Signal Processing - November 2017 - 13

signal propagates through the pipeline. By
treating component interfaces as hidden
variables, and training end to end, costs are
reduced and performance increases.
In summary, the extensive use of ma-
chine learning coupled with the avail-
ability of large-scale computing and very
large data sets have led to a significant
improvement across all areas of speech
and language processing. Ultimately,
however, the real challenge will concern
our ability to extract and manipulate the
underlying meaning of word sequences
and this is an area that has so far re-
mained rather elusive.

Authors
Yonina C. Eldar (yonina@ee.technion.
ac.il) is a professor in the Department of
Electrical Engineering at the Technion-
Israel Institute of Technology, Haifa,
where she holds the Edwards Chair in
Engineering. She is also an adjunct pro-
fessor at Duke University, Durham, North
Carolina, a research affiliate with the
Research Laboratory of Electronics at the
Massachusetts Institute of Technology,
and was a visiting professor at Stanford
University, California. She is a member of
the Israel Academy of Sciences and
Humanities and is a Fellow of the IEEE
and EURASIP. She has received many
awards for excellence in research and
teaching, including the IEEE Signal
Processing Society Technical Achie-
vement Award, the IEEE/AESS Fred
Nathanson Memorial Radar Award, the
IEEE Kiyo Tomiyasu Award, the Michael
Bruno Memorial Award from the
Rothschild Foundation, the Weizmann
Prize for Exact Sciences, and the Wolf
Foundation Krill Prize for Excellence in
Scientific Research. She is the editor-inChief of Foundations and Trends in
Signal Processing and serves the IEEE on
several technical and award committees.
Alfred O. Hero III (hero@eecs
.umich.edu) received the B.S. degree
(summa cum laude) from Boston
University in 1980 and the Ph.D. degree
from Princeton University in 1984, both
in electrical engineering. He is the John
H. Holland Distinguished University
Professor of Electrical Engineering and
Computer Science and the R. Jamison
and Betty Williams Professor of

Engineering at the University of
Michigan, Ann Arbor. He is also the codi-
rector of the university's Michigan
Institute for Data Science. He has ser-
ved as president of the IEEE Signal
Processing Society and as a member of
the IEEE Board of Directors. He has
received numerous awards for his scien-
tific research and service to the profes-
sion, including several best paper awards,
the IEEE Signal Processing Society
Technical Achievement Award in 2013,
and the 2015 Society Award.  He is a
Fellow of the IEEE.
Li Deng (l.deng@ieee.org) received
his Ph.D. degree from the University of
Wisconsin-Madison. He was a tenured
professor from 1989 to 1999 at the Uni-
versity of Waterloo, Ontario, Canada,
and then joined Microsoft Research,
Redmond, Washington, where he was
the chief scientist of artificial intelli-
gence (AI) and partner research man-
ager. He recently joined Citadel as its
chief AI officer. He is a Fellow of the
IEEE, the Acoustical Society of Ameri-
ca, and the International Speech Com-
munication Association. He was the
editor-in-chief of IEEE Signal Processing Magazine (2009-2011) and IEEE/
ACM Transactions on Audio, Speech,
and Language Processing (2012-2014),
for which he received the IEEE Signal
Processing Society (SPS) Meritorious
Service Award. He received the 2015
IEEE SPS Technical Achievement
Award for "outstanding contributions to
automatic speech recognition and deep
learning" and numerous best paper and
scientific awards for the contributions
to AI, machine learning, multimedia
signal processing, speech and human
language technology, and their industri-
al applications.
Jeff Fessler (fessler@umich.edu)
received his B.S.E.E. degree from Purdue
University, West Lafayette, Indiana, in
1985 and his Ph.D. degree from Stanford
University, California, in 1990. He is the
William L. Root Professor of Electrical
Engineering and Computer Sciences at
the University of Michigan, where he has
worked since 1990. He received the 2013
IEEE Edward Hoffman Medical Imaging
Scientist Award and serves as an associ-
ate editor of IEEE Transactions on
IEEE SIGNAL PROCESSING MAGAZINE

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November 2017

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Computational Imaging. He was the
technical program cochair of the 2002
IEEE International Symposium on
Biomedical Imaging (ISBI) and the gen-
eral chair of ISBI 2007. His research
group focuses on imaging problems. He
is a Fellow of the IEEE.
Jelena Kovacˇevic´ (jelenak@cmu
.edu) received her M.S. and Ph.D.
degrees in electrical engineering from
Columbia University, New York, in
1988 and 1991, respectively. She is cur-
rently the Hamerschlag University
Professor, head of the Department of
Electrical and Computer Engineering,
and a professor of biomedical engineer-
ing at Carnegie Mellon University
(CMU), Pittsburgh, Pennsylvania. She
received the IEEE Signal Processing
Society Technical Achievement Award,
the Dowd Fellowship at CMU, the
Belgrade October Prize, and the E.I.
Jury Award at Columbia University. She
has coauthored a number of award-win-
ning papers and is a coauthor of the text-
books Wavelets and Subband Coding
and Foundations of Signal Processing.
She is a Fellow of the IEEE and was the
editor-in-chief of IEEE Transactions on
Image Processing. Her research interests
include applying data science to a num-
ber of domains such as biology, medi-
cine, and smart infrastructure; she is an
authority on multiresolution techniques
such as wavelets and frames.
H. Vincent Poor (poor@princeton
.edu) is the Michael Henry Strater
University Professor of Electrical
Engineering at Princeton University, New
Jersey. His interests include information
theory and signal processing, with
applications in wireless networks and
related fields. He is an IEEE Fellow, a
member of the U.S. National Academy
of Engineering and the U.S. National
Academy of Sciences, and a Foreign
Member of the Royal Society. He re--
ceived the Technical Achievement and
Society Awards of the IEEE Signal
Processing Society in 2007 and 2011,
respectively. Recent recognition of his
work includes the 2017 IEEE Alexander
Graham Bell Medal and honorary doctor-
ates from several u- niversities.
(continued on page 23)
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Table of Contents for the Digital Edition of Signal Processing - November 2017
