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Manuel Roveri received the Dr. Eng. degree in Computer Science Engineering from the Politecnico di Milano (Italy) in June 2003, the MS in Computer Science from the University of Illinois at Chicago (USA) in December 2003 and the Ph.D. degree in Computer Engineering from the Politecnico di Milano (Italy) in May 2007. He has been Visiting Researcher at Imperial College London (UK) in 2011. Currently, he is an Associate Professor at the Department of Electronics and Information of the Politecnico di Milano (Italy).
Current research activity addresses Machine/Deep learning for Internet-of-Things systems, learning in nonstationary/evolving environments and intelligent embedded and cyber-physical systems.

Manuel Roveri is a Senior Member of IEEE and an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems. He served as Chair of the Neural Networks Technical Committee and Chair of the Task Force on Intelligent Cyber-Physical Systems of the IEEE Computational Intelligent Society. He also served as a Chair and Member in several IEEE subcommittees.

He is the recipient of the 2018 IEEE Computational Intelligence Magazine “Outstanding Paper Award”, of the 2016 IEEE IEEE Computational Intelligence Society “Outstanding Transactions on Neural Networks and Learning Systems Paper Award” and the Best Regular Paper Award at the INNS Conference on Big Data 2016.

 


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