Electrical and Computer Engineering - Department of Electrical and ...

ANNUAL
REPORT 200 7 – 200 8
Department of
Electrical and
Computer
Engineering

Edited by Brian Ten Eyck

Table of Contents
Introduction
Department Facts
Research Centers
Research Spotlights
Research and Teaching Facilities
ECE Department Affiliates Board
ECE Graduate Degrees Awarded
Faculty Bios
Faculty Publications
Donors
Printed on recycled paper
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On behalf of our Students, Staff, and Faculty, it is my great pleasure to welcome you and invite
you to discover the Electrical and Computer Engineering Department at The University of Arizona.
Established in 1910 as the Electrical Engineering Department, we have a long and rich history, and an
outstanding record of contributions to the profession and community. Two years from now, we will
be celebrating our Centennial!
This report highlights selected areas of our activities, strengths, and recent accomplishments. You
will read about several research spotlights; just a small representative sample of many endeavors we
pursue in the spirit of innovation and discovery. This year, we feature Prof.Akoglu’s joint work with
NASA on advanced self-healing hardware and software designs. Prof. Barton’s work in Optical
Coherence Tomography, a technique akin to an optical analog of ultrasound, which allows for an early
cancer cell detection in a non-invasive way, is a ground breaking advancement in medical diagnostics.
Prof. Hariri travels to the Biosphere 2 facility to work on a project where biology meets computing
to study the living plants. Prof. Louri’s revolutionary optical computer architectures maximize the
efficiency and speed of new processors. Prof. Sprinkle, in teaming arrangements with University of
California, Berkeley, and University of Sydney is building autonomous cars that will ultimately pass the
Turing Test. We feature my own work as well, a large multi-disciplinary project to design algorithms
that will be employed to generate equilibrium-like solutions in conflict negotiations, disaster relief
operations, and other complex situations.
We are completing a significant transformation of the department. This includes hiring nine
exceptional new faculty who strengthen our teaching and research in the fundamental and signature
research areas. Compelled by significant changes in the funding model of public universities, we have
become increasingly self-reliant. As this has become a necessary condition to sustain a vibrant and
well-functioning department, we continue to grow externally funded programs. Our research awards
in the 2007-08 academic year exceeded $6.5 million. We also benefit from the generous support
of the community, private donors, and industrial sponsors. We have appointed six of our 38 faculty
as Endowed Chairs, and provided nearly $635,000 in student fellowships and stipends. Such aid is
indispensable in providing need-based student assistance, which is a core tenet of our mission.
For such support, we are grateful.
The transformation also involves changes in the undergraduate and graduate curricula so that they
reflect state-of-the-art electrical and computer engineering, and provide adequate breadth, depth,
and rigor. This includes offering a single undergraduate degree: Bachelor of Science in Electrical and
Computer Engineering. We are deeply committed to excellence in student training at all degree levels,
and maintain focused efforts to attract top student talent to our program.
ECE faculty, together with outstanding administrative, student advising, and technical support staff,
have created an environment that fosters collaboration, a culture of accomplishment, and strong
support of ethnic, cultural, and intellectual diversity.
I invite you to come in and see for yourself.
With Warm Greetings,
Jerzy W. Rozenblit
Raymond J. Oglethorpe Endowed Chair and Head
Professor of Electrical and Computer Engineering
Professor of Surgery

Raytheon Company, with 2007 sales of $21.3 billion,
is a technology leader specializing in defense, homeland security
and other government markets throughout the world. With a
history of innovation spanning 86 years, Raytheon provides
state-of-the-art electronics, mission systems integration and
other capabilities in the areas of sensing; effects; and command,
control, communications and intelligence systems, as well
as a broad range of mission support services. With headquarters
in Waltham, Mass., Raytheon employs 72,000 people worldwide.
Raytheon Missile Systems (RMS), the business unit of Raytheon
Company located in Tucson,Arizona, is the world’s leading
manufacturer of missiles and effectors. RMS, in coordination
with our Corporate University Research Program, has made a
concerted effort to create technical collaborations with American
universities. These collaborations create value for RMS by
training our employees on cutting edge science and by
strengthening our research and development portfolio.
To this end, the University of Arizona and, in particular, its
Electrical and Computer Engineering Department (ECE) has
been a great resource to RMS.
One instance of this value has been Raytheon Missile System’s
collaboration with Dr. Marwan Krunz. Dr. Krunz’s research on
radio networks has allowed RMS engineers to develop next
generation communications technology. This technology is
currently in use in some products and undergoing testing for
inclusion in other RMS products. Raytheon Missile Systems is
currently working to capture state and federal research money
to expand the value of Dr. Krunz’s research.
Additionally, RMS is excited about our recently acquired
membership into the ECE’s Center for Autonomic
Computing. This membership will allow Raytheon
Missile Systems to sponsor projects of value both
to our business unit and corporate level IT efforts.
Matching funding to this consortium from the National
Science Foundation adds additional value to this
technical collaboration.
In order to compete in current and future technology
markets, Raytheon Missile Systems must continually
invest in cutting edge research and development.
Creating successful strategic collaborations with the
University of Arizona’s ECE Department is one way in
which we ensure future success. RMS also uses this
relationship to strengthen tomorrow’s technical
workforce by fostering science, technology, engineering
and math education. Thus, collaborating with ECE can
help plug strategic gaps in research and development
roadmaps as well as create a talent pipeline for
engineering students who are already working on
projects of particular interest to technical companies.
Josh Cohn
Manager, Grants and University Collaborations
Raytheon Missile Systems
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2007-2008
Department Facts
Undergraduate students . . . . . . . . . . 461
Masters students . . . . . . . . . . . 87
Ph.D. students . . . . . . . . . . . 95
Bachelor degrees awarded . . . . . . . . . . . 78
Masters degrees awarded . . . . . . . . . . . 35
Ph.D. degrees awarded . . . . . . . . . . . 17
Tenure Track Faculty . . . . . . . . . . . 38
Joint Faculty . . . . . . . . . . . 17
Emeritus Professors . . . . . . . . . . . 14
Professionals . . . . . . . . . . . 19
Staff . . . . . . . . . . . 22
Research Awards $ 6,543,309
$ from NSF $ 1,416,143
$ from other Federal Agencies $ 2,749,326
$ from Industry $ 1,605,247
$ from Other $ 772,593
Books/Book Chapters . . . . . . . . . . . 12
Journal Articles . . . . . . . . . . . 89
Conference Proceedings . . . . . . . . . . 139

Center for Electronic Packaging Research
(CEPR) conducts research in the area of high frequency
and high-speed electronic packages. For over 25 years, CEPR
has traditionally been funded by the Semiconductor Research
Corporation (SRC) to conduct research on the modeling and
characterization of a diversity of high frequency packaging.
Research ranges from analytical methods and the development
of rapid modeling and simulation tools, to advanced
measurement methods. This work extends to high-speed
electronic packaging structures, packaging for wireless
communications, and high-density microwave and antenna
structures. More recently, its research scope has expanded to
include the modeling and characterization of high frequency
electromagnetic band gap structures and packaging on flexible
substrates. This work ensures that CEPR will continue a legacy
of leadership and innovation in technologies that are ultimately
dominated by the electrical performance and characteristics
of electrical system package and interconnects.
http://www.ece.arizona.edu/~cepr
The Center for Autonomic Computing (CAC) is
a National Science Foundation Industry/University Cooperative
Research Center that focuses on special- and general-purpose
computing systems, components, and applications that are
capable of autonomously achieving desired behaviors. CAC
research activities will advance several disciplines that impact
the specification, design, engineering and integration of
autonomic computing and information processing systems.
They include design and evaluation methods, algorithms,
architectures, information processing, software, mathematical
foundations and benchmarks for autonomic systems. Solutions
will be studied at different levels of both centralized and
distributed systems, including the hardware, networks, storage,
middleware, services and information layers. The industry/
university partnership combines an academic environment
with state-of-the-art research initiatives and real-world
applications. Currently, CAC has 14 industry members and
3 university members: The University of Florida,The University
of Arizona, and Rutgers.
http://nsfcac.arizona.edu/
ECE
Research Centers
The Arizona Center for Integrative Modeling
and Simulation (ACIMS) is devoted to research
and instruction that advance the use of modeling and simulation
as a means to integrate disparate partial solution elements into
coherent global solutions to multidisciplinary problems. To
accomplish this, the Center advances the concepts, tools, and
methodology of modeling and simulation so that it can make
the enormous computation power available today applicable to
emerging problems requiring multidisciplinary solutions.
www.acims.arizona.edu
Connection One is a National Science Foundation
Industry/University Cooperative Research Center working
closely with private industry and the federal government
on various projects in RF and wireless communication systems,
networks, remote sensing, and homeland security. The Center’s
mission is to develop the technology to enable end-to-end
communication systems for a variety of applications, ranging
from cellular to environmental and defense applications. One
aspect of the research is the development of integrated RF
and wireless circuits-on-a-chip to simplify and enable a small,
portable, all-in-one communication device. An additional
research focus is the development of efficient architectures
and routing techniques for networked applications. The
industry/university partnership combines an academic
environment with state-of-the-art research initiatives and realworld
applications. Currently Connection One has over 20
members from industry and government labs, and five university
members: The University of Arizona,Arizona State University,
The University of Hawaii,The Ohio State University, and
Rensselaer Polytechnic Institute.
www.connectionone.org
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In 2007 Professor Jerzy Rozenblit received a $2.2 million
grant to design computer software that will analyze volatile
political and military situations.
The software will predict the actions of paramilitary groups,
ethnic factions, terrorists and criminal groups, while aiding
commanders in devising strategies for stabilizing areas
before, during, and after conflicts.
It also will have many civilian applications in finance, law
enforcement, epidemiology and the aftermath of natural
disasters, such as hurricane Katrina.
The Asymmetric Threat Response and Analysis Project,
known as ATRAP, is a massively complex set of computer
algorithms that sift through millions of pieces of data,
considering many factors including social, political, cultural,
military and media influences, said Rozenblit, who holds
the Raymond J. Oglethorpe Endowed Chair in ECE, and
is Head of the Department.
The software can handle data loads that would overwhelm
human analysts, while dispassionately exploring actions and
behaviors based solely on available data, sidestepping human
cultural biases that might prematurely rule out unorthodox
or seemingly bizarre courses of action.
Actions Sometimes Defy Logic
“Since the end of the Cold War, our opponents have
behaved in ways that defy what we would consider normal
logic, pursuing actions that we find almost inconceivable,”
said Rozenblit. “Predicting these asymmetric behaviors is
difficult and further complicated by the massive amounts
of intelligence data available.”
$2.2 Million Grant Calls for
Designing Computer Software to
Analyze Asymmetric Threats
ATRAP will use sophisticated computational methods based
on game theory, co-evolution and genetic algorithms to find
solutions that make sense in illogical times.
Genetic algorithms analyze situations in an evolutionary
context, where actions with the highest “fitness factor”
(chance of achieving the greatest success) gravitate toward
one another, produce offspring, and eventually rise to
the top.
Co-evolutionary algorithms analyze how the actions
of one group affect the other groups and how those other
groups adapt, or co-evolve, in response to the changing
situation. For instance,“if one group becomes more
influential in an area where ethnic factions are vying for
supremacy, the other groups will respond in ways that will
try to make that first faction less influential,” Rozenblit said.
The algorithms are designed to recognize links and patterns
within the data and to find connections, much as an
investigative reporter might do when examining financial
records – but on a vastly more complex and detailed scale.
Augmenting Human Predictions
“The system acts as a cognitive amplifier by examining
very, very complex data sets that as an individual or even
as a group of individuals, you could never analyze,” said
Brian Ten Eyck, ATRAP project manager and Director for
Research Support in ECE.“The computer can bring to
the surface patterns of activity and connections between
people, organizations, and events, and can suggest scenarios
that might never occur to human analysts.”
Deep Blue, the first computer program to beat a world
chess champion, is an example of how ATRAP can respond
to changing factors,Ten Eyck explained. “Every time its
opponent makes a move, Deep Blue recalculates all the
possible courses of action, eventually settling on the fittest
move that would achieve its goal of winning the game.”

However, chess is not an exact analogy because the rules
are very constrained, only two players are involved, and the
end goal is for one player to win.
In unstable areas,“winning often means establishing an
environment in which the factions co-exist in a win-win
situation or at least in an equilibrium in which there are no
rewards, and some penalties, for disturbing the status quo,”
Rozenblit said.
“Deep Blue is a good analogy because it illustrates the
complexity of the problems, but in chess you have a finite
court and a well-defined set of operations,” Rozenblit
added. Therefore, a move constitutes a valid move.
But what we’re dealing with now is a world with no rules,
with infinite possibilities and moves that defy logic, such as
total disregard for the basic instinct of self preservation.
Quick Response is Vital
Ultimately, the software program will be designed to display
data in graphical, 3-D and other forms that can be quickly
grasped, allowing decision makers to rapidly respond to
changing situations.
In managing conflicts such as those that occurred in Kosovo
or Somalia in the 1990s, commanders will need to respond
quickly. “In those situations, we don’t have two months to
figure things out,” Rozenblit said. “So the second part of
our project involves harnessing massively parallel computing
architectures to do computations very rapidly.”
Parallel computing, which relies on several large computers
working on portions of a problem simultaneously, will allow
commanders to rapidly analyze millions of data points from
intelligence reports.
Students and Local Contractors Benefit
While the software ultimately could save millions of lives, it’s
immediately benefiting local companies and students in the
short term.
Rozenblit is outsourcing some parts of the project to local
contractors because his lab’s strength is in research, not
professional software development.“It’s critical to the Army
that our research and systems design gets realized as a robust,
commercial-quality software application,” Rozenblit said.“Also,
while there is nothing classified about this project from an
R&D perspective, we will ultimately need contractors to handle
the deployment of ATRAP into a military environment.”
ATRAP research also is giving students valuable skills. “There
is a dire need for engineers with expertise in this area and our
graduate students and undergraduates are in great demand,”
Rozenblit said. One student who recently graduated with a
bachelor’s degree after doing research related to ATRAP was
hired at an annual starting salary of $90,000.
The ATRAP software is being developed in collaboration with
the Army Battle Command Battle Laboratory at Ft. Huachuca,
Arizona.
While ATRAP can also address many complex, non-military
situations that require analysis of complex data and balancing
the desires of competing factions, its military application is
equally concerned with conflict avoidance.
“The goal is to handle conflict areas in a manner that leads to
stability and support, so war is not necessary,” Rozenblit said.
“That’s the philosophy behind much of the ATRAP effort.”
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Scientists and engineers at The University of Arizona’s Biosphere 2 are
teaming up to study the secret lives of plants – secrets that the plants
have kept well hidden until now.
Biosphere 2 – the University’s 3.14-acre, glass-enclosed living laboratory
– provides the perfect controlled environment for precisely pinpointing
those moments when plants initiate changes in their environment or
are changed by their environment. Until now scientists had two lessthan-satisfactory
avenues for studying the effects of plants on their
environment and vice versa – lab experiments and fieldwork. Conditions can be tightly controlled in the lab, but
the experiments are done under far-from-real-world conditions. On the other hand, fieldwork provides realworld
conditions, but scientists have little control over the variables.
Biosphere 2, with its huge indoor area, thousands of sealed windows and welded, stainless steel liner – in effect,
a gigantic terrarium – bridges this gap between the lab and the field.
“B2 is on a spatial scale that encompasses the complexities we care about in the real world, but it has the
environmental control of our controlled laboratory experiments,” says Travis Huxman, director of Biosphere 2
and the Biosphere 2 Earthscience program, which is working on issues related to global environmental change.
Biology Meets Computer Intelligence
Scientists and Engineers
Use Autonomic Computing
to Study the Secret Lives
of Plants
Experiments beginning this fall in Biosphere 2 will combine two seemingly disparate systems – living plants and
computer intelligence – to help scientists learn more about global change.
Some of the research questions include how plants acquire and allocate resources to survival, growth, and
reproduction; how global change affects these processes; and what these changes mean to how ecosystems
function. This includes both how past climates have influenced plant evolution and how future climates may
alter relationships between plants and their environment. Of particular interest is how plants would use water
in future climates, which would affect how much of that resource would be available for use by society.
The computer intelligence includes autonomic computing systems and robotic sensors from the UA’s branch
of the National Science Foundation Center for Autonomic Computing, known as CAC. Other CAC branches
are located at the University of Florida and Rutgers University.

