IEEE Signal Processing Society
· July 30, 2010 talk (IEEE Signal Processing Society Distinguished Lecturer Talk): “Understanding and Managing Interference in Wireless Networks” by Prof. Venu Veeravalli from University of Illinios at Urbana-Champaign.
· June 14, 2010 talk : “Cooperation
Stimulation in Peer-to-Peer Live Streaming” by Prof. H. Vicky Zhao from
University of Alberta.
· June 3, 2010 talk (IEEE Signal Processing Society
Distinguished Lecturer Talk): “Structural
Results in Networked Sensor Management” by Prof. Vikram
Krishnamurthy from University of British Columbia (UBC).
·
May 28, 2010: IEEE
mini-symposium on engineering for biomedical applications
·
Mar. 26,
2010 talk (IEEE Signal Processing Society Distinguished Lecturer Talk): “From
Single Media to Multimedia - Perception, Coding, and Quality” by Prof. Sheila Hemami from Cornell University.
· Oct. 16, 2009 talk (IEEE Signal Processing
Society Distinguished Lecturer Talk): “The Particle Filtering Methodology in
Signal Processing ” by Prof. Petar
Djuric from Stony Brook University.
· Oct. 5, 2009talk: “Developments in Biometric
Templates Protection” by Dr. Ton Kalker from HP Labs.
· Sep. 25, 2009talk: “Wireless
Sensors Networks: A New Life Paradigm” by Prof. Magdy
Bayoumi from University of Louisiana.
· May 15,
2009 talk (IEEE Signal Processing
Society Distinguished Lecturer Talk): “Flow Detection and
Anonymous Networking” by Prof. Tong from Cornell University.
· July 18,
2008 talk: “A Few Tricks for Anti-Piracy of Digital and Physical Goods” by Dr. Darko Kirovski from Microsoft
Research,
·
May 8, 2008 talk (IEEE Signal Processing Society
Distinguished Lecturer Talk): "From Image Analysis to
Content Extraction: Are We There Yet? " by Prof. Tsuhan
Chen from
·
Feb.
28, 2008 talk:
"Joint Coding and Embedding Framework for Multimedia Fingerprinting"
by Dr. Shan He from Thomson Corporate Research.
·
October
15, 2007 talk:
“On the Root of Digital Signal Processing” by Dr. Andreas Antoniou from UVic.
Speaker: Prof. Venugopal
V. Veeravalli
Electrical & Computer Engineering Dept., University
of Illinios at Urbana-Champaign, USA
·
Time: Friday, July 30, 2010, 3:30pm to 4:30pm
·
Location: Room KAIS 2020, Fred
Kaiser Building (2332 Main Mall), University of British Columbia
Abstract:
The
understanding of point-to-point wireless communications channels with fading
and receiver thermal noise is mature. Recent advances, particularly in the area
of multiantenna communications, have led to
significant increases in the capacity and reliability of point-to-point links.
However, modern wireless networks are limited by interference from other links.
While the information theory for interference networks is still in its infancy,
several techniques are being explored in the research community for managing
interference, while maintaining high spectral spatial reuse efficiencies in
these networks. These techniques include spatial user separation, interference
cancellation, user cooperation and relaying, dynamic spectrum access, and
interference alignment. The first half of this talk will be an overview of
these techniques. In the second half of this talk, we will discuss some of our
recent results towards an understanding of the information-theoretic capacity
of interference networks. We first
discuss a partial solution to the capacity of the two-user interference channel
in the weak interference regime, a problem that has been open for more than
thirty years. We also discuss new techniques for exploiting partial transmitter
cooperation in interference channels in optimal ways.
