Carlo Novara

Carlo Novara's picture

Full Professor (L. 240)
Department of Electronics and Telecommunications (DET)

  • Member of Interdepartmental Center CARS@PoliTO - Center for Automotive Research and Sustainable Mobility

Profile

Research interests

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

Biography

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.

Scientific branch

IINF-04/A - Systems and Control Engineering
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

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

Teaching

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Other activities and projects related to teaching

* Dealing with uncertainty in data-based learning. A.A. 2022/23, POLITECNICO DI MILANO. Collaboratore del corso.

Research

Research fields

Research groups

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

View moreView less

Supervised PhD students

  • Lucrezia Lovaglio. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40th cycle, 2024-in progress)
  • Giovanni Marinello. Programme in Energetica (40th cycle, 2024-in progress)
  • Francesco Cerrito. Programme in Ingegneria Informatica E Dei Sistemi (39th cycle, 2023-in progress)
    Research subject: Innovative Automated Driving functional architecture based on APF/MPC approaches for new sustainable mobility systems
    Controls and system engineering
    Controls and system engineering
    Controls and system engineering
  • Sabrina Savino. Programme in Intelligenza Artificiale (39th cycle, 2023-in progress)
  • Cesare Donati. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
    Research subject: A structured approach to multi-step and physics-based system identification
    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
    Big Data, Machine Learning, Neural Networks and Data Science
    Mechatronics and robotics
    Systems, Automation and Control
  • Mattia Boggio. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Real-time Nonlinear Model Predictive Control: Efficient Methods for Domain Reduction
    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
More PhD studentsLess PhD students

Other activities and projects related to research

* NEWCONTROL Project, H2020-ECSEL-2018-2-RIA-two stage-1. C. Novara is a participant and the “technical coordinator” of the Polito research unit. https://www.newcontrol-project.eu

Publications

PoliTO co-authors

Last years publications

Publications by type

Last years publications View all publications in Porto@Iris

More publicationsLess publications

Society and Enterprise

Patents and other intellectual properties