Autonomic computing systems behave much like a biological
nervous system, which regulates such things as heartbeat,
breathing and digestion, with minimal need for conscious
thought.
The UA’s CAC has been working on systems that allow
computers to detect and defeat hacker attacks without human
intervention. “A system that stores secure information could
use a self-protecting algorithm to detect and mount a defense
against intruders trying to break in, disable and possibly destroy
the system,” said Salim Hariri, director of the center.
In the Biosphere 2 experiments, autonomic computer systems
will monitor plant, soil and air vital signs, such as atmospheric
carbon dioxide, water use, and temperature.
The system will include a grid of sensors on the ground and a
similar grid suspended in the air. Mobile robot sensors also will
be placed in Biosphere 2 and can be dispatched to carry out
further measurements when necessary – again, completely
under autonomic computer system control, without the need
for humans to do anything.
In one experiment slated to begin this Fall semester, researchers
will build three sloping hills about 30 yards long and 20 yards
wide to study how vegetation on a hillside influences the water
balance both in the ground and surrounding air.
The researchers want to better understand how plants modify
the amount of time a water molecule spends in the soil and
how that affects the reactions that take place in soil only when
it’s wet.
The researchers also plan to study how variations in ground
cover change the amount of water contained in the
atmosphere, soil and vegetation and how this, in turn, changes
air temperature, said Huxman, an Associate Professor in the
UA Department of Ecology and Evolutionary Biology.
“The autonomic computer system will detect the subtle
changes in the environment, alert researchers and also dispatch
sensor robots to gather additional information if needed,” said
Hariri, a Professor in the Electrical and Computer Engineering
Department.
Computers Make Ideal ‘Lab Rats’
Monitoring experiments moment by moment, hour after hour
and day after day is something humans aren’t very good at, but at
which computers excel, Hariri said. “Computers don’t get bored
and they’re always fully awake,” he said. “Computers are very
good at waiting. They’re ready to pick up on subtle changes
instantly. Then they can alert us to changes at the instant they
happen, even if that happens to be at 3 a.m. Sunday morning.”
Humans also can inject noise into the data, Hariri added. “When
you touch a plant or even walk through an area, you disturb the
local environment. Passive sensors are fixed in place and don’t
disturb their surroundings when taking measurements.”
Traditional plant and hydrologic research also is notoriously
glacial, Hariri noted. Researchers often wait years between the
start of an experiment, the modeling phase and the final results.
“With autonomic computing, we can accelerate this cycle,”
Hariri said. “Instead of waiting five or seven years, we can
do these experiments in real time, immediately gathering and
analyzing data.”
Now biologists will be able to run a computer simulation of
plant behavior right alongside plants growing in Biosphere 2’s
experimental plots. When there’s a disparity between the
predicted and experimental results,“we can adjust the models
in real time using autonomic sensors and robots,” Hariri said.
This creates a real-time iterative process in which the actual
behavior and modeled behavior quickly converge through the
use of a detailed feedback loop, he said.
“This is the most important aspect of this research effort,”
Hariri added. “We are accelerating the research.That’s the
story of Biosphere 2. We have a huge, controlled environment
in which to run experiments and analyze them in real time.”
“Scientists don’t fully understand the relationships between
climate, plant processes, and hydrology,” Hariri said. “The
research we’re conducting at Biosphere 2 will help us better
understand these things – and to quickly understand them –
through the accelerated discovery cycle that autonomic
computing makes possible.”
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Engineering Prof Builds
Brains for Robotic Cars
Jonathan Sprinkle wants to build robotic vehicles that pass the
Turing Test.
The test, proposed by Alan Turing in a 1950 paper,“Computing
Machinery and Intelligence,” requires a robot’s behavior to be
so lifelike that an observer can’t tell if he’s dealing with a robot
or a person.
Sprinkle, an Assistant Professor at The University of Arizona,
and Professor J. Mikael Eklund, of the University of Ontario
Institute of Technology, have already passed the Turing Test with
a control system they designed for a T-33 jet trainer. A veteran
F-15 pilot who flew against the T-33 in a test at Edwards Air
Force Base said it looked like a recent flight school graduate
was at the controls.
Following his success with flight-based systems, Sprinkle has
placed his robotic control expertise firmly on the ground,
where he’s applying it to smart cars that drive themselves.
This research effort began with a DARPA Urban Challenge
project Sprinkle worked on at the University of California,
Berkeley. The Urban Challenge race took place in November,
with smart vehicles driving themselves through 60 miles of
simulated city traffic.
While the Urban Challenge got engineers involved in designing
autonomous vehicles it didn’t foster robust designs, Sprinkle
noted. As engineers faced tight deadlines, they hacked systems
just to make them work instead of creating optimized,
integrated designs.“The downside of that is that you don’t
get a holistic approach to the system,” said Sprinkle.
Searching for Repeatable Results
“Some of the better teams out there had 30 to 40 people
working on a single car,” he added. “And if they wanted to do
this project again, they would have to have the same car.They
would probably have to have exactly the same people. If they
gave another team the code and the car, they probably couldn’t
make it run because there is so much knowledge involved in the
order in which things start up.”
Obviously, these are not robust control systems that can
be mass produced and bolted into thousands of vehicles.
Sprinkle would like to see the engineering community take a
collective deep breath following the Urban Challenge, step
back and design a system that isn’t specific to one group of
researchers or a single prototype vehicle.
The best way to do this is to work on each component of
the system in detail, he said.
“In my research at UA, I want to give a small component
of the system to each student, such as a path planner, and have
them design a really solid one,” Sprinkle said. “I want to isolate
the student to work on just one piece of the software to make
it as robust as possible. I think that’s where it needs to go.
Each person understands a small piece of the problem in
depth, and when you plug all those pieces together in the
end, it should work.”
Simulations Save Time, Money
A lot of this new research is being done with computer
simulations in Sprinkle’s lab. Although field testing is an
important part of vehicle development, Sprinkle believes much
faster progress can be made initially with simulations because
they don’t require an expensive car and thousands of hours
of tinkering with hardware.

Much of Sprinkle’s research is based on Model Predictive
Control techniques, which involve combining models of
various behaviors (such as obstacle avoidance) with data
from the real world to calculate future moves (braking,
turning or acceleration, for instance).
“You want to spend less time designing control algorithms,
and more time telling the machine that certain things are
good and certain things are bad and then having the control
algorithm sort that out,” he said.
“If you see a traffic cone ahead when you’re driving,
for instance, you know that you can turn the steering wheel
and don’t need to change the accelerator,” he said. “You
can just swerve out of the way. Sometimes you have to
brake and use the accelerator in rapid succession, but, in
your mind, you have a timeline for doing those various
actions. Model Predictive Control follows the same logic.
It’s pretty magical, amazing stuff.”
The result is a control system that anticipates what will
happen ahead and plans for future scenarios, rather than
driving reactively in the present moment.
One way to further enhance Model Predictive Control
would be to record the actions of a human driver and
overlay the human’s driving style on the robotic system.
“That would make it feel like a human is driving,” Sprinkle
said. And the robotic car would move a step closer to
passing the Turing Test.
Testing Multi-Core Sensors
In related research, Sprinkle is studying multicore computer
processors. They offer a huge increase in computational
speed and power, both of which are valuable for robotic
cars. But there’s a danger that they may make the system
less stable.
Procedures that were previously handled by a single
processor in linear fashion are now split up into shared
tasks being done simultaneously by two or more
processors. The processors are trading information,
but there’s no guarantee that they’re doing so at exactly
the right time.
“We’re doing some experiments to look at the possibilities
of failure in these systems and to identify indicators that
show when the system is failing,” Sprinkle said.
Cutting Sensor Costs
While autonomous vehicles now use lasers to learn about
their environment, Sprinkle says large numbers of lasers
aren’t practical for production cars. “If you want to build an
autonomous car now, you basically have to start by buying
$40,000 in lasers,” he said. “But if you can put something
like a video camera in the car to help gather data, reducing
the number of lasers, you’ll have a more affordable, lowercost
sensor system.”
Although autonomous cars are experimental these days,
Sprinkle believes that in 10 or 20 years we may see cars
that can pull out of the parking garage and drive over to
pick us up at the office.
But before that happens, there’s plenty of research to be
done by thousands of people.
“These procedures are couched in a really serious amount
of nonlinear systems equations, and nonlinear differential
equations,” Sprinkle said. “The problem is how you change
that math into something that executes on a computer.
That’s where software engineering needs to go.
“That’s what I really want to teach my students. Otherwise,
we’re just teaching them to compile things – and that’s no
fun – and how to do data structures. Data structures have
already been done. It’s not new.
“I don’t want just any data structure,” he said.
“I want a data structure that will drive my car.”
10

11
Research Pushes Back
Threshold of Early
Cancer Detection
Early detection is the
single, most important
factor in cancer survival.
That’s why regular
checkups and early
testing are so necessary.
Unfortunately, current
testing methodologies
have limitations that
prevent very early
cancer detection. Cell abnormalities have to reach about 1
mm in size before they can be seen by CT, MRI or
ultrasound scans.
Sometimes problems at the 1 mm scale are hard to detect
with other imaging technologies. In addition, many testing
procedures are expensive, time consuming, and, in the case
of CT scans, involve radiation. For those reasons, testing
isn’t normally done on a frequent basis.
Associate Professor Jennifer Barton is working to
overcome these technical limitations through her research
on Optical Coherence Tomography, known as OCT.
OCT is a noninvasive technique that concentrates a beam
of near-infrared light on tissue. The light penetrates a few
millimeters and is reflected back. This reflected light is
compared with a reference beam – using a process called
interferometry – to build up an image of the cells below
the surface.
OCT is an optical analog of ultrasound, which uses sound
waves, and radar, which uses radio waves. Since light waves
are so much shorter than the shortest sound and radio
waves, OCT can provide much higher resolution.
“Most cancers arise in the thin layer that covers the body,”
said Barton, the Chair of UA’s Biomedical Engineering
Program. “The skin, lining of the colon, esophagus, and
the covering of the ovaries are all epithelial tissues.” The
epithelium is a tissue layer that covers the surfaces and
cavities of the body.
“Subtle changes in tissues, such as when cells are starting
to deviate from normal, are not easy to see,” she said. “The
advantage of optics is the extremely high sensitivity. In fact,
with certain systems, we can detect single molecules.”
The downside is that the light penetrates only a few
millimeters. So the light can’t be beamed at internal tissues
from outside the body, such as with MRIs or CT scans.
However, Barton, her students and other OCT researchers
have been successful in creating tiny catheters that can take
optic fibers into the body. These catheters can be made so
small that they will fit inside coronary arteries.
Three Research Applications
Researchers in Barton’s lab now are working on OCT
applications in three cancer areas: the skin, colon and
ovaries.
Research on skin cancer involves early detection of certain
kinds of pre-cancers, including work at the Arizona Cancer
Center, where researchers are testing new lotions that can
prevent cancer. OCT can help them monitor the effects
of the drugs on a test subject’s skin. The technology also
can be used to accurately determine if a skin lesion is
pre-cancerous.

“This method is about twice as specific at identifying skin
cancer as a dermatologist,” Barton said. “This makes sense,
of course, because the dermatologist will want to err on
the safe side and call some things cancerous that aren’t.
But OCT can be used to follow up the diagnosis because
it is highly accurate in determining whether a pre-cancerous
condition actually exists.”
The colon research involves using tiny catheters to monitor
changes in the colons of lab mice. This research can help
speed drug development because researchers can use
OCT to monitor the progression of disease and the
effects of various drug therapies.
The ovarian imaging is being carried out as an operatingroom
procedure in cooperation with Dr. Kenneth Hatch,
in the UA College of Medicine’s department of obstetrics
and gynecology.
“Ovarian cancer is the deadliest type of gynecological
malignancy,” Barton said. “Once it’s diagnosed, it’s usually
very, very advanced.” OCT is being used in this research
to screen the ovaries of women who are at high risk for
the disease. The tiny probes used for this procedure are
inserted into the patient’s abdomen through small incisions.
Other OCT Applications
OCT has many other applications, Barton noted. The
U.S. Food and Drug Administration already has approved
a device that is being used by some ophthalmologists to
look at retinal nerve fiber thickness. This is important in
monitoring the progression of glaucoma. The technology
also can be used to look for macular holes, retinal
detachment and other eye problems.
Researchers also are using OCT to look inside arteries
for plaques that are likely to rupture or to determine if
stents have been properly placed.
“In the future, we want to improve the performance
of our system with faster imaging speed, higher resolution,
faster data acquisition and better analysis techniques to
extract more information from the images,” Barton said.
“We also want to develop some contrast agents that will
help us target cancer cells.”
“The ultimate goals are to improve patient care and
to educate the next generation of engineers and scientists,”
she added.
Barton has been pursuing OCT research in collaboration
with researchers in the Arizona Cancer Center, the BIO5
Institute, the UA College of Medicine, the department
of molecular and cellular biology, and the department
of physiology.
During the past eight years, Barton has worked with
more than a dozen graduate students, four undergraduates
and a high school intern on OCT research. These students
have come from several disciplines in the UA colleges of
engineering, medicine, science and optical sciences.
12

13
Optical Computing Project Walks Tightrope
Between Speed and Efficiency
For many years the mantra in both the highperformance
computing and PC worlds was
“performance at any cost” – until the costs got
too high.
There was talk of blazing-fast 10 gigahertz chips for
PCs – until the chips gobbled so much power, they
started to melt. In high-performance computing,
or HPC, systems the cost of power – cooling, heat
removal and insulation – was escalating to as much
as the cost of the machine itself. Worse, these factors
were actually degrading performance.
Part of the answer was to build multi-core processors
(several cores on a single chip) that rely on multiple,
slower processors working together to emulate a
faster processor, much as a group of workers might
build a house in a week, whereas one person – no
matter how strong, fast or efficient – would take
months to finish the project.
Multi-core processors and systems working together
highlighted another problem: the limiting factor was
no longer processor speed, but communication. If
the network interconnects can’t match the speed
of the processors, it doesn’t matter how fast the
processors run.
To help solve these problems, the National Science
Foundation is investing almost $1 million in optical
interconnect research being pursued by Professor
Ahmed Louri and his research team in The University
of Arizona department of electrical and computer
engineering.
More Bandwidth, Less Latency
Louri explained that optical interconnects, which rely
on photons instead of electrons, address three major
problems in computer communication: bandwidth,
latency and power consumption.
Bandwidth is the size of the information channel. Just
as a freeway can carry many more cars than a rural,
two-lane road, wider bandwidth translates into moving
information faster.
Latency is the delay between sending and receiving
a signal.
“Optics affords greater bandwidth because you can
pump many more signals down a single fiber,” Louri said.
“You can use multiple colors on the same fiber and they
don’t interact with one another.”
“The biggest benefit is there is no interference between
photons,” he added. “Photons are not charged particles
like electrons. So they don’t ‘talk’ to one another. You
can pack them close together, send a lot of signals and
also save space.”
In fact, optical cables are becoming the standard
connectors linking the back plane of HPC systems.
Going to the Board Level
“But we’re pushing further,” Louri said.“We believe
optical interconnects can provide advantages at the
board level for connecting the thousands of processors
used in HPC systems.”
“Board level” refers to the printed circuit boards inside
a computer.

Because photons are not charged particles, there doesn’t have
to be a voltage difference between their source and destination
as there is with electrons. All those small voltage differences
(charged capacitances, in engineering terms) add up to consume
significant amounts of power.
Similarly, photons travel faster and farther than electrons on
a given amount of energy, further reducing both power
consumption and latency. “Optical interconnects provide
ultra-high throughput, minimal access latencies and low power
dissipation that remains independent of capacity and distance,”
Louri said.
However, just switching to optical interconnects wherever
possible isn’t sufficient, Louri explained. Systems still consume
too much power and there are still issues with bandwidth
and latency.
“So we came up with what’s called dynamical reconfigurability,”
Louri said. “It has two aspects: dynamic bandwidth allocation
and dynamic power management.”
Louri’s research is, in fact, the first in the optical domain to
simultaneously address the issues of performance and power
consumption.
The process begins with globally monitoring the activities of a
network or computing system and making it reconfigurable. So
if 10 percent of the available bandwidth is carrying 80 percent of
the workload, part of the traffic can be shifted to the underused
fibers, effectively increasing the bandwidth. This shift is done
with minimal, if any, disruption to the system, he said.
Sharing the Workload
“The last thing you want is to invest in 10,000 nodes and find
that only 200 of them are shouldering the workload while
the remaining 9,800 are essentially idle,” Louri said.
Similarly, if a line of communication is underloaded, it can be
partially or completely shut down, reducing power consumption.
“When there is an area where power consumption is exceeding
a certain threshold, we can drop it down,” Louri said. “And
when power is not needed in a specific part of the system, we
can shut it down completely.”
“By using these techniques, we can cut power consumption by
almost 46 percent,” he said.
All of this results in faster execution time, improved resource
allocation, reduced processor downtime, reduced latency and
less network congestion.
While the concepts that drive dynamic reconfigurability and
adaptive performance may seem straightforward, implementing
them is extremely difficult.
Part of the problem is the multidisciplinary nature of the work,
which requires an understanding of computer architecture,
networking and optical system design.
“You have to put all these areas together and combine them
with an extensive background in mathematics,” Louri said.
“There’s a lot of mathematical analysis – a lot of detailed
simulation studies – that go into these things.”
Steep Learning Curve
While this makes it difficult for new graduate students to get up
to speed in the program, it makes them extremely marketable at
graduation because they’re ready to address many of the difficult
problems confronting the computer industry.
“There’s a direct relationship between performance and power
consumption,” Louri said. “You have to have a balance. You have
to optimize your performance while you are also monitoring
and optimizing your power utilization, heat removal and power
consumption in the system.”
“That’s why this is a challenge.”
14

15
Self-Healing
Computer
Systems for
Spacecraft
We’ve all heard about the space missions that are DOA when NASA engineers lose touch
with the spacecraft or lander. In other cases, some critical system fails and the mission is
compromised.
Both are maddening scenarios because the spacecraft probably could be easily fixed if
engineers could just get their hands on the hardware for a few minutes.
Assistant Professor Ali Akoglu and his students in ECE are working on hybrid hardware/
software systems that one day might use machine intelligence to allow the spacecraft to
heal themselves.
Akoglu is using Field Programmable Gate Arrays, or FPGAs, to build these self-healing
systems. FPGAs combine software and hardware to produce flexible systems that can
be reconfigured at the chip level.
Because some of the hardware functions are carried out at the chip level, the software
can be set up to mimic hardware. In this way, the FPGA “firmware” can be reconfigured
to emulate different kinds of hardware.
Speed vs. Flexibility
Akoglu explains it this way:There are general-purpose systems, like your desktop computer,
which can run a variety of applications. However, even 3 GHz dual-core processors are
extremely slow compared with hardwired systems.
With hardwired systems, the hardware is specific to the purpose. As an example, engineers
could build a very fast system that would run Microsoft Word but nothing else. It couldn’t
run Excel or any other application. But it would be super fast at what it’s designed for.
“In that case, you have an extremely fast system, but it’s not adaptable,” Akoglu explained.
“When new and better software comes along, you have to go back into the design cycle
and start building hardware from scratch.”
“What we need is something in the middle that is the best of both worlds, and that’s what
I’m trying to come up with using Field Programmable Arrays,” he said.
Work on the self-healing systems began in 2006 as a project in Akoglu’s graduate-level class.
His students presented a paper on the system and sparked interest from NASA, which
eventually provided an $85,000 grant to pursue the work.
Akoglu and his students now are in the second phase of the project, called SCARS (Scalable
Self-Configurable Architecture for Reusable Space Systems). The project is being carried
out in collaboration with the Jet Propulsion Laboratory.