Biography of Prof. Venu
Veeravalli:
Venu Veeravalli received the Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1992. He is currently a Professor in the department of Electrical and Computer Engineering, and a Research Professor in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He was on the faculty of the School of ECE at Cornell University before he joined Illinois in 2000. He served as a program director for communications research at the U.S. National Science Foundation in Arlington, VA during 2003-2005. His research interests include wireless communications, distributed sensor systems and networks, detection and estimation theory, and information theory. He is a Fellow of the IEEE, and a recipient of the IEEE Browder J. Thompson Best Paper Award and the Presidential Early Career Award for Scientists and Engineers (PECASE).
Speaker: Prof. H. Vicky Zhao
Electrical & Computer Engineering Dept.,
University of Alberta, Canada
·
Time: Monday, June 14, 2010, 3:30pm to 4:30pm
·
Location: Room KAIS 2020, Fred
Kaiser Building (2332 Main Mall), University of British Columbia
Abstract:
With
recent advances in multimedia, communications and networking technologies,
peer-to-peer (P2P) live streaming becomes increasingly popular, and we have
seen many successful deployments, for example, PPLive,
CoolStreaming, Sopcast,
etc. To provide reliable and satisfactory level of service, it is of crucial
importance to stimulate user cooperation, to understand how users interact with
each other, and to analyze the impact of human factors on P2P live streaming
systems. Such an understanding provides fundamental guidelines to better design
of P2P live streaming systems, and to offer more secure and personalized
services. Human and social dynamics has recently been identified by US National
Science Foundation as one of its five priority areas, which also shows the
importance of this emerging interdisciplinary research area. This talk
introduces our recent works on cooperation stimulation for P2P live streaming
systems. First, the mesh-pull peer-to-peer live streaming systems will be
introduced. Then, a game-theoretic framework will be proposed to model and
analyze user dynamics in P2P live streaming and to stimulate user cooperation.
Finally, different defensive mechanisms will be explored to resist pollution
attacks and stimulate user cooperation even under attacks.
Biography of Prof. H. Vicky Zhao:
H. Vicky Zhao (M'05) received the B.S. and M.S. degree from Tsinghua University, China, in 1997 and 1999, respectively, and the Ph. D degree from University of Maryland, College Park, in 2004, all in electrical engineering. She was a Research Associate with the Department of Electrical and Computer Engineering and the Institute for Systems Research, University of Maryland, College Park from Jan. 2005 to July 2006. Since August 2006, she has been an Assistant Professor with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. Dr. Zhao’s research interests include information security and forensics, multimedia social networks, digital communications and signal processing. Dr. Zhao received the IEEE Signal Processing Society (SPS) 2008 Young Author Best Paper Award. She co-authored the book "Multimedia Fingerprinting Forensics for Traitor Tracing" (Hindawi, 2005). She is the Associate Editor for IEEE Signal Processing Letters and Elsevier Journal of Visual Communication and Image Representation.
Speaker: Prof.
Vikram Krishnamurthy
Electrical & Computer Engineering Dept.,
University of British Columbia, Canada
·
Time: Thursday, June 3, 2010, 3:30pm to 4:30pm
·
Location: Room KAIS 2020, Fred
Kaiser Building (2332 Main Mall), University of British Columbia
Abstract:
This
seminar deals with sensor activation and social learning in sensor networks
using game theoretic and stochastic control methods.The
talk comprises of three parts. In the first part, we describe how social
learning leads to rational herding and how optimized social learning has a
threshold structure on the simplex of Bayesian posterior distributions. In the
second part of the talk, we illustrate how the theory of global games gives a
powerful method for designing decentralized data-aware sensor activation algorithms
in dense sensor networks. We show that the Nash equilibrium of the sensor
network has a simple threshold structure and exhibits a remarkable phase
transition as more data is collected. In the third part of the talk we describe
how decentralized adaptive filtering algorithms with regret matching can be
deployed in sensor networks to guide network behavior to a correlated
equilibrium. A major theme of the talk will be the focus on structural
properties and convergence analysis that result in numerically efficient
algorithms rather than brute force computational methods.
