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Conferences, Lectures, & Seminars
Events for October
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EE-EP Seminar
Mon, Oct 01, 2012 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: W. C. CHEW, University of Illinois, Urbana-Champaign, IL, USA
Talk Title: MULTI-SCALE, MULTI-PHYSICS COMPUTATIONAL ELECTROMAGNETICS
Abstract: Computational electromagnetics (CEM) research is important for producing simulation software that have been used for virtual prototyping and the design of major electrical and electronic components. Solving electromagnetics problem is a challenging task, especially when the structure is electrically large and involves multi-scale structures. This kind of structures is often encountered in circuits in electronic packaging, small antenna designs, RFID sensor designs, and antennas on complex platforms. However, more CEM is used in nano-technologies as in nano-electronics, nano-optics, and Casimir force for N/MEMS.
In this presentation, we will give a brief introduction to the three physics of electromagnetic fields: circuit physics, wave physics, and ray physic. Then we will give an overview of past and recent progress in large scale computing in electromagnetics by our research group, and discuss various methods to overcome multi-scale problems. We will give a brief overview of the wave physics and its relationship to computation. We first discuss large scale computing result from our group as well as other groups in the world using the multi-level fast multipole algorithm (MLFMA). We will discuss the use of self-box inclusion preconditioner, and parallel computing.
The development of the mixed-form fast multipole algorithm (MF-FMA) is essential to capture both circuit physics and wave physics problems. This is key for solving multi-scale problems. We will discuss the equivalence principle algorithm (EPA) to capture the multi-scale physics of complex structures. In this method, complex structures are partitioned into parts by the use of equivalence surfaces. The interaction of electromagnetic field with structures within the equivalence surface is done through scattering operators working via the equivalence currents on the equivalence surfaces. The solution within the equivalence surface can be obtained by various numerical methods. Then the interaction between equivalence surfaces is obtained via the use of translation operators. When accelerated with the mixed-form fast multipole method, large multi-scale problems can be solved in this manner.
We will also discuss the augmented electric field integral equation (A-EFIE) approach in solving the low-frequency breakdown problem as encountered in circuits in electronic packaging. The EFIE is augmented with an additional charge unknown, and an additional continuity equation relating the charge to the current. The resultant equation, after proper frequency normalization, is frequency stable down to very low frequency. This method does not suffer from the low-frequency breakdown, but it does have the low-frequency inaccuracy problem, which can be solved by perturbation method. We will also discuss the augmentation of EPA (A-EPA) to avoid low frequency breakdown, and the hybridization of EPA, A-EPA, and A-EFIE to tackle some multi-scale problems.
Next, we will discuss the use of CEM is used in nano-technologies, as in nano-electronics, nano-optics for solar cell design, and in N/MEMS for Casimir force calculation. In nano-optics, we will discuss the use of surface plasmonics, and plasmonics in nano-particles in enhancing the performace of the solar cell, as well as in spontaneous emission and Purcell effect.
To end, we will discuss some high-frequency techniques when ray-physics becomes important.
Biography: Prof. Chew is the originator of several fast algorithms for solving electromagnetics scattering and inverse problems. He has authored a widely cited book, Waves and Fields in Inhomogeneous Media, and coauthored Fast and Efficient Algorithms in Computational Electromagnetics, in addition to more than 300 scientific journal articles and 400 conference papers, several patents, and book chapters. Prof. Chew is a Fellow of IEEE and OSA. Previously, he was the director of the Center for Computational Electromagnetics and the Electromagnetics Laboratory at UIUC. Prof. Chew was the winner of the IEEE Year 2000 Graduate Teaching Award, the UIUC Campus Award for Excellence in Graduate and Professional Teaching for 2001, a Founder Professor of the College of Engineering at the University of Illinois, and the co-winner of the Schelkunoff Best Paper Award for 2001.
In 2002, ISI Citation elected him to the category of Most-Highly Cited Authors (top 0.01%). His work is cited by electromagneticists, geophysicists, mathematicians, and electro-chemists. He was the YT Lo Endowed Chair Professor of Electrical and Computer Engineering from 2005 to 2010. Before coming to University of Illinois, he was a department manager and program leader at Schlumberger-Doll Research. He was on special leave to serve as the Dean of Engineering at The University of Hong Kong from 2007 to 2011.
For more information, visit http://wcchew.ece.illinois.edu/chew/
Host: Mahta Moghaddam, EE-EP
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Medical Imaging Seminar Series
Tue, Oct 02, 2012 @ 01:45 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Juan Santos, CEO, Heart Vista Inc.
Talk Title: Real-Time Interactive MRI and HeartVista Inc.
Abstract: Real-time MRI is an invaluable technique to capture the dynamic characteristics of physiologic and temporal anatomical changes. Challenges to achieve the necessary temporal and spatial resolution required for a particular study involve the design of fast pulse sequences, minimum latency reconstruction and interactive display and control. We have taken the experience developed for many years in this field to create a comprehensive cardiac evaluation system that can provide rich information in significant less time than a traditional MRI examination. Additionally, the tools and software infrastructure developed for this project have found great value in other areas like interventional MRI, where dynamic procedure feedback is an important advantage.
Biography: Juan Santos is the co-founder and CEO at HeartVista, inc, a medical device company that provides Magnetic Resonance Imaging applications for diagnostic cardiac imaging and interventional MRI. Before HeartVista, Juan was a Consulting Assistant Professor in the Department of Electrical Engineering at Stanford University where he developed novel applications for real-time MRI. He is the author of more than 20 journal articles, 100 conference proceedings and 5 patents. He has been the principal investigator on five NIH grants and co investigator in several others. Juan obtained his Ph.D. in Electrical Engineering from Stanford University and a Masters degree in Electrical Engineering from Universidad Catolica de Chile.