Currently, they are testing five hardware units that
are linked together wirelessly. The units could
represent a combination of five landers and rovers
on Mars, for instance.
“When we create a test malfunction, we try
to recover in two ways,” he explained. “First, the
unit tries to heal itself at the node level by
reprogramming the problem circuits.”
If that fails, the second step is for the unit to try to
recover by employing redundant circuitry. But if
the unit’s onboard resources cannot fix the problem,
the network-level intelligence is alerted. In this case,
another unit takes over the functions that were
carried out by the broken unit.
“The second unit reconfigures itself so it can carry
out both its own tasks and the critical tasks from
the broken unit,” Akoglu explains.
If two units go down and cannot fix themselves, the
three remaining units split up the tasks. All of this is
done autonomously without human aid.
Lightning-Fast Processing
Because FPGAs can be programmed to carry on
tasks simultaneously, they also can be configured to
do lightning-fast processing.
“So if you’re running a loop, and it is running 10,000
times, you can replicate the loop as a processing
element in the FPGA ‘n’ number of times,” Akoglu
explained. “That means you have an ‘n’ times speed-up.” It’s
like creating a huge multicore processor configured for a
specific task.
FPGAs traditionally have been used for prototyping circuits
because their firmware can be reprogrammed. Rather than
creating costly circuits in hardware, engineers can test their
ideas quickly and inexpensively in FPGA firmware.
In the past five years, the amount of circuitry that can be
crammed into FPGAs has increased dramatically, promoting
them from simple test-beds to end products in themselves,
Akoglu explained.
The Ridgetop Group, a Tucson company that specializes
in diagnosing circuit faults using statistical methods, now
is working with Akoglu on the self-healing systems.
“This is the next phase of our project,” Akoglu said. “Our
objective is to go beyond predicting a fault to using a selfhealing
system to fix the predicted fault before it occurs.”
This could lead to extremely stable computer systems that
could operate for long periods without failure.
16

17
Research and
Teaching Facilities
TEACHING LABS
Biomedical Instrumentation Laboratory
Graduate Computer Laboratory
Integrated Information Technology Laboratory
Microwave Engineering Laboratory
Undergraduate Classroom Labs (6)
Undergraduate Computer Laboratory
RESEARCH LABS
Analog Microelectronics Laboratory
Antenna and Packaging Laboratory
Atmospheric Remote Sensing Laboratory
Autonomic Computing Laboratory
Bioinstrumentation Laboratory
Computational Electromagnetics Laboratory
Computer Aided Design Laboratory
Computer Vision Laboratory
Condensed Matter Photonics Laboratory
Digital Image Analysis Laboratory
The ECE Department supports over 45 research and
teaching labs, all housed in a modern building that
includes more than 35,000 square feet of lab space.
Embedded Systems Design Laboratory
Fiber and Integrated Optics Laboratory
High Performance Computing Architectures
and Technologies Laboratory
Information Processing and Decision Systems
Laboratory
Integrated System Design Laboratory
Intelligent Systems Laboratory
Laboratory for Engineering Non-Traditional Sensors
Laboratory for Sensor and Array Processing
Microwave Engineering Laboratory
Millimeter Wave Circuits and Antenna Laboratory
Model Based Systems Design Laboratory
Nanostructures and Circuit Simulation Laboratory
Neuromorphic Vision and Robotics Systems
Laboratory
Numerical Computing Laboratory
Optical Communication Systems Lab
Optical Computing and Processing Laboratory
Optical Materials Research Laboratory
Package and Interconnect Modeling Laboratory
Photonics Systems Laboratory
Reconfigurable Computing Laboratory
Signal and Image Laboratory
Signal Processing and Coding Laboratory
Tissue Optics Laboratory
Ubiquitous and Embedded Computing Systems
Laboratory
Wireless and Advanced Networking Lab
VLSI Design Laboratory

ECE Department
Affiliates Board
Listed here are the members of this important group.
Prof. Chaouki Abdallah
University of New Mexico
Prof. Peter Beudert
UA School of Theatre Arts
Mr. Ken Boyd
IBM
Mr. Paul Brokaw
Analog Devices
Mr. Marco Chierotti
Microsoft
Mr. Kenneth F. Day
IBM
Mr. Jason Denno
US Army Battle Command Battle Lab
Mr. Douglas Goodman
Ridgetop Group, Inc.
Prof. Allan J. Hamilton, MD
UA Department of Surgery
The ECE Affiliates Board was formed to help provide objective,
external guidance into the major activities and functions of our
Department. The Board plays a critical role in ensuring our
curricula are up to date, creating research opportunities for
our faculty, and steering our strategic faculty hires. Many members
are also involved in our senior capstone design program, our
writing assessment program, our ABET accreditation and academic
program review efforts, and other activities that make ECE a
strong, vibrant program.
Prof. Mostafa Kaveh
University of Minnesota
Mr. Brian D. Perry
Raytheon
Mr. Paul Prazak
Texas Instruments, Inc.
Ms. Alison Ryan
Silicon Graphics, Inc.
Dr. Joanna Schmit
Veeco
Ms. Sarah Smallhouse
The Thomas R. Brown Foundation
Mr. Joe Snell
Tucson Regional Economic Opportunities
Prof. Janos Sztipanovits
Vanderbilt University
18

19
ECE Graduate Degrees Awarded
In the 2007-08 Academic Year
August 2007 – May 2008
Doctorate of Philosophy Dissertations
Chad Vaughn Anderson, “Probabilistic Control:
Implications for the Development of Upper Limb
Neuroprosthetics”
Advisor: Charles M. Higgins
Jaime Andres Anguita, “Channel Characterization
and Advanced Techniques for Free-Spaced Laser
Communications”
Advisor: Mark A. Neifeld
Donald Bruyere, “Enhanced Detection of Ground
Targets by Airborne Radar”
Advisor: Nathan Goodman
Huoping Chen, “Self-Configuration Framework for
Network Systems and Applications”
Advisor: Salim Hariri
Tony Ewing, “Time Based Requirements and Partitioning
of Systems with Automatic Test Case Generation”
Advisor: Jerzy W. Rozenblit
Chuan Feng, “Model Based Situational Awareness
Enhancing System for Minimally Invasive Surgical Training”
Advisor: Jerzy W. Rozenblit
Steven Franson, “High Data Rate Modulation Issues
in Millimeter-Wave Metamaterials”
Advisor: Richard W. Ziolkowski
Zhijun He, “System and Algorithm Design for Varve
Image Analysis System”
Advisor: Robert Schowengerdt
Rajanikanth Jammalamadaka, “Multilevel Methodology
for Simulation of Spatio-Temporal Systems:Application to
a Discrete Event Model of the Valley Fever Spread”
Advisor: Bernard P. Zeigler
Bithika Khargharia, “Adaptive Power and Performance
Management of Computing Systems”
Advisor: Salim Hariri
Taekyu Kim, “Ontology/Data Engineering Based
Distributed Simulation Over Service Oriented Architecture
for Network Behavior Analysis”
Advisor: Bernard P. Zeigler
Oleg Krichenko, “A New High-Sensitivity Subsurface
Sensing System”
Advisor: Steven L. Dvorak
Vivek Pant, “Biomimetic Visual Navigation Architectures
for Intelligent Systems”
Advisor: Charles M. Higgins
Fei Peng, “Coded Non-Ideal OFDM Systems: Analysis
and Receiver Designs”
Advisor: William E. Ryan
Lingling Pu, “Joint-Source/Channel Coding for JPEG2000”
Advisor: Michael W. Marcellin, Bane Vasic
Haiyan Qiao, “Multiagent Learning with Bargaining –
A Game Theoretic Approach”
Advisor: Jerzy W. Rozenblit
Yeliang Zhang, “Physics Aware Programming
Paradigm and Runtime System”
Advisor: Salim Hariri
Master of Science Theses
Rami Al-Motlak, “A Distributed Computing Framework
for Parallelization of Course of Actions Co-evolution in
Multi-Sided Conflicts”
Advisor: Jerzy W. Rozenblit
Lahiru Ariyananda, “Graphical User Interface
Representation and Generation Using System
Entity Structures”
Advisor: Bernard P. Zeigler
Jun Hyeong Bae, “Adaptive Waveform for Targets
Class Discrimination”
Advisor: Nathan Goodman
Ravi Balasubramanian, “Coverage Time Optimization in
Sensor Networks”
Advisor: Srinivasan Ramasubramanian
Sriram Balasubramanian, “Wet Etching of High K
Dielectrics in HF-Based Solutions”
Advisor: Srini Raghavan

Thomas Butler, “Multistatic Target Classification
with Adaptive Waveforms”
Advisor: Nathan Goodman
Archana Chandrasekaran, “Calibration and Quality
Control of Clinical Spectroscopy Systems”
Advisor: Urs Utzinger
Paul Gensheimer, “Design of THz Traveling
Wave Tubes”
Advisor: Christopher Walker, Richard W. Ziolkowski
George Batshon Hussam, “Mitigation of Impairments
in High-Speed Optical Networks”
Advisor: Bane Vasic
Jinsoo Jeon, “Membrane-Template Digitated Capacitor”
Advisor: Olgierd Palusinski
Jared Williams Jordan, “Modeling and Experimental
Validation of Low-Frequency, High-Moment Transmitter
Rod Antennas”
Advisor: Steven L. Dvorak
Rahul Kalra, “Priority Based Hardware Task Scheduling
with Tile Locking for Reduced Runtime Reconfiguration
of Dynamically Reconfigurable FPGAs”
Advisor: Roman Lysecky
Aarthi Arun Kumar, “Design and Evaluation of
Protocol-Based Intrusion Detection Sensors”
Advisor: Salim Hariri
Se Hoon Lim, “Field-of-View Extender for a Thin
Camera System”
Advisor: Raymond Kostuk
Christopher McPherson, “Development of the
Constrained Ratio Aerosol Model-fit Technique for
Atmospheric Aerosol Retrieval from Lidar Measurements”
Advisor: John A. Reagan
Michalis K. Michaelides, “Early Detection of Ovarian
Cancer Using Fluorescence Spectroscopy and Parallel
Factor Analysis”
Advisor: Urs Utzinger
Ajay Sudhakrishnan Nair, “Non-Instrusive Dynamic
Application Profiling for Characterizing Detailed Execution
Behavior”
Advisor: Roman Lysecky
Vivek Singaram Nandakumar, “Development of a
Portable In vivo Knee-Joint Load Monitoring Device”
Advisor: Urs Utzinger
Rajagopalan Narasimhan, “An Integrated Technique
for Volume Estimation of Spots in 3-D Human Cell
Cultures: Watersnakes”
Advisor: Jeffrey J. Rodriguez
Aravind Oommen, “Low Power and Variational
Design Methods for ULSI”
Advisor: Janet Wang Roveda
Katharina O’Toole, “Voice Comments in the 24-Hour
Knowledge Factory”
Advisor: Jerzy W. Rozenblit
Audip Pandit, “Pre-Placement Net Length Prediction
and Improvements to the FPGA Clustering Algorithm”
Advisor: Ali Akoglu
Mehul Bhupendra Patel, “Image Analysis Algorithms
for Ovarian Cancer Detection Using Confocal
Microendoscopy”
Advisor: Jeffrey J. Rodriguez
Juan Manuel Russo, “Temperature Dependence
of Holographic Filters in Phenanthrenquinone-Doped
Poly (methyl methacrylate)”
Advisor: Raymond K. Kostuk
Lance Salhanha, “Hardware/Software Partitioning of
Floating Point Software Applications to Fixed-Point
Coprocessor Circuits”
Advisor: Roman Lysecky
Jamie Nicole Samdal, “24-Hour Knowledge Factory
in Software Development”
Advisor: Jerzy W. Rozenblit
Dheepan Shanmugasundaram, “Finite Point Based
Current Source Model for Gates Considering Process
Variations”
Advisor: Janet Wang Roveda
Kartik Sinha, “Predicting Analog Circuit Performance
with Chebyshev Affine Arithmetic”
Advisor: Janet Wang Roveda
Min-Kyu Song, “A Fast-Transient Dual-Loop Observation-
Based DC-DC Converter with z-Domain SC Noise-Shaping
and DVS Regulation”
Advisor: Dongsheng Ma
Deepak Sreedharan, “Hybrid Processing Element Based
Reconfigurable Architectures for Cryptography Algorithms”
Advisor: Ali Akoglu
Matthew Michael Veins, “A Reduced Complexity Iterative
Decoder for LDPC Codes”
Advisor: William Ryan
Sandeep Kumar Venishetti, “FPGA Based
Implementation of IEEE754 Compliant Double Precision
Floating Point Arithmetic Units”
Advisor:Ali Akoglu
Peng Wu, “Transmit Power and Rate Control in Cognitive
Radio Networks”
Advisor: Shuguang Cui
Wei Wu, “Direction Finding Algorithms for a Switched-
Element Antenna Array”
Advisor: Nathan Goodman
Ho-Hsin Yeh, “Low Loss Varactor-Based Reconfigurable
Impedance Matching Network in Open-Loop Controlled
Tuning Radio”
Advisor: Kathleen Melde
20

21
Faculty Bios
Assistant Professor Ali Akoglu received his
Ph.D. degree in computer science from Arizona
State University in 2005, and is now the director
of the Reconfigurable Computing Lab in ECE. His
research interests lie in the fields of reconfigurable
architectures, high performance scientific computing
and CAD tools for FPGA design, and application
specific instruction set processor design. His recent
interests include developing high performance
floating point arithmetic core for reconfigurable
systems, FPGA based built in self testing and self
healing for deep spacecraft missions and coarse
grain reconfigurable architecture tailored to video
compression applications.
Associate Professor Jennifer Barton
received the B.S. and M.S. degrees in electrical
engineering from the University of Texas at Austin
and University of California, Irvine, respectively.
She worked for McDonnell Douglas on the Space
Station program before returning to UT to obtain
the Ph.D. in Biomedical Engineering in 1998. Since
that time she has been an assistant and associate
professor of Biomedical Engineering, ECE, and
Optical Sciences at UA. Her research interests
include optical coherence tomography and
fluorescence spectroscopy of skin, colon, ovary,
and laser-blood (vessel) interaction. Particular
emphasis has been paid to early detection of
epithelial cancers, the healing response to artificial
implants, and dynamic optical
properties of blood during
photocoagulation. Barton is
currently the Chair of UA’s
Biomedical Engineering
Program.
Professor John Brews is engaged in modeling
modern MOSFETs and high-speed interconnections.
He received the 1999 EDS Distinguished Service
Award, Electron Devices Society, Institute of
Electrical and Electronics Engineering, is a former
Editor-in-Chief of Institute of Electrical and Electronics
Engineering Electron Device Letters, and is a Fellow
of the IEEE. He received his Ph.D. in electrical
engineering from McGill University in 1965.
Assistant Professor
Ivan Djordjevic
presently directs
the Optical
Communications
Systems Laboratory
(OCSL). Prior to
his appointment in
August 2006, he
was with University
of Arizona,Tucson, USA;
University of the West
of England, Bristol, UK;
University of Bristol, Bristol, UK; Tyco Telecommunications,
Eatontown, USA; and National Technical
University of Athens,Athens, Greece. His current
research interests include optical networks, error
control coding, constrained coding, coded
modulation, turbo equalization, OFDM applications,
and quantum communications. Djordjevic is author
of more than 100 international publications, and
serves as an Associate Editor for Research Letters
in Optics.

Professor Steven L. Dvorak received his
B.S. (1984) and Ph.D. (1989) degrees in electrical
engineering from the University of Colorado,
Boulder. Now a full Professor, he served as an
Assistant Professor in this department from 1989
to 1996, and an Associate Professor from 1996 to
2004. Dvorak previously held a position with TRW
Space and Technology Group from 1984 to 1989.
His principal interests include electromagnetic
modeling of high-speed interconnects, electromagnetic
transients, wave propagation, theoretical
and computational electromagnetics, optics,
geophysical applications of electromagnetics, applied
mathematics, and microwave measurements. He has
over 43 journal publications, over 60 conference
papers, and has been awarded three U.S. patents.
Assistant Professor Michael
Gehm received his Ph.D. and
A.M. degrees in physics from
Duke University in 2003 and
1998, respectively, and a B.S. in
mechanical engineering from
Washington University in
St. Louis in 1992. Prior to
arriving at UA, Gehm was
a postdoctoral research
associate and then an assistant
research professor in the
Department of Electrical
and Computer Engineering at Duke University.
In addition to seven issued and pending patents
for his sensor work, he has over 40 publications
in major journals and conference proceedings
on wide-ranging topics from novel sensor designs
to the physics of ultra-cold atomic gases. His
current research interests include non-traditional
measurement and sensor systems, fabrication of
integrated terahertz photonic structures, and
applied optical physics.
Assistant Professor
Nathan A. Goodman
has primary research interests in radar systems,
signal processing for RF and imaging systems, and
cognitive sensors, and he directs the laboratory for
sensor and array processing. He received the B.S.,
M.S., and Ph.D. degrees in electrical engineering from
the University of Kansas in 1995, 1997, and 2002,
respectively. From 1996 to 1998, he was an RF
Systems Engineer for Texas Instruments, Dallas,TX,
and was awarded the Madison A. and Lila Self
Graduate Fellowship from the University of Kansas
in 1998. He was also awarded the IEEE 2001
International Geoscience and Remote Sensing
Symposium Interactive Session Prize Paper Award.
Goodman served as chair of the student paper
program for the 2006 International Waveform
Diversity and Design Conference. His current
research projects include “3D Radar Imaging of
Ballistic Targets: Generalized Theory of Space-Time
Adaptive Processing,” and “Cognitive Radar.”
Professor Salim Hariri received the Ph.D. in
computer engineering from the University of
Southern California in 1986, and the M.S. from
the Ohio State University in 1982. Hariri is the
Editor-In-Chief for the Cluster Computing Journal that
presents research techniques and results in the area
of high speed networks, parallel and distributed
computing, software tools, and network-centric
applications. He is the Founder of the IEEE
International Symposium on High Performance
Distributed Computing (HPDC) and the co-founder
of the IEEE International Conference
on Autonomic Computing. His current
research focuses on autonomic
computing, high performance distributed
computing, design and analysis of high
speed networks, benchmarking and
evaluating parallel and distributed
systems, developing software design
tools for high performance computing
and communication systems, and
network-centric applications. He is
co-author/editor of four books on
autonomic, parallel, and distributed
computing.
22

23
Associate Professor Charles M. Higgins
received the Ph.D. in electrical engineering from
the California Institute of Technology in 1993. He
worked in the Radar Systems Group at MIT Lincoln
Laboratory until 1996, when he returned to Caltech
as a postdoctoral research fellow in the Division
of Biology studying engineering applications of
visual neuroscience. In 1999, he joined the ECE
Department at the University of Arizona, where he
is now Associate Professor with a joint appointment
in the Division of Neurobiology. His research
focuses on investigation and engineering application
of neurobiological computational and control
architectures and data representations, particularly
in the area of insect visual motion processing and
associated motor control. Projects in this area range
from electrophysiology and simulation modeling to
the construction of biologically-inspired analog/digital
custom VLSI vision chips and hybrid bio-robotic
systems.
Professor Raymond K. Kostuk has a joint
professor position with UA’s ECE Department and
the College of Optical Sciences. He received a B.S.
degree at the U.S. Coast Guard Academy, an M.S.
from the Institute of Optics at the University of
Rochester, and a Ph.D. in electrical engineering from
Stanford University. After completing his Ph.D. in
1986 he spent a year at the IBM Research Center in
Almaden, California. His primary area of expertise is
in holographic concepts, materials, and applications.
He is currently investigating the application of
holography and low coherence techniques to
medical imaging problems. He has projects on
optical coherence tomography and the use of
volume holograms for obtaining spatial and
spectral information from biological tissue.
In another project he is investigating the use
of holographic optical elements to realize
compact non-conventional solar photovoltaic
concentrators. His group is also investigating
techniques to enhance the optical collection
efficiency of low cost photovoltaics and to
develop holographic spectrum splitting
concentrators. He is a Fellow of the Optical
Society of America and the Society of Photo
Instrumentation Engineers (SPIE) and the
holography associate editor for Applied Optics.
He is also the current Kenneth VonBehren Professor
of ECE, co-chair of the holography working group
for the SPIE, and a Member of the IEEE.
Professor Marwan Krunz is the director of the
advanced networking and wireless communications
group within the ECE Department. He received his
Ph.D. degree in electrical engineering from Michigan
State University in 1995, and was a postdoctoral
research associate with the Department of
Computer Science at the University of Maryland,
College Park from 1995 to 1997. His research
interests lie in the fields of computer networking
and wireless communications, and he is currently
investigating power/rate control in wireless and
sensor networks, channel access and routing
protocols, media streaming, quality of service
routing, and optical networking. Krunz is a recipient
of the National Science Foundation CAREER Award
(1998-2002). He currently serves on the editorial
board for the IEEE/ACM Transactions on
Networking, the
IEEE Transactions on Mobile Computing, and the
Computer Communications Journal.

