Antonio M. Sudoso

I am an Assistant Professor in the Department of Computer, Control and Management Engineering ā€œAntonio Rubertiā€ (DIAG) of Sapienza University of Rome and a Research Associate at the Institute for Systems Analysis and Computer Science ā€œAntonio Rubertiā€ (IASI) of the Italian National Research Council (CNR). I hold a PhD degree in Computer Science, Control and Geoinformation from University of Rome Tor Vergata.

My main research topics include:

  • Optimization models and exact algorithms for machine learning problems
  • Optimization methods for analyzing and forecasting large collections of time series
  • Application of operations research to sustainable environmental management

Contact Information

Dipartimento di Ingegneria Informatica Automatica e Gestionale ā€œAntonio Rubertiā€
Sapienza UniversitĆ  di Roma
Via Ariosto 25, 00185 Roma, Italia
antoniomaria.sudoso (at) uniroma1.it

Latest Articles

  1. JOURNAL
    Optimization meets machine learning: an exact algorithm for semi-supervised support vector machines
    Piccialli, V., Schwiddessen, J., and Sudoso, A. M.
    Mathematical Programming, 2024
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  2. JOURNAL
    A Semidefinite Programming-Based Branch-and-Cut Algorithm for Biclustering
    Sudoso, A. M.
    INFORMS Journal on Computing, 2024
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  3. JOURNAL
    Fix and bound: an efficient approach for solving large-scale quadratic programming problems with box constraints
    Locatelli, M., Piccialli, V., and Sudoso, A. M.
    Mathematical Programming Computation, 2024
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  4. PREPRINT
    A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering
    Sudoso, A. M., and Aloise, D.
    arXiv, 2024
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  5. PREPRINT
    Optimizing accuracy and diversity: a multi-task approach to forecast combinations
    Felici, G., and Sudoso, A. M.
    arXiv, 2023
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