Signal Processing - November 2017 - 25

New York University in 2002. He is an
IEEE Fellow and a professor at Australian National University. He is also the
chief scientist at Huawei, Santa Clara,
California. Previously, he served as the
Computer Vision Research group leader
at National ICT Australia and distinguished scientist at Mitsubishi Electric
Research Laboratories. His research interests include computer vision and machine
learning with commercial applications in
autonomous vehicles, video surveillance,
visual inspection, robotics, and medical
systems. He received the R&D100 Scientist of the Year Award in 2006, won five
Best Paper Awards at IEEE conferences,
and invented 71 patents.
Shiguang Shan
(sgshan@ict.ac.cn)
received his B.S.E. and
M.S.E. degrees in computer science from
Harbin Institute of
Technology, China, in 1997 and 1999,
respectively. He received his Ph.D.
degree in computer science from the
Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, in 2004, where he has been a full
professor since 2010 and is now the deputy director of the CAS Key Lab of
In-telligent Information Processing. His
research interests include computer
vision, pattern recognition, and machine
learning. He has published more than
200 papers in these areas. He served as
area chair for many international conferences and is an associate editor of several

Community Voices

journals, including IEEE Transactions
on Image Processing, Computer Vision
and Image Understanding, Neurocomputing, and Pattern Recognition Letters.
Cees Snoek (cgmsnoek@
uva.nl) received the
M.Sc. degree in business information systems in 2000 and the
Ph.D. degree in computer science in 2005, both from the University of Amsterdam, The Netherlands.
He is currently a director of the QUVA
Lab, the joint research lab of Qualcomm
and the University of Amsterdam, on
deep learning and computer vision. He is
also a principal engineer/manager at
Qualcomm and an associate professor at
the University of Amsterdam. His
research interests focus on video and
image recognition. He has published
more than 200 refereed book chapters,
journal, and conference papers. He
received a Veni Talent Award, a Fulbright Junior Scholarship, a Vidi Talent
Award, and The Netherlands Prize for
Computer Science Research, all for
research excellence.
Rahul Sukthankar
(rahulsukthankar@
gmail.com) received
his B.S.E. degree in
computer science from
Princeton University,
New Jersey, in 1991 and his Ph.D. degree
in robotics from Carnegie Mellon, Pittsburgh, Pennsylvania, in 1997. He leads

research efforts in computer vision,
machine learning, and robotics at
Google. He is also an adjunct research
professor with the Robotics Institute at
Carnegie Mellon and courtesy faculty at
the University of Central Florida. Previously, he was a senior principal researcher at Intel Labs, a senior researcher at
HP/Compaq Labs, and a research scientist at Just Research. He has organized
several workshops and conferences and
currently serves as the editor-in-chief of
Machine Vision and Applications.
Xiaogang Wa n g
( x g wa n g @ e e . c u h k
.edu.hk) received his
bachelor's degree in
electronic engineering
and information science from the Special Class of Gifted
Young at the University of Science and
Technology of China in 2001, his M.Phil.
degree in information engineering from
the Chinese University of Hong Kong in
2004, and his Ph.D. degree in computer
science from the Massachusetts Institute
of Technology in 2009. He has been an
associate professor in the Department of
Electronic Engineering at the Chinese
University of Hong Kong since August
2009. He received the PAMI Young
Research Award Honorable Mention in
2016. He is the associate editor of Image
and Visual Computing Journal, Computer
Vision and Image Understanding, and
IEEE Transactions on Circuit Systems
and Video Technology.
SP

(continued from page 16)

Massachusetts Institute of Technology in honor of Al Oppenheim's
80th birthday, with the goal of bringing together experts in industry and
academia to think progressively and
speculate about the future of the field
moving forward.
Over a dozen speakers provided a
range of thought-provoking insights
about the continued impact of the field in
the decades ahead, in terms of applica-

tions, mathematics for new algorithms,
and new implementation technologies.
We would love to share this with those
in the signal processing community who
were unable to attend. A collection of
video recordings and thoughts from the
symposium will be available at https://
futureofsp.eecs.mit.edu/. It was an exciting event, and we hope that the videos
continue to stimulate further creative
discussion within the community!
IEEE SIGNAL PROCESSING MAGAZINE

November 2017

Thomas A. Baran (tom.baran@gmail
.com) is a cofounder and chief executive officer of Lumii and a research
affiliate at the Massachusetts Institute
of Technology.

Reference
[1] A. Zoubir, "Interdisciplinary research: A
catalyst for innovation" [From the Editor],
IEEE Signal Process. Mag., vol. 29, no. 3, pp.
SP
2-4, 2012.

http://www.M.Sc http://www.edu.hk http://https:// http://futureofsp.eecs.mit.edu/

Table of Contents for the Digital Edition of Signal Processing - November 2017