Carlo Novara

Professore Ordinario (L.240)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Profilo

Interessi di ricerca

Aerospace control systems
Autonomous and assisted vehicles
Biomedical engineering
Design of experiments
Energy system control and optimization
Model predictive control
Modeling and simulation, set membership estimation, statistical analysis, system identification, machine learnng, complex networks and systems.
Prediction and estimation
Quantum optimization

Biografia

Carlo Novara received the Laurea degree in Physics from Universitá di Torino (Italy) in 1996 and the PhD degree in Computer and System Engineering from Politecnico di Torino (Italy) in 2002. He held a visiting researcher position at University of California at Berkeley in 2001 and 2004. He is currently a Full Professor at Politecnico di Torino (Italy). He is the author or co-author of about 180 scientific per-reviewed publications in international journals and conferences. He has been involved in several national and international projects and in several research contracts in collaboration with Italian and European companies. He is the co-author of several patents in the automotive field. He is a member of the IEEE TC on System Identification and Adaptive Control, of the IFAC TC on Modelling, Identification and Signal Processing, and a founding member of the IEEE-CSS TC on Medical and Healthcare Systems. His research interests include nonlinear and LPV system identification, filtering/estimation, time series prediction, nonlinear control, predictive control, data-driven methods, set membership methods, sparse methods, nonlinear optimization, and automotive, aerospace, biomedical and energy applications.

Settore scientifico discliplinare

ING-INF/04 - AUTOMATICA
(Area 0009 - Ingegneria industriale e dell'informazione)

Competenze

Settori ERC

PE7_1 - Control engineering
PE1_19 - Control theory and optimisation

SDG

Goal 7: Affordable and clean energy
Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable cities and communities
Goal 13: Climate action

Didattica

Collegi dei Corsi di Studio

Insegnamenti

Dottorato di ricerca

MostraNascondi A.A. passati

Corso di laurea magistrale

MostraNascondi A.A. passati

Ricerca

Ambiti di ricerca

Gruppi di ricerca

Progetti di ricerca

Progetti finanziati da bandi competitivi

Progetti finanziati da contratti commerciali

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Dottorandi

  • Cesare Donati. Corso in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 38, 2022-in corso)
    Argomento della ricerca: Structured, physics-based system learning for the identification of unknown dynamics
    Big Data, Machine Learning, Neural Networks and Data Science
    Mechatronics and robotics
    Systems, Automation and Control
    Big Data, Machine Learning, Neural Networks and Data Science
    Mechatronics and robotics
    Systems, Automation and Control
  • Mattia Boggio. Corso in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 36, 2020-in corso)
    Big Data, Machine Learning, Neural Networks and Data Science
    Mechatronics and robotics
    Systems, Automation and Control
    Big Data, Machine Learning, Neural Networks and Data Science
    Mechatronics and robotics
    Systems, Automation and Control
  • Michele Pagone. Corso in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 34, 2018-2022)
    Tesi: Nonlinear Model Predictive Control for Space Applications: optimal guidance and control systems for orbital transfer and rendezvous maneuvers.
    Mechatronics and robotics
    Systems, Automation and Control

Pubblicazioni

Coautori PoliTO

Pubblicazioni degli ultimi anni

Pubblicazioni per tipo

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Società e imprese

Brevetti e altre proprietà intellettuali