IEEE Awards Booklet - 2021 - 15

2021 IEEE MEDALS

IEEE Robert N. Noyce Medal

IEEE Dennis J. Picard Medal for
Radar Technologies and Applications

Sponsored by Intel Corporation

Sponsored by Raytheon Technologies

Lisa T. Su

Simon Haykin

For leadership in ground-breaking semiconductor products and successful business
strategies that contributed to the strength
of the microelectronics industry

For contributions to the development of the
theory and practice of radar, especially
cognitive radar and adaptive filtering

A pioneering engineer in the semiconductor industry and a
trusted leader, Lisa T. Su's technical and business expertise has
positioned Advanced Micro Devices (AMD) at the forefront of
high-performance computing, contributing to the growth of the
semiconductor industry and fueling industries that rely on advanced computing systems to innovate their business. When Su
became chief executive officer of AMD in 2014, she set a clear
strategy to deliver leadership products to the high-performance
PC, gaming, and data center markets. Early on she focused AMD
on its core competency of building great high-performance computing solutions. Her three priorities were building great products,
deepening customer relationships, and simplifying AMD's business.To build great products, she refocused and streamlined R&D
by changing AMD's CPU core roadmap to focus on a scalable design (Zen) and a consistent cadence of new product introductions.
She deepened customer relationships to make AMD the provider
of choice to many of the industry's biggest technology companies,
such as a partnership that helped Microsoft expand from a gameconsole customer to include Microsoft Azure cloud services and
Microsoft Surface computers. She simplified AMD's business by
revamping the company to align with the new strategy while
ensuring the business could move as quickly as possible to address
evolving customer and market needs. The successful execution
of these priorities has resulted in tremendous economic impact.
Other relationships fostered by Su include AMD joining the U.S.
Department of Energy, Oak Ridge National Laboratory, and Cray
to announce what is expected to be the first exascale-class U.S.
supercomputer and a partnership with Lawrence Livermore National Laboratory to use AMD processors to power El Capitan,
which is projected to be the world's most powerful supercomputer with peak performance expected to exceed 2 exaFLOPS.
While with IBM, Su was instrumental in the IBM-Sony-Toshiba
alliance that led to the CELL microprocessor and its key role in
the Sony PlayStation 3.
An IEEE Fellow and member of the American Academy of
Arts and Sciences, Su is president and chief executive officer of
AMD, Austin, Texas, USA.

With an accomplished research career in diverse signal processing applications spanning over 50 years, perhaps Simon Haykin's
greatest impact has arisen from his contributions to radar signal
processing, where he has advanced the theory and practice of radar
and enabled new fields. One such field is cognitive radar. Cognitive radar is an intelligent system that is aware of its surrounding
environment and uses prior knowledge as well as learning through
interactions with the environment to adapt both its receiver and
transmitter in response to statistical variations in the environment.
It adapts itself in real-time, with the goal of meeting specific remote-sensing objectives in an efficient, reliable, and robust manner.
Haykin's interest in applying some of the insights from neuroscience to engineering, by combining ideas from statistical signal
processing, stochastic control, and information theory, led to the
concept of cognitive dynamic systems. His papers and books on
this topic drove the creation of the cognitive radar field. Based on
principles of cognitive and computational neuroscience, including
the perception-action cycle, he proposed a Bayesian framework
for cognitive radar tracking that employs closed-loop feedback to
design the next illumination to maximize the information gained
from the environment. His work allowed for the development of
a complex form of the now-famous backpropagation algorithm,
where neural networks are applied to classification, clutter suppression, image segmentation, and nonlinear filtering for more
reliable radar performance. The foundation for Haykin's development of cognitive radar was laid during his pioneering work on
adaptive signal processing and its applications in radar technologies. His book Adaptive Filter Theory (Prentice-Hall) is one of the
most important texts in this area. One notable contribution was
that of the cubature Kalman filter, which efficiently incorporates
nonlinear dynamical models for sea clutter into adaptive filtering
and tracking systems. Haykin also led a large measurement campaign with cross-polarized antennas that generated the prominent
K-distribution model for the nonlinear dynamics of sea clutter.
An IEEE Fellow and recipient of the 2016 IEEE James H.
Mulligan, Jr. Education Medal, Haykin is an Emeritus Professor
with the Department of Electrical and Computer Engineering at
McMaster University, Ontario, Canada.

Scope: For exceptional contributions to the microelectronics industry.

Scope: For outstanding accomplishments in advancing the fields of
radar technologies and their applications.

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IEEE Awards Booklet - 2021

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

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IEEE Awards Booklet - 2021 - Cover1
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IEEE Awards Booklet - 2021 - 1
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IEEE Awards Booklet - 2021 - Table of Contents
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