Assistant Professor Loukas Lazos completed
his M.S. and Ph.D. degrees in Electrical Engineering
at the University of Washington, and obtained his
undergraduate diploma in Electrical and Computer
Engineering at the National Technical University of
Athens, Greece. Before joining the University of
Arizona, Lazos was a Co-director of the Network
Security Lab at the University of Washington.
His current research interests are in the areas
of networking and distributed systems, focusing
on identification, modeling, and mitigation of
network security vulnerabilities in wireless
networks, and analysis of network performance.
Associate Professor
M. Anthony Lewis
received his B.S. in
Cybernetics from UCLA
and his M.S. and Ph.D. in
Electrical Engineering from
USC. Lewis has held
positions at UCLA as a
director of the Commotion
Robotics lab; at the
University of Illinois,
Urbana-Champaign as a
Visiting Assistant Professor;
and as staff at the Jet Propulsion Laboratory and
Hughes Aircraft. While Lewis has made significant
contributions to evolutionary robotics, cooperative
robotics, and neurorobotics, his current research
focuses on Biological Models of Visuomotor
Behavior, Consumer Robotics, and Hardware
implementations of Central Pattern Generators.
He is recipient of the NASA New Technology
Award (1994), Best Paper award (2003 EURISAP
Journal of Applied Signal Processing), and Best Vision
Paper Finalist at the 2002 International Conference
on Robotics and Automation. Lewis holds four
patents and has authored or co-authored more
than 70 scholarly publications.
Professor Ahmed Louri received the Ph.D.
degree in computer engineering in 1988, and the
M.S. degree in Computer Engineering in 1984 –
both from the University of Southern California,
Los Angeles. Louri is currently the Director of
the High-Performance Computing Architectures &
Technologies (HPCAT) Laboratory. His research
interests include computer architecture, parallel
processing, optical computing systems, and optical
interconnection networks. He has published
numerous journal and conference articles on the
above topics. He is the recipient of the Best
Article Award from IEEE Micro, the recipient of
the National Science Foundation Research
Initiation Award, the Advanced Telecommunications
Organization of Japan Fellowship, Centre Nationale
de Recherche Scientifique (CNRS), France,
Fellowship, and the Japan Society for the Promotion
of Science Fellowship. Louri is a Senior Member
of IEEE, and a regular member of OSA.
Assistant Professor Roman
Lysecky received the B.S., M.S.,
and Ph.D. degrees in computer
science from the University of
California, Riverside in 1999, 2000,
and 2005, respectively. His primary
research interests focus on
embedded systems design, with
emphasis on dynamic adaptability,
hardware/ software partitioning,
hardware observability, field
programmable gates arrays (FPGAs),
and low-power methodologies. He
has coauthored two textbooks on hardware
description languages, entitled VHDL for Digital
Design and Verilog for Digital Design, published
dozens of research papers in top journals and
conferences, and holds one U.S. patent. He received
the Best Paper Award at the Design Automation
and Test in Europe Conference (DATE) and
received the Outstanding Ph.D. Dissertation
Award from the European Design and Automation
Association (EDAA) in 2006 for new directions in
embedded system design and embedded software.
24

25
Assistant Professor Susan Lysecky
received the M.S. and Ph.D. degrees in computer
science from University of California, Riverside in
2003 and 2006, respectively. Her research interests
include embedded system design with emphasis on
low-power design, sensor networks, and facilitating
the design and configuration of sensor networks
by non-engineers (such as scientists, agriculturalists,
military personnel, and home owners). Additionally,
she is interested in self-configuring systems, efficient
architectures, and human computer interaction. She
is currently working on enhancing science and math
education by developing basic intuitive building
blocks students can implement a variety of hands-on
curriculum related projects without having any
programming or electronics knowledge.
Assistant Professor
Dongsheng Ma received his
B.S. degree with highest honors
and M.S. degree in electronic
science from NanKai University in
1995 and 1998, respectively. He
received his Ph.D. degree at the
Hong Kong University of Science
and Technology (HKUST). Ma is
currently the Analog Devices
Endowed Chair Professor in ECE,
and his research involves analog
and mixed-signal integrated circuit
(IC) design, advanced integrated power electronics,
integrated communication, and biomedical systems.
He is the recipient of the 2006 University of Arizona
AAFSAA Outstanding Faculty Award, the 2004
IEEE/ACM ASPDAC Best Design Award, as well
as the 2007 IEEE/ACM ICCAD Best Paper Award
Nomination. Ma is a senior member of IEEE,
a member of ASEE, and serves as a frequent
technical committee member and session chair
in premier IEEE/ACM technical conferences.
Professor Michael W. Marcellin graduated summa
cum laude with the B.S. degree in electrical engineering
from San Diego State University in 1983, where he
was named the most outstanding student in the
College of Engineering. He received the M.S. and
Ph.D. degrees in Electrical Engineering from Texas
A&M University in 1985 and 1987, respectively. Now
a Regent’s Professor of Electrical and Computer
Engineering, he has been with UA since 1988, and
also serves as the International Foundation for
Telemetering Distinguished Professor. Marcellin’s
research interests include digital communication and
data storage systems, data compression, and signal
processing. He is a major contributor of technology
to JPEG2000, the emerging second-generation
standard for image compression. Throughout the
standardization process, he chaired the JPEG2000
Verification Model Ad Hoc Group that was responsible
for the software implementation and documentation
of the JPEG2000 algorithm. He is coauthor of the
book, D.S.Taubman and M.W. Marcellin, JPEG2000:
Image Compression Fundamentals, Standards and
Practice. Marcellin is an IEEE Fellow and a member
of Tau Beta Pi, Eta Kappa Nu, and Phi Kappa Phi.
Associate Professor Michael M. Marefat is
director of the Knowledge Systems Engineering
Laboratory, and has been a principal architect of the
Intelligent Visualization Agent developed there. He
previously worked at the Schlumberger Laboratory for
Computer Science, the Purdue Engineering Research
Center for Intelligent Manufacturing Systems, and the
Baylor Digital Imaging Laboratory. Marefat received
the Ph.D. and M.S. in electrical engineering from
Purdue University, and the B.S. in electrical and
computer engineering and
B.A. in mathematical sciences
from Rice University. His
research has focused on
knowledge-based systems,
visualization, computer
graphics, machine vision,
and CAD.

Associate Professor Kathleen L. Melde
received the B.S. degree from California State
University, Long Beach in 1985, the M.S. degree
from California State University, Northridge, in
1987, and the Ph.D. degree from UCLA in 1996,
all in electrical engineering. From 1985 to 1996
she worked in the Radar Systems Group at Hughes
Electronics in El Segundo, CA, where she gained
extensive experience in modeling, fabrication and
measurement of the performance of antennas,
antenna arrays, high-density microwave circuits,
and high-speed packaging interconnects. In 1996
Melde joined UA’s ECE faculty, and has focused her
research on applied electromagnetics, antenna
theory and design, and microwave circuit design.
Her current projects involve antenna element
design and characterization, high speed electronic
packaging, high-frequency characterization, and the
development of circuits for intelligent RF front ends.
Melde is a Senior Member of the IEEE and a
member of the Antennas and Propagation (AP-S)
and Microwave Theory and Techniques (MTT)
Societies. She is also a member of URSI
(International Radio Science Union), Eta Kappa
Nu,Tau Beta Pi, and Sigma Xi. She has over 70
publications and four US patents, and has been
an expert witness and consultant in the area of
RF circuits and antennas.
Professor Mark A. Neifeld
received the B.S. degree in
electrical engineering from the
Georgia Institute of Technology
in 1985, and the M.S. and Ph.D.
degrees in electrical engineering
from the California Institute of
Technology in 1987 and 1991,
respectively. During the 1985-86
academic year he was also a member of the
technical staff in the TRW systems engineering
and analysis laboratory in Redondo Beach, CA.
Following completion of his dissertation at Caltech,
he accepted a one year post doctoral position at
the NASA Jet Propulsion Laboratories in Pasadena,
CA, where he studied the application of parallel
image processing techniques to problems in target
recognition. In August 1991 he joined the faculty of
the ECE Department at the University of Arizona
where he now directs the Optical Computing and
Processing Laboratory (OCPL). Current OCPL
research activities include: optical imaging (ultrathin
cameras, distributed camera networks, nontraditional
cameras based on compressive imaging,
digital holography, and active/structured light); optical
communications (modulation and coding for fiber
and free-space, slow light optical delay); optical data
storage (volumetric optical memory); and aspects
of optics in computing such as optical neural
networks, optical pattern recognition, and novel
optoelectronic devices and CAD. Neifeld is a
Fellow of the Optical Society of America and
serves as a Topical Editor for Applied Optics.
Professor Olgierd Palusinski received his
Ph.D. from the Technical University of Silesia. His
research areas include signal integrity in circuits
and systems, phase noise in oscillators, interconnect
modeling and simulation, electronic packaging, nanoscale
structures, and passive devices. Currently
working on a digitized energy storage device
with nanostructures for micro-power
generation, Palusinski has had sabbatical stays
at the Advanced Packaging Development
Center, Logic Analog Technology, and Wireless
Infrastructure Systems Groups of Motorola
Inc., and has consulted for Motorola in the
area of Field Programmable Analog Arrays
and data converters for wireless applications.
He has over 40 publications in refereed
journals as well as numerous publications
in conference proceedings.
26

27
Associate Professor Harold G. “Skip” Parks
received the B.S. from Lowell Technological Institute in
1964, the M.S. from Syracuse University in 1969, and the
Ph.D. from Rensselaer Polytechnic Institute in 1980, all
in electrical engineering. His research interests are in
semiconductor devices and modeling, test structures,
yield engineering, yield modeling, and semiconductor
processing. Prior to coming to UA, he was a member
of the Technical Staff, General Electric Company,
Corporate Research and Development Center in
Schenectady, NY. At GE his research activity was in
VLSI yield and parametric test engineering, thin film
processing (a-Si LCD displays, Laser re-crystallized FETs),
semiconductor processing (CCD, CID), laser annealing,
charged particle optics (focus/deflection system design
for electron and ion beam lithography and memory
systems), electron bombardment studies. Parks is a
Senior Member of the IEEE, Member of the Electrochemical
Society and a Member of Eta Kappa Nu. He
is a co-author of the book Advanced CMOS Process
Technology and author or co-author of more than 80
publications. Parks has been granted 19 U.S. patents
and 1 European patent.
Associate Professor Kelly Simmons-
Potter received the B.S. degree in physics
from Florida State University in 1986,
and the M.S. and Ph.D. degrees in optical
sciences in 1990 and 1994, respectively,
both from the University of Arizona. Her
areas of expertise include band-structure
effects in optical solid-state materials and
devices, as well as the development of
elements for integrated optical systems
using both optically active and passive novel
photowritable materials. Simmons-Potter’s
specific research involves the examination
of single and multi-photon processes leading to both
linear and non-linear response in optical materials as
a result of exposure to either ionizing or non-ionizing
radiation. She is also conducting research into the
impact of defect physics on material optical behavior,
waveguide device design, and optical device performance.
Prior to joining the faculty at UA in 2003, where she
has a joint appointment in the College of Optical
Sciences, Simmons-Potter was a Principal Member of
the Technical Staff and Program Manager for Advanced
Optical Technologies at Sandia National Laboratories.
In 2000 she co-authored the book Optical Materials
with J. H. Simmons.
Professor Linda S. Powers is the Thomas
R. Brown Professor of BioEngineering, Professor
of ECE, and Director of the National Center
for the Design of Molecular Function. Before
joining the UA faculty in January 2007, she was
Professor of ECE and Biological and Irrigation
Engineering at Utah State University. Powers
was a member of the technical staff of AT&T
Bell Laboratories from 1976 to 1988. She has
a broad scope of expertise from biochemistry
to electrical engineering, and has considerable
experience in hemeprotein catalysis, structural
biology, and the design and construction of
optical and X-ray instrumentation for biomedical
applications. Her current research areas include
the development of microbe detection and
capture technology. This work led to several
patents. Powers was a pioneer in the use
of X-ray absorption spectroscopy for the
investigation of biological problems and has
authored more than 120 technical publications
in refereed scientific and engineering journals
and books. She is a Fellow of the American
Physical Society (1983) and the American
Institute of Chemists (1987) and her honors
include the US Bioenergetics Award of the
Biophysical Society (1982) and the State of
Utah Governor’s Medal for Science and
Technology (1994). Powers completed her
M.A. in physics and Ph.D. in biophysics (1976)
at Harvard University.

Associate Professor Srinivasan
Ramasubramanian received the B.E. degree
with honors in electrical and electronics engineering
from Birla Institute of Technology and Science
(BITS), Pilani, India, in 1997, and the Ph.D. degree in
computer engineering from Iowa State University
in 2002. He is a co-developer of the Hierarchical
Modeling and Analysis Package (HIMAP), a reliability
modeling and analysis tool, which is currently being
used at Boeing, Honeywell, and several other
companies and universities. His research interests
include architectures and algorithms for optical and
wireless networks, sensor networks, multi-path
routing, fault tolerance, system modeling, and
performance analysis. He has served as the TPC
Co-Chair of BROADNETS 2005 and ICCCN 2008
(Optical Networking Track) conferences and is an
editor of the Springer Wireless Networks Journal.
He is recipient of the Outstanding Service Award
at BROADNETS 2004 conference; and the Award
for Excellence at the Student Interface at the
University of Arizona in 2006.
Associate Professor Jeffrey J. Rodriguez
received his Ph.D. in Electrical Engineering in 1990
from the University of Texas at Austin. His research
interests include digital signal and image processing
and analysis, with applications in biomedicine and
telecommunications. Recent projects include
automated texture analysis for tissue classification,
segmentation of 3-D medical images, digital
watermarking, hardware development and software
design for real-time digital flow cytometry, and
wavelet-based color image denoising. He is
currently a faculty member in the Biomedical
Engineering
Interdisciplinary
Program.
Professor Jerzy W. Rozenblit is the Raymond
J. Oglethorpe Professor and Head of the Electrical
and Computer Engineering Department at The
University of Arizona. He also holds an appointment
as Professor of Surgery in UA’s College of Medicine.
During his tenure, he has established the Model-
Based Design Laboratory with major projects
in design and analysis of complex, computer-based
systems, software engineering, embedded systems,
and symbolic visualization. The projects have been
funded by the National Science Foundation, US
Army, Siemens, Infineon Technologies, Rockwell,
McDonnell Douglas, NASA, Raytheon, and Semiconductor
Research Corporation. He has extensive
teaching experience and conducts a vigorous
graduate program as evidenced by many successful
Ph.D. and M.S. students and Best Teacher awards.
He had served as a research scientist and visiting
professor at Siemens AG and Infineon AG Central
Research and Development Laboratories in Munich,
where over the last decade he was instrumental in
the development of design frameworks for complex,
computer-based systems. For the last eleven years,
he has led a vigorous research program in
visualization, human-computer interaction, and
artificial intelligence funded by the U.S.Army.
Currently, jointly with the Arizona Surgical
Technology and Education Center, he is developing
virtually assisted surgical training methods and
systems, and computer-guided techniques
for minimally invasive surgery.
28

29
Professor William E. Ryan received his Ph.D.
degree in electrical engineering from the University
of Virginia in 1988 after receiving the B.S. and M.S.
degrees from Case Western Reserve University
(1981) and the University of Virginia (1984),
respectively. Ryan held positions in industry for five
years, first at The Analytic Sciences Corporation, then
at Ampex Corporation, and finally at Applied Signal
Technology. His research interests are in coding and
signal processing, with applications to data storage
and data communication. Ryan has over 90
publications in leading conferences and journals in
the area of communication theory and channel
coding, and is co-author (with Shu Lin) of the
upcoming Principles of Channel Codes for Reliable
Communication and Storage, Cambridge University
Press. He was an associate editor for the IEEE
Transactions on Communications from 1998 through
2005, General Chair of the 2003 Communication
Theory Workshop and the 2007 Information
Theory Workshop, and is currently a Senior
Member of the IEEE.
Assistant Professor
Jonathan Sprinkle is
a graduate of Vanderbilt
University (Ph.D., M.S.) and
Tennessee Technological
University (B.S.). Until June
2007, he was the Executive
Director of the Center for
Hybrid and Embedded
Software Systems at the
University of California,
Berkeley. He works with
target platforms such as
unmanned ground and air vehicles, including
autonomous cars. His research interests and
experience are in systems control and engineering,
through modeling and metamodeling, and he teaches
in controls and systems modeling.
Professor Robin N. Strickland received B.Eng.
and Ph.D. degrees in electrical and electronic
engineering from Sheffield University, England, in
1975 and 1979, respectively. From 1979 to 1982 he
was a research associate with the Optical Sciences
Center at the University of Arizona, working on
digital image processing projects, including the
Pioneer 11 Saturn imaging project. He served as
Associate Department Head of ECE from 1999-
2002, during which time he directed undergraduate
academic programs in electrical engineering and
computer engineering, devoting much time to ABET
EC2000-style assessment of the program and its
courses. He is a Senior Member of IEEE, and
recipient of the Presidential Young Investigator
Award (1984), the IEEE Region 6 Technical
Achievement Award (1986), the IEEE/Eta Kappa
Nu Award for Teaching Excellence (1996), the
Anderson Prize for Engineering Education (1999),
and ECE Department Teaching Awards (2000,
2002, 2004, and 2007).
Professor Malur K. Sundareshan received
the B.E. degree in electrical engineering from the
Bangalore University, Bangalore, India in 1967, and
the M.E. and Ph.D. degrees in electrical engineering
from the Indian Institute of Science, Bangalore, India
in 1969 and 1973, respectively. He has been on the
ECE faculty since 1981, and continues to direct the
Information Processing and Decision Systems
Laboratory. His research interests, which have been
sponsored chiefly by key federal agencies, are in
signal and image processing, control and guidance,
computer/communication networks, and neural
network theory and applications. He is the author
or co-author of numerous papers in these areas and
is a co-author of the book Fullerene C60: History,
Physics, Nano-biology and Nanotechnology. He
has also served as a consultant to Burr-Brown
Corporation, Rockwell
International, Battelle
Research Laboratories,
Johnson Smith
University, and
National Optical
and Astronomical
Observatories.