Host: Prof. Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia Veal
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Munushian Seminar
Fri, Oct 05, 2012 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: R. Stanley Williams, Hewlett-Packard Labs
Talk Title: Mott Memristors, Spiking Neuristors and Touring Complete Computing with an Electronic Action Potential
Abstract: Dr. Matthew Pickett and I have been collaborating on a project at HP Labs to explore the possibility of using âlocally-active memristorsâ as the basis
for extremely low-power transistorless computation. We first analyzed the thermally-induced first order phase transition from a Mott insulator to
a highly conducting state in a family of correlated-electron transition-metal oxides, such as Ti4O7 and NbO2. The current-voltage characteristic
of a simple cross-point device that has a thin film of such an oxide sandwiched between two metal electrodes displays a current-controlled
or âSâ-type negative differential resistance (NDR) caused by Joule self-heating if the ambient temperature is below the metal-insulator transition
(MIT). We derived simple analytical equations for the behavior these devices [1,2] that quantitatively reproduce their experimentally measured
electrical characteristics with only one or two fitting parameters, and found that the resulting dynamical model was mathematically equivalent to
the âmemristive systemâ formulation of Leon Chua and Steve Kang [3]; we thus call these devices âMott Memristorsâ. Moreover, these devices
display the property of âlocal activityâ; because of the NDR, they are capable of injecting energy into a circuit (converting DC to AC electrical power)
over a limited biasing range. We built and demonstrated Pearson-Anson oscillators based on a parallel circuit of one Mott memristor and one
capacitor, and were able to quantitatively model the dynamical behavior of the circuit, including the subnanosecond and subpicoJoule memristor
switching time and energy, using SPICE. We then built a neuristor, an active subcircuit originally proposed by Hewitt Crane [4] in 1960 without
an experimental implementation, using two Mott memristors and two capacitors. The neuristor electronically emulates the Hodgkin-Huxley model
of the axon action potential of a neuron, which has been recently shown by Chua et al. [5] to be a circuit with two parallel memristors, and we
show experimental results that are quantitatively matched by SPICE simulations of the output bifurcation, signal gain and spiking behavior that
are believed to be the basis for computation in biological systems. Finally, through SPICE, we demonstrate that spiking neuristors are capable of
Boolean logic and Touring complete computation by designing and simulating the one dimensional cellular nonlinear network based on âRule 137â.
1. Pickett, M. D., Borghetti, J., Yang, J. J., Medeiros-Ribeiro, G. & Williams, R. S. Coexistence of memristance and negative differential resistance in a nanoscale metal-oxide-metal system. Advanced Materials (2011).
2. Pickett, M. D. & Williams, R. S. Sub-100 femtoJoule and sub-nanosecond thermally-driven threshold switching in niobium oxide crosspoint nanodevices. Nanotechnology In Press (2012).
3. Chua, L. & Kang, S. Memristive devices and systems. Proceedings of the IEEE 64, 209-223 (1976).
4. Crane, H. D. The Neuristor. IRE Transactions on Electronic Computers EC-9, 370-371 (1960).
5. Chua, L., Sbitnev, V. & Kim, H. Hodgkin-Huxley axon is made of memristors. International Journal of Bifurcation and Chaos 22, 1-48 (2012).
Biography: R. Stanley Williams is an HP Senior Fellow at Hewlett-Packard Laboratories, one of only five active technologists in HP with this title, and the Director of the Cognitive
Systems Laboratory. He received a B.A. degree in Chemical Physics in 1974 from Rice University and his Ph.D. in Physical Chemistry from U. C. Berkeley in 1978. He was
a Member of Technical Staff at AT&T Bell Labs from 1978-80 and a faculty member (Assistant, Associate and Full Professor) of the Chemistry Department at UCLA from
1980 â 1995. He joined HP Labs in 1995 to found the Quantum Science Research group, which originally focused on fundamental research at the nanometer scale. His
primary scientific research during the past thirty years has been in the areas of solid-state chemistry and physics, and their applications to technology . In 2008, a team
of researchers he led announced that they had built and demonstrated the first intentional memristor, the fourth fundamental electronic circuit element predicted by
Prof. Leon Chua in 1971, complementing the capacitor, resistor and inductor. In 2010, he was named one of the first recipients of the HP CEOâs Award for Innovation
for his work in sensing systems (CeNSE, the Central Nervous System for the Earth). He has received other awards for business, scientific and academic achievement,
including the 2009 EETimes Innovator of the Year ACE Award, the 2007 Glenn T. Seaborg Medal for contributions to Chemistry, the 2004 Herman Bloch Medal for
Industrial Research, and the 2000 Julius Springer Award for Applied Physics. He has over 130 US patents with ~100 pending, more than 200 patents outside the US,
and over 380 papers published in reviewed scientific journals.
Host: EE-Electrophysics
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Noisy Text -- Techniques and Tools for Prosodic Analysis
Mon, Oct 08, 2012 @ 01:30 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Andrew Rosenberg, Queens College (CUNY)
Talk Title: Noisy Text -- Techniques and Tools for Prosodic Analysis
Abstract: Prosody is a crucial component to human spoken communication. A number of phonological models of prosody have been proposed to facilitate empirical testing of linguistic hypotheses. The incorporation of categorical/ symbolic prosodic information into spoken language processing systems remains limited. A more common approach to incorporating prosodic information into spoken language processing applications has been the direct incorporation of acoustic/prosodic features into a feature vector.
