Stefano Cagnoni

Stefano Cagnoni, Associate Professor

E-mail: cagnoni((AT))CE.UniPR.IT

Tel: 0521/905731

Dipartimento di Ingegneria dell'Informazione
Università degli Studi di Parma
Parco Area delle Scienze 181/a
I-43100 Parma - Italy



Stefano Cagnoni graduated in Electronic Engineering at the University of Florence in 1988 where he has been a PhD student and a post-doc until 1997.
In 1994 he was a visiting scientist at the Whitaker College Biomedical Imaging and Computation Laboratory at the Massachusetts Institute of Technology.
Since 1997 he has been with the University of Parma, where he has been Associate Professor since 2004.

Recent research grants regard: co-management of a project funded by Italian Railway Network Society (RFI) aimed at developing an automatic inspection system for train pantographs; a "Marie Curie Initial Training Network" grant, for a four-year research training project in Medical Imaging using Bio-Inspired and Soft Computing; a grant from "Compagnia di S. Paolo" on "Bioinformatic and experimental dissection of the signalling pathways underlying dendritic spine function".

He has been Editor-in-chief of the "Journal of Artificial Evolution and Applications" from 2007 to 2010.
Since 1999, he has been chairman of EvoIASP, an event dedicated to evolutionary computation for image analysis and signal processing.
Since 2005, he has co-chaired MedGEC, workshop on medical applications of evolutionary computation at GECCO.

Co-editor of special issues of journals dedicated to Evolutionary Computation for Image Analysis and Signal Processing.
He has been reviewer for international journals and member of the committees of several conferences.
He is member of the Advisory Board of Perada, the UE Coordination Action on Pervasive Adaptation.
He has been recently awarded the "Evostar 2009 Award", in recognition of the most outstanding contribution to Evolutionary Computation. 
His main basic research interests concern soft computing, with particular regard to evolutionary computation, and computer vision.
As concerns applied research, the main topics of his research are the application of the above-mentioned techniques to problems in computer vision, pattern recognition and robotics, as well as the implementation of evolutionary computation techniques on graphic processors (GPUs).of Parma, where he is currently Associate Professor.





He takes part in the following project:

PAVISYS

Real-time object recognition

Hippocampus Localization in Brain Histological Images

Bio-Inspired Global Optimization

Sentiment Analysis


PEOPLE:


Stefano Cagnoni

Pablo Mesejo Santiago

Monica Mordonini

Roberto Ugolotti

Paolo Fornacciari

Andrea Prati