Riccardo Satta

Riccardo Satta

Research fellow
Address

Department of Electrical and Electronic Engineering, Pad. B

University of Cagliari

Piazza d'Armi

09123 Cagliari

Phone
-
Fax
-
Email
riccardo.satta(at)diee.unica.it
Personal Web Page
http://www.flickr.com/photos/endemico - http://stileonline.altervista.org


Curriculum Vitae

Riccardo Satta received the M.Sc. degree with honors in Electronic Engineering in Oct. 2007, from the University of Cagliari, Italy. In April 2013 he received the Ph.D. degree in Computer Science from the same university, defending a thesis on dissimilarity-based representations for Intelligent Video Surveillance and in particular for person re-identification and appearance-based people search.

Since 2008 he collaborates with the Pattern Recognition and Applications Lab, where he is currently  a research fellow,

From March 2008 to Feb. 2009 he worked as software engineer at SardegnaIT srl. From March 2009 to March 2013 he covered the role of ICT functionary at the General Directorate for General Affairs and Information Society of the Autonomous Region of Sardinia. He was involved in the definition, planning, implementation and management of local administration's IT projects, mainly focusing on e-government and e-inclusion projects.

From July 2012 to August 2012 he visited the Performance Computing and Visualisation group of the University of Warwick, UK, under a grant covered by a project on multimedia forensics funded by the Royal Society. He is currently a research fellow of the same project.

From March 2013 he is a scientific officer at the European Commission - Joint Research Centre, Institute for the Protection and Security of the Citizen.

He is member of the Group of Italian Researchers in Pattern Recognition (GIRPR), affiliated to the International Association for Pattern Recognition (IAPR).

  

LinkedIn page: http://it.linkedin.com/pub/riccardo-satta/9/A4B/4BA

 


Research Interests

His research activities are focused on pattern recognition and computer vision techniques for security issues and multimedia document categorisation. In particular:

  • person re-identification and attribute-based people search in multiple-camera video surveillance scenarios;
  • multi-modal soft-biometrics;
  • multimedia forensics;
  • automatic categorisation of personal photos;
  • filtering tecniques for image-based spam.

Publications