This talk will discuss issues around symbolic modeling of prosody including some reasons for why direct modeling has been more prolific than symbolic modeling. Particular focus will be given to recent improvements to AuToBI, a toolkit for automatic ToBI labeling, in terms of feature representation, classification approaches, and software engineering. I'll also cover some recent applications of prosodic analysis to spoken language processing tasks including pronunciation modeling, keyword search, and classification of speaking style and nativeness.
Biography: Andrew Rosenberg is an Assistant Professor of Computer Science at Queens College (CUNY). His research concerns spoken language processing and machine learning. He received his Ph.D. from Columbia University in 2009. His dissertation, and much of his research has focused on techniques and applications of automatic prosodic analysis on which he has written over 30 papers. Andrew Rosenberg also contributed to the IBM Jeopardy! Challenge, working with the speech synthesis team to improve Watsonâs voice.
Host: Prof. Shrikanth Narayanan
Location: Ronald Tutor Hall of Engineering (RTH) - 320
Audiences: Everyone Is Invited
Contact: Mary Francis
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
System-level performance analysis for programmable MPSOC architectures
Mon, Oct 08, 2012 @ 03:45 PM - 04:45 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Patrick Lysaght, Senior Director, Xilinx Research Labs
Talk Title: System-level performance analysis for programmable MPSOC architectures
Abstract: As we transition into the âpost-PC eraâ, embedded systems increasingly deploy heterogeneous, multi-processor system-on-chip (MPSOC) architectures. This talk is about system-level, design optimization in programmable, heterogeneous, MPSOC architectures for embedded applications. The focus is on programmable SOC platforms which integrate both embedded processors and field programmable gate arrays (FPGAs). The Xilinx Zynq family of All Programmable Systems on Chips is used as the reference. Zynq is the first programmable MPSOC family to integrate Xilinx FPGA fabric with ARM Cortex A9 processors in a high-performance, low-power 28nm process technology co-designed by Xilinx and TSMC.
System-level design optimization is important for the silicon architects who create the All Programmable Zynq device architectures and for the application architects who are responsible for mapping their applications to Zynq devices. The silicon and application architects share many of the same concerns, but they have very different perspectives. For example, static power consumption is a shared concern but an application-specific goal such as âfaces recognized per secondâ is a metric only relevant to a particular application. For business and cost reasons, the design environments and tools available to both groups are also markedly different.
We focus in this talk on performance analysis and estimation. We address the experiences of the silicon architect and the application architect emphasizing what is common to both and also the significant differences. The goal is to work towards more efficient methodologies and tools capable of working at high levels of design abstraction while maximizing silicon efficiency.
Biography: Patrick Lysaght is a Senior Director in Xilinx Research Labs, in Xilinx San Jose, Ca. He leads a group whose research interests include system-level performance analysis and estimation, dynamically reconfigurable systems, and emerging design technologies for FPGAs. He also directs the worldwide operation of the Xilinx University Program (XUP). Before joining Xilinx, he held positions as a senior lecturer at the University of Strathclyde (Glasgow) and at the Institute for System Level Integration (Livingston, Scotland). He started his career in research and development with Hewlett Packard (Edinburgh) before going on to hold a number of technical and marketing positions. Patrick has co-authored more than fifty technical papers, co-edited two books on programmable logic and holds eight US patents. He is actively involved in the organization of a number of international conferences and is chairman of the steering committee for FPL, the worldâs largest conference dedicated to field programmable logic. Patrick holds a BSc (Electronic Systems) from the University of Limerick, Ireland and a MSc degree (Digital Techniques) from Heriot-Watt University in Edinburgh, Scotland.
Host: Professor Viktor K. Prasanna
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Janice Thompson
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Medical Imaging Seminar Series
Tue, Oct 09, 2012 @ 01:45 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Steve Conolly, Uiversity California, Berkeley
Talk Title: Magnetic Particle Imaging: A New Angiograph
Abstract: Magnetic Particle Imaging (MPI) is a new imaging modality that makes use of USPIO (Ultra Small Superparamagnetic Iron Oxide) tracers and has the benefit of incredible Signal to Noise and near-perfect contrast. Moreover, the contrast agent is much safer than our current contrast agents (gadolinium and iodine) for patients with poor kidney function (called Chronic Kidney
Disease or CKD). About 40\% of Americans over the age of 60 now have CKD, and this condition makes any subsequent angiogram a very risky prospect. Indeed, CKD patients have almost 30% risk of losing all kidney function---and becoming permanently reliant on dialysis following an iodine injection.
Magnetic Particle Imaging draws from much of the system theory of MRI, but acquisition is in x-space rather than in k-space. The magnetization we image is only the contrast agent,
SPIOs, and human tissue is both transparent and emits zero signal.This is ideal for angiogram studies. Moreover, the magnetization inthe particles is 100 million times stronger than the nuclear paramagnetismwe image in a typical 55 Molar MRI study. There is almost 1 million gain in SNR/mole for MPI over MRI, meaning one day we can hope to image 55 micromolar SPIOs with extraordinary contrast to noise.
My research group at UC Berkeley has built all 7 of the MPI scannersin North America. I will present physics, systems theory (called x-space MPI), image reconstruction, hardware and some initial phantom and mouse
experiments.
Biography: My research group at UC Berkeley has built all 7 of the MPI scannersin North America. I will present physics, systems theory (called x-space MPI), image reconstruction, hardware and some initial phantom and mouse experiments.
