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Giuseppe De Nicolao

Giuseppe De Nicolao

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
11155
World Ranking
3812
National Ranking
104

Overview

Giuseppe De Nicolao is affiliated with the University of Pavia in Italy and specializes primarily in Engineering, with a focus on Control and Systems Engineering, Electrical and Electronic Engineering, and Modeling and Simulation. Their research spans several subfields and topics, highlighting involvement in interdisciplinary areas including Infectious Diseases, Artificial Intelligence, and epidemiological modeling.

The scientist has contributed extensively to research on COVID-19 epidemiological studies and SARS-CoV-2-related work. Their scientific interests are reflected in areas such as Energy Load and Power Forecasting, Control Systems and Identification, Fault Detection and Control Systems, Statistical and Numerical Algorithms, and Opinion Dynamics and Social Influence.

Recent papers authored or co-authored by Giuseppe De Nicolao include:

  • Modeling vaccination rollouts, SARS-CoV-2 variants and the requirement for non-pharmaceutical interventions in Italy, 2021, Nature Medicine
  • Endpoints and design of clinical trials in patients with decompensated cirrhosis: Position paper of the LiverHope Consortium, 2020, Journal of Hepatology
  • Opinion Dynamics in Social Networks: The Effect of Centralized Interaction Tuning on Emerging Behaviors, 2020, IEEE Transactions on Computational Social Systems
  • Identification of AC Distribution Networks With Recursive Least Squares and Optimal Design of Experiment, 2021, IEEE Transactions on Control Systems Technology
  • Diabetes-associated genetic variation in TCF7L2 alters pulsatile insulin secretion in humans, 2020, JCI Insight

Frequent co-authors in their body of work include:

  • Paolo Bolzern
  • Patrizio Colaneri
  • Tianshi Chen
  • Alessandro Chiuso
  • Lennart Ljung

The scientist has published numerous articles in notable venues, with recurring contributions to arXiv (Cornell University), Epidemiology Biostatistics and Public Health, Automatica, International Journal of Oil Gas and Coal Technology, and Advanced Sensor Research.

In addition to journal articles, Giuseppe De Nicolao has authored works within the Communications and Control Engineering series, notably the book "Regularized System Identification" published in 2022.

Best Publications

  • Survey Kernel methods in system identification, machine learning and function estimation: A survey

    Gianluigi Pillonetto;Francesco Dinuzzo;Tianshi Chen;Giuseppe De Nicolao

  • A new kernel-based approach for linear system identification

    Gianluigi Pillonetto;Giuseppe De Nicolao

  • A stabilizing model-based predictive control algorithm for nonlinear systems

    L. Magni;G.De Nicolao;L. Magnani;R. Scattolini

  • Model predictive control of type 1 diabetes: an in silico trial.

    Lalo Magni;Davide M. Raimondo;Luca Bossi;Chiara Dalla Man

  • Fully Integrated Artificial Pancreas in Type 1 Diabetes: Modular Closed-Loop Glucose Control Maintains Near Normoglycemia

    Marc Breton;Anne Farret;Daniela Bruttomesso;Stacey Anderson

  • Stabilizing receding-horizon control of nonlinear time-varying systems

    G. De Nicolao;L. Magni;R. Scattolini

  • Brief paper: Markov Jump Linear Systems with switching transition rates: Mean square stability with dwell-time

    Paolo Bolzern;Patrizio Colaneri;Giuseppe De Nicolao

  • Robust model predictive control for nonlinear discrete-time systems

    L. Magni;G. De Nicolao;R. Scattolini;F. Allgöwer

  • Nonparametric input estimation in physiological systems: problems, methods, and case studies

    Giuseppe de Nicolao;Giovanni Sparacino;Claudio Cobelli

  • Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results.

    Boris Kovatchev;Claudio Cobelli;Eric Renard;Stacey Anderson

  • Stochastic stability of Positive Markov Jump Linear Systems

    Paolo Bolzern;Patrizio Colaneri;Giuseppe De Nicolao

  • Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis.

    Lalo Magni;Davide M. Raimondo;Chiara Dalla Man;Marc Breton

  • Prediction error identification of linear systems: A nonparametric Gaussian regression approach

    Gianluigi Pillonetto;Alessandro Chiuso;Giuseppe De Nicolao

  • Modular Closed-Loop Control of Diabetes

    S. D. Patek;L. Magni;E. Dassau;C. Hughes-Karvetski

  • Stability and Robustness of Nonlinear Receding Horizon Control

    G. De Nicolao;L. Magni;R. Scattolini

  • Model predictive control of glucose concentration in type I diabetic patients: An in silico trial

    L. Magni;D.M. Raimondo;C. Dalla Man;G. De Nicolao

  • The Periodic Riccati Equation

    Sergio Bittanti;Patrizio Colaneri;Giuseppe De Nicolao

  • The difference periodic Ricati equation for the periodic prediction problem

    S. Bittanti;P. Colaneri;G. De Nicolao

  • Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration

    C. Zecchin;A. Facchinetti;G. Sparacino;G. De Nicolao

  • Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier

    Daniela Bruttomesso;Anne Farret;Silvana Costa;Maria Cristina Marescotti

  • Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment.

    Giulia Giordano;Marta Colaneri;Alessandro Di Filippo;Franco Blanchini

Frequent Co-Authors

Patrizio Colaneri
Patrizio Colaneri Polytechnic University of Milan
Claudio Cobelli
Claudio Cobelli University of Padua
Lalo Magni
Lalo Magni University of Pavia
Gianluigi Pillonetto
Gianluigi Pillonetto University of Padua
Riccardo Bellazzi
Riccardo Bellazzi University of Pavia
Angelo Avogaro
Angelo Avogaro University of Padua
Giovanni Sparacino
Giovanni Sparacino University of Padua
Francis J. Doyle
Francis J. Doyle Brown University
Alessandro Chiuso
Alessandro Chiuso University of Padua
Sergio Bittanti
Sergio Bittanti Polytechnic University of Milan

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