IEEE Awards Booklet - 2019 - 22

2019 Ieee technIcAl fIeld AwArds

IEEE Electronics Packaging Award

IEEE Electromagnetics Award

Sponsored by the IEEE Electronics Packaging Society

Sponsored by the IEEE Antennas and Propagation, Electromagnetic Compatibility,
Geoscience and Remote Sensing Society, and Microwave Theory and Techniques
Societies

Ephraim Suhir

Richard W. Ziolkowski

For seminal contributions to mechanical
reliability engineering and modeling of
electronic and photonic packages and
systems

For contributions to electromagnetic
metamaterial-inspired physics and engineering, and localized wave phenomena

With over 40 years of pioneering work in modelling and reliability engineering, Ephraim Suhir has enabled electronic packaging
engineers to accurately predict stress in advanced packaged components for the design of more reliable devices. He was one of
the earliest researchers to introduce the use of rigorous mechanics
principles in electronic systems. His closed-form solutions have
provided the electronics industry with invaluable tools for ensuring reliability and cost savings during the design process by eliminating errors early in the design process. He has applied his techniques to advanced components and packaged structures such as
microelectronics, photonics, photovoltaics, and thermoelectronic
modules. Every serious mechanics practitioner and researcher in
the electronics packaging field has been influenced by Suhir's
groundbreaking contributions.
An IEEE Life Fellow, Suhir is a professor with Portland State
University, Portland, OR, USA.

One of the world's most influential and pioneering researchers in
electromagnetics, Richard W. Ziolkowski's contributions to metamaterials and localized wave phenomena have enabled novel applications for wireless and optical technologies. Metamaterials are
engineered to provide smart properties not found in natural materials. Ziolkowski has exploited their capabilities for blocking, absorbing, enhancing, or bending electromagnetic waves to achieve
benefits beyond what is possible with conventional materials. He has
demonstrated the usefulness of metamaterials for wireless antenna
topologies that are portable, small, multiband, and highly eﬃcient.
Ziolkowski also led the realization of localized wave phenomenon
where electromagnetic power can be beamed over relatively long
distances with less rapid intensity decay. His findings in this area have
substantial current relevance to wireless power transfer applications.
An IEEE Fellow, Ziolkowski is a Distinguished Professor with
the University of Technology Sydney, Ultimo, Australia.

IEEE James L. Flanagan Speech and
Audio Processing Award

IEEE Fourier Award for Signal Processing
Sponsored by the IEEE Circuits and Systems Society and
the IEEE Signal Processing Society

Sponsored by the IEEE Signal Processing Society

Hermann Ney

Alan Conrad Bovik

For pioneering contributions to statistical
and computational modeling for speech
recognition and machine translation

For seminal contributions and highimpact innovations to the theory and
application of perception-based image
and video processing

The groundbreaking innovations of Hermann Ney have led to major
advances in speech and language processing and sparked a new era of
research in automatic recognition and translation of spoken language.
His dynamic programming-based techniques made search/decoding
processes computationally feasible for large-vocabulary continuous
speech recognition. He developed a statistical smoothing technique,
now known as the Kneser-Ney smoothing process, which is one
of the most eﬃcient and widely used methods for language model
smoothing. Ney also created phrase-based machine translation, which
outperformed conventional linguistic systems in translating spoken
language. His publicly available GIZA++ toolkit for statistical word
alignment has become the standard for building state-of-the-art machine translation systems. Ney's contributions have greatly impacted
today's speech interfaces for mobile devices, among other applications.
An IEEE Fellow, Ney is a professor with the RWTH Aachen
University of Technology, Aachen, Germany.

Alan Conrad Bovik has combined principles of visual neuroscience with those of video engineering to create groundbreaking
algorithms for modeling image texture, improving image appearance, and measuring video quality. He conducted large-scale human studies of image and video quality and used them to create
algorithms that accurately predict perceptual quality. These algorithms model the way the brain eﬃciently processes visual information, how distortions alter the statistics of videos, and how
and to what degree humans perceive visual distortions. Today, his
video quality measurement tools are used to monitor and control
the quality of a substantial percentage of digital streaming videos,
allowing viewers to enjoy perceptually optimized experiences. In
2015, he received a Primetime Engineering Emmy Award for his
work on the globally popular Structural Similarity Model.
An IEEE Fellow, Bovik is the Cockrell Family Regents Endowed Chair Professor at the University of Texas, Austin,TX, USA.

22 | 2019 IEEE awards bookLET

IEEE Awards Booklet - 2019

Table of Contents for the Digital Edition of IEEE Awards Booklet - 2019