Biography of Prof. Vikram
Krishnamurthy:
Vikram Krishnamurthy received his Ph.D from the Australian National University, Canberra, in
1992. He currently is a professor and Canada Research Chair at the Department
of Electrical Engineering, University of British Columbia, Vancouver,
Canada. His current research interests include computational game theory and
stochastic control in sensor networks, and stochastic dynamical systems for
modeling of biological ion channels and biosensors. In 2009-2010, he serves as Distinguished lecturer for the IEEE signal processing
society. He also serves as editor in chief of IEEE journals selected topics in
Signal Processing.
This event is
free-of-charge and open to all members of the engineering community. However,
pre-registration is required. Please send your name and affiliation to
2010biomed@gmail.com with the subject line “Registration - 28 May 2010” and
indicate if you are an IEEE member.
This three-hour event will bring
together academic researchers and industry experts to review recent progress
and opportunities related to engineering for biomedical applications. A keynote
presentation will be followed by several shorter presentations. The timing and
location of the event is designed to facilitate participation by attendees from
the BC Interior, Vancouver Island, Alberta and Washington State.
Speaker: Prof. Sheila S. Hemami
School of Electrical & Computer Engineering,
Cornell University, USA
·
Time: Friday, Mar. 26, 2010, 3:30pm to 4:30pm
·
Location: Room KAIS 2020, Fred
Kaiser Building (2332 Main Mall), University of British Columbia
Abstract:
Humans
are the ultimate consumers of multimedia information, and effective system
design requires a performance metric. While
such metrics have been extensively studied for single-media perception for one
or more decades, those for multimedia perception and use are still in their
relative infancy. In this talk, I will
focus on the development of single-media quality metrics for audio and visual
information, and contrast it with the development of appropriate metrics for
multimedia information. I will describe
how humans perceive single-media information, how an understanding of perception
has been incorportated into single-media coding and
then quality measurement, and I will discuss the current state of understanding
of multimedia perception as it has been applied to coding and quality
measurement problems.
Biography of Prof. Sheila Hemami:
Sheila
S. Hemami (F) received the B.S.E.E. degree from the
University of Michigan in 1990, and the M.S.E.E. and Ph.D. degrees from
Stanford University in 1992 and 1994, respectively. Her Ph.D. thesis was
entitled "Reconstruction of Compressed Images and Video for Lossy Packet Networks" and she was one of the first
researchers to work on what we now call "error concealment." She was
with Hewlett-Packard Laboratories in Palo Alto, California in 1994 and worked
on video-on-demand. She joined the School of Electrical Engineering at Cornell
University in 1995, where she holds the title of Professor and directs the
Visual Communications Laboratory.
Dr.
Hemami's research interests broadly concern
communication of visual information, both from a signal processing perspective
(signal representation, source coding, and related issues) and from a
psychophysical perspective. Dr. Hemami is an IEEE
Fellow and has held various visiting positions, most recently at the University
of Nantes, France and at Ecole
Polytechnique Federale de
Lausanne, Switzerland. She has received numerous college and national teaching
awards, including Eta Kappa Nu's C. Holmes MacDonald
Award. She is currently Editor-in-Chief, IEEE Transactions on Multimedia
(2008-10); Member-at-Large of the IEEE Signal Processing Society Board of
Governors (2009-11), and an SPS Distinguished Lecturer (2010-11). She has Chaired the IEEE Image and Multidimensional Signal
Processing Technical Committee (2006-07); and served as Associate Editor, IEEE
Transactions on Signal Processing (2000-06).
Speaker: Prof. Petar Djuric
Dept. of Electrical & Computer Engineering, Stony
Brook University, USA
·
Time: Friday, Oct. 16, 2009, 11:00am to 12:00pm
·
Location: Room KAIS 2020, Fred
Kaiser Building (2332 Main Mall), University of British Columbia
Abstract:
Particle
filtering is a Monte Carlo – based methodology for sequential signal
processing. It is designed for estimation of hidden processes that are dynamic
and that can exhibit most severe nonlinearities. Also, it can be applied with
equal ease to problems that involve any type of probability distributions.
