Simone Garatti (Dr.)

Politecnico di Milano - DEI
P.zza L. da Vinci 32, 20133 - Milano

Tel. +39 - 02 - 2399 - 3650
Fax +39 - 02 - 2399 - 3412



CURRICULUM VITAE.pdf (in English)


Simone Garatti is currently Associate Professor in the Automatic Control area (SSD ING-INF/04) at the Dipartimento di Elettronica ed Informazione of the Politecnico di Milano.  He was born in Brescia, Italy, in 1976. In 2000, he received the Laurea degree cum laude in Computer Science Engineering from the Politecnico di Milano and in 2004 he received the Ph.D. cum laude in Information Technology Engineering from the Politecnico di Milano. In 2004, he was a research fellow at the Dipartimento di Elettronica ed Informazione of the Politecnico di Milano. He has been assistant professor within the same department since 2005. During his career, Simone Garatti has been visiting scholar at some prestigious foreign universities. Precisely, in 2003 he visited the Lund University of Technology, Lund, Sweden, while in 2006 he won a fellowship for the short-term mobility of researchers from the National Research Council of Italy (CNR) and he spent some months at the University of California San Diego (UCSD), San Diego, CA, USA. Finally, in 2007 he was invited for a short-term visit at the Massachusetts Institute of Technology and the Northeastern University, Boston, MA, USA, during which he gave some invited lectures on his research topics. His research interests include system identification and model quality assessment, identification of interval predictor models, randomized optimization for problems in systems and control. He is the co-author of about 50 contributions on international journals, international books, and proceedings of international conferences.


- new book on Scenario Optimization (M.C. Campi, S. Garatti, Introduction to the scenario approach, SIAM, 2018)

- 2019 EECI-IGSC gradute course on Scenario Optimization - early registration opened until December 31, 2018

    Module: M05 - Instanbul - 04/02/2019-08/02/2018

    Title: The Scenario Approach: Making Decisions in an Uncertain World (Systems, Control, Machine Learning)

    Instructors: M.C. Campi, S. Garatti