Host: Prof. Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia Veal
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Integrated Systems Seminar Series
Fri, Oct 12, 2012 @ 03:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Sorin P. Voinigescu, University of Toronto
Talk Title: In the clouds: Towards 1Tb/s per carrier
Abstract: We all know that power consumption in digital circuits increases linearly with frequency and with the square of the supply voltage. Yet, instead of reducing the supply voltage of circuits to save power we are limiting speed and increasing parallelism. Why is that?
Although computation is more efficient than communication we are choosing parallel architectures to increase the amount of communication on a microprocessor chip.
We are all addicted to wireless mobile devices but wireless communication is 1-2 orders of magnitude more inefficient than wired communication.
We are migrating our data storage to the cloud, worst still, to the mobile cloud, requiring longer and less efficient communication links to store and retrieve our data.
At the current energy consumption rate, neither the datacenters nor the cloud are scalable beyond 1-2 generations.
These problems and potential solutions, at the transistor, circuit and system level, will be touched upon in this talk.
Biography: Prof. Sorin P. Voinigescu received the M.Sc. degree in electronics from the Polytechnic Institute of Bucharest, Romania, in 1984, and the Ph.D. degree in electrical and computer engineering from the University of Toronto, Canada, in 1994.
Between 1994 and 2002 he was first with Nortel Networks and later with Quake Technologies in Ottawa, Canada, where he was responsible for projects in high-frequency characterization and statistical scalable compact model development for Si, SiGe, and III-V devices. He later conducted research on wireless and optical fiber building blocks and transceivers in these technologies. In 2002 he joined the University of Toronto, where he is a full Professor. His research and teaching interests focus on nano-scale semiconductor devices and their application in integrated circuits at frequencies beyond 300 GHz. In 2008-2009 he spent a sabbatical year at Fujitsu Laboratories of America, Sunnyvale, CA, USA.
Dr. Voinigescu is a member of the ITRS RF/AMS Committee and of the TPCs of the IEEE CSICS and BCTM. He received NORTELâs President Award for Innovation in 1996 and is a co-recipient of the Best Paper Award at the 2001 IEEE CICC, the 2005 IEEE CSICS, and of the Beatrice Winner Award at the 2008 IEEE ISSCC. His students have won Student Paper Awards at the 2004 VLSI Circuits Symposium, the 2006 SiRF Meeting, RFIC Symposium and BCTM, and at the 2008 and 2012 International Microwave Symposium.
Dr. Voinigescu was the co-founder and CTO of two start-ups: Quake Technologies, which developed and commercialized the world's first 10-Gb/s SONNET and 10-Gb/s Ethernet transceivers in 2001, and of Peraso Technologies Inc, which has just announced the first antenna-in-package 60-GHz transceiver selling at 5 dollars in quantities of over 100,000. None of those products were in CMOS!
Host: Prof. Hossein Hashemi, Prof. Mahta Moghaddam, Prof. Mike Chen
More Info: http://mhi.usc.edu/activities/integrated-systems/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Hossein Hashemi
Event Link: http://mhi.usc.edu/activities/integrated-systems/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Medical Imaging Seminar Series
Tue, Oct 16, 2012 @ 01:45 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Josh Trzasko, Mayo Clinic
Talk Title: "Sparsity and Beyond: Modern Strategies for MRI Reconstructionâ
Abstract: Following the Compressive Sensing (CS) revolution, sparse regression methods are an increasingly popular tool for magnetic resonance image (MRI reconstruction. In the first half of this talk, I will review the basics of MRI signal modeling and reconstruction, CS theory and the notion of âsparsityâ, discuss clinical challenges of using these methods, and highlight some applications of sparse methods to different problems in MRI. In the second half of this talk, I will focus on our own recent work at Mayo Clinic on generalizations of sparse regression for higher-dimensional MRI problems based on matrix and tensor factorizations, and demonstrate how these techniques can potentially be used for training-free dynamic and calibration-free parallel MRI.
Biography: Joshua Trzasko received a B.S. in Electrical and Computer Engineering at Cornell University in 2003 and a Ph.D. in Biomedical Engineering from Mayo Graduate School in 2009. In 2002, he was an intern in the MRI division at General Electricâs Global Research Center. Dr. Trzasko is currently a Senior Research Fellow in the Center for Advanced Imaging Research at Mayo Clinic, where his research focuses on correction, estimation, and reconstruction problems in MRI, low-dose CT methods, and other biomedical signal processing applications. He is a reviewer for 11 journals, has given several tutorials on sparsity in medical imaging, and is a Junior Fellow of the International Society for Magnetic Resonance in Medicine.
Host: Prof. Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia Veal
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Integrated Systems Seminar Series
Fri, Oct 19, 2012 @ 12:00 PM - 01:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Khurram Sheikh, Powerwave Technologies
Talk Title: The Future of Mobile Broadband
Abstract: Internet coverage and capacity demand is off the charts. The mobile industry is growing by leaps and bounds and carriers need to adapt to the influx of users with an insatiable appetite for consuming data. The growth can mainly be attributed to smartphones, and even more so by the rapid adoption of tablets, which have transformed how consumers and businesses leverage their content.
Global mobile data traffic is just about doubling every year, and will continue to do so through at least 2016, according to Cisco's Mobile Visual Networking Index, one of the industry's most comprehensive annual studies. The iPhone, for instance, uses 24 times as much spectrum as feature cell phones, and the iPad uses 122 times as much, according to the FCC. AT&T has seen the wireless data traffic on its network grow 20,000 percent since the iPhone debuted in 2007. This is a big problem that if not addressed, will leave mobile carriers crippled and mobile customers extremely unhappy.
