Signal Processing - January 2017 - 7

Dr. Goyal's research interests include
computational imaging, human perception, decision making, sampling, quantization, and source coding theory. His
lecture topics include first-photon imaging and other extreme optical imaging,
social learning in decision-making
groups, teaching signal processing
with geometry, and the optimistic
Bayesian: replica method analysis of
compressed sensing.

Christine Guillemot
Christine Guillemot
holds a Ph.D. degree
from Ecole Nationale
Superieure des Telecommunications Paris.
She was with FRANCE
TELECOM, where she
was involved in various projects in the
area of coding for TV, high-definition
TV, and multimedia (November 1985 to
October 1997) and she worked at Bellcore, New Jersey, as a visiting scientist
(January 1990 to mid-1991). Since
November 1997, she has been the director of research at INRIA, as the head of
a research team dedicated to the design
of algorithms for the image and video
processing chain, with a focus on analysis, representation, compression, and
editing, including for emerging modalities such as high dynamic range imaging and light fields.
Dr. Guillemot has coauthored nine
book chapters, 65 publications in peerreviewed international journals (IEEE
Transactions on Signal Processing,
IEEE Transactions on Image Process-
ing, IEEE Transactions on Information
Theory, and IEEE Transactions on Cir-
cuits and Systems for Video Technology),
162 publications in international conferences [IEEE International Conference
on Acoustics, Speech, and Signal Processing (ICASSP), IEEE International
Conference on Image Processing, IEEE
International Workshop on Multimedia
Signal Processing (MMSP), and European Signal Processing Conference
(EUSIPCO)], and 24 granted patents.
Dr. Guillemot is an IEEE Fellow.
She has served as associate editor,
IEEE Transactions on Image Pro-
cessing (2000-2003 and 2014-2016);

associate editor, IEEE Transactions on
Circuits and Systems for Video Technol-
ogy (2004-2006); associate editor,
IEEE Transactions on Signal Process-
ing (2007-2009); associate editor, IEEE
Journal on Selected Topics in Signal
Processing (2013-2015); member,
IEEE Image and Multidimensional Signal Processing Technical Committee
(2001-2006); member, IEEE Multimedia Signal Processing Technical Committee (2005-2008); member, IEEE
Image, Video, and Multidimensional
Signal Processing Technical Committee
(2013-present); senior area editor,
IEEE Transactions on Image Process-
ing (2016-2017); and steering committee member, IEEE Transactions on
Multimedia (2016).
Over the past 20 years, Dr. Guillemot's research has focused on numerous
aspects of image and video processing:
modeling, representation, compression,
and communication. Her contributions
concern algorithms for image and video
analysis, representation, coding, communication, and for inverse problems such
as superresolution, inpainting, and restoration. Her lecture topics include sparsity
and dimensionality reduction in image
compression and superresolution; multiview and light fields processing: from
analysis, representation, compression to
rendering; and from image to video and
multiview inpainting.

Petros Maragos
Petros Maragos
received the M.Eng.
diploma in electrical
engineering from the
National Technical
University of Athens
(NTUA) in 1980 and
the M.Sc. and Ph.D. degrees from
Georgia Tech, Atlanta, in 1982 and
1985. In 1985, he joined the faculty of
the Division of Applied Sciences at
Harvard University, Cambridge, Massachusetts, where he worked for eight
years as professor of electrical engineering, affiliated with the Harvard
Robotics Lab. In 1993, he joined the
faculty of the School of Electrical and
Computer Engineering (ECE) at Georgia Tech, affiliated with its Center for
IEEE Signal Processing Magazine

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January 2017

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Signal and Image Processing. From
1996 to 1998, he had a joint appointment as director of research at the Institute of Language and Sp ee c h
Processing in Athens. Since 1999, he
has been working as a professor at the
NTUA School of ECE, where he is currently the director of the Intelligent
Robotics and Automation Lab. He has
held visiting scientist positions at the
Massachusetts Institute of Technology
in the fall of 2012 and at the University
of Pennsylvania in the fall of 2016.
Prof. Maragos served as associate
editor, IEEE Transactions on Acoustics,
Speech, and Signal Processing (1989-
1990); and IEEE Transactions on Pat-
tern Analysis and Machine Intelligence;
general chair, IEEE International Conference on Visual Communications and
Image Processing (1992); general chair,
International Symposium on Mathematical Morphology and Its Applications to Image/Signal Processing
(1996); general chair, MMSP (2007);
program chair, European Conference
on Computer Vision (2010); ECCV
Workshop on Sign, Gesture, and Activity (2010); Dagstuhl Symposia on Shape
(2011 and 2014); Intelligent Robots
and Systems Workshop on Cognitive
Mobility Assistance Robots (2015);
general chair, EUSIPCO (2017); member, SPS Digital Signal Processing
Technical Committee (1992-1998);
IEEE SPS Image and Multidimensional
Signal Processing Technical Committee (1995-1999); IEEE SPS Multimedia Signal Processing Technical
Committee (2009-2012); and member,
Greek National Council for Research
and Technology.
He is the recipient or corecipient of
several awards for his academic work,
including: U.S. NSF Presidential Young
Investigator Award (1987-1992); IEEE
SPS Young Author Best Paper Award
(1988), IEEE SPS Best Paper Award
(1994), IEEE W.R.G. Baker Prize
Award for the most outstanding original
paper (1995), Pattern Recognition Society's Honorable Mention Best Paper
Award (1996), and Best Paper Award,
Conference on Computer Vision and
Pattern Recognition-2011 Workshop on
Gesture Recognition.
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Table of Contents for the Digital Edition of Signal Processing - January 2017
