MODEL COMPLEXITY, REGULARIZATION AND SPARSITY IEEE CIM, NOVEMBER ISSUE
             
  IEEE CIM SPECIAL ISSUE ON
“MODEL COMPLEXITY:
REGULARIZATION AND SPARSITY”
             
Organizers


Cesare Alippi, Politecnico di Milano, Milano, Italy.

received the degree (cum laude) in electronic engineering and the Ph.D. degree from the Politecnico di Milano, Milan, Italy, in 1990 and 1995, respectively. He is currently a Full Professor of information processing systems with the Politecnico di Milano. He has been a Visiting Researcher with University College London, U.K., Massachusetts Institute of Technology, United States, ESPCI, France, and CASIA, China. He has authored or co-authored about 200 papers in international journals and conference proceedings, and holds five patents. His current research interests include adaptation and learning in nonstationary environments and intelligent embedded systems.
Dr. Alippi was a recipient of the IEEE Instrumentation and Measurement Society Young Engineer Award in 2004, the Knight of the Order of Merit of the Italian Republic in 2011. He is the Vice-President Education of the IEEE Computational Intelligence Society and an Associate Editor of the IEEE Computational Intelligence Magazine. He was an Associate Editor of the IEEE Transactions on Neural Networks, the IEEE Transactions on Instrumentation and Measurements from 2003 to 2009, and a member and the Chair of other IEEE committee.



Giacomo Boracchi, Politecnico di Milano, Italy

received the M.S. degree in Mathematics from the Università€ 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 & learning in dynamic environments” at IJCNN 2013, 2014 and 2015. He has published about 50 papers in international journals and conferences. In 2015 he has received an IBM Faculty award to support his research on anomaly-detection methods by sparse representations.

 


Brendt Wohlberg, Los Alamos National Laboratory, NM (USA)

received the BSc(Hons) degree in applied mathematics, and the MSc (Applied Science) and PhD degrees in electrical engineering from the University of Cape Town (UCT), South Africa, in 1990, 1993 and 1996 respectively. After graduating, he held postdoctoral research positions at UCT and thereafter at Los Alamos National Laboratory (LANL). He has been a technical staff member in the T-5 group at LANL since 2002.
His primary research focus during his initial few years at LANL was on image coding and wavelet filter banks. During this time he was a member of the U.S. technical committee on image coding standards, and contributed to extensions of the JPEG2000 coding standard. His current research interests include image restoration and related inverse problems, sparse representations, exemplar-based methods, and classification and detection problems. He is a Senior Member of the IEEE and was an Associate Editor for the IEEE Transactions on Image Processing from 2010 to 2014.