As carriers upgrade to 4G, many donât realize the networks will easily be outstripped by growing demand and that LTE causes signal attenuation, which shrinks the RF signal radius of high-speed LTE base stations by up to 50 percent compared to 2G service. This means more towers are needed to fix the dead zones, driving up the cost of network deployment. There are also cases where overlaying high performance LTE macrocells on 2G networks create dead spots due to a smaller signal radius.
Operators are also faced with the challenge of providing coverage in places they werenât previously required, both indoors and outdoors, including stadiums and buildings. As more mobile users leverage video conferencing, voice calls, email access and video streaming on their smartphones and tablets, this places heavier burden on networks and operators must provide seamless, uninterrupted, highly reliable coverage no matter where consumers are.
Implementing small cell solutions enable carriers to alleviate coverage and capacity issues and provide a cost-effective solution to build out existing network infrastructure to provide targeted 4G coverage in areas of poor reception and high data usage. Most importantly, small cells will meet the needs of current and future data consumption growth based on the rapid adoption of smartphones and tablets.
Khurram will discuss how to solve these current problems carriers are facing with the implementation of small cells, addressing:
⢠Coverage and capacity issues in areas of high data consumption, areas where signals are weak or non-existent. In this case, small cells can facilitate the expansion of LTE coverage and capacity without requiring new macro sites, which are much more costly and complicated to install
⢠Small cells technology allow coverage to be easily deployed in a variety of indoor and outdoor areas harder to reach by previous technology, such as stadiums, shopping centers and metro stations
⢠Small cells provide compatibility for all operatorsâ existing technology, which is currently at different stages of development within each company. Small cells easily incorporate into networks, no matter the stage of development, providing continuous service to all existing customers while in the process of upgrading, allowing for a seamless transition
Biography: Khurram P. Sheikh is presently Chief Technology Officer of Powerwave Technologies. Mr. Sheikh joined the company in August 2007 in his current capacity and is also the Chairman of the Powerwave Technical Advisory Board. In this role he leads the global product/business units for the company as well the global teams for research and development.
Mr. Sheikh was employed by Time Warner Cable from August 2005 through 2007, as Vice President, Wireless Strategy and Development where he was responsible for the cable and media companyâs entry into the wireless space. Between 2000 and 2005, Mr. Sheikh was Chief Technology Advisor for various divisions within Sprint where he led the next generation advanced technology efforts for the company. Mr. Sheikh is widely recognized in the industry for his pioneering efforts in the development of mobile wireless broadband or â4Gâ wireless technology including WiMAX and LTE. Mr. Sheikh received advanced graduate degrees in Electrical Engineering with specialization in Wireless Communications from Stanford University. He also completed an executive development course in Product Development from the Harvard Business School.
Host: Prof. Hossein Hashemi, Prof. Mahta Moghaddam, Prof. Mike Chen
More Info: http://mhi.usc.edu/activities/integrated-systems/
Location: Hedco Petroleum and Chemical Engineering Building (HED) - 116
Audiences: Everyone Is Invited
Contact: Hossein Hashemi
Event Link: http://mhi.usc.edu/activities/integrated-systems/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Softly Defined Networking
Wed, Oct 24, 2012 @ 03:30 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Gordon Brebner, Distinguished Engineer, Xilinx Labs
Talk Title: Softly Defined Networking
Abstract: Software Defined Networking (SDN) has been described as the hope and hype for the future of networking. Definitions vary, but one research direction is to separate the control plane from the data plane, introducing abstractions that can provide a global network view, a description of required behavior, and a model of packet forwarding. While the worthy goal is to address ossification of the Internet, the âSâ for âsoftwareâ in SDN perhaps unintentionally ossifies views of the respective roles of hardware and software. Specifically, it introduces an inbuilt assumption that there is relatively dumb switching hardware for high-Â‐speed packet forwarding, and relatively intelligent software running on processors for lesser-Â‐speed networking control. Programmable logic technology offers scope for âsoft hardwareâ, with the potential to blur the distinctions between traditional roles. However, such technology must prove both its ability to deliver the necessary high performance and its ability to be programmed in a high-Â‐level manner. In this talk, I will overview research that has been addressing these issues successfully, and will discuss its potential impact on the evolving view of SDN.
Biography: Dr. Gordon Brebner is a Distinguished Engineer at Xilinx, Inc., the worldwide leader in programmable logic platforms. He works in Xilinx Labs in San José, California, USA, leading an international group researching issues surrounding networked processing systems of the future. His main personal research interests concern dynamically reconfigurable architectures, domain-Â‐specific languages with highly concurrent implementations, and high performance networking and telecommunications, with also a historical interest in computational complexity. He has authored numerous papers and the book Computers in Communication, and holds many patents. Prior to joining Xilinx in 2002, Gordon was the Professor of Computer Systems at the University of Edinburgh in the United Kingdom.
Host: Professor Viktor K. Prasanna
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Janice Thompson
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Online Optimization under Uncertainty: Intelligence in the smart grid and a connection to Model Predictive Control
Thu, Oct 25, 2012 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Murali Narayanaswamy, IBM Research, India
Talk Title: Online Optimization under Uncertainty: Intelligence in the smart grid and a connection to Model Predictive Control
Abstract: Incorporating large quantities of intermittent renewable power into the grid highlights the need for intelligent scheduling of generation, loads and storage. Recent advances in solar and wind power prediction offer hope that a reduction in the uncertainty of renewable availability will lead to an increase in its value. However, incorporating these predictions effectively turns out to be a non-trivial problem.
