Welcome to the homepage of
Algo Carè

University of Brescia LOGO

Dept. of  Information Engineering
University of Brescia
via Branze, 38
25123 Brescia

e-mail: algo.care (at) gmail.com


Past Positions
Research Fellow at
The University of Melbourne
Department of Electrical and Electronic Engineering
Melbourne School of Engineering

ERCIM Fellow at


- Engineering and Management Intelligence Laboratory,
SZTAKI - Institute for Computer Science and Control,
MTA - Hungarian Academy of Sciences

ERCIM Fellow at

CWI logo

CWI - Centrum Wiskunde & Informatica
(National Research Institute for Mathematics and Computer  Science)


        Marco C. Campi - University of Brescia
        Simone Garatti - Politecnico di Milano
        Erik Weyer - University of Melbourne
        Balázs Csanád Csáji - SZTAKI
        Enrico Camporeale - CWI
        Fabio Baronio- University of Brescia



Selected Publications 
  1. A. Carè, S. Garatti, M.C. Campi.
    The wait-and-judge scenario approach applied to antenna array design,”
    Computational Management Science, [doi: 10.1007/s10287-019-00345-5], 2019

  2. A. Carè, F.A. Ramponi, M.C. Campi
    A new classification algorithm with guaranteed sensitivity and specificity for medical applications,”
     IEEE Control Systems Letters. 2(3):393-398 [doi: 10.1109/LCSYS.2018.2840427], 2018

  3. A. Carè, B.Cs. Csáji, M.C. Campi, E. Weyer
    Finite-Sample System Identification: An Overview and a New Correlation Method,” 
     IEEE Control Systems Letters. 2(1):61-66 [doi: 10.1109/LCSYS.2017.2720969], 2017

  4. A. Carè, S. Garatti, M.C. Campi,
    A Coverage Theory for Least Squares,”
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), online-first [doi: 10.1111/rssb.12219], 2016
    authors' self-archived copy (personal use),
    supplementary material

  5. A. Carè, S. Garatti, M.C. Campi,
    Scenario min-max optimization and the risk of empirical costs,”
    SIAM Journal on Optimization. 25(4):2061-2080, 2015
    *** Winner of the triennial Stochastic Programming Society Student Paper Prize 2016 (received during the XIV ICSP) ***

  6. A. Carè, S. Garatti, M.C. Campi,
    FAST-Fast Algorithm for the Scenario Technique,”
    Operations Research.  62(3):662-671. 2014

  7. M.C. Campi, A. Carè, 
    Random convex programs with L1-regularization: Sparsity and generalization,”
    SIAM Journal on Control and Optimization.  51(5):3532-3557. 2013
(see also my Google Scholar Profile)

Book Chapter

A. Carè, E. Camporeale (2018)
Regression, in Machine Learning Techniques for Space Weather (Elsevier)
[doi: 10.1016/B978-0-12-811788-0.00004-4]

Teaching (in Italian)

(A.A. 2018-2019) Sistemi dinamici incerti

Some presentations slides

14th International Conference on Stochastic Programming (Búzios, Brazil, 2016)
"Scenario Min-Max Optimization and the Risk of Empirical Costs" Slides

Ph.D. Thesis presentation (12 Marzo 2013)
"Data-Based Optimization for Applications to Decision-Making, Identification and Control - A Study of Coverage Properties" Slides (in Italian)
Link to the Ph.D. Thesis.

18th IFAC World Congress (Milan, Italy, 2011)
Presentation of the paper:
"FAST: an algorithm for the scenario approach with reduced sample complexity" Slides

S.I.D.R.A. Conference 2010 (L'Aquila, Italy,
13-15 September 2010)
Data-driven optimization through the scenario approach - Slides

Seminar (16 May 2012, 30 May 2011, 18 June 2009) - Master Thesis Presentation (26 March 2009)
Un nuovo algoritmo per costruzione di classificatori da dati sperimentali con errore di generalizzazione garantito - Slides (in Italian): 2009, 2011, 2012
Link to the Master Thesis


Slides of a short and definitely non-specialist talk on Cantor's theory of the infinite (2011).