Home

Manuel Roveri received the Dr.Eng. degree in Computer Science Engineering from the Politecnico di Milano (Milano, Italy) in June 2003, the MS in Computer Science from the University of Illinois at Chicago (Chicago, Illinois, U.S.A.) in December 2003 and the Ph.D. degree in Computer Engineering from Politecnico di Milano (Milano, Italy) in May 2007.
Currently, he is an Associate Professor at the Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano. His research interests include intelligent embedded and cyber-physical systems, computational intelligence and adaptive algorithms.

Manuel Roveri is an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems. He is also Chair of the IEEE CIS Neural Networks Technical Committee (NNTC) and of the IEEE CIS Pre-College Activities Subcommittee and member of the IEEE CIS Smart World TC, IEEE CIS Data Mining and Big Data Analytics TC, IEEE CIS Student Activities Subcommittee and IEEE CIS Senior Members Program. He served as Chair of the IEEE CIS Student Activities Subcommittee and of the Conference Travel Grants.


Latest News

  • Chair of the IEEE CIS Neural Networks Technical Committee in 2017 15/03/2017

    Manuel Roveri has been appointed as Chair of the Neural Networks Technical Committee of the IEEE Computational Intelligence Society in 2017. Link

  • Publication Chair at IEEE WCCI 2018 16/01/2017

    Manuel Roveri is the Publication Chair of the 2018 IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (IEEE WWCI 2018), Rio de Janeiro, Brazil, 2018.

  • Talk @ Workshop “Internet of Things: la prospettiva tecnologica” 14/12/2016

    Talk “Internet of Smart Things” at the Workshop “Internet of Things: la prospettiva tecnologica” organized by the Osservatorio Internet of Things – Politecnico di Milano, December 14, 2016 – Milano (Italy)

  • Talk @ Guide Italia Executive Meeting 2016 16/11/2016

    Talk on “Internet-delle-Cose Intelligenti: Sogno o son desto?” at the event “IoT e Artificial Intelligence guidano la trasformazione digitale” organized by Guide Share Europe – Italia Executive Meeting, November 16, 2016, Milano (Italy).

  • Best Regular Paper Award at INNS Big Data 2016 25/10/2016

    The paper “Designing HMM Models in the Age of Big Data” by C. Alippi, S. Ntalampiras and M. Roveri received the  Best Regular Paper Award at the INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece, 2016.