Professor Miklos Szilagyi received his Ph.D.
from the Electrotechnical University of Leningrad
in 1965. His major research fields include
electron and ion optics, electromagnetics,
computer-aided design, artificial intelligence,
neural networks, and computer simulation. His
current research interest is agent-based nonlinear
dynamic system simulation with emphasis
on simulation of large organizations and social
phenomena. Recently, he developed a software
tool for investigating collective behavior of large
numbers of decision makers in a stochastic
environment.
Associate Professor Hal Tharp received
the B.S. from the University of Missouri-Rolla
in 1981, and the M.S. and Ph.D. degrees from
the University of Illinois at Champaign-Urbana
in 1983 and 1986, respectively, all in electrical
engineering. He is the current Associate
Department Head of ECE, as well as the
Lockheed Martin Professor. His research
interests are in control and optimization and
their application to real-world challenges.
Professor Bane
Vasic received the
B.S., M.S., and Ph.D.
degrees in electrical
engineering from the
University of Nis, Serbia
in 1989, 1991, and
1994. Prior to his joint appointment in ECE and
Mathematics at the University of Arizona, he was
at Bell Laboratories where he developed an errorevent
correction algorithm that is implemented in
virtually all of today’s magnetic hard drives. His
pioneering work on structured low-density parity
check (LDPC) codes has lead to their applications
in magnetic recording and optical communications.
Vasic holds numerous patents, is an author of more
than 350 papers, and editor of three books in this
area. His research interests include coding theory
and constrained systems and their application in
information storage, optical communications,
physics, and genetics. His current projects include
theoretical foundations of fault-tolerant memories,
gene regulatory networks and deoxyribonucleic
acid (DNA) repair, orbital angular momentum
coded-modulation, two dimensional coding and
detection for patterned megnetic media, and
LDPC code s for data storage systems.
Assistant Professor Janet
Meiling Wang Roveda received
the B.S. degree in computer science
from the East China Institute of
Technology in 1991, the M.E. degree
in computer science from the
Institute of Computing Technology
at the Chinese Academia of Sciences
in 1994, and the M.S. and Ph.D.
degrees in electrical engineering
from the University of California,
Berkeley, in 1997 and 2000,
respectively. Her current research
interests include VLSI CAD for nanotechnology,
design for low power and robustness, on-chip and
off-chip interconnect modeling, and bio-information
model based on computational fluid dynamics. Wang
Roveda received the 2005 NSF CAREER Award
and the 2006 Presidential Early Career Award for
Scientists and Engineers (PECASE) for her research
into building electronics design automation software
tools. More recently, she received UA’s Outstanding
University Achievements Award in 2007 and the
2008 R. Newton Award from the Design
Automation Conference.
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31
Assistant Professor Hao Xin received the
B.S. degree in physics and mathematics Summa
cum Laude from the University of Massachusetts
at Dartmouth in 1995, and the Ph.D. degree from
Massachusetts Institute of Technology (MIT) in
February 2001. He directs the Millimeter Wave
Circuits and Antenna Laboratory in ECE, which is
currently working on a broad range of millimeter
wave research projects including novel electronically
scanned antenna, monolithic microwave integrated
circuits (MMIC), 3-D integrated mmW circuits and
antennas, meta-material based mmW components,
high frequency nano-devices and antennas, and novel
biological inspired microwave signal direction finding.
Before joining UA in 2005, he held a program
manager position at the RF and Radar Center of
Raytheon Missile Systems, and a research scientist
position with the Rockwell Scientific Company.
Xin is a member of IEEE and has published about
60 refereed papers in the areas of solid-state physics,
microwave and millimeter-wave circuits and
antennas, electromagnetic crystals and the
applications thereof in microwave and millimeterwave
technologies. He has 12 patents issued and
1 patent pending in the areas of microwave and
millimeter-wave technologies, random power
harvesting based on ferro-fluidic nano-particles,
and carbon nano-tube based devices.
Professor Bernard P. Zeigler is internationally
known for his seminal contributions in modeling and
simulation theory. He has published several books
including Theory of Modeling and Simulation, and
Modeling & Simulation-Based Data Engineering, and
numerous research articles on the Discrete Event
System Specification (DEVS) formalism that he
invented in 1976, and which is now being used
world-wide in advanced information systems.
Zeigler is the lead architect for the award-winning
Automated Test Generator that is revolutionizing
standards conformance testing of Joint Department
of Defense information systems. A Fellow of the
IEEE and the Society for Modeling and Simulation,
International (SCS), he is also developing DEVSmethodology
approaches for testing
mission thread interoperability
and effectiveness of Defense
Department transitions to the
Global Information Grid with its
Service Oriented Architecture.
Professor Richard Ziolkowski received the
Sc.B. degree in physics magna cum laude with
honors from Brown University in 1974, and the
M.S. and Ph.D. degrees in physics from the University
of Illinois at Urbana-Champaign in 1975 and 1980,
respectively. He was a member of the Engineering
Research Division at the Lawrence Livermore
National Laboratory from 1981 to 1990 and served
as the leader of the Computational Electronics and
Electromagnetics Thrust Area for the Engineering
Directorate from 1984 to 1990. Ziolkowski joined
ECE as an Associate Professor in 1990, was
promoted to Full Professor in 1996, and holds a
joint appointment with the College of Optical
Sciences. He was selected by the faculty to serve
as the Kenneth Von Behren Chaired Professor for
2003-2005 and is currently the Litton Industries
John M. Leonis Distinguished Professor in ECE.
His research interests include the application of
new mathematical and numerical methods to linear
and nonlinear problems dealing with the interaction
of acoustic and electromagnetic waves with complex
media, metamaterials, and realistic structures.

Electrical & Computer Engineering
Department FACULTY PUBLICATIONS
Faculty Publications
1. Scholarly books and monographs published
M. Parashar and S. Hariri, Eds., Autonomic Computing: Concepts,
Infrastructure, and Applications, CRC Press,Taylor & Francis Group,
2007.
F.Vahid and R. Lysecky, VHDL for Digital Design, John Wiley and
Sons, Hoboken, New Jersey, 192 pages, 2007.
F.Vahid and R. Lysecky, Verilog for Digital Design, John Wiley and
Sons, Hoboken, New Jersey, 199 pages, 2007.
F.Vahid and R. Lysecky,“Hardware Description Languages,” in
Digital Design, John Wiley and Sons, Hoboken, New Jersey,
pp. 445-495, 2007.
J. Storer and M. Marcellin, Eds., Proc. 2007 Data Compression C,
Snowbird, Utah, Mar. 2007.
J. Leany, J.W. Rozenblit, and J. Peng (Eds.), Proc. 2007 IEEE Intl. Conf.
and Workshop on the Engineering of Computer Based Systems, IEEE
Press, 2007.
Jonathan Sprinkle, Jeff Gray, Matti Rossi and Juha-Pekka Tolvanen,
Eds 7th OOPSLA Workshop on Domain-Specific Modeling (DSM’07),
Jyväskylä, Finland, OOPSLA, University of Jyväskylä. ISBN: 978-951-
39-2915-2.
Bernard Zeigler,Alexander Muzy, and Levent Yilmaz, Artificial
Intelligence in Modeling and Simulation, Encyclopedia of Complexity
and System Science, Editor-in-Chief, Robert A. Meyers, Springer,
Springer-Verlag, Heidelberg, Germany.
B.P. Zeigler and Phillip Hammond, Modeling & Simulation-Based Data
Engineering: Introducing Pragmatics into Ontologies for Net-Centric
Information Exchange,Academic Press,Aug. 2007, 448 pages.
2. Chapters published in scholarly books &
monographs
B. Khargharia and S. Hariri,“Autonomic Power and Performance
Management of Internet Data Centers,” in Autonomic Computing:
Concepts, Infrastructure, and Applications, Ed.: M. Parashar and S.
Hariri, CRC Press, 2007, pp. 435-469.
S. Hariri,“Anomaly-Based Self-Protection Against Network
Attacks,” in Autonomic Computing: Concepts, Infrastructure, and
Applications, Ed.: M. Parashar and S. Hariri, CRC Press, 2007, pp.
493-521.
Jeff Gray, Juha-Pekka Tolvanen, Steven Kelly,Aniruddha Gokhale,
Sandeep Neema and Jonathan Sprinkle.“Domain-Specific
Modeling” Chapter 7 in Handbook of Dynamic System Modeling. Paul
A. Fishwick, Ed. CRC Press. ISBN: 1584885653, 2007.
3. Papers published in refereed journals
G.T. Bonnema, K.O. Cardinal, J.B. McNally, S.K.Williams, J.K. Barton,
“Assessment of Blood Vessel Mimics with Optical Coherence
Tomography,” J. of Biomedical Optics, 12:024018, 2007.
Y. Luo, J. Castillo, L.Arauz, J.K. Barton, R.K. Kostuk,“Coupling and
Crosstalk Effects in High Density Fiber Imaging,” Appl. Opt. 26:253-
261, 2007.
T.Troutman, J.K. Barton, M. Romanowski,“Optical Coherence
Tomography with Plasmon Resonant Nanorods
of Gold,” Optics Letters, 32:1438-1440, 2007.
The following publications are listed
alphabetically by first faculty member.
Faculty are identified by underline.
L.P. Hariri, L. Qiu,A.R.Tumlinson, D.G. Besselsen, E.G. Gerner, N.
Ignatenko, B. Povazay, B. Hermann, H. Sattmann, J. McNally,
Unterhuber,W. Drexler, J.K. Barton,“Serial Endoscopy in
Azoxymethane Treated Mice Using Ultrahigh Resolution Optical
Coherence Tomography,” Cancer Biology and Therapy, 6:1-10, 2007.
V. Korde, G. Bonnema,W. Xu, C. Krishnamurthy, J. Ranger-Moore,
K. Saboda, L. Slayton, S. Salasche, J.Warneke, D.Alberts, and J.
Barton,“Using Optical Coherence Tomography to Evaluate Skin
Sun Damage and Precancer,” Lasers in Surgery and Medicine,
39:687-695, 2007.
A.R.Tumlinson, B. Hofer,A.Winkler, B. Povazay,W. Drexler, J.K.
Barton,“Inherent Homogenous Media Dispersion Compensation
in Frequency Domain Optical Coherence Tomography by Accurate
‘K-Sampling’,” Appl. Opt., epub ahead of print 85236.
Yuan Luo, J.E. Castillo, L.J.Arauz, J.K. Barton, and R.K. Kostuk,
“Coupling and Crosstalk Effects in 12-5mm Diameter Single Mode
Fiber Arrays for Simultaneous Transmission and Photon Collection
from Scattering Media,” Appl. Opt., Vol. 46, pp. 253-261, Jan. 2007.
Z. Li,A.F. Gmitro, A. Bilgin, M.I.Altbach,“Fast Decomposition
of Water and Lipid Using a GRASE Technique with the IDEAL
Algorithm,” Magnetic Resonance in Medicine,Vol. 57, No. 6,
pp.1047-1057, Jun. 2007.
M.W. Kudenov, N.A. Hagen, E. L. Dereniak, G. R. Gerhart,“Fourier
Transform Channeled Spectropolarimetry in the MWIR,” Optics
Express,Vol. 15, No. 20, Sept. 2007.
N. Hagen, M. Kupinski, E. Dereniak,“Gaussian Profile Estimation in
One Dimension,” Appl. Opt., Vol. 46, No. 22,Aug. 2007.
N. Hagen, K. Oka, E. Dereniak,“Snapshot Mueller Matrix
Spectropolarimeter,” Optics Letters,Vol. 32, No. 15, Aug. 2007.
J. Hartke, E. L. Dereniak,“Snapshot Dual-Band Visible
Hyperspectral Imaging Spectrometer,” Optical Engineering,
Vol. 46, No. 1, Jan. 2007.
I.B. Djordjevic, M. Cvijetic, L. Xu, and T.Wang,“Using LDPC-Coded
Modulation and Coherent Detection for Ultra High-Speed Optical
Transmission,” IEEE/OSA J. Lightwave Technol.,Vol. 25, pp. 3619-3625,
Nov. 2007.
M. Ivkovic, I.B. Djordjevic, and B.Vasic,“Pulse Energy Probability
Density Functions for Long-Haul Optical Fiber Transmission
Systems by Using Instantons and Edgeworth Expansion,” IEEE
Photonics Technology Letters,Vol. 19, No. 20, pp. 1604-1606,
Oct. 20, 2007.
I.B. Djordjevic,B.Vasic, and M.A. Neifeld,“LDPC-Coded OFDM
for Optical Communication Systems with Direct Detection,” IEEE
J. of Selected Topics in Quantum Electronics,Vol. 13, No. 5, Part 2,
pp. 1446–1454, Sept.-Oct. 2007.
I. Djordjevic, M. Cvijetic, L. Xu, and T.Wang,“Proposal for Beyond
100 Gb/s Optical Transmission Based on Bit-Interleaved LDPCcoded
modulation,” IEEE Photon.Technol. Lett.,Vol. 19, No. 12, pp.
874-876, Jun. 15, 2007.
I.B. Djordjevic,B.Vasic, and M.A. Neifeld,“LDPC Coded OFDM
Over the Atmospheric Turbulence Channel,” Optics Express,Vol. 15,
No. 10, pp. 6332-6346, May 2007.
M. Ivkovic, I.B. Djordjevic, and B.Vasic,“Calculation of Achievable
Information Rates of Long-Haul Optical Transmission Systems
Using Instanton Approach,” IEEE/OSA J. Lightwave Technol.,Vol. 25,
pp. 1163-1168, May 2007.
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I.B. Djordjevic, N.Alic, G. Papen, S. Radic,“Determination of
Achievable Information Rates (AIRs) of IM/DD Systems and AIR
Loss Due to Chromatic Dispersion and Quantization,” IEEE
Photonics Technology Letters,Vol. 19, No. 1, pp. 12-14, Jan.1, 2007.
X.Wang, Z. Zhu,Y. Cao, S.L. Dvorak, and J.L. Prince,“Dramatic
Improvements in the Matrix Solution Time for Method of Moment
Problems Involving Stripline Interconnects,” IEEE Trans. on Advanced
Packaging,Vol. 30, No. 3, pp. 570-579, 2007.
Y. Cao, S.L. Dvorak, X.Ye, and B. Herman,“A New Cylindrical
Phase Screen Method for Modeling Electromagnetic Wave
Propagation Through an Inhomogeneous 2-D Atmosphere,” Radio
Sci.,Vol. 42, RS4027, doi:10.1029/2006RS003550, pp. 1-10, 2007.
Z. Zhu, Q. Li, X.Wang, S.L. Dvorak and J.L. Prince,“Extension of an
Efficient Moment-Methods-Based Full-Wave Layered-Interconnect
Simulator to Finite-Width Expansion Functions,” IEEE Trans. on
Advanced Packaging,Vol. 30, No. 4, pp. 841-850, 2007.
B. Zhong, S.L. Dvorak, and J.L. Prince,“Transient Simulation of
Lossy Interconnects Based on a Dispersive Hybrid Phase-Pole
Macromodel,” IEEE Trans. on Advanced Packaging,Vol. 30, No. 2,
pp. 321-334, 2007.
M.E. Gehm, R. John, D.J. Brady, R.M.Willett, and T.J. Schulz,
“Single-Shot Compressive Spectral Imaging with a Dual-Disperser
Architecture,” Opt. Express, 15, pp. 14013-14027, 2007.
S.D. Feller, H. Chen, D.J. Brady, M.E. Gehm, C. Hsieh, O. Momtahan,
and A.Adibi,“Multiple-Order, Coded-Aperture Spectrometer,”
Opt. Express, 15, pp. 5625-5630, 2007.
W.A.Wagadarikar, M.E. Gehm, and D.J. Brady,“Performance
Comparison of Aperture Codes for Multimodal, Multiplex
Spectroscopy,” Appl. Opt., 46, pp. 4932-4942, 2007.
C. Fernandez, B.D. Guenther, M.E. Gehm, D.J. Brady, and M.E.
Sullivan,“Longwave Infrared (LWIR) Coded Aperture Dispersive
Spectrometer,” Opt. Express, 15, pp. 5742-5753, 2007.
E.C. Cull, M.E. Gehm, D.J. Brady, C.R. Hsieh, O. Momtahan, and
A.Adibi,“Dispersion Multiplexing with Broadband ltering for
Inexpensive, High Performance Miniature Spectrometers,”
Appl. Opt., 46, 365-374, 2007.
N.A. Goodman, P.R.Venkata, and M.A. Neifeld,“Adaptive Waveform
Design and Sequential Hypothesis Testing for Target Recognition
with Active Sensors,” IEEE J. Selected Topics in Signal Processing,Vol. 1,
No. 1, pp. 105-113, Jun. 2007.
N.A. Goodman,“MIMO Channel Rank Via the Aperture-Bandwidth
Product,” IEEE Trans.Wireless Communications,Vol. 6, No. 6, pp. 2246-
2254, Jun. 2007.
N.A. Goodman and D. Bruyere,“Optimum and Decentralized
Detection for Multistatic Airborne Radar,” IEEE Trans.Aerospace
and Electronic Systems,Vol. 43, No. 2,
pp. 806-813,Apr. 2007.
N.A. Goodman and J.M. Stiles,“On Clutter Rank Observed by
Arbitrary Arrays,” IEEE Trans. Signal Processing,Vol. 55, No. 1,
pp. 178-186, Jan. 2007.
J.M. Russo and R.K. Kostuk,“Temperature Dependence Properties
of Holographic Gratings in Phenanthrenquinone Doped
Poly(Methyl Methacrylate) Photopolymers,” Appl. Opt., Vol. 46,
pp. 7494-7499, Oct. 2007.
J. Castillo, J. Castro, R. Kostuk and D. Geraghty,“Study of Multi-
Channel Parallel Anti-Symmetric Waveguide Bragg Gratings for
Telecom Applications,” IEEE Photonic Technology Letters, Vol. 19,
Issue 2, p 85-87, Jan. 2007.
A. Balamash, M. Krunz, and P. Nain,“Performance Analysis of a
Client-Side Caching/Prefetching System for Web Traffic,” Computer
Networks J., Vol. 51, Issue 13, pp. 3673-3692, Sept. 2007.
H. Salameh,T. Shu, and M. Krunz,“Adaptive Cross-Layer MAC
Design for Improved Energy Efficiency in Multi-Channel Wireless
Sensor Networks,” Ad Hoc Networks J., Vol. 5, Issue 6, pp. 844-854,
Aug. 2007.
M. Hassan and M. Krunz,“Video Streaming Over Wireless Packet
Networks: an Occupancy-Based Rate Adaptation Perspective,”
IEEE Trans. on Circuits and Systems for Video Technology,Vol. 17, Issue 8,
pp. 1017-1027,Aug. 2007.
A.Arora and M. Krunz,“Power-Controlled Medium Access for Ad
Hoc Networks with Directional Antennas,” Ad Hoc Networks J., Vol.
5, Issue 2, pp. 145-161, Mar. 2007.
L.Atzori, M. Krunz, and M. Hassan,“Cycle-Based Rate Control for
One-Way and Interactive Video Communications Over Wireless
Channels,” IEEE Trans. on Multimedia,Vol. 9, No. 1, pp. 176-184,
Jan. 2007.
L. Lazos, R. Poovendran, and J.A. Ritcey,“Detection of Mobile
Targets on the Plane and in Space Using Heterogeneous Sensor
Networks,” ACM/Springer J. on Wireless Networks, available online,
pages: 24, 2007.
Avinash Kodi and Ahmed Louri,“A System Simulation
Methodology of Optical Interconnects for High-Performance
Computing (HPC) Systems,” J. of Optical Networking (JON),Vol. 6,
No. 12, pp. 1282-1300, Dec. 2007.
R. Lysecky,“Low-Power Warp Processor for Power Efficient High-
Performance Embedded Systems,” IEEE/ACM Design Automation and
Test in Europe C (DATE), pp. 141-146, 2007.
K. Sanborn, D. Ma, and V. Ivanov,“A Sub-1V Low Noise Bandgap
Voltage Reference,” IEEE J. of Solid-State Circuits (JSSC),Vol. 42, No.
11, pp. 2466-2481, Nov. 2007.
D. Ma and W-H Ki,“Fast-Transient PCCM Switching Converter
with Freewheel Switching Control,” IEEE Trans. on Circuits and
Systems (TCAS) – Part II,Vol. 54, No. 9, pp. 825-829, Sept. 2007.
D. Ma,“Automatic Substrate Switching Circuit for On-Chip
Adaptive Power Supply System,” IEEE Trans. on Circuits & Systems
(TCAS)-Part II,Vol. 54, No. 7, pp. 641-645, Jul. 2007.
Z.Wu, A. Bilgin, and M.W. Marcellin,“Error Resilient Decoding of
JPEG2000,” IEEE Trans. on Circuits and Systems for Video Technology,
Vol. 17, No. 12, pp. 1752-1757, Dec. 2007.
L. Pu, A. Bilgin, M.W. Marcellin, and B.V.Vasic,“Joint Source-Channel
Rate Allocation in Parallel Channels,” IEEE Trans. on Image
Processing,Vol. 16, No. 8, IIPRE4, pp. 2016-2022,Aug 2007.
L. Pu, M.W. Marcellin,B.Vasic, and A. Bilgin,“Unequal Error
Protection and Progressive Decoding in JPEG2000,” Signal
Processing: Image Communication, Special Issue on Mobile Video,Vol. 22,
No. 3, pp. 340-346, Mar. 2007.
M.W. Marcellin and A. Bilgin,“Layered Rate Allocation for Digital
Cinema,” SMPTE Motion Imaging J., pp. 80-86, Feb/Mar. 2007.
J.C. Dagher, M.W. Marcellin, and M.A. Neifeld,“A Theory for
Maximizing the Lifetime of Sensor Networks,” IEEE Trans. on
Communications,Vol. 55, No. 2, pp. 323-332, Feb. 2007.
L. Pu, A. Bilgin, M.W. Marcellin, and B.V.Vasic,“LDPC-Based
Iterative Joint Source/Channel Decoding Scheme for JPEG2000,”
IEEE Trans. on Image Processing,Vol. 16, No. 2, pp. 577-580, Feb. 2007.
M.W. Marcellin and A. Bilgin,“Layered Rate Allocation for Digital
Cinema,” SMPTE Motion Imaging J., pp. 80-86, Feb/Mar. 2007.