In this talk we show how to model these (and many other) problems as a Markov Decision Process with short term predictions of (or lookahead into) future rewards. In each time step more information is revealed to the algorithm as predictions are updated, leading to what we call dynamic uncertainty. We first show that the natural Model Predictive Control (MPC) based algorithm for this class of problems can perform arbitrarily badly because of _temporal_ uncertainty. We then describe online algorithms, both randomized and deterministic, to handle time varying uncertainty in future reward structures and values. We establish that, in the deterministic case, discounting future rewards is a method to effectively de-randomize against possible futures, thus providing a theoretical justification for discounting in MPC. Time permitting we will also talk about recent work on multi-agent models for power systems and highlight important problems that require increased intelligence in the smart grid.
This talk will be accessible to a wide audience since we will give examples and intuition in lieu of detailed proofs. It may be of particular interest to those interested in AI, control theory, machine learning and smarter energy systems.
Biography: Balakrishnan Narayanaswamy received his PhD from the department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University in 2011, after which he joined the IBM Research Lab in Bangalore, India. His research interests lie at the intersection of AI, optimization, learning and inference particularly using them to understand, model and combat noise and uncertainty in real world applications.
His current research centers on the application of novel, theoretically well motivated optimization algorithms to resource allocation problems that arise in next generation smarter energy management systems. His thesis research at Carnegie Mellon was in the application of information and coding theory, detection, probability theory and inference algorithms to a variety of sensing systems such as sensor networks, mobile robots, biological screening and drug discovery. During his graduate studies he also worked on problems ranging from target tracking, iris recognition, speaker recognition, multi-source separation to codes for next generation memory systems.
A system partly based on some of his work scored near the top of the DARPA iris grand challenge. He is a proud recipient of the National Talent Search (NTSE) and the Jawaharlal Nehru (JNCASR) scholarships from the government of India during my undergraduate studies. He is currently on the TPC of the Energy in Communication, Information and Cyber-Physical Systems (E6) workshop at COMSNETS 2013.
Host: Professor Raghu Raghavendra
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Janice Thompson
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Adaptive Sensing and Estimation of Sparse Signals
Fri, Oct 26, 2012 @ 10:00 AM - 11:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Dennis Wei, University of Michigan
Talk Title: Adaptive Sensing and Estimation of Sparse Signals
Abstract: Adaptive sensing and inference have been gaining interest in recent years in signal processing and related fields. In this talk, I discuss the sequential adaptive estimation of sparse signals under a constraint on total sensing resources. The advantage of adaptivity in this context is the ability to focus more resources on regions of space where signal components exist, thereby improving the signal-to-noise ratio. A dynamic programming formulation is derived for the allocation of sensing effort to minimize the expected estimation loss. Based on the method of open-loop feedback control, allocation policies are then developed for a variety of loss functions. The policies are optimal in the two-stage case and improve monotonically thereafter with the number of stages. Numerical simulations show gains up to several dB as compared to recently proposed adaptive methods, and dramatic gains approaching the oracle limit compared to non-adaptive estimation. An application to radar imaging is also presented.
Biography: Dennis Wei received S.B. degrees in electrical engineering and in physics in 2006, the M.Eng. degree in electrical engineering in 2007, and the Ph.D. degree in electrical engineering in 2011, all from MIT. He is currently a post-doctoral researcher in the Department of Electrical Engineering and Computer Science at the University of Michigan. His research interests lie broadly in signal processing, optimization, and statistical inference and learning. Areas of focus include adaptive sensing and processing, applications of optimization, and the design of sparse discrete-time filters. Dr. Wei was a recipient of the William Asbjornsen Albert Memorial Fellowship at MIT and a Siebel Scholar.
Host: Urbashi Mitra, x0-4667, ubli@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Integrated Systems Seminar Series
Fri, Oct 26, 2012 @ 03:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Russ Reisner, Skyworks
Talk Title: RF Front End Architectures for Mobile Phone Platforms, Trends Today and in the Next Decade
Abstract: An overview will be given of the RF transmit components in between
the antenna and transceiver of Smart phones including discussions of where the market is driving technology, implementations and architecture trade-offs, the problem of power,
and RF device technology trends. Some of the newer technologies such as envelope tracking will be discussed as well.
Biography: Russ Reisner is an Engineering Manager and Technical Director at Skyworks who is responsible for developing high volume power amplifier modules and subsystems for Smart phone applications. The last PA family sold over 200 million units while supporting CDMA, WCDMA and LTE modulations. Russâ engineering team performs large signal PA analysis and 3D EM simulations in to support the various product development activities. Russ has over 25 years of experience in RF/Microwave circuit design and management in various RF industries including defense, Satcom, fiber optics, and wireless. Circuit expertise includes amplifiers, pre-distortion linearizers, filters, passives, and subsystems. He received his BSEE from Cal Poly Pomona and his MSEE from Cal State Northridge.
Host: Prof. Hossein Hashemi, Prof. Mahta Moghaddam, Prof. Mike Chen
More Info: http://mhi.usc.edu/activities/integrated-systems/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Hossein Hashemi
Event Link: http://mhi.usc.edu/activities/integrated-systems/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Situated Spoken Language Interaction: Challenges and Opportunities
Mon, Oct 29, 2012 @ 10:29 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dan Bohus, Microsoft Research
Talk Title: Situated Spoken Language Interaction: Challenges and Opportunities
Abstract: Previous research on spoken language interaction has mostly focused on dialog with single users in limited, predefined contexts. Efforts in this space have led to the development and wide-scale deployment of telephony-based and, more recently, multimodal mobile applications. At the same time, numerous and important challenges in the realm of physically situated, open-world interaction are still largely unaddressed.
In this talk, I will present an overview of the Situated Interaction project at Microsoft Research, which aims to address such challenges: the long term goal is to enable a new generation of interactive systems that reason more deeply about their surroundings and embed spoken interaction into the natural flow of everyday tasks, activities and collaborations.
