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.
- 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].
- Talk @ Technology Hub 20/06/2016
Talk on “Sfide ed opportunità del mondo cyber-fisico” at Technology Hub – Elettronica e IoT Hub, Milano (Italy), June 7, 2016
- Seminar and Demo in ST 19/11/2015
Seminar and Demo on “Intelligent Cyber-Physical Systems based on self-adaptive heterogeneous sensor technological platform” at STMicroelectronics, Agrate (Italy), Nov. 19, 2015
- New book chapter in “in Data Management in Pervasive Systems” 27/10/2015
The book chapter “Sensors and Wireless Sensor Networks as data sources: models and languages”, by A. Schreiber and M. Roveri, has been published in Data Management in Pervasive Systems – Springer Cham, Heidelberg, pp.69-92. Link to the book web site
- IEEE Computational Intelligence Magazine 01/10/2015
The paper “Learning in Nonstationary Environments: a Survey”, by G. Ditzler, M. Roveri, C. Alippi, R. Polikar has been published in IEEE Computational Intelligence Magazine, Vol. 10, November 2015. Link to the paper.