Zhen Zhou and Kathleen L. Melde,“Frequency Agility of
Broadband Antennas Integrated with a Reconfigurable RF
Impedance Tuner,” IEEE Antennas and Wireless Propagation Letters,
Vol. 6, pp. 56-59, 2007.
M.A. Neifeld,A.Ashok, and P. Baheti,“Task Specific Information for
Imaging System Analysis,” J. of the Optical Society of America A,Vol. 24,
No.12, pp. B25-B41, Dec. 2007.
W.R. Babbitt, M.A. Neifeld, and K.D. Merkel,“Broadband Analog
to Digital Conversion with Spatial-Spectral Holography,” J. of
Luminosity,Vol. 127, pp.152-157, 2007.
E.Trebmlay, J. Rutkowski, I.Tamayo, P. Silveira, R. Stack, R. Morrison,
M.A. Neifeld,Y. Fainman, and J.E. Ford,“Relaxing the Alignment and
Fabrication Tolerances of Thin Annular Folded Imaging Systems
Using Wavefront Coding,” Appl. Opt., Vol. 46, No. 27, pp. 6751-6758,
Sept. 2007.
J.A.Anguita, M.A. Neifeld, and B.V.Vasic,“Spatial Correlation and
Irradiance Statistics in a Multiple Beam Terrestrial Free-Space
Optical Communication Link,” Appl. Opt., Vol. 46, No. 26,
pp. 6561-6571, Sept. 2007.
R. Pant, M. D. Stenner, M.A. Neifeld, Z. Shi, R.W. Boyd, and
D. Gauthier,“Maximizing the Opening of Eye Diagrams for Slow-
Light Systems,” Appl. Opt., Vol. 46, No. 26, pp. 6513-6519, Sept. 2007.
M.A. Neifeld and Jun Ke,“Optical Architectures for Compressive
Imaging,” Appl. Opt., Vol. 46, No. 22, pp. 5293-5303,Aug. 2007.
Z. Shi, R. Pant,A. Zhu, M.D. Stenner, M.A. Neifeld, D.J. Gauthier, and
R.W. Boyd,“Design of a Tunable Time-Delay Element Using
Multiple Gain Lines for Increased Fractional Delay with High
Fidelity,” Optics Letters,Vol. 32, No. 14, pp. 1986-1988, Jul. 2007.
Amit Ashok and M.A. Neifeld,“Pseudo-Random Phase Masks for
Super-Resolution Imaging from Sub-Pixel Shifting,” Appl. Opt., Vol.
46, No. 2, pp. 2256-2268,Apr. 2007.
P. Shankar and M.A. Neifeld,“Multi-Frame Super-Resolution of
Binary Images,” Appl. Opt., Vol. 46, No. 8, pp. 1211-1222, Mar. 2007.
R. Pant, M. D. Stenner, and M.A. Neifeld,“Designing Optimal Gain
Profiles for Slow Light Applications,” Proc. SPIE Photonics West C,
Vol. 6482, No. 28, (2 pages), San Jose, CA, Jan. 2007.
J. Lee, K. Bartley, and O.A. Palusinski,“Electrical Characterization of
Nanostructured Energy Storage Device,” Electrochemical
Transactions,Vol. 2(8), pp. 121-127, 2007.
E.O. Mikkola, B.Vermeire, H.G. Parks, R. Graves,“VHDL-AMS
Modeling of Total Ionizing Dose Radiation Effects on CMOS Mixed
Signal Circuits,” IEEE Trans. on Nuclear Science,Vol. 54, Issue 4, Part 2,
pp. 929-934,Aug. 2007.
S. Ramasubramanian, M. Harkara, and M. Krunz,“Linear Time
Distributed Construction of Colored Trees for Disjoint Multipath
Routing,” Computer Networks J., Vol. 51, Issue 10, pp. 2854-2866,
Jul. 2007.
S. Ramasubramanian, H. Krishnamoorthy, and M. Krunz,“Disjoint
Multipath Routing Using Colored Trees,” Computer Networks J., Vol.
51, Issue 8, pp. 2163-2180, Jun. 2007.
Cynthia M. Smith, J. Cole Smith, Stuart K.Williams, Jeffrey J.
Rodriguez, James B. Hoying,“Accurate Thresholding of Three-
Dimensional Microvascular Structures from Confocal Microscopy
Images,” J. of Microscopy,Vol. 225 (Part 3), pp. 244-57, Mar. 2007.
Diljith M.Thodi and Jeffrey J. Rodriguez,“Expansion-Embedding
Techniques for Reversible Watermarking,” IEEE Trans. on Image
Processing,Vol. 16, No. 3, pp. 721-730, Mar. 2007.
J. Olson, J.W. Rozenblit, C.Talarico, and W. Jacak,“Hardware/
Software Partitioning using Bayesian Belief Networks,” IEEE Trans.
on Systems, Man and Cybernetics, 37(5), pp. 665-668, Sept. 2007.
Y. Zhang and W. E. Ryan,“Structured IRA Codes: Performance
Analysis and Construction,” IEEE Trans. Communications,
pp. 837-844, May 2007.
Y. Li and W. E. Ryan,“Mutual-Information-Based Adaptive Bit-
Loading Algorithms for LDPC-Coded OFDM,” IEEE Trans.Wireless
Comm., pp. 1670-1680, May 2007.
J. Zhao, M.N. Szilagyi and F. Szidarovszky,“A Continuous Model of
the N-Person Prisoners’ Dilemma,” Game and Theory Applications,
Vol. 12, pp. 192-228, 2007.
U. Merlone, F. Szidarovszky, and M.N. Szilagyi,“Finite Neighborhood
Games with Binary Choices,” Mathematica Pannonica,Vol. 18, No. 2,
pp. 205-217, 2007.
J. Zhao, F. Szidarovszky, and M.N. Szilagyi,“Finite Neighborhood
Binary Games: a Structural Study,” J. of Artificial Societties and Social
Simulation,Vol. 10/3/3, pp.13, 2007.
L.P. Hariri,A.R.Tumlinson, N.H.Wade, D.G. Besselsen,
U. Utzinger, E.W. Gerner, J.K. Barton,“Ex Vivo Optical Coherence
Tomography and Laser-induced Fluorescence Spectroscopy
Imaging of Murine Gastrointestinal Tract,” Comparative Medicine,
57 0204, 2007.
N. Kirkpatrick, J. Hoying, U. Utzinger, “Live Imaging Of Collagen
Remodeling During Angiogenesis,” Am. J. Physiol. Heart Circ. Physiol.,
292: H3198-H3206, Jun. 2007.
J.M.Wang, B. Sukhwani, U. Padmanabhan, D. Ma and K. Singha,
“Simulation and Design of Nanucircuits with Resonant Tunneling
Devices,” IEEE Trans. on Circuits and Systems-I, Vol. 54, No. 6,
pp. 1239-1304, Jun. 2007.
X.Wang, H. Xin, J. Leonard, G. Chen, and Q. Jiang,“Ultra-Fast
Oscillation of Cobalt Clusters Encapsulated Inside Carbon
Nanotubes,” Nano Technology,Vol. 18, pp.1-7, Oct. 2007.
X.Wang, H. Xin, J. Leonard, G. Chen,A. Chwang, and Q. Jiang,
“The Oscillatory Characteristics of a 2C60/CNT Oscillator
System,” J. of Nanoscience and NanoTechnology,Vol. 7, No. 3,
pp. 1512-1517, Mar. 2007.
J. Nutaro, B.P. Zeigler,“On the Stability and Performance of
Discrete Event Methods for Simulating Continuous Systems,”
J. Comp. Physics,Vol. 227, Issue 1, Nov. 10, 2007.
Erentok, R.W. Ziolkowski, J.A. Nielsen, R. B. Greegor, C. G.
Parazzoli, M. H.Tanielian, S. Cummer, B.-I. Popa,T. Hand, D. C.Vier
and S. Schultz,“Low Frequency Lumped Elementbased Negative
Index Metamaterial,” Appl. Phys. Letr., Vol. 91, 184104, 02
November 2007.
S.Arslanagic, R.W. Ziolkowski, and O. Breinbjerg,“Radiation
Properties of an Electric Hertzian Dipole Located Near-By
Concentric Metamaterial Spheres,” Radio Science, 42, RS6S 16,
doi: I 0.1 029/2007RS003663, November 2007.
S.Arslanagic, R.W. Ziolkowski, and O. Breinbjerg,“Analytical and
Numerical Investigation of the Radiation and Scattering from
Concentric Metamaterial Cylinders Excited by an Electric Line
Source,” Radio Science, 42, RS6S15, doi: 1O.1029/2007RS003644,
November 2007.
J.A. Gordon and R.W. Ziolkowski,“Investigating Functionalized
Active Coated Nano-Particles for use in Nano-Sensing
Applications,” Opt. Exp.,Vol. 15, Issue 20, pp. 12562-12582,
October 2007.
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A.Ali, N. Engheta,A. Erentok, and R.W. Ziolkowski, “Single-
Negative, Double-Negative and Low-Index Metamaterials and
Their Electromagnetic Application,” IEEE Antennas and Propagation
Magazine, Vol. 49, No. 1, pp. 23-36, February 2007.
J.A. Gordon and R.W. Ziolkowski,“The Design and Simulated
Performance of a Coated NanoParticle Laser,” Opt. Exp., Vol. 15,
Issue 5, pp. 2622-2653, March 2007.
A. Erentok and R.W. Ziolkowski,“Two-Dimensional Efficient
Metamaterial-Inspired Electrically Small Antenna,” Microw. Opt.
Tech. Lett., Vol. 49, No. 7, pp. 1669-1673, 2007.
A. Erentok and R.W. Ziolkowski,“An Efficient Metamaterial-
Inspired Electrically-Small Antenna,” Microw. Opt.Tech. Lett., Vol. 49,
No. 6, pp. 1287-1290, 2007.
A. Erentok, D. Lee. and R.W. Ziolkowski,“Numerical Analysis of a
Printed Dipole Antenna Integrated with a 3D AMC Block,”
Antennas Wireless Propagat. Lett., Vol. 6, pp. 134-136, 2007.
4. Papers published in Conference Proceedings
S.Venishetti and A.Akoglu,“A Highly Parallel FPGA Based
IEEE-754 Compliant Double-Precision Binary Floating-Point
Multiplication Algorithm,” IEEE Intl. Conf. Field-Programmable
Technology 2007 (ICFPT’07), Dec. 12- 14, 2007, Kitakyushu, Japan.
A. Pandit and A.Akoglu,“Net Length Based Routability Driven
Packing,” IEEE Intl. Conf. Field-Programmable Technology 2007
(ICFPT’07), Dec. 12-14, 2007, Kitakyushu, Japan.
R.Verma and A.Akoglu,“A Coarse Grained Reconfigurable
Architecture for Variable Size Block Motion Estimation,” IEEE Intl.
Conf. Field-Programmable Technology 2007 (ICFPT’07), Dec. 12 -14,
2007, Kitakyushu, Japan.
D. Montgomery and A.Akoglu,“Cryptographic Instruction Set
Processor Design,” Information Security and Cryptology Conf.,
Ankara,Turkey, Dec. 13-14, 2007.
A.Akoglu, S.Vohnout, and J. Judkins,“FPGA Based Fault Detection,
Isolation and Healing for Integrated Vehicle Health Management,”
Association for the Advancement of Artificial Intelligence (AAAI) Fall
Symp. Artificial Intelligence for Prognostics, Washington, DC,
Nov. 8-11, 2007.
A. Pandit and A.Akoglu,“Wirelength Prediction for FPGAs,” 17th Intl. Conf. Field Programmable Logic and Applications (FPL 2007),
Amsterdam, Netherlands, 27-29 Aug. 2007.
D.T. Montgomery, A.Akoglu,“Methodology and Toolset for ASIP
Design and Development Targeting Cryptography-Based
Applications,” 18th IEEE Intl. Conf.Application-specific Systems,
Architectures and Processors (ASAP 2007) Montreal, Quebec,
Canada, Jul. 8-11, 2007.
S.Venishetti, A.Akoglu, R. Kalra,“Hierarchical Built-in Self-testing
and FPGA Based Healing Methodology for System-on-a-Chip,”
NASA/ESA Conf.Adaptive Hardware and Systems (AHS), Edinburgh,
UK, Feb. 26, 2007.
S.Venishetti, A.Akoglu,“FPGA-based Fault Detection, Isolation and
Healing for Autonomous Operation,” NSF Center for Autonomic
Computing (CAC) Planning Workshop, Sept. 5-7, 2007, Gainesville,
Florida.
A. Bilgin,A. Krishnan, M. I.Altbach “Rapid Imaging using
Undersampled Radial Trajectories and L1 Reconstruction,” Proc.
2007 Meeting of the Intl. Society for Magnetic Resonance in Medicine,
Berlin, Germany, May 2007.
M. I.Altbach, Z. Li, A. Bilgin, K. L.Weiss,“Fast Parametric Imaging of
the Spine with Radial IDEAL-GRASE,” Proc. 2007 Meeting of the
Intl. Society for Magnetic Resonance in Medicine, Berlin, Germany,
May 2007.
Z. Li,A. F. Gmitro, A. Bilgin, and M. I.Altbach,“Fast Decomposition
of Water and Lipid Using a GRASE Technique with the IDEAL
Algorithm,” Proc. 2007 Meeting of the Intl. Society for Magnetic
Resonance in Medicine, Berlin, Germany, May 2007.
N. Hagen, E. Dereniak,“Snapshot Mueller Matrix Spectropolarimetry,”
Proc. SPIE,Vol. 6682, Polarization Science and Remote
Sensing III, J.A. Shaw and J.S.Tyo, Editors, San Diego, CA, 668207,
Sept. 2007.
N. Hagen, E.L. Dereniak, D.T. Sass,“Fourier Methods Of Improving
Reconstruction Speed for CTIS Imaging Spectrometers,” Proc.
SPIE,Vol. 6661, Imaging Spectrometry XII, S.S. Shen, P. E. Lewis,
Editors, San Diego, CA, 666103, Sept. 2007.
C.Vandervlugt, N. Hagen, R. Sampson, E. Dereniak, G. Gerhart,
“Visible imaging spectro-polarimeter,” Proc. SPIE,Vol. 6661,
Imaging Spectrometry XII, S.S. Shen, P.E. Lewis, Editors, San Diego,
CA, 666104, Sept. 2007.
R.W.Aumiller, E.L. Dereniak, R. Sampson, R.W. McMillan,
“Longwave Infrared Snapshot Imaging Spectropolarimeter,” Proc.
SPIE,Vol. 6660, Infrared Systems and Photoelectronic Technology II,
R. E. Longshore,A. K. Sood, E.L. Dereniak, J.P. Hartke, Editors,
San Diego, CA 666009, Sept. 2007.
J. F. Scholl, E. K. Hege, D. O’Connell, E.L. Dereniak,“Model Based
Compression of the Calibration Matrix for Hyperspectral Imaging
Systems,” Proc. SPIE,Vol. 6700, Mathematics of Data/Image Pattern
Recognition, Compression, Coding, and Encryption X, with Applications,
G.X. Ritter, M.S. Schmatz, J. Barrera, J.T.Astola, Editors, San Diego,
CA, 670002, Sept. 2007.
C.Vandervlugt, H. Masterson, N. Hagen, E. Dereniak,
“Reconfigurable Liquid Crystal Dispersing Element for a
Computed Tomography Imaging Spectrometer,” Proc. SPIE,Vol.
6565, Algorithms and Technologies for Multispectral, Hyperspectral,
and Ultraspectral Imagery XIII, S. S. Shen and P. E. Lewis, Editors,
Orlando, FL, 65650O, May 2007.
N. Hagen, E. Dereniak,“New Grating Designs for a CTIS Imaging
Spectrometer,” Proc. SPIE,Vol. 6565, Algorithms and Technologies for
Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, S. S. Shen
and P. E. Lewis, editors, Orlando, FL, 65650N, May 2007.
P.D. LeVan, J.P. Hartke, E.L. Dereniak, B.P. Beecken,“Extending
Hyperspectral Capabilities with Dualband Infrared Focal Plane
Arrays,” Proc. SPIE,Vol. 6479, Quantum Sensing and Nanophotonic
Devices IV, M. Razeghi, G. J. Brown, Editors, Orlando, FL, 64790W,
Feb. 2007.
I.B. Djordjevic,“Suppression of Intrachannel Nonlinearities in
High-Speed WDM Systems,” in Advanced Technologies for High-
Speed Optical Communications, (L. Xu Ed.), pp. 247-277,Trivandrum-
Kerala: Research Signpost, India, 2007.
I. Djordjevic, S. Denic, J.Anguita, B.Vasic, and M.A. Neifeld,“LDPC
Coded MIMO Optical Communication Over the Atmospheric
Turbulence Channel,” Proc. IEEE Globecom C, paper OME-Y78-20J.,
(5 pages) Nov. 2007.
I. Djordjevic,“LDPC-Coded Modulation for Beyond 100-Gb/S
Optical Transmission,” Proc. Optical Transmission Systems and
Equipment for Networking VI-SPIE Optics East C, Vol. 6774,
pp. 677409-1-677409-14, Boston, MA, Sept. 9-12, 2007.
(Invited paper)