Therefore, it is not surprising that particle filtering has gained immense
popularity. In this talk, first, the basics of particle filtering will be
provided with description of its essential steps. Then some important topics of
the theory will be addressed including Rao-Blackwellization,
smoothing, and estimation of constant parameters. Finally, a presentation of most recent
advances in the theory will be given. The talk will contain signal processing
examples which will aid in gaining valuable insights about the methodology.
Biography of Prof. Petar
Djuric:
Petar M. Djuric
(F) received his B.S. and M.S. degrees in Electrical Engineering from the
University of Belgrade, in 1981 and 1986, respectively, and his Ph.D. degree in
Electrical Engineering from the University of Rhode Island (1990). From 1981 to
1986, Prof. Djuric was a Research Associate with the
Institute of Nuclear Sciences, Vinca, Belgrade. Since 1990, he has been with Stony Brook
University, where he is Professor, Department of Electrical and Computer
Engineering. His research interests are in the area of statistical signal
processing, and his primary interests are in the theory of modeling, detection,
estimation, and time series analysis and its application to a wide variety of
disciplines including wireless communications and biomedicine.
Prof.
Djuric has served on numerous technical committees for the IEEE and has been
invited to lecture at universities in the United States and overseas. His SPS
activities include: Vice President-Finance (2006-09); Area Editor of Special
Issues, IEEE Signal Processing Magazine (2002-05); Associate Editor, IEEE
Transactions on Signal Processing (1994-96 and 2003-05); Chair, SPS Signal
Processing Theory and Methods Technical Committee (2005-06); and Treasurer, SPS
Conference Board (2001-03). He is an Editorial Board Member, IEEE Journal on
Special Topics in Signal Processing, Elsevier Digital Signal Processing,
Elsevier Signal Processing, and the EURASIP Journal on Wireless Communications
and Networking. Prof. Djuric is an IEEE Fellow, as
well as a Member of the American Statistical Association and the International
Society for Bayesian Analysis.
Speaker: Dr. Ton Kalker
Multimedia
Communications & Networking Lab, HP Labs, Palo Alto, CA, USA
·
Time: Monday, Oct. 5, 2009, 3:00pm to 4:00pm
·
Location: Room KAIS 2020, Fred
Kaiser Building (2332 Main Mall), University of British Columbia
Abstract:
An unfortunate side effect of the
growth of the Internet and its associated services is an increasing need to
securely store and manage a multitude of user identities and passwords. Very
often the numbers that need to be managed are too large to be practical, and
people resort to re-using passwords and/or using simple (and guessable) schemes
for password generation. Biometrics is often proposed as a way out of this
dilemma: biometric data are unique to a person, they are hard to replicate, and
they don't need to be remembered. However, biometric data for authentication
suffer from a number of potential pitfalls that need to be resolved before they
can replace classical password schemes. One example would be the lack of
renewability of a biometric template: once a biometric template has been compromised,
there is no obvious way to renew authentication data. In this talk, we will
give an overview of issues around biometric template detection, addressing both
threats and potential solutions. In particular we will discuss some recent
results on the rate of biometric authentication schemes as a function of
biometric information leakage.
Biography of Dr. Ton Kalker:
Dr. Ton Kalker
is a Distinguished Technologist at Hewlett-Packard Laboratories. His interests
are in the fields of signal and audio-visual processing, media security,
biometrics, information theory and cryptography. He has made significant
contributions to media security, in particular digital watermarking, robust
media identification and interoperability of Digital Rights Managements
systems. His solution for standardization of video watermarking for DVD copy
protection was accepted as the core technology for the proposed DVD copy
protection standard and earned him the title of Fellow of the IEEE. He laid the
foundation of the Content Identification business unit of Philips Electronics,
which was successful in commercializing watermarking and other identification
technologies. At Philips, he co-authored 30 patents and 39 patent applications.
