IEEE Awards Booklet - 2018 - 25

2018
2017 ieee technical field awards

IEEE Frederik Philips Award

IEEE Photonics Award

Sponsored by the IEEE Photonics Society

Ian A. Young

Ursula Keller

For leadership in research and development on circuits and processes for the
evolution of microprocessors

For seminal contributions to ultrafast
laser technology enabling important industrial applications and novel scientific
breakthroughs

Ian A. Young revolutionized the design of microprocessor clocking circuitry by designing Phase Locked Loop (or PLL) clocking
circuits that drove the performance of Intel Pentium and Intel
Core processors from 50 MHz to over 3 GHz. This innovation
contributed to the rapid increase in the speed performance of
microprocessors through the 1990s while following Moore's Law
scaling. PLL clocking circuits are among the most used analog
components within microprocessor integrated circuit products.
As a manager of SRAM design and analog circuit design teams,
Young developed a "Process Development & Circuit Design Cooptimization Methodology" to optimize the microprocessor performance, process density, and yield. This co-optimization methodology has become a standard across the semiconductor industry
to date.
An IEEE Life Fellow, Young is a Senior Fellow and director
of exploratory integrated circuits at Intel Corporation, Hillsboro,
OR, USA.

A pioneer in the field of ultrafast lasers, Ursula Keller has revolutionized photonics and enabled important scientific and industrial applications in physics, chemistry, and biology. Keller developed the semiconductor saturable absorber mirror (SESAM) for generating ultrashort
pulses, which transformed femtosecond lasers from complex devices
only used by specialists to reliable instruments suitable for use in any
general-purpose scientific laboratory and industrial applications. Most
ultrashort lasers today utilize her SESAM mode-locking technology for optical communication, precision measurements, microscopy,
ophthalmology, and micromachining applications. Her work has also
enabled the optical frequency comb revolution and the invention of
the attoclock to resolve electron tunneling. Keller's development of
carrier phase stabilization and frequency comb technology during the
1990s was integral to Hänsch and Hall's development of laser-based
spectroscopy that garnered the 2005 Nobel Prize in Physics.
An IEEE Fellow, Keller is a professor in the physics department
at ETH Zürich, Zürich, Switzerland.

IEEE Robotics and Automation Award

IEEE Frank Rosenblatt Award

Sponsored by the IEEE Robotics and Automation Society

Sponsored by the IEEE Computational Intelligence Society

Matthew T. Mason

Enrique H. Ruspini

For scientific and educational contributions to the mechanics of manipulation
enabling real-world robot autonomy,
and for leadership in robotics

For fundamental contributions to the
understanding of fuzzy logic concepts
and their applications

Matthew T. Mason's contributions to advancing the mechanics
of grasping and manipulation are essential to enabling robots to
physically interact with the world. A proponent of minimalism
in robotic manipulation, his innovative thinking provides simple
solutions that allow robots to perform sophisticated tasks, such
as parts feeders used for automatic assembly and packaging. He
established the geometrical and mechanical foundations for robotic manipulation, and he pioneered pushing and planar sliding
as important processes in manipulation. As founder of Carnegie
Mellon University's Manipulation Lab, Mason supervised development of the origami-folding robot, desktop mobile manipulators, scale-invariant grasping, throwing, striking, regrasp, and the
use of simple single-actuator. He was also a key architect of the
Robotics Roadmap that led to the National Robotics Initiative.
An IEEE Fellow, Mason is a professor of computer science and
robotics at Carnegie Mellon University, Pittsburgh, PA, USA.

In a seminal 1969 paper, Enrique H. Ruspini provided the conceptual bases and tools for fuzzy clustering: the summarization
and understanding of large data sets and complex objects as collections of fuzzy sets. In subsequent work, Ruspini defined methods that generalize fuzzy clustering by allowing the discovery of
multiple, overlapping clusters of diﬀerent nature and for recognizing important relations between those clusters. His work has led
to numerous approaches for data representation and their application to fields ranging from image understanding to neurophysiology to genomics. His developments in the field of approximate
reasoning led to a better understanding of methodologies for the
analysis of systems described by uncertain data and to approaches
to the intelligent control of autonomous robots and to pattern
matching in databases (finding "needles" in data "haystacks").
An IEEE Life Fellow, Ruspini is currently an independent consultant residing in Palo Alto, CA, USA.

25 | 2018 IEEE awards bookLET

Table of Contents for the Digital Edition of IEEE Awards Booklet - 2018