IEEE Geoscience and Remote Sensing Magazine - December 2015 - 49
Figure 9. Symposium Prize Paper Award recipients Gemine Vivone (left) and Jocelyn Chanussot with Society President Kamal Sarabandi.
the North Atlantic Treaty Organization (NATO) Science
& Technology Organization (STO) Centre for Maritime
Research and Experimentation (CMRE), La Spezia, Italy.
In 2014, he joined the NATO STO CMRE, La Spezia, Italy
as a Research Fellow. In 2013, he was as a Visiting Scholar
with Grenoble Institute of Technology (INPG), Grenoble,
France, where he is conducting his research at the Laboratoire Grenoblois de l'Image, de la Parole, du Signal et
de l'Automatique GIPSA-Lab. In 2012, he was a Visiting
Researcher with the NATO Undersea Research Centre,
La Spezia, Italy. His main research interests focus on statistical signal processing, detection of remotely sensed
images, data fusion, and tracking algorithms.
Dr. Vivone serves as a referee for IEEE Transactions on
Geoscience and Remote Sensing, IEEE Journal of Selected
Topics in Applied Earth Observations and Remote Sensing,
and IEEE Geoscience and Remote Sensing Letters.
Rocco Restaino (M'14) received the Laurea degree
in electronic engineering from the University of Naples,
Naples, Italy, in 1998 and the Ph.D. degree in information
engineering from the University of Salerno, Fisciano, Italy,
in 2002. He is currently an Assistant Professor with the
University of Salerno. His research interests include probability theory, stochastic geometry, and signal processing
for remote sensing and networking.
Giorgio A. Licciardi received the M.S. degree in telecommunication engineering and the Ph.D. degree in
"geoinformation" from the Tor Vergata University, Rome,
Italy, in 2005 and 2010, respectively. In 2010 he joined the
Laboratoire Grenoblois de l'Image, de la Parole, du Signal
et de l'Automatique (GIPSA-Lab) as a Postdoctoral Fellow.
His main research is focused on hyperspectral image processing, including feature extraction techniques, spectral
unmixing, super-resolution and pansharpening. From
2014 he is Ingénieur de recherché at the Grenoble Institute of Technology. He is also a European Space Agency
december 2015
ieee Geoscience and remote sensing magazine
Category-1 Principal Investigator for Earth observation
data. Dr. Licciardi serves as a Referee for several scientific
journals such as the IEEE Transactions on Geoscience
and Remote Sensing, the IEEE Geoscience and Remote
Sensing Letters, and IEEE Journal of Selected Topics in
Applied Earth Observations and Remote Sensing.
Mauro Dalla Mura (S'08 - M'11) received the laurea
(B.E.) and laurea specialistica (M.E.) degrees in Telecommunication Engineering from the University of Trento,
Italy, in 2005 and 2007, respectively. He obtained in 2011
a joint Ph.D. degree in Information and Communication
Technologies (Telecommunications Area) from the University of Trento, Italy, and in Electrical and Computer
Engineering from the University of Iceland, Iceland. In
2011 he was a Research Fellow at Fondazione Bruno Kessler, Trento, Italy, conducting research on computer vision.
He is currently an Assistant Professor at Grenoble Institute
of Technology (Grenoble INP), France. He is conducting
his research at the Grenoble Images Speech Signals and
Automatics Laboratory (GIPSA-Lab). His main research
activities are in the fields of remote sensing, image processing and pattern recognition. In particular, his interests include mathematical morphology, classification and
multivariate data analysis.
Dr. Dalla Mura was the recipient of the IEEE GRSS
Second Prize in the Student Paper Competition of the
2011 IEEE International Geoscience and Remote Sensing Symposium 2011 (Vancouver, Canada, July 2011).
He is a reviewer of IEEE Transactions on Geoscience
and Remote Sensing, IEEE Geoscience and Remote
Sensing Letters, IEEE Journal of Selected Topics in
Earth Observations and Remote Sensing, IEEE Journal
of Selected Topics in Signal Processing, Pattern Recognition Letters, ISPRS Journal of Photogrammetry and
Remote Sensing, and Photogrammetric Engineering
and Remote Sensing (PE&RS).
49
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