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Conferences, Lectures, & Seminars
Events for May
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Evaluation of Human Brain MRI Registration Algorithms
Fri, May 01, 2009 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Arno Klein,
Assistant Professor of Clinical Neurobiology,
Columbia UniversityAbstract: All fields of neuroscience that employ brain imaging need to communicate their results with reference to anatomical regions. Inparticular, comparative morphometry and group analysis of functionaland physiological data require coregistration of brains to establishcorrespondences across brain structures. It is well established thatlinear registration of one brain to another is inadequate for aligning brain structures,so numerous algorithms have emerged to nonlinearly register brains to one another. This study is the largest evaluation of nonlinear deformation algorithms applied to brain image registration ever conducted. Fourteen algorithms from laboratories around the world are evaluated using 8 different error measures. Morethan 45,000 registrations between 80 manually labeled brains were performed by algorithms including: AIR, ANIMAL, ART, Diffeomorphic Demons, FNIRT, IRTK, JRD-fluid, ROMEO, SICLE, SyN, and four different SPM5 algorithms ("SPM2-type" and regular Normalization, Unified Segmentation, and the DARTEL Toolbox). All of these registrations were preceded by linear registration between the same image pairs using FLIRT. One of the most significant findings of this study is that the relative performances of the registration methods under comparison appear to be little affected by the choice of subject population, labeling protocol, and type of overlap measure. This is important because it suggests that the findings are generalizable to new subject populations that are labeled or evaluated using different labeling protocols. Furthermore, we ranked the 14 methods according to three completely independent analyses (permutation tests, one-way ANOVA tests, and indifference-zone ranking) and derived three almost identical top rankings of the methods. ART, SyN, IRTK, and SPM's DARTEL Toolbox gave the best results according to overlap and distance measures, with ART and SyN delivering the most consistently high accuracy across subjects and label sets. Updates will be published on the http://www.mindboggle.info/papers/ website.Hosted by Professor Richard Leahy
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. -
Seminar: Robust Heterogeneous Systems in Emerging Technologies: A TFT-CMOS 3D System for Testable/Re
Wed, May 06, 2009 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Jing Li
PhD Candidate, Purdue UniversityAbstract:
Moore's law has provided a metronome for semiconductor technology over the past four decades. However, when CMOS feature size and interconnect dimensions approach the fundamental limit, aggressive scaling no longer plays an exclusive role in improving performance. An emphasis on emerging technologies and computational paradigms has been placed. To meet the fast growing demand for system functionality, heterogeneous system that utilizes and optimizes the best of different technologies is becoming one of the most promising solutions for future complex system design. In heterogeneous system, Si CMOS will continue to play a major role for high performance computation while the other technologies can add special functions that are either difficult, expensive, or even not achievable with standard silicon CMOS. However, designing such ultra-complex systems with various technologies also poses a set of new challenges (in terms of design, test, fabrication and integration). Those challenges will ultimately lead to a paradigm shift from traditional system design (assembling separate functional blocks) to a completely new paradigm (designing them in a holistic way). In the new paradigm, device engineering and system design should not be considered separately. On the contrary, an optimal system design should consider the strong interaction between technology/device and circuit/system. To demonstrate the feasibility of the proposed system design concept, in this talk, I will focus on one interesting technology - flexible electronics (Thin Film Transistors). This technology has been widely used in LCD applications due to its low cost and manufacturability on flexible substrates (polymer, flexible glass, etc.). However, further application of TFT is limited by its performance, reliability, and inherent material induced process variations (i.e., grain boundary). To cope with these challenges, both modeling and design techniques have been developed. In particular, I will discuss device optimization, statistical simulation methodology for estimation of process variations, followed by an efficient circuit-level variability compensation technique. Optimized LTPS TFTs with higher current drivability and less variability would make them as an effective add-on (as auxiliary functions) to Si CMOS, opening up a plethora of new and interesting applications. At architecture level, I will focus on one such application â€" low-cost and robust Si-TFT heterogeneous system design with on-line/off-line built-in-test circuits, implemented in LTPS-TFTs, to test the underlying silicon CMOS die. Such a system significantly reduces the test cost and improves the controllability and observability of the underlying Si CMOS die for ensuring highly reliable and testable operations. Bio:
Jing (Vicky) Li is a PH.D. candidate from the Electrical and Computer Engineering department at Purdue University, West Lafayette, IN. She received the B.S. degree from Electrical Engineering at Shanghai Jiao Tong University, Shanghai, China, in 2004. In 2008 summer, she worked as a research intern at IBM Semiconductor Research and Development Center (SRDC), Fishkill, NY. She has received the IBM PH.D. fellowship award in 2008, the Dean's and Semester Honors for outstanding scholastics performance (Graduate School Fellowship) from Purdue University in 2007, the Meissner Fellowship from Purdue University in 2004 and Geare scholarship from Purdue and Shanghai Jiao Tong University in her undergraduate senior year (2003). She was also the recipient of the 2005~2006 Magoon's award for excellence in teaching from Purdue University. Her primary research focus encompasses the development of innovative techniques for green heterogeneous systems using emerging technologies (flexible electronics, spintronics, etc.) integrated with Si CMOS. This research has a strong emphasis on interdisciplinary field between device physics, material science and VLSI circuit/system design, bridging the technical gap between fundamental devices physics and high-level system design/optimization.Location: Hughes Aircraft Electrical Engineering Center (EEB) - -248
Audiences: Everyone Is Invited
Contact: Estela Lopez
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. -
Image Reconstruction and Aberration Sensing by Phase Retrieval
Wed, May 06, 2009 @ 03:30 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
James R. Fienup, Ph.D.,
Robert E. Hopkins Professor of Optics,
Professor of Electrical and Computer Engineering
University of RochesterAbstract: Phase retrieval has been under development for image reconstruction and wavefront sensing. Application areas include astronomy, space-object imaging with both active-coherent and passive-incoherent illumination, wave-front and telescope-misalignment sensing (e.g. Hubble and James Webb space telescopes), and 3-D coherent imaging. This talk will review some of the highlights of phase retrieval development and some recent advances in phase retrieval approaches and algorithms that have occurred in the last few years.Biography: James R. Fienup received an A.B. in physics and mathematics from Holy Cross College (Worcester, MA), and M.S. and Ph.D. (1975) degrees in Applied Physics from Stanford University, where he was a National Science Foundation Graduate Fellow. He performed research for 27 years at the Environmental Research Institute of Michigan and Veridian Systems, where he was a Senior Scientist. He joined the faculty at the University of Rochester in 2002 as the Robert E. Hopkins Professor of Optics. He also holds positions as Professor, Center for Visual Science, Professor of Electrical and Computer Engineering, and Senior Scientist, Laboratory for Laser Energetics. Professor Fienup is a Fellow of the Optical Society of America (OSA) and of the International Society for Optical Engineering (SPIE), and is a Senior Member of IEEE. He was awarded the Rudolf Kingslake Medal and Prize for 1979 by the SPIE and the International Prize in Optics for 1983 by the International Commission for Optics. He was Editor-in-Chief of the Journal of the Optical Society of America A, 1997-2003. He previously served as Division Editor of Applied Optics - Information Processing, Associate Editor of Optics Letters, and Chair of the OSA Publications Council of the OSA.Professor Fienup's research interests center around imaging science. His work includes unconventional imaging, phase retrieval, wavefront sensing, and image reconstruction and restoration. These techniques are applied to passive and active optical imaging systems, synthetic-aperture radar, and biomedical imaging modalities. His past work has also included diffractive optics and image quality assessment. He has over 180 publications and 4 patents.Host: B. Keith Jenkins, jenkins@sipi.usc.eduLocation: 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. -
On Optimal Fix-free Codes
Tue, May 19, 2009 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Serap Savari,
Texas A&M UniversityAbstract: Fix-free codes are variable length codes in which no codeword is the prefix or suffix of another codeword. They have been investigated for joint source-channel coding and have been applied within the video standards H.263+ and MPEG-4 because their property of efficient decoding in both the forward and backward directions assists with error resilience. They are also interesting for problems in information retrieval such as searching for patterns directly in compressed text. We provide a low-complexity heuristic to produce fix-free codes. The design of optimal or minimum-redundancy fix-free codes has been a longstanding open problem. We offer the first solution both to this problem and to a variation in which all codewords are also required to be palindromes.Biography: Serap Savari is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University. She received four degrees from MIT. Professor Savari was a Member of Technical Staff in the Computing Sciences Research Center at Bell Labs from 1996-2003 and was an Associate Professor at the University of Michigan from 2004-2007. Her research interests include information theory and data compression. She was an Associate Editor for Source Coding for the IEEE Transactions on Information Theory from 2002-2005. She was the Bell Labs representative to the DIMACS council from 2001-2003 and has been a member of the program committees for many conferences and workshops.Host: Gerhard Kramer, gkramer@usc.edu, EEB 536, x07229Location: 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. -
Variable-to-Fixed Channel Coding Against Infