IEEE Awards Booklet - 2016 - 23

2016 ieee technical field awards

IEEE Joseph F. Keithley Award in
Instrumentation and Measurement

IEEE Gustav Robert Kirchhoff Award
Sponsored by the IEEE Circuits and Systems Society

Sponsored by Keithley Instruments, Inc. and the IEEE Instrumentation
and Measurement Society

samuel p. Benz

p.p. vaidyanathan

For creating and disseminating quantum-based superconducting voltage
standards that form the basis for worldwide precision voltage measurements

For fundamental contributions to digital
signal processing

Considered the premier researcher in developing and applying
superconducting quantum voltage standards, Samuel P. Benz has
provided industries around the world with the ability to perform
precision measurements. Benz advanced the capabilities of Programmable JosephsonVoltage Standard (PJVS) systems that provide
improved voltage stability and noise immunity compared to conventional JVS technology. Accuracy is achieved because these voltage standards are based on superconducting Josephson junctions
incorporating quantum mechanics, which ensures that the voltage
does not drift with time or from environmental conditions. He
also helped develop the Quantum Watt, which uses a PJVS for best
ever power calibration critical to the electric power industry. The
NIST alternating current (ac) JVS produces quantum-accurate ac
waveforms and also significantly reduces uncertainties.
An IEEE Fellow, Benz is also a NIST Fellow and leads the
Superconductive Electronics Group at the National Institute of
Standards and Technology, Boulder, CO, USA.

Considered to be one of the pioneering contributors to multirate
signal processing research, P.P.Vaidyanathan has heavily influenced
the research directions in filter banks and multirate systems. He is
most well known for developing the general theory of filter banks
with perfect reconstruction, as well as orthonormal filter banks,
which have impacted digital communications, audio, and image
coders. One of his earliest contributions was in the area of lowsensitivity digital filter structures. He showed how such structures
can be designed directly in discrete time, without the need for
transforming electrical circuits into the digital domain. An early
proponent of applying signal processing methods to genomics,
Vaidyanathan developed methods to computationally predict the
location of protein coding genes and noncoding genes. His work
on coprime and nested arrays is expected to have major impact on
applications such as direction finding and radar systems.
An IEEE Fellow, Vaidyanathan is a professor at the California
Institute of Technology, Pasadena, CA, USA.

IEEE Leon K. Kirchmayer Graduate Teaching Award

IEEE Koji Kobayashi Computers
and Communications Award

Sponsored by the Leon K. Kirchmayer Memorial Fund

Sponsored by NEC Corporation

K.J. ray liu

leandros tassiulas

For exemplary teaching and curriculum
development, inspirational mentoring of
graduate students, and broad educational impact in signal processing and
communications

For contributions to the scheduling and
stability analysis of networks

K.J. Ray Liu's students aren't just individuals pursuing graduate
degrees in signal processing-they become his "extended family."
They can attest to how Liu's passion for teaching and mentoring for their professional development goes beyond the classroom,
beyond graduation. He is always there for them. Many have gone
on to become leaders in academia and industry. Both a world-class
researcher and excellent educator who pioneered and cross-pollinated various fields, Liu built the University of Maryland's signal
processing program practically from scratch beginning in 1990
and has shaped it into one of the most well-respected graduate
programs in the world. He also revamped the University's master's
program in telecommunications, creating a unique identity resulting in a scholarly and financially successful program.
An IEEE Fellow, Liu is the Christine Kim Eminent Professor of
Information Technology at the University of Maryland, College
Park, MD, USA.

Leandros Tassiulas has revolutionized how scheduling and stability analysis are performed in communications networks, providing dynamic resource allocation tools to improve performance
of wireless networks and Internet switches. Developing control
algorithms based on a sound mathematical foundation as an alternative to heuristic approaches, Tassiulas introduced the MaxWeight scheduling algorithm for achieving maximum throughput
in systems with conflicting resources as well as the Backpressure
routing algorithm for end-to-end traffic forwarding. His Maximum Connected Queue algorithm introduced the concept of
opportunistic scheduling that became part of most wireless standards since 3G. Together, these three algorithms provide the basis
for cross-layer network design in today's wireless networks.
An IEEE Fellow, Tassiulas is the John C. Malone Professor in
the Electrical Engineering Department and the Institute for Network Science at Yale University, New Haven, CT, USA.

23 | 2016 IEEE AWARDS BooKLET



Table of Contents for the Digital Edition of IEEE Awards Booklet - 2016

IEEE Awards Booklet - 2016 - Cover1
IEEE Awards Booklet - 2016 - Cover2
IEEE Awards Booklet - 2016 - 1
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IEEE Awards Booklet - 2016 - Cover3
IEEE Awards Booklet - 2016 - Cover4
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