Since joining Hewlett-Packard in
2004, he has focused on the problem of non-interoperability of DRM systems. He
became one of the three lead architects of the Coral consortium, publishing a
standard framework for DRM interoperability in the summer of 2007. He also
participates actively in the academic community, through students,
publications, keynotes, lectures, membership in program committees and serving
as conference chair. He is a co-founder of the IEEE Transactions on Information
Forensics, and a former chair of the associated Technical Committee of Information
Forensics and Security. He served for 6 years as visiting faculty at the
University of Eindhoven, and is currently a visiting professor at the Harbin
Institute of technology.
Speaker: Prof. Magdy Bayoumi
Computer
Science Department, University of Louisiana at Lafayette
·
Time: Friday, Sep. 25, 2009, 11:00am to 12:00pm at KAIS 2020
·
Location: Fred
Kaiser Building (2332 Main Mall), University
of British Columbia
Abstract:
Computers, communication, and
sensing technologies are converging to change the way we live, interact, and
conduct business. Wireless sensor networks reflect such convergence. These
networks are based on collaborative efforts of a large number of sensor nodes.
They should be low-cost, low-power, and multifunction. These nodes have the
capabilities of sensing, data processing, and communicating. Sensor networks
have a wide range of applications, from monitoring sensors in industrial
facilities to control and management of energy applications to military and
security fields. Because of the special features of these networks, new network
technologies are needed for cost effective, low power, and reliable
communication. These network protocols and architectures should take into
consideration the special features of sensor networks such as: the large number
of nodes, their failure rate, limited power, high density, etc. In this talk
the impact of wireless sensor networks will be addressed, several of the design
and communication issues will be discussed, and a case study of a current
project of using such networks in drilling and management off-shore oil and
natural gas in the gulf region will be given.
Biography of Dr. Magdy Bayoumi:
Dr. Magdy
A. Bayoumi is Director of The Center for Advanced
Computer Studies (CACS), and Department Head of the Computer Science Department
at the University of Louisiana at Lafayette (UL Lafayette). He is also the Z.L.
Loflin Eminent Scholar Endowed Chair Professor in
Computer Science. Dr. Bayoumi has been a faculty
member in CACS since 1985. He received B.Sc. and M.Sc. degrees in Electrical
Engineering from Cairo University, Egypt; M.Sc. degree in Computer Engineering
from Washington University, St. Louis; and Ph.D. degree in Electrical
Engineering from the University of Windsor, Canada.
Dr. Bayoumi is the recipient of the 2009 IEEE
Circuits and Systems Meritorius Service Award. He is
also the recipient of the IEEE Circuits and Systems Society 2003 Education
Award, and he is an IEEE Fellow.
Dr. Bayoumi
has graduated more than 35 Ph.D. and about 175 Master’s students. He has
published over 300 papers in related journals and conferences. He edited, co-edited and coauthored 5 books in his research
interests. He has been Guest Editor (or Co-Guest Editor) of eight Special
Issues in VLSI Signal Processing, Learning on Silicon, Multimedia Architecture,
Digital and Computational Video, and Perception-on-a-Chip. The latest Special
Issue has been on ‘‘System-on-a-Chip,’’ IEEE Proceedings, 2006. He has given
numerous invited lectures and talks nationally and internationally, and has
consulted in industry. Dr. Bayoumi has served in many
editorial, administrative, and leadership capacities in IEEE Circuits and
Systems (CAS) Society. Currently, he is the Vice President for Conferences. He
was Vice President for Technical Activities, and a member of the Board of
Governors of CAS Society. He has been involved in many conferences, serving in
different capacities.
Speaker: Prof. Lang Tong
School of
Electrical and Computer Engineering, Cornell University
·
Time: Friday, May 15, 2009, 3:30pm to 4:30pm
·
Location: Room KAIS 2020, Fred
Kaiser Building (2332 Main Mall), University of British Columbia
Abstract:
In a wireless network, transmission
activities can be easily monitored using simple devices. Given the record of
transmissions from a set of nodes, one may be able to ascertain whether these
nodes are engaged in some networking operations. While the content of a
wireless transmissions can be protected by cryptographical
techniques, the acts of transmission may reveal critical information about
network operations such as routing and multicasting.
