IEEE Awards Booklet - 2020 - 19

2020 IEEE
2020
TECHNICAL
IEEE MEDALS
FIELD AWARDS

IEEE Biomedical Engineering Award

IEEE Control Systems Award

Sponsored by the IEEE Circuits and Systems, Engineering in
Medicine and Biology, and Signal Processing Societies

Sponsored by the IEEE Control Systems Society

F. Stuart Foster

Anders Lindquist

For contributions to the field of
high-resolution imaging

For contributions to optimal filtering,
stochastic control, stochastic realization
theory, and system identification

F. Stuart Foster's pioneering development of micro-ultrasound technology has enabled powerful high-resolution noninvasive imaging
to better understand disease development and aid in the evaluation
of new therapeutic treatments. He adapted his early high-resolution
ultrasound work regarding miniature intravascular imaging catheters
based on single-element mechanically scanned ultrasound transducers to larger external array transducers that could image small animals with high ultrasound resolution never before achievable. The
visualization of tissue microstructure and functional status allowed
by micro-ultrasound has found clinical applications in high-resolution prostate imaging, ocular imaging, dermatology, and guided
neurosurgical interventions. His recent innovations include a photoacoustic system that combines the high resolution of ultrasound
with the high tissue contrast provided by optical pulses.
An IEEE Fellow, Foster is currently senior scientist, Sunnybrook
Research Institute and professor with the Department of Medical
Biophysics at the University of Toronto,Toronto, Ontario, Canada.

Anders Lindquist's fundamental and seminal contributions to optimal filtering, smoothing, and stochastic control; stochastic realization theory; system identification; and modeling of time series have
led to a conceptual understanding of several deep problems in systems and control. In particular, his contributions to the geometric
theory of stochastic systems, which explain basic systems' theoretical concepts in geometric terms, has led to a deeper understanding
of related algorithms. His contributions to the theoretical aspects
of time-series analysis had a catalyzing effect. It led to a convex optimization approach for modeling and a unified view to a number
of problems in robust control, system identification, and impedance
matching. It also led to a novel framework for spectral estimation
and the development of tunable algorithms known by the acronym
THREE (for tunable high-resolution estimators).
An IEEE Life Fellow, Lindquist is a Zhiyuan Chair Professor at
Shanghai Jiao Tong University, Shanghai, China.

IEEE Cledo Brunetti Award
Sponsored by the Brunetti Bequest

James H. Stathis and Ernest Yue Wu

For contributions to the understanding of gate dielectric reliability and its application
to transistor scaling

James H. Stathis' and Ernest Yue Wu's expertise of gate dielectric reliability has permitted circuit designers to push transistor
performance to the limit by continuing dielectric scaling while
maintaining operation voltage sufficient to deliver high drive current integral to today's smaller yet more powerful devices. Their
work has provided the ability to accurately predict the oxide
lifetime at use conditions from accelerated stress data at elevated
voltages, which has been essential as oxide thickness has scaled
from ~10 nm to ~1 nm. Stathis challenged the semiconductor
roadmap assumption that the constant-field scaling of gate oxides could continue without impacting transistor reliability. This
motivated the industry to start looking for alternative (high-k)

dielectrics. He then helped discover "progressive breakdown" and
showed how to confidently achieve better reliability margins. Wu
developed a power-law model for voltage dependence of gate
oxide breakdown that profoundly changed the landscape for
semiconductor scaling. Building on the progressive breakdown
concept, he created a failure-current-based methodology that led
to a comprehensive understanding of transistor failure.
An IEEE Fellow, Stathis is a principal research staff member
with IBM Research,Yorktown Heights, NY, USA.
An IEEE Fellow, Wu is a senior technical staff member with
IBM Research, Essex Junction,VT, USA.

19 | 2020 IEEE AWARDS BOOKLET



IEEE Awards Booklet - 2020

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