Manuel Roveri (Senior Member, IEEE) received the MS degree in computer science from the University of Illinois at Chicago, USA, and the Dr. Eng. degree in computer science engineering and the PhD degree in computer engineering from Politecnico di Milano, Italy. Currently, he is a Full Professor with the Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano, Italy. He served as chair and member in several IEEE committees and subcommittees and as Associated Editor of the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Computation Intelligence Magazine and Elsevier Neural Network. He holds one patent and has published more than 110 papers in international journals and conference proceedings.
He is the recipient of the 2018 IEEE Computational Intelligence Magazine “Outstanding Paper Award”, the 2016 IEEE IEEE Computational Intelligence Society “Outstanding Transactions on Neural Networks and Learning Systems Paper Award”, the Best Regular Paper Award at the INNS Conference on Big Data 2016 and the 2021 "Outstanding Associate Editor" of the IEEE Transactions on Emerging Topics in Computational Intelligence. His research interests include embedded and edge AI, intelligent embedded and cyber-physical systems, learning in presence of concept-drift and privacy-preserving machine and deep learning.