In this talk, we consider two
related problems. The first is the problem of flow detection: given observations
from a set of traffic sensors, to what extent can the presence of an
information flow be detected? We present
results on the fundamental limit of detectability.
The second probem is anonymous networking: to what
extent can we hide an information flow. Here we use information theoretic
measures to characterize the tradeoff between anonymity vs. network throughput.
Biography of Dr. Lang Tong:
Lang Tong is the Irwin and Joan
Jacobs Professor in Engineering at Cornell University. He received his PhD degree from the
University of Notre Dame and was a Postdoc
Research Affilate at Stanford University.
Lang Tong's research interest lies
in the general area of statistical signal processing, communication systems,
and networks. He received the 2004 Best Paper Award from the IEEE Signal
Processing Society, the 2004 Leonard G. Abraham Prize Paper Award from the IEEE
Communications Society, and the 1993 Outstanding Young Author Award from the
IEEE Circuits and Systems Society.
Speaker: Dr. Darko Kirovski
Senior Researcher,
Microsoft
Time: Friday, July 18, 2008, 3:00pm to 4:00pm
Location: Room KAIS 2020, Fred Kaiser Building (2332
Main Mall),
Abstract:
Piracy
of digital and physical goods nowadays is as rampant as it has ever been. The
speaker will review the problem space, and present two widely different
technologies for anti-counterfeiting: one, RF-DNA, based upon the difficulty of
near-exact replication of simple random 3D physical objects, and another, a
transaction protocol for incentive-based off-line viral marketing and sales of
digital media.
Biography of Dr. Darko Kirovski:
Darko Kirovski
received a Ph.D. in computer science from the University of California, Los
Angeles, in 2001. Since April 2000, he has been a researcher at Microsoft
Research. His research interests include: Web services, reliable computing,
system security, multimedia processing, and embedded system design. He has
received the 1999 Microsoft Graduate Research Fellowship, the 2000 ACM/IEEE
Design Automation Conference Graduate Scholarship, the 2001 ACM Outstanding
Ph.D. Dissertation Award in Electronic Design Automation, and best paper awards
at the ACM Multimedia 2002 and the IEEE MMSP 2006. He has authored more than
100 journal and conference papers and filed more than 50 patents.
Speaker: Prof. Tsuhan Chen
IEEE Signal Processing Society Distinguished Lecturer
Professor
ECE Dept., Carnegie Mellon University, Pittsburgh, USA
Time: Thursday, May. 8th, 2008, 2:00pm to 3:00pm
Location: Room KAIS 2020, Fred Kaiser Building (2332
Main Mall),
Abstract
Biography of Prof. Tsuhan
Chen
Speaker:
Dr.
Andreas Antoniou
Professor Emeritus
Department
of Electrical and Computer Engineering
University of Victoria, BC, Canada
Time: Part II: Monday, October 15, 2007, 2:00pm to 3:00pm
Location: Room KAIS
2020, Fred Kaiser Building
(2332 Main Mall),
Abstract
UBC Lecture: : On the Roots of Digital Signal Processing -
1770 to 1970
Oct.
15, 2007, 2:00pm to 3:00pm, Room
KAIS 2020,
The second lecture will deal with certain landmark
discoveries over the period 1770 to 1970. It will demonstrate that the
mathematical tools for spectral analysis were introduced by a group of French
mathematicians who studied or taught at Ecole
Polytechnic in
Biography of Dr. Andreas Antoniou
Speaker: Dr.
Shan He
Time: Thursday, Feb. 28, 2008, 4:30pm to 5:30pm
Location: Room KAIS 2020, Fred Kaiser Building (2332
Main Mall),
Abstract
Biography of Dr. Shan He