I.B. Djordjevic,“Generalized LDPC Codes and Turbo-Product
Codes with Reed-Muller Component Codes,” Proc. 8th Intl. C
onTelecommunications in Modern Satellite, Cable and Broadcasting
Services, 2007 (TELSIKS 2007), pp. 127-134, Sept. 26-28, 2007.
(Invited paper)
I.B. Djordjevic,“Iterative Decodable Block-Codes for High-Speed
Optical Transmission,” IEEE LEOS Summer Topicals 2007:Advanced
Digital Signal Processing in Next Generation Fiber Optic Transmission,
pp. 39-40, Portland, Oregon, Jul.23-25, 2007. (Invited paper)
I.B. Djordjevic,“LDPC-Coded Modulation for High-Speed Optical
Transmission Systems,” IEEE LEOS Summer Topicals 2007: Ultra-high
Data-rate (>=80 Gb/s) Transmissions, pp. 248-249, Portland, Oregon,
Jul.23-25, 2007. (Invited paper)
I.B. Djordjevic, M. Cvijetic, L. Xu,T.Wang, “Ultra High-Speed
Optical Transmission Based on LDPC-Coded Modulation and
Coherent Detection for Employment in All-Optical Network
Scenario,” Proc. 9th Intl. C on Transparent Optical Networks (ICTON
2007), pp. 171-174, Rome, Italy, Jul. 1-5, 2007.
G.T. Djordjevic, I.B. Djordjevic, P. N. Ivanis, B.Vasic,“Irregular LDPC
Codes for Transmission Over Non-Regenerative Non-Linear
Satellite System in the Presence of Co-Chanel Interferences,”
51st C on Electronics,Telecommunications, Computers,Automation and
Nuclear Engineering (ETRAN 2007), Herceg Novi–Igalo, Montenegro,
Jun. 4–8, 2007.
M. Ivkovic, P. Rajkovic, I.B. Djordjevic, and B.Vasic,“Modelling
Errors in Long-Haul Optical Fiber Transmission Systems by Using
Instantons and Edgeworth Expansion,” IEEE Intl. C on
Communications, ICC 2007, Glasgow, UK, ONS6P paper #5,
Jun. 24-27, 2007.
I.B. Djordjevic,“Coding Techniques Enabling Beyond 100-Gb/S
Optical Transmission,” Optical Communications Panel, 2007 IEEE
Communication Theory Workshop (IEEE CTW 2007), Sedona,AZ,
May 20-23, 2007.
I. Djordjevic,B.Vasic, and M.A. Neifeld,“Power Efficient LDPS-
Coded Modulation for Free Space Optical Communications
Over the Atmospheric Turbulence Channel,” Proc. 2007 IEEE
OFC/NFOEC C, paper JThA46, (5 pages) Anaheim, CA,
Mar. 25-29, 2007.
J.H. Bae and N.A. Goodman,“Adaptive Waveforms for Target Class
Discrimination,” 2007 Intl.Waveform Diversity and Design C,
pp. 395-399, Pisa, Italy, Jun. 4-8, 2008.
N.A. Goodman,“Closed-loop radar with adaptively matched
waveforms,” 2007 Intl. C on Electromagnetics in Advanced Applications,
pp. 468-471,Torino, Italy, Sept. 17-21, 2007. (Invited paper)
Huoping Chen and S. Hariri,“An Evaluation Scheme of Adaptive
Configuration Techniques,” 22nd IEEE/ACM Intl. C on Automated
Software Engineering,Atlanta, Georgia, Nov. 2007.
Huoping Chen,Youssif B.Al-Nashif, Guangzhi Qu, and Salim Hariri,
“Self-Configuration of Network Security,” 11th IEEE Intl. EDOC C
(2007):The Enterprise Computing C,Annapolis, Maryland, Oct. 2007.
Byoung Kim and S. Hariri, “Anomaly-Based Fault Detection in
Distributed Systems,” 5th Intl. C on Software Engineering Research,
Management and Applications (SERA 2007), Busan, Korea,Aug. 2007.
Samer Fayssal, S. Hariri, and Youssif Alnashif,“Anomaly-Based
Behavior Analysis of Wireless Network Security,” 4th Annual Intl. C
on Mobile and Ubiguitous Systems: Computing, Networking and Services,
Philadelphia, PA, Aug. 2007
Y. Zhang, S. Hariri, J. Xiang and J.Yeh,“Physics Aware Runtime
Optimization: a Case Study in a Transient Application,” Intl. C
on Distributed Computing Systems (ICDCS),Toronto, Canada
Jun. 25-29, 2007.
Traian Avram, Seungchan Oh and S. Hariri,“Analyzing Attacks in
Wireless Ad Hoc Network with Self-Organizing Maps,” 5th Annual
C on Communication Networks and Services Research C (CNSR 2007),
New Brunswick, Canada, May 2007.
C. M. Higgins and V. Pant, “A Biomimetic Focal Plane Speed
Computation Architecture”, Proc. Computational Optical Sensing and
Imaging (COSI) Conf.,Vancouver, BC, Canada, Jun. 18-20, 2007.
N. Ghanbari, R.K. Kostuk, M.A. Neifeld, and M.D. Stenner,
“Folded Holographic Imager,” Proc. SPIE Optics and Photonics C,
Paper 6675-25 (9 pages), San Diego, CA, Aug. 2007.
S. H. Lim, R. K. Kostuk, and M.A. Neifeld,“Field of View Extender
for a Novel Camera System,” Proc. SPIE Photonics West C,Vol. 6488,
No. 38, San Jose, CA, Jan. 2007.
Ossama Younis, Marwan Krunz, and Srinivasan Ramasubramanian,
“Coverage Without Location Information,” IEEE Intl. C on Network
Protocols (ICNP 2007), Beijing, China, Oct. 16-19, 2007.
Mohammad Siam and Marwan Krunz,“A Combined Power-
Controlled Protocol with Adaptive MIMO Gains for Wireless
Networks,” IEEE BROADNETS 2007 C (Wireless Communications,
Networks and Systems Symp.), Raleigh, NC, Sept. 10-14, 2007.
Fan Wang, Marwan Krunz, and Shuguang Cui,“Price-Based
Spectrum Management in Cognitive Radio Networks,” Proc.
2nd Intl. C on Cognitive Radio Oriented Wireless Networks and
Communications (CrownCom 2007), Orlando, FL, Aug. 1-3, 2007.
(Received best student-paper award)
Ossama Younis, Marwan Krunz, and Srinivasan Ramasubramanian,
“A Framework for Resilient Online Coverage in Sensor
Networks,” Proc. IEEE SECON 2007 C, San Diego, Jun. 18-21, 2007.
Mohammad Siam and Marwan Krunz,“Throughput-Oriented
Power Control in MIMO-Based Ad Hoc Networks,” Proc. IEEE ICC
2007 C-Wireless Ad Hoc and Sensor Networks Symp., Glasgow,
Scotland, Jun. 2007.
Alaa Muqattash and Marwan Krunz,“Performance of Wireless
CDMA Networks Under Optimal Link-Layer Adaptation,” Proc.
IEEE INFOCOM 2007 C,Anchorage,Alaska, May 6-12, 2007.
Avinash Kodi,Ashwini Sarathy and Ahmed Louri,“Design
of Adaptive Communication Channel Buffers for Low-Power Area-
Efficient Network-on-Chip Architecture,” IEEE/ACM Symp.
Architectures for Networking and Communications Systems (ANCS’07),
Orlando, Florida, Dec. 3-4, 2007.
Avinash Kodi and Ahmed Louri,“Performance Adaptive Power-
Aware Reconfigurable Optical Interconnects for High Performance
Computing (HPC) Systems,” Intl. C for High-Performance Computing,
Networking, Storage and Analysis (SC’07), Reno, Nevada,
Nov. 10-16, 2007.
F. Luo and D. Ma,“An Integrated Switching Power Converter with
a Hybrid Pulse-Train/PWM Control,” IEEE Intl. Symp. Circuits and
Systems (ISCAS), pp. 305-308, New Orleans, LA, May 2007.
H. G. Lalgudi, M.W. Marcellin,A.Bilgin, and M. S. Nadar,“Scalable
Low Complexity Coder for High Resolution Airborne Video,”
Proc. 2007 Intl.Telemetering C, Las Vegas, NV, Oct. 2007.
R. Raguram, M.W. Marcellin, and A. Bilgin,“Improved Resolution
Scalability for Bi-Level Image Data in JPEG2000,” Proc. 2007 Data
Compression C, Snowbird, UT, Mar. 2007.
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37
L. Pu, M.W. Marcellin, I.B. Djordjevic, B.V.Vasic, and A. Bilgin,“Joint
source-Channel Rate Allocation in Parallel Channels,” Proc. 2007
SPIE Visual Communications and Image Processing, San Jose, CA,
Feb. 2007.
J.C. Dagher, M.W. Marcellin, and M.A. Neifeld,“An Iterative
Algorithm for Optimizing the Conditional Lifetimes of Distributed
Sensors,” Proc. IEEE Information Theory and Applications Workshop, 7
pages, University of California, San Diego, Jan. 2007. (Invited paper)
A. Mitev, M. Marefat, D. Ma, and J.M.Wang,“Principle Hessian
Direction Based Parameter Reduction with Process Variation,”
IEEE/ACM Intl. Conf. Computer-Aided Design (ICCAD), pp. 632–637,
Nov. 2007. (Nominated as best paper candidate)
Fan Yang, and Michael M. Marefat,“Automated Feasibility
Verification of Object onfigurations:A New Approach Based on
Feature Interaction Matrices,” Proc. IEEE Intl. Conf.Automation
Science and Engineering, Scottsdale,AZ, pp. 686-691, Sept. 2007.
Chandan Pitta, and Michael M. Marefat,“Similarity-Based Retrieval
of CAD Solid Models for Automated Reuse of Machining Process
Plans,” Proc. IEEE International Conference on Automation Science and
Engineering, Scottsdale,AZ, pp. 312-317, Sept. 2007.
T. Elhourani, and Michael M. Marefat,“A Distributed Constraint
Optimization Solution to the Peer-to-Peer Video Streaming
Problem”, Proc. National Conf.Artificial Intelligence, Vancouver,
Canada,AAA1-07, pp. 1347-1352, Jul. 2007.
T. Elhourani, Nathan Denny, and Michael M. Marefat, “P2P Video
Streaming:A Multiagent Systems Approach,” Proc. Intl. Conf. Internet
Computing (IComp 2007), Las Vegas, NV, pp. 395-399, Jun. 2007.
A. Mitev, M. Marefat,D. Ma, and J.M.Wang,“Parameter Reduction
for Variability Analysis by Slice Inverse Regression (SIR) Method,”
IEEE Asia and South Pacific Design Automation Conf. (ASPDAC),pp.
468–473, Jan. 2007.
Qian Li and Kathleen L. Melde,“Broadband On-Wafer Calibrations
Comparison for Accuracy and Repeatability on Co-Planar
Waveguide Structures,” 16th Topical Meeting on Electrical
Performance of Electronic Packaging, pp. 315-315, Oct. 2007.
Z. Zhou and K. Melde,“Physically Consistent Broadband Material
Model Generation for Microstrip Transmission Lines,” 16th Topical
Meeting on Electrical Performance of Electronic Packaging, pp. 175-178,
Oct. 2007.
A.Ashok, P. Baheti, and M.A. Neifeld,“Projective Imager Design
with Task Specific Information,” Proc. Frontiers in Optics the OSA
Annual Meeting, paper FThQ4 (2 pages), San Jose, CA, Sept. 2007.
J.A.Anguita and M.A. Neifeld,“Channel Interference and
Information Rate in an Orbital Angular Momentum Multiplexed
Free Space Optical Link,” Proc. Frontiers in Optics the OSA Annual
Meeting, paper FWS6 (2 pages), San Jose, CA, Sept. 2007.
Jun Ke and M.A. Neifeld,“Reconstruction Using Adaptive Feature-
Specific Imaging,” Proc. Frontiers in Optics the OSA Annual Meeting,
paper FThQ3 (2 pages), San Jose, CA, Sept. 2007.
M. Lee, R. Pant, M. D. Stenner, and M.A. Neifeld,“Using
a Fabry Perot to Reduce Distortion in a Gain-Based Delay
System,” Proc. Frontiers in Optics the OSA Annual Meeting, paper
FWH5 (2 pages), San Jose, CA, Sept. 2007.
M. Stenner, P. Shankar, and M.A. Neifeld,“Wide-Field Feature-
Specific Imaging,” Proc. Frontiers in Optics the OSA Annual Meeting,
paper FMJ2 (2 pages), San Jose, CA, Sept. 2007.
P. Baheti and M.A. Neifeld,“Compressive Imaging Using Random
Active Illumination,” Proc. Frontiers in Optics the OSA Annual Meeting,
paper FThQ2 (2 pages), San Jose, CA, Sept. 2007.
R. Pant, M. D. Stenner, and M.A. Neifeld,“Distortion, Noise, and
Delay Study for Wavelength Conversion and Dispersion Based
Slow-Light Systems,” Proc. Frontiers in Optics the OSA Annual
Meeting, paper LWE4 (2 pages), San Jose, CA, Sept. 2007.
B. Fankem, K. Melde, and Z. Zhou,“Frequency Reconfigurable
Planar Inverted F Antenna (PIFA) with Software-Defined Match
Control (SDMC),” presented at 2007 Intl. Symp. Antennas and
Propagation, pp. 81-84, Jun. 2007.
A Ashok, P. Baheti, and M.A. Neifeld,“Task-specific information,”
Proc. 2007 OSA C on Computational Optical Sensing and Imaging,
CTuA1 (3 pages),Vancouver, BC Canada, Jun. 2007. (Invited paper)
Jun Ke, P. Shankar, and M.A. Neifeld,“Distributed Feature-Specific
Imaging,” Proc. 2007 OSA C on Computational Optical Sensing and
Imaging, paper CTuA4 (3 pages),Vancouver, BC Canada, Jun. 2007.
P. Baheti, J. Ke, and M.A. Neifeld,“Adaptive Feature-Specific
Imaging,” Proc. 2007 OSA C on Computational Optical Sensing and
Imaging, paper CTuA5 (3 pages),Vancouver, BC Canada, Jun. 2007.
P. Shankar and M.A. Neifeld,“Multiframe Image Restoration with
Wavelet Domain Regularization,” Proc. 2007 OSA C on
Computational Optical Sensing and Imaging, paper CTuC5 (3 pages),
Vancouver, BC Canada, Jun. 2007.
R. Pant, M. D. Stenner, and M.A. Neifeld,“Optimal Gain Profile
Designs for Broadband SBS Slow Light Systems,” IEEE/OSA C on
Lasers and Electro Optics CLEO/QELS, Baltimore, May 2007.
A.Ashok, P. K. Baheti, and M.A. Neifeld,“Task-Specific Information:
an Imaging System Analysis Tool,” SPIE Visual Information Processing
C, Orlando, FL,Apr. 2007.
J. Ke, P. K. Baheti, and M.A. Neifeld,“Application of Adaptive
Feature-Specific Imaging,” SPIE Visual Information Processing C,
Orlando, FL,Apr. 2007.
P. M. Shankar and M.A. Neifeld,“Wavelet Priors for Multi-Frame
Image Restoration,” SPIE Visual Information Processing C, Orlando, FL,
Apr. 2007.
Zia-ur Rahman, S. E. Reichenbach, and M.A. Neifeld, Editors,“Visual
Information Processing XVI” Proc. SPIE Vol. 6246, SPIE Press,
Bellingham,WA,Apr. 2007.
O.A. Palusinski and D. F. Gervasio,“High Energy Density Storage
Component for Hybrid Power Sources,” Progress in Advanced
Energy Conversion, the Institute for Defense and Business, Chapel
Hill, North Carolina, Sept. 6-7, 2007.
E.O. Mikkola, B.Vermeire,T. Chiu, H. Barnaby, H.G. Parks, “Total
Dose Radiation Effect Simulations on a High-Precision Data
Acquisition System,” Proc. 9th Intl. Conf. Radiation and Its Effects on
Components and Systems (RADECS), Deauville, France, Sept. 2007.
S. K.Ahuja and S. Ramasubramanian,“Enhancing Robustness Under
Dual-Link Failures,” Proc. IEEE Intl. Conf. Computer Communications
and Networks (ICCCN), pp. 510-515, Honolulu, Hawaii,Aug. 2007.
S. Kini and S. Ramasubramanian,“SenNetSim: a GUI-Based
Simulator for Sensor Networks,” DEMO Paper, Proc. IEEE Conf.
Sensor, Mesh, and Ad Hoc Communications and Networks (SECON),
San Diego, California, pp. 703-704, Jun. 2007.
Ossama Younis, Srinivasan Ramasubramanian, and Marwan Krunz,
“Location-Unaware Sensing Range Assignment in Sensor
Networks,” Proc. IFIP Networking 2007 C,Atlanta, May 14-18, 2007.

