IEEE Awards Booklet - 2021 - 12

2021 IEEE MEDALS

IEEE Richard W. Hamming Medal

IEEE Medal For Innovations
in Healthcare Technology

Sponsored Qualcomm, Inc.

Sponsored by the IEEE Engineering
in Medicine and Biology Society

Raymond W. Yeung

Ruzena Bajcsy

For fundamental contributions to information theory and pioneering network
coding and its applications

For pioneering and sustained contributions to healthcare technology fundamental to computer vision, medical imaging,
and computational anatomy

A world-renowned expert in information theory and cofounder
of the field of network coding, Raymond W. Yeung has forever
changed our understanding of network communication, impacting error-correction coding, information security, wireless communication, and data storage. His holistic approach to network
communications, based on both fundamental theory and cuttingedge practice, resulted in multiple novel research directions and
influenced generations of researchers in several fields. His work on
network coding provided the foundations of the field, bringing
information theory, coding techniques, and networking systems
together in an unprecedented way.Yeung showed the necessity of
jointly encoding two independent information sources inside a
network. He developed a new theory for network communication with various collaborators in which by applying coding to
data packets inside the network (network coding), information
can be transmitted through the network at a higher rate. Yeung
developed and spearheads the use of the BATS code, which solves
the longstanding wireless multihop problem that arises with Internet of Things and many other applications.This code has been
adopted in Hong Kong government's smart lamppost system, a
major smart-city initiative. Yeung is currently working with an
electric utility on the application of the BATS code in multihop
powerline communication, with the aim of developing a technology that can bring Internet connectivity to people living in
rural areas. Yeung has also made foundational contributions to
the heart of information theory. Yeung introduced a geometrical framework for the entropy function, in which he classified
such inequalities as " Shannon-type " and " non-Shannon-type. "
Previously only Shannon-type inequalities were known, and
it was widely believed that these comprise all the information
inequalities that exist. Yeung discovered (with Zhen Zhang) the
first unconstrained non-Shannon-type inequality, now known as
the Zhang-Yeung inequality. This surprising result opened a new
frontier in information theory and beyond.
An IEEE Fellow and recipient of the 2016 IEEE Eric E. Sumner Award,Yeung is the Choh-Ming Li Professor of Information
Engineering at the Chinese University of Hong Kong, Hong
Kong, China.

Ruzena Bajcsy's pioneering interdisciplinary achievements have
been instrumental in developing computer vision, medical imaging, and computational anatomy applications that are now routinely used to improve safety and reduce the cost of diagnostics
and healthcare. Her landmark research in elastic matching and
digital anatomy atlases gave rise to the discipline of computational
anatomy, enabling exciting developments in medical imaging, including fusion of multimodality data to assist diagnostic interpretation, change-detection in serial studies, organ motion modeling
to improve anatomic localization in surgical procedures, and the
construction of probabilistic atlases. The digital anatomy atlases
developed by Bajcsy serve as the mechanism through which novel
sources of spatially indexed or image-based information may be
linked with other databases so that new relationships may be derived. In developing " elastic matching, " Bajcsy sought a method
that would optimally balance the similarity induced between the
registered image pair with the amount of deformation to the
transformed image required to achieve the registration result. Her
ideas caused a paradigm shift in medical image analysis, from sliceby-slice, two-dimensional processing to fully volumetric analysis in three-dimensional space, and was a precursor to the active
contour and physics-based deformable models that are pervasive
in the field today. Her deformable atlas-based parcellation of images into anatomic structures of interest enabled an automated
approach to the regional quantitation of image signal values as
well as morphology that remains the standard method for hypothesis-driven analysis of neuroimaging data. She also pioneered
the use of unobtrusive sensing for modeling human kinematics
and dynamics using computer vision, wearable sensors, and mobile devices to deliver new technology into clinical environments
and homes to improve the well-being of the elderly and people
with physical impairments.
An IEEE Life Fellow and member of the U.S. National Academy of Engineering and the National Academy of Medicine, Bajcsy is a professor of electrical engineering and computer sciences,
NEC Chair holder, and Director Emeritus of the Center for Information Technology Research in the Interest of Science (CITRIS) at the University of California, Berkeley, USA.

Scope: For exceptional contributions to information sciences, systems, and technology.

Scope: For exceptional contributions to technologies and applications benefitting healthcare, medicine, and the health sciences.

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IEEE Awards Booklet - 2021

Table of Contents for the Digital Edition of IEEE Awards Booklet - 2021

Table of Contents
IEEE Awards Booklet - 2021 - Cover1
IEEE Awards Booklet - 2021 - Cover2
IEEE Awards Booklet - 2021 - 1
IEEE Awards Booklet - 2021 - 2
IEEE Awards Booklet - 2021 - 3
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IEEE Awards Booklet - 2021 - 7
IEEE Awards Booklet - 2021 - Table of Contents
IEEE Awards Booklet - 2021 - 9
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IEEE Awards Booklet - 2021 - Cover3
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