911

2018

Classification of light charged particles via learning-based system identification
M. Mazzoleni, M. Scandella, S. Formentin, F. Previdi

57th IEEE Conference on Decision and Control (CDC), Miami Beach (FL), USA, 2018.
DOI: 10.1109/CDC.2018.8618946
ISBN: 978-1-5386-1395-5.

Condition monitoring of electro-mechanical actuators for aerospace using batch change detection algorithms
M. Mazzoleni, M. Scandella, Y. Maccarana, F. Previdi, G. Pispola, N. Porzi

Proceedings of the 2nd IEEE Conference on Control Technology and Applications (CCTA), Copenhagen (DK)
DOI: 10.1109/CCTA.2018.8511334
ISBN: 978-1-5386-7698-1

Condition assessment of electro-mechanical actuators for aerospace using relative density-ratio estimation
M. Mazzoleni, M. Scandella, Y. Maccarana, F. Previdi, G. Pispola, N. Porzi

Proceedings of the 18th IFAC Symposium on System Identification (SYSID), Stockholm (SE)
DOI: 10.1016/j.ifacol.2018.09.070
ISSN: 2405-8963

Identification of nonlinear dynamical system with synthetic data: a preliminary investigation
M. Mazzoleni, M. Scandella, S. Formentin, F. Previdi

Proceedings of the 18th IFAC Symposium on System Identification (SYSID), Stockholm (SE)
DOI:  10.1016/j.ifacol.2018.09.227 
ISSN: 2405-8963

Development and Experimental Testing of a Health Monitoring System of Electro-Mechanical Actuators for Small Airplanes
F. Previdi, Y. Maccarana, M. Mazzoleni, M. Scandella, G. Pispola, N. Porzi

Proceedings of the 26th Mediterranean Conference on Control and Automation (MED), Zadar (HR)
DOI: 10.1109/MED.2018.8442734
ISSN: 2473-3504

Semi-supervised learning of dynamical systems: a preliminary study
M. Mazzoleni, S. Formentin, M. Scandella, F. Previdi

Proceedings of the 17th IEEE European Control Conference (ECC), Lymassol (CY)
DOI: 10.23919/ECC.2018.8550550
ISBN: 978-3-9524-2698-2

Kernel manifold regression for the coupled electric drives dataset
M. Mazzoleni, M. Scandella, F. Previdi

3rd Nonlinear System Identification Benchmarks Workshop, Liege (BE)

2017

Unsupervised learning of fundamental emotional states via word embeddings
M. Mazzoleni, G. Maroni and F. Previdi

Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, Hawaii (USA)
DOI: 10.1109/SSCI.2017.8280819
ISBN: 978-1-5386-2726-6.

Control-oriented modeling of SKU-level demand in retail food market
Mazzoleni M., S. Formentin, F. Previdi, S. M. Savaresi

Proceedings of the 20th IFAC World Congress, Toulouse (FRA), 2017, IFAC PapersOnLine 50-1, pp. 13003–13008.
DOI: 10.1016/j.ifacol.2017.08.1951
ISSN: 2405-8963

Fault detection in airliner electro-mechanical actuators via hybrid particle filtering
Mazzoleni M., G. Maroni, Y. Maccarana, S. Formentin, F. Previdi

Proceedings of the 20th IFAC World Congress, Toulouse (FRA), 2017, IFAC PapersOnLine 50-1, pp. 2860-2865.
DOI: 10.1016/j.ifacol.2017.08.640.
ISSN: 2405-8963

A comparison of data-driven fault detection methods with application to aerospace electro-mechanical actuators
M. Mazzoleni, Y. Maccarana, F. Previdi

Proceedings of the 20th IFAC World Congress, Toulouse (FRA), 2017, IFAC PapersOnLine 50-1, pp. 12797–12802.
DOI: 10.1016/j.ifacol.2017.08.1837.
ISSN: 2405-8963

Development of a reliable electro-mechanical actuator for primary control surfaces in small aircrafts
M. Mazzoleni, Y. Maccarana, F. Previdi

Proceedings of the 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Munich (GER), 2017, pp. 1142-1147.
DOI: 10.1109/AIM.2017.8014172
ISBN: 978-1-5090-6000-9

Classification algorithms analysis for brain-computer interface in drug craving therapy
M. Mazzoleni, F. Previdi, S. Bonfiglio

Biomedical Signal Processing and Control, 2017, in press.
DOI: http://dx.doi.org/10.1016/j.bspc.2017.01.011
ISSN: 1746-8094

2016

Low Computational Complexity Control of a Three-Phases Open-Windings AC Brushless Motor
A.L. Cologni, M. Mazzoleni, F. Previdi

Proceedings of the 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON, 2016, Firenze (ITA), pp. 335-340
DOI: 10.1109/IECON.2016.7793011
ISBN:978-1-5090-3474-1

An application of the remote maintenance paradigm to semi-automated machines
Previdi F., Mazzoleni M., Cologni A.L., Ermidoro M.

14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety

Modeling and identification of an Electro-Hydraulic Actuator
Cologni, A. L., M. Mazzoleni, F. Previdi

Proceedings of 12th IEEE International Conference on Control and Automation (ICCA), 2016

2015

A Comparison of Classification Algorithms for Brain Computer Interface in Drug Craving Treatment
Mazzoleni M., F. Previdi

Proceedings of the 9th IFAC Symposium on Biological and Medical Systems – BMS, 2015, Berlin (GER), pp. 487-492,
ISBN:2405-8963,
DOI:10.1016/j.ifacol.2015.10.188.

2014

Fault detection via modified Principal Direction Divisive Partitioning and application to aerospace electro-mechanical actuators
Mazzoleni M., S. Formentin, F. Previdi, S.M. Savaresi

Proceedings of the 2014 IEEE Conference on Decision and Control, Los Angeles (USA), pp. 5770-5775,
ISBN: 978-1-4673-6088-3.