I will outline a set of core competencies - engagement, turn taking, understanding and interaction planning - that are essential for supporting physically situated spoken language interactions. Developing computational models for supporting these processes in open, relatively unconstrained environments brings to the fore many challenges in representation, multimodal inference and decision making. I will illustrate and discuss some of these challenges by reviewing samples of research work we have conducted in these areas, addressing a diverse set of questions such as: how to represent and model engagement in multiparty open-world settings, how to learn to make inferences about speakers and addressees from raw streams of evidence, how to make fast-paced turn-taking decisions by taking into account uncertainty over the world and over the systemâs own computational delays. Throughout the talk, I will discuss and showcase several prototype systems that we have developed to date, and highlight several other on-going research efforts in physically situated spoken language interaction.
Biography: : Dan Bohus is a Researcher in the Adaptive Systems and Interaction Group at Microsoft Research. The central question that drives his long term research agenda is: how do we develop systems that naturally embed interaction and computation deeply into the flow of everyday tasks, activities, and collaborations? Specifically, in the last few years Danâs work has focused on developing computational models for multiparty engagement, turn taking, interaction planning, and on addressing the challenges in inference and decision making that such models bring to the fore. Prior to joining Microsoft, Dan obtained his Ph.D. degree from Carnegie Mellon University, where he investigated problems of dialog management and error handling in speech interfaces.
Host: Professor Shrikanth Narayanan
Location: Ronald Tutor Hall of Engineering (RTH) - 320
Audiences: Everyone Is Invited
Contact: Talyia Veal
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Medical Imaging Seminar Series
Tue, Oct 30, 2012 @ 01:45 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Simon Cherry, University of California, Davis
Abstract: Highly sophisticated hybrid imaging systems that integrate positron emission tomography (PET) and magnetic resonance imaging systems (MRI) have recently emerged with astonishing speed, building on many years of technical development and catalyzed by advances in photodetector technology as well as the success of hybrid imaging with PET/CT. This presentation will trace some of the early developments in PET/MRI instrumentation, as well show results from a selection of state-of-the-art systems and their initial preclinical applications. Approaches to PET/MRI based on photomultiplier tubes, avalanche photodiodes and silicon photomultipliers will be contrasted, and trade-offs in using each technology discussed. The recent emergence of clinical PET/MRI scanners, challenges with respect to quantification, and their potential applications will be reviewed. The remaining limitations of current generation clinical and preclinical PET/MRI systems will be identified and a view on the future needs and possible trends for instrumentation in PET/MRI presented.
Biography: Simon R. Cherry, Ph.D. received his B.Sc.(Hons) in Physics with Astronomy from University College London in 1986 and a Ph.D. in Medical Physics from the Institute of Cancer Research, University of London in 1989. After a postdoctoral fellowship with Dr. Edward Hoffman at UCLA, he joined the faculty in the Department of Molecular and Medical Pharmacology at UCLA in 1993. From 1998-2001 he was Associate Director of the UCLA Crump Institute for Molecular Imaging. In 2001, Dr. Cherry joined UC Davis as a Professor in the Department of Biomedical Engineering and Director of the Center for Molecular and Genomic Imaging. Dr. Cherry was Chair of the Department of Biomedical Engineering at UC Davis from 2007-2009.
Dr. Cherryâs research interests center around in vivo molecular imaging systems. A focus of his research is the development of very high-resolution positron emission tomography (PET) systems for preclinical imaging, in particular the development of the microPET scanner that was subsequently widely adopted in academia and industry. Additional interests include Cerenkov luminescence imaging and multi-modality imaging, especially the integration of PET MRI. Dr. Cherry is a founding member of the Society of Molecular Imaging and a fellow of the IEEE, BMES and AIMBE. He is Editor-in-Chief of the journal Physics in Medicine and Biology and serves on the Editorial Board of Molecular Imaging and Biology. In 2006, Dr. Cherry was invited to give the Henry Wagner Distinguished Lectureship at the Society of Nuclear Medicine annual meeting and in 2007, Dr. Cherry received the Academy of Molecular Imaging Distinguished Basic Scientist Award. In 2011 Dr. Cherry received the Imaging Achievement Award from the Society for Molecular Imaging. Dr. Cherry is the author of more than 170 peer-reviewed journal articles or book chapters in the field of biomedical imaging. He is also co-author of the textbook âPhysics in Nuclear Medicineâ.
Host: Prof. Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia Veal
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Building Lexical Cognitive Networks for Web Corpora with Application to Semantic Similarity Computation and Affective Text Analysis
Tue, Oct 30, 2012 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Alexandros Potamianos, Technical University of Crete, Greece
Talk Title: Building Lexical Cognitive Networks for Web Corpora with Application to Semantic Similarity Computation and Affective Text Analysis
Abstract: We investigate language-agnostic algorithms for the construction of unsupervised distributional semantic models using web-harvested corpora. A corpus is created from web document snippets and the relevant semantic similarity statistics are encoded in a semantic network. We propose the notion of semantic neighborhoods that are defined using co-occurrence or context similarity features. Three neighborhood-based similarity metrics are proposed, motivated by the hypotheses of attributional and maximum sense similarity. The lexical networks and semantic distances are motivated by cognitive considerations (associative networks and lexical priming). The proposed metrics are evaluated against human similarity ratings achieving state-of-the-art results. The proposed semantic similarity metrics are applied to affective modeling of text. Continuous valence ratings are estimated for unseen words using the underlying assumption that semantic similarity implies affective similarity. Starting from a set of manually annotated words, a linear affective model is trained using the least mean squares algorithm followed by feature selection. We then propose linear and non-linear fusion schemes for investigating how lexical valence scores can be combined to produce sentence-level scores, as well as, extend the lexical similarity model to groups of words (compounds). Evaluation on affective text tasks (e.g., polarity recognition) show significant performance improvement compared to the state of the art.