Preetha Thulasiraman, Srinivasan Ramasubramanian, and Marwan
Krunz,“Disjoint Multipath Routing To Two Distinct Drains in a
Multi-Drain Sensor Network,” Proc. IEEE INFOCOM 2007 C,
Anchorage,Alaska, May 6-12, 2007.
Luca Caucci, Harrison H. Barrett, Nicholas Devaney, and Jeffrey J.
Rodriguez,“Statistical Decision Theory and Adaptive Optics: a
Rigorous Approach to Exoplanet Detection,” Adaptive Optics:
Analysis and Methods, OSA Topical Meeting,Vancouver, B.C., Canada,
Jun. 18-20, 2007.
E. D’Mello, J.W, Rozenblit,“Design for a Patient-Centric Medical
Information System Using XML Web Services,”Proc. 2007 Intl. Conf.
Information Technology (ITNG’07), pp. 562-567, 2007.
C. Feng, J.W. Rozenblit, PhD and A.J. Hamilton, MD,“A Hybrid View
in a Laparoscopic Surgery Training System,” Proc. 14th IEEE Intl.
Conf. and Workshops on the Engineering of Computer Based Systems
(ECBS ’07), pp. 339-348,Tucson,Arizona, Mar. 2007
C. Feng, J. Peng, H. Qiao, and J.W. Rozenblit,“Alert Fusion for a
Computer Host Based Intrusion Detection System,” Proc. 14th IEEE Intl. Conf. and Workshops on the Engineering of Computer Based
Systems (ECBS ’07), pp. 433-440,Tucson,Arizona, Mar. 2007.
C. Feng, L.Yang, J.W. Rozenblit, and P. Beudert,“Design of a
Wireless Sensor Network Based Automatic Light Controller in
Theater Arts,” Proc. 14th IEEE Intl. Conf. and Workshops on the
Engineering of Computer Based Systems (ECBS ’07), pp. 161-170,
Tucson,Arizona, Mar. 2007.
J. Peng, C. Feng, H. Qiao, and J.W. Rozenblit,“An Event-driven
Architecture for Fine Grained Intrusion Detection and Attack
Aftermath Migitation,” Proc. 14th IEEE Intl. Conf. and Workshops on
the Engineering of Computer Based Systems (ECBS ’07),Tucson,
Arizona, pp. 55-62, Mar. 2007.
H. Qiao, J. Peng, C. Feng, and J.W. Rozenblit,“Behavior Analysis
Based Learning Framework for Host Level Intrusion Detection,”
Proc. 14th IEEE Intl. Conf. and Workshops on the Engineering of
Computer Based Systems (ECBS ’07), pp. 441-447,Tucson,Arizona,
Mar. 2007.
H. Haniffa, J.W. Rozenblit, J. Peng,A.J. Hamilton and M. Salkini,
“Motion Planning System for Minimally Invasive Surgery,” Proc.
14th IEEE Intl. Conf. and Workshops on the Engineering of Computer
Based Systems (ECBS ‘07), pp. 609-610,Tucson,Arizona, Mar. 2007.
F. Peng and W.E. Ryan,“MLSD Bounds and Near-Optimum
Receiver Designs for Clipped OFDM Channels,” 2007 IEEE Global
Telecommunications Conf. (GlobeCom’07), pp. 1688-1692, Nov. 2007.
S.Abu-Surra, W.E. Ryan, and D. Divsalar,“Ensemble Enumerators
for Protograph-Based Generalized LDPC Codes,” 2007 IEEE
Global Telecommunications Conf. (GlobeCom’07), pp. 1492-1497,
Nov. 2007.
F. Peng, W.E. Ryan, J. Zhang,“MLSD Bounds for Clipped OFDM
Systems Over Frequency-Selective Quasi-Static Fading Channels,”
2007 IEEE Global Telecommunications Conf. (GlobeCom’07),
pp. 1693-1698, Nov. 2007.
Y. Han and W.E. Ryan,“Performance of a Structured IRA Code on
a Perpendicular Recording Channel with Media Noise,” 2007
IEEE Global Telecommunications Conf. (GlobeCom’07), pp. 271-276,
Nov. 2007.
S.Abu-Surra, W.E. Ryan, and D. Divsalar,“Ensemble Trapping
Enumerators for Protograph-Based LDPC Codes,” 2007 Allerton
Conf. Communications, Control, and Computing, 6 pages, Sept. 2007.
Y. Han and W.E. Ryan,“Low-Floor Decoders for LDPC Codes,”
2007 Allerton Conf. Communications, Control, and Computing, 6 pages,
Sept. 2007.
C. Jones, S. Dolinar, K.Andrews, D. Divsalar,Y. Zhang, W. Ryan,
“Functions and Architectures for LDPC Decoding,” 2007 IEEE
Information Theory Workshop, pp. 577-583, Sept. 2007. (Invited paper)
Shadi Abu-Surra, G. Liva, and W.E. Ryan,“On Generalized LDPC
codes and their decoders,” 2007 IEEE Communication Theory
Workshop, 2 pages, May 2007. (Poster presentation)
F. Peng, J. Zhang, and W.E. Ryan,“Adaptive Modulation and Coding
for IEEE 802.11,” 2007 IEEE Wireless Communications and
Networking Conf., pp. 656-661,
Mar. 2007.
S.Abu-Surra, W.E. Ryan, and D. Divsalar,“Ensemble Weight
Enumerators for Protograph-Based Generalized LDPC Codes,”
2007 UCSD Information Theory and Applications Workshop, pp. 342-
348, Jan.-Feb. 2007. (Invited paper)
K. Simmons-Potter,A.Vaddigiri,W.J.Thomes, Jr., and
D.C. Meister,“Impact of Ionizing Radiation on the Optical
Properties of YAG Laser Materials,” Proc. SPIE,Vol. 6662, pp.666203-
1–666203-9, 2007. (Invited paper)
B.P. Fox, K. Simmons-Potter, J.H. Simmons,W.J.Thomes, Jr., R.P.
Bambha and D.A.V. Kliner,“Investigation of Radiation-Induced
Photodarkening in Passive Erbium-,Ytterbium-, and Yb/Er Co-
Doped Optical Fibers,” Proc. SPIE,Vol. 6713, pp. 671327-1 –
671327-9, 2007.
K. Simmons-Potter,A.Vaddigiri and W.J.Thomes, Jr.,
“Microstructural Effects in Gamma Irradiated Nd:YAG Laser
Rods,” Proc. Conf. Hardened Electronics and Radiation Technology,Vol.
27, pp. B4.1 – B4.4, 2007.
K. Simmons-Potter, B.P. Fox, J. Simmons,W.J.Thomes, Jr., D.C.
Meister, R.P. Bhamba and D.A.V. Kliner,“Rare-Earth-Doped Optical
Fiber Amplifiers,” Proc. Conf. Hardened Electronics and Radiation
Technology,Vol. 27, pp. PB1.1-PB1.4, 2007.
B.P. Fox, Z.V. Schneider, K. Simmons-Potter,W.J.Thomes, Jr., D.C.
Meister, R.P. Bambha, D.A.V. Kliner and M.J. Söderlund,“Gamma
Radiation Effects in Yb-Doped Optical Fiber,” Proc. SPIE,Vol. 6453,
pp. 645328-1–645328-8, 2007.
M.Arabaci and R. N. Strickland,“Direction of Arrival Estimation in
Reverberant Rooms Using a Resource-Constrained Wireless
Sensor Network,” Proc. IEEE Intl. Conf. Pervasive Services, pp. 29-38,
Istanbul, Jul. 2007.
M. Ivkovic, S. K. Chilappagari, and B.Vasic,“Designing LDPC Codes
Without Small Trapping Sets by Using Tanner Graph Covers,” Proc.
Intl. Symp. Information Theory (ISIT 2007), pp. 2266 – 2270, Nice,
France, Jun. 24-29, 2007.
R. Radhakrishnan, S. Sankaranarayanan, and B.Vasic,“Analytical
Performance of One-Step Majority Logic Decoding of Regular
LDPC Codes,” Proc. Intl. Symp. Information Theory (ISIT 2007),pp.
231–235, Nice, France, Jun. 24-29, 2007.
B.Vasic and S. K. Chilappagari,“Reliable Memories Built from
Unreliable Components,” Proc. 51st C on Electronics,
Telecommunications, Computers,Automation and Nuclear Engineering
(ETRAN 2007), Herceg Novi–Igalo, Montenegro, Jun. 4–8, 2007.
B.Vasic and S. K. Chilappagari,“Reliable Storage of Information in
Systems Made of Faulty Components,” UCSD Center for Information
Theory and its Applications Second Workshop, San Diego, CA, Jan 29-
Feb 2, 2007. (Invited talk)
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39
A. Mitev, D. Canesan, D. Shammgasundaram,Y. Cao and J.M.Wang,
“Robust Finite-Point Based Gate Model Considering Process
Variations,” IEEE/ACM Intl. Conf. Computer-Aided Design (ICCAD),
pp. 692 – 697, Nov. 2007.
D. Nguyen, MA. Baysal, E.Toker and J.M.Wang,“Design and Initial
Performance Evaluation of a Full Field Digital Mammography
Upgrade Cassette,” Proc. SPIE, Sept. 2007.
V.Agarwal, J. Sun,A. Mitev, and J.M.Wang,“Delay Uncertainty
Reduction by Interconnect and Gate Splitting,” IEEE Asia and
South Pacific Design Automation Conf. (ASPDAC), pp. 690 – 695, Jan.
2007.
H. Xin, Z.Wu,A.Young, and Richard Ziolkowski,“THz Thermal
Radiation Enhancement Using Electromagnetic Crystals,” Proc.
2007 IEEE AP-S Intl. Symp. and USNClURSI Natl. Radio Science
Meeting, Honolulu, HI, paper no. 215.5, June 10-15, 2007.
Ming Zhang,Azzedine Boukerche, Bernard P. Zeigler,“Exploiting
the Concept of Activity for Dynamic Reconfiguration of
Distributed Simulation,” Distributed Simulation and Real-Time
Applications, 2007 (DS-RT 2007), 11th IEEE Intl. Symp., pp. 87–94,
Oct. 22-26, 2007.
H.J. Lee,Taekyu Kim, B. P. Zeigler, Dale Fulton, Doohwan Kim,
“Improving Testing Capability of Interoperability for Link-11 by
building a Gateway for a TCP/IP Network,” SISO 2007 Fall
Simulation Interoperability Workshop, Orlando, FL, Sept. 2007.
X. Hu, B.P. Zeigler, M.H. Hwang, E. Mak,“DEVS Systems-Theory
Framework for Reusable Testing of I/O Behaviors in Service
Oriented Architectures,” Proc. 2007 IEEE Intl. C on Information Reuse
and Integration (IRI 2007), pp. 394–399,Aug.13-15, 2007.
Saurabh Mittal, José Luis Risco Martín, Bernard P. Zeigler,“DEVS-
Based Web Services for Net-Centric T&E,” Summer Computer
Simulation C (SCSC’07), San Diego, Jul. 2007. 9 pages.
H.J. Lee,Taekyu Kim, B.P. Zeigler, Dale Fulton, Doohwan Kim,
“Improving Testing Capability of Interoperability for Link-11 by
Building a Gateway for a TCP/IP Network,” SISO 2007 Fall
Simulation Interoperability Workshop, Orlando, FL, Sept. 2007.
Rajanikanth Jammalamadaka and Bernard P. Zeigler,
“A Generic Pattern for Modifying Traditional PDE Solvers to
Exploit Heterogeneity in Asynchronous Behavior,” Principles of
Advanced and Distributed Simulation, 2007 (PADS ‘07), 12-15,
pp. 45 – 52, Jun. 2007.
Saurabh Mittal, José Luis Risco Martín, B.P. Zeigler,“DEVSML:
Automating DEVS Execution Over SOA Towards Transparent
Simulators,” Special Session on DEVS Collaborative Execution and
Systems Modeling Over SOA, DEVS Integrative M&S Symp. DEVS’ 07,
Mar. 2007. 9 pages.
José Luis Risco Martín, Saurabh Mittal, B.P. Zeigler,“A W3c XML
Schema for DEVS Scenarios,” DEVS Integrative M&S Symp. DEVS’
07, Mar. 2007. 8 pages.
R.W. Ziolkowski,A. Erentok, and E. Okay,“Densely Packed Arrays
of Metamaterial-Inspired Antennas,” Proc. 2007 European Conference
on Antennas and Propagation (EuCAP2007), Edinburgh, Scotland, Nov.
11-16, 2007.
R.W. Ziolkowski,A. Erentok and J.A. Gordon,“Active
Metamaterials:Applications from Broad Bandwidth Efficient
Electrically-Small Antennas to Coated Nano-Particle Lasers,” Proc.
Metamaterals 2007, pp. 868-871, Rome, Italy, Oct. 22-24, 2007.
A. Erentok and R.W. Ziolkowski,“Metamaterial-Inspired Efficient
Electrically-Small Antennas: Designs and Experiments of 2D and
3D Electric and Magnetic Versions,” Proc. Metamaterials 2007,
pp. 239-241, Rome, Italy, Oct. 22-24, 2007.
S.Arslanagic, R.W. Ziolkowski, and O. Breinbjerg,“Radiation
Properties of Concentric Metamaterial Spheres Excited by an
Electric Hertzian Dipole,” Proc. Metamaterials 2007, pp. 451-454,
Rome, Italy, Oct. 22-24, 2007.
R.W. Ziolkowski and A. Erentok,“Metamaterial-Based and
Metamaterial-Inspired Efficient Electrically Small Antennas:
Designs, Simulations and Experiments,” Proc. Intl. Symp.Antennas
and Propagation, ISAP2007, Niigata, Japan,Aug. 2007.
S. J. Franson and R.W. Ziolkowski,“High Data Rate Modulation
Issues in Metamaterial-Based Antenna Systems,” Proc. 2007
IEEE AP-S Intl. Symp. and USNC/URSI Natl. Radio Science Meeting,
Honolulu, HI, paper no. 135.10, Jun. 10-15,2007.
C. G. Parazzoli, R. B. Greegor, M. H.Tanielian, D. R. Smith, S.
Cummer, D. Schurig, and R.W. Ziolkowski,“Applications of
Metamaterials in the GHz Frequency Domain,” Proc. 2007 IEEE
AP-S Intl. Symp. and USNC/URSI Natl. Radio Science Meeting,
Honolulu, HI, paper no. 135.3, Jun. 10-15, 2007.
A. Erentok and R.W. Ziolkowski,“Efficient Metamaterial-Inspired
Electrically-Small Magneticbased Antennas:Two- And Three-
Dimensional Realizations,” Proc. 2007 IEEE AP-S Intl. Symp.
and USNC/URSI Natl. Radio Science Meeting, Honolulu, HI,
paper no. 139.3, Jun. 10-15, 2007.
A. Erentok and R.W. Ziolkowski,“Efficient Metamaterial-Inspired
Electrically-Small Electricbased Antennas:Two- and Three-
Dimensional Realizations,” Proc. 2007 IEEE AP-S Intl. Symp.
and USNC/URSI Natl. Radio Science Meeting, Honolulu, HI,
paper no. 205.1, Jun. 10-15,2007.
A. Erentok and R.W. Ziolkowski,“A Dual-Band Efficient
Metamaterial-Inspired Electrically-Small Magnetic-Based Antenna,”
Proc. 2007 IEEE AP-S Intl. Symp. and USNC/URSI Natl. Radio Science
Meeting, Honolulu, HI, paper no. 205.5, Jun. 10-15, 2007.
R.W. Ziolkowski,“From Designs to Practical Realizations:The
Benefits of Analytical Models,” Proc. 2007 IEEE AP-S Intl. Symp.
and USNClURSI Natl. Radio Science Meeting, Honolulu, HI,
paper no. 301.4, Jun. 10-15, 2007.
R.W. Ziolkowski and P. Jin,“Using Metamaterials to Achieve Phase
Center Compensation in a Log-Periodic Array,” Proc. 2007 IEEE
AP-S Intl. Symp. and USNC/URSI Natl. Radio Science Meeting,
Honolulu, HI, paper no. 305.1, Jun. 10-15, 2007.
A. Erentok and R.W. Ziolkowski,“Lumped Element Capacitor
Based Two-Dimensional Efficient Metamaterial-Inspired Electrically-
Small Antenna,” 2007 Intl.Workshop on Antenna Technology: Small
and Smart Antennas, Metamaterials and Applications, 1W A T2007,
Cambridge, UK, Mar. 2007.
5. Electronic publications and other media
Bernard P. Zeigler, Extensive and organized course material for a
reference course implementation of “Introduction to Modeling and
Simulation using DEVS and DEVSJAVA” – made available to assist
and influence the development of introductory courses in M&S. on
the web at: http://www.acims.arizona.edu/EDUCATION/refCourse.html

We gratefully acknowledge the support
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Tucson Embedded Systems
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