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 systems, computational intelligence and adaptive algorithms.
Manuel Roveri is an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems and served as chair and member in many IEEE subcommittees.
- 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.
- 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.
- Lecture Technical Staff @ STMicroelectronics 19/09/2016
Public Lecture STM Technical Staff on “The (Smart) Cyber-physical Revolution: from theory to practice” at STMicroelectronics, Castelletto, ITALY, Sept. 19, 2016
- Tutorial and Panel @ 2nd International Forum on Research and Technologies for Society and Industry (RTSI 2016) 08/09/2016
Tutorial on “The (Smart) Cyber-physical Revolution: Challenges and Opportunities” and Panel on “Emerging Technologies, Challenges and Opportunities for Industry 4.0 (Chairs: Maurizio” at the 2nd International Forum on Research and Technologies for Society and Industry (RTSI 2016), Bologna, ITALY 7-9 Sept 2016. Link to the RTSI 2016 Web Site
- Tutorial @ WCCI16 “Learning in Nonstationary Environments” 19/07/2016
Tutorial on “Learning in Nonstationary Environments” at the IEEE World Congress on Computational Intelligence 2016, Vancouver CANADA 24-29 July 2016. Link to [Tutorial Web Page].