Biography: Alexandros Potamianos received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 1990. He received the M.S and Ph.D. degrees in Engineering Sciences from Harvard University, Cambridge, MA, USA in 1991 and 1995, respectively. He received the M.B.A. degree from Stern School of Business, NYU in 2002.From 1991 to June 1993 he was a research assistant at the Robotics Lab, Harvard University. From 1993 to 1995 he was a research assistant at the Digital Signal Processing Lab at Georgia Tech. From 1995 to 1999 he was a Senior Technical Staff Member at the Speech and Image Processing Lab, AT&T Shannon Labs, Florham Park, NJ. From 1999 to 2002 he was a Technical Staff Member and Technical Supervisor at the Multimedia Communications Lab at Bell Labs, Lucent Technologies, Murray Hill, NJ. From 1999 to 2001 he was an adjunct Assistant Professor at the Department of Electrical Engineering of Columbia University, New York, NY. In the spring of 2003, he joined the Department of Electronics and Computer Engineering at the Technical University of Crete, Chania, Greece as an associate professor. His current research interests include speech processing, analysis, synthesis and recognition, dialog and multi-modal systems, nonlinear signal processing, natural language understanding, artificial intelligence and multimodal child-computer interaction. Prof. Potamianos has authored or co-authored over ninety papers in professional journals and conferences. He is the co-author of the paper "Creating conversational interfaces for children" that received a 2005 IEEE Signal Processing Society Best Paper Award. He is the co-editor of the book "Multimodal Processing and Interaction: Audio, Video, Text", Springer, 2008.
Host: Prof. Shrikanth Narayanan
Location: Ronald Tutor Hall of Engineering (RTH) - 320
Audiences: Everyone Is Invited
Contact: Mary Francis
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Greedy Pursuits Algorithms for Audio Processing and Applications
Wed, Oct 31, 2012 @ 10:30 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Gaël Richard, Telecom ParisTech
Talk Title: Greedy Pursuits Algorithms for Audio Processing and Applications
Abstract: After a brief presentation of current research directions in the Audio, Acoustics and Waves research group of Telecom ParisTech, I will discuss in general terms the interest of greedy pursuits algorithms (such as Matching Pursuit) for representing audio signals. Such algorithms rely on an iterative atom selection step in a dictionary of atoms. They usually require the calculation of numerous projections, which can be computationally costly for large dictionaries. Furthermore, the obtained decomposition may be uninformative on the nature or content of the audio signal. To tackle the first issue, I will describe an extension of the classical Matching pursuit which uses a non adaptive random sequence of subdictionaries in the decomposition process, thus parsing a large dictionary in a probabilistic fashion with no additional projection cost and no parameter estimation [1]. It will be shown in particular that this additional randomness is particularly attractive for audio compression. I will then describe another extension of the classical Matching Pursuit algorithm which directly exploits the signal redundancy. Preliminary results for audio source separation will then be given [2]. Finally, a third variation of the classical Matching Pursuit algorithm will be described and its potential for Audio Fingerprint will be demonstrated on synthetic and real broadcast audio databases [3].
[1] M. Moussallam, L. Daudet, G. Richard, "Matching pursuits with random sequential subdictionaries", Signal Processing, 2012, http://dx.doi.org/10.1016/j.sigpro.2012.03.019
[2] S. Fenet, M. Moussallam, Y. Grenier, G. Richard and L. Daudet, A Framework for Fingerprint-Based Detection of Repeating Objects in Multimedia Streams,
[3] M. Moussallam, G. Richard and L. Daudet, Audio Source Separation Informed by Redundancy with Greedy Multiscale Decompositions, in Proc. of Eusipco 2012.
Biography: I received the State Engineering degree from Télécom ParisTech (formerly ENST), Paris, France, in 1990; the Ph.D degree from LIMSI-CNRS, University of Paris-XI, in 1994 in speech synthesis; and the Habilitation à Diriger des Recherches degree from the University of Paris XI in September 2001. After my Ph.D, I spent two years at the CAIP Center, Rutgers University, Piscataway, NJ, in the speech processing group of Prof. J. Flanagan, where I explored innovative approaches for speech production. Between 1997 and 2001, I successively worked for Matra Nortel Communications, Bois d'Arcy, France, and for Philips Consumer Comunications, Montrouge, France. In particular, I was the project manager of several large-scale European projects in the field of audio and multimodal signal processing. In September 2001, I joined the Signal and Image Processing Department at Télécom ParisTech, where I am now full Professor in audio signal processing and Head of the Audio, Acoustics and Waves research group. Co-author of over 100 papers and inventor in a number of patents, I am also one of the experts of the European commission in the field of audio signal processing and man/machine interfaces. I have been Associate Editor of the IEEE Transactions on Audio, Speech and Language Processing between 1997 and 2011 and one of the guest editors of the special issue on âMusic Signal Processingâ of IEEE Journal on Selected Topics in Signal Processing (2011). I am now member of the IEEE Audio and Acoustic Signal Processing Technical Committee, member of the EURASIP and AES and senior member of the IEEE.
Host: Professor Shrikanth Narayanan
Location: Ronald Tutor Hall of Engineering (RTH) - 320
Audiences: Everyone Is Invited
Contact: Mary Francis
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
