IntECS'16
             
  IntECS'16
TPC
             
Organizers

Cesare Alippi, Politecnico di Milano, Italy

Cesare Alippi received the degree in electronic engineering cum laude in 1990 and the PhD in 1995 from Politecnico di Milano, Italy. Currently, he is a Full Professor of information processing systems with the Politecnico di Milano. He has been a visiting researcher at UCL (UK), MIT (USA), ESPCI (F), CASIA (RC), USI (CH).
Alippi is an IEEE Fellow, Vice-President education of the IEEE Computational Intelligence Society (CIS), Associate editor (AE) of the IEEE Computational Intelligence Magazine, past AE of the IEEE-Tran. Neural Networks (2005-2012), IEEE-Trans Instrumentation and Measurements (2003-09) and member and chair of other IEEE committees including the IEEE Rosenblatt award.
In 2013 he received the IBM Faculty award; in 2004 the IEEE Instrumentation and Measurement Society Young Engineer Award; in 2011 has been awarded Knight of the Order of Merit of the Italian Republic. Current research activity addresses adaptation and learning in non-stationary environments and Intelligent embedded systems.



Giacomo Boracchi, Politecnico di Milano, Italy
received the M.S. degree in Mathematics from the Universitaƌ? Statale degli Studi di Milano, Italy, and the Ph.D. degree in Information Technology at Politecnico di Milano, Italy, in 2004 and 2008, respectively. He was researcher at Tampere International Center for Signal Processing, Finland, during 2004-2005.
Currently, he is an assistant professor at the Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano. His main research interests are learning methods for nonstationary environments, as well as mathematical and statistical methods for signal and image processing. He was co-chair of the "Symposium on Intelligent Embedded Systems" (IES 2014), and the "Symposium of Intelligence Cyber-physical and Embedded Systems" (IntECS 2015) part of IEEE SSCI, and co-organizer of the Special Session "Concept drift, domain adaptation and learning in dynamic environments" at IJCNN2014 and 2015. In 2015 he has received an IBM Faculty award to support his research on anomaly-detection methods by sparse representations.

Manuel Roveri, Politecnico di Milano, Italy
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 assistant professor at the Departent of Electroncis and Information 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.