|
|
 |
 |
 |
Martin
Vetterli
Ecole Polytechnique Federale de Lausanne
(EPFL) and UC Berkeley
Email:
Tuesday Sept. 05, 2006 - Auditorium room
|
| Distributed Signal
Processing for Sensor Networks
Martin Vetterli
Ecole Polytechnique Federale de Lausanne (EPFL)
and UC Berkeley
Abstract:
A sensor network is a spatio-temporal sampling
device with a wireless communications infrastructure.
In this talk, after a short overview of the
Center
on Mobile Information and Communication Systems,
we will address the following questions:
1. The spatio-temporal structure of distributed
signals, with an
emphasis on the physics behind the signals,
and results on sampling.
2. The interaction of distributed source compression
and transmission,
with a particular focus on joint source-channel
coding.
3. Applications in environmental monitoring,
like for example
tomographic measurements, and a description
of a large scale environmental
monitoring project in the Swiss Alps.
This is joint work with T.Ajdler, G.Barrenetxea,
H.Dubois-Ferriere, I.Jovanovic, R.Konsbruck,
L.Sbaiz (EPFL), R.Cristescu (Caltech), P.L.Dragotti
(Imperial) and M.Gastpar (UC Berkeley).
The work is sponsored by the Center
on Mobile Information and Communication Systems,
funded by the Swiss National Science Foundation.
Biography
Martin Vetterli received his Engineering degree
from ETH in Zurich, his MS from Stanford and
his Ph.D. from EPFL in Lausanne.
In 1986, he joined Columbia University in New
York, first with the Center for Telecommunications
Research and then with the Department of Electrical
Engineering where he was an Associate Professor
of Electrical Engineering. In 1993, he joined
the University of California at Berkeley, were
he was Full Professor until 1997. Since 1995,
he is a Professor at EPFL, where he headed the
Communication Systems Division (1996/1997) and
heads the Audiovisual Communications Laboratory.
From 2001 to 2004 he directed the National Competence
Center in Research on mobile information and
communication systems.
Since October 2004, he is Vice-President for
International Affairs at EPFL. He has held visiting
positions at ETHZ (1990) and Stanford (1998).
His research interests are in the areas of applied
mathematics, signal processing and communications.
He is the co-author of a textbook on ?Wavelets
and Subband Coding?, and of over 100 journal
papers.
|
 |
V.
John Mathews
Department of Electrical & Computer Engineering
University of Utah
Salt Lake City, UT 84112
Email:
Wednesady Sept. 06, 2006 - Auditorium room
|
| Signal Processing
in Maternal-Fetal Medicine
V. John Mathews
University of Utah
Abstract
Between 3 and 8% of pregnant women develop
preeclampsia. Approximately one third of these
women have serious complications including fetal
or perinatal death, premature and small-for-gestational
age infants, maternal cerebrovascular accidents,
congestive heart failure, and maternal death.
Preeclampsia represents an annual health care
expense in excess of $5 billion per year in
medical care for mothers and premature infants
in the United States alone. In addition, many
scientists believe that the burden of cardiovascular
disease in adults begins in the developmental
process and may have roots in maternal-fetal
diseases like preeclampsia and intrauterine
growth restriction. In spite of dramatic reductions
in maternal, fetal and newborn morbidity and
mortality, the occurrence rate of preeclampsia
has remained unchanged during the last century.
This talk will review current research work
on early detection of preeclampsia and other
maternal fetal diseases that has origins in
abnormal placental development. We will start
with an overview of the physiological changes
that take place in the mother and fetus during
pregnancy. We will discuss how the maternal
and fetal circulations systems are affected
by pregnancy-related diseases, and explore some
of the biochemical changes associated with maternal-fetal
diseases. We will then go on to show how signal
processing techniques can be applied to detect
and characterize many differences between normal
and abnormal pregnancies. In general, no one
aspect or measurement is able to predict the
diseases with high sensitivity and specificity.
Multivariate approaches for prediction of maternal-fetal
diseases will be discussed. Such techniques
will allow physicians to assess the likelihood
of the development of preeclampsia and other
diseases with roots in abnormal placental development
early during pregnancy, much before the symptoms
of the disease becomes apparent and allowing
them to provide the higher level of care needed
by the affected patients.
Biography
Dr. V. John Mathews is a Professor of Electrical
and Computer Engineering at the University of
Utah. He received his Ph. D. and M.S. degrees
in Electrical and Computer Engineering from
the University of Iowa , Iowa City, Iowa in
1984 and 1981, respectively, and the B. E. (Hons.)
degree in Electronics and Communication Engineering
from the University of Madras, India in 1980.
At the University of Iowa, he was a Teaching/Research
Fellow from 1980 to 1984, and a Visiting Assistant
Professor in the Department of Electrical and
Computer Engineering during the 1984-85 academic
year. He joined the department of Electrical
Engineering at the University of Utah in 1985,
where he is engaged in teaching signal processing
classes and conducting research in signal processing
algorithms. He served as the Chairman of the
department from 1999 to 2003.
His primary research interests are in adaptive
and nonlinear signal processing and application
of signal processing techniques in communication
systems and biomedical engineering. He is the
author of the book Polynomial Signal Processing,
published by Wiley, and co-authored with Professor
G. L. Sicuranza, University of Trieste, Italy.
He has published more than one hundred technical
papers.
Dr. Mathews is a fellow of IEEE. He has served
as a member of the Signal Processing Theory
and Methods Technical Committee, the Education
Committee and the Conference Board and the Publication
Board of the IEEE Signal Processing Society.
He was the Vice President (Finance) of the IEEE
Signal Processing Society during 2003-2005.
He was elected to the Board of Governors of
the IEEE Signal Processing Society in 2003.
He is a past associate editor of the IEEE Transactions
on Signal Processing, and the IEEE Signal Processing
Letters. He serves on the editorial board of
the IEEE Signal Processing Magazine at present.
He has served on or is currently serving on
the organization committees of several international
technical conferences including as the General
Chairman of the IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP)
2001 and the IEEE DSP Workshop 1998.
|
 |
Leonardo Chiariglione
Digital Media Strategist
CEDEO.net
Via Borgionera, 103
I-10040 Villar Dora (TO) - ITALY
Email:
Thursday Sept. 07, 2006 - Auditorium room
|
|
Signal Processing between research and exploitation
Leonardo Chiariglione
CEDEO.net
Abstract
In the current dynamic environment the time between research
and industry adoption is getting shorter and shorter. In its 18 years
of history MPEG has created a new successful paradigm for channeling
research results into exploitation. The talk will look back at what has
been done and see what must be changed for MPEG to continue serving as a bridge between academia/research and exploitation.
Biography
Leonardo Chiariglione graduated from the Polytechnic of Turin and
obtained his Ph. D. degree from the University of Tokyo in 1973.
He has been at the forefront of a number of initiatives that have
helped shape media technology and business as we know them today. Among
these the Moving Pictures Experts Group (MPEG) standards committee
which he founded and chairs and the Digital Media Project of which he
was the proponent and is the current president.
Dr. Chiariglione is the recipient of several awards: among these the
IBC John Tucker Award, the IEEE Masaru Ibuka Consumer Electronics Award, the Kilby Foundation Award and EURASIP Meritorius Service Award 2002.
Since January 2004 he is the CEO of CEDEO.net, a consulting company
advising major multinational companies on matters related to digital media.
|
 |
H. Vincent Poor
Michael Henry Strater University Professor Department of Electrical
Engineering Princeton University Princeton, NJ 08544 USA
Email:
Friday Sept. 08, 2006 - Auditorium room |
|
Signal Processing Across the Layers in Wireless Networks
H. Vincent Poor
Princeton University
Abstract
A major contemporary issue in the design and deployment of wireless networks is the dramatic increase in demand for new capacity and higher performance. The development of these capabilities is limited severely by the scarcity of two of the principal resources in wireless networks, namely energy and bandwidth. Consequently, the community has turned to a third principal resource, the addition of intelligence at all layers of the network, in order to exploit increases in processing power afforded by Moore's Law type improvements in microelectronics. This talk will focus on two aspects of this phenomenon: the impact of advanced physical-layer signal processing on the higher-layer performance of wireless communication networks, notably energy efficiency, throughput and delay; and the use of advanced signal processing principles to improve the efficiency and efficacy of wireless sensor networks.
Biography
H. Vincent Poor is the Michael Henry Strater Professor of Electrical Engineering at Princeton University, where he is involved in research and teaching in statistical signal processing and its applications in wireless networks and related fields. Among his publications in these areas is the recent book, Wireless Networks: Multiuser Detection in Cross-Layer Design. Dr. Poor is a member of the U.S. National Academy of Engineering and is a Fellow of the American Academy of Arts & Sciences, the IEEE and other organizations. During the 2003-04 academic year he was a Guggenheim Fellow, dividing a sabbatical leave among Imperial College, Stanford and Harvard. In 2005, he received the IEEE Education Medal.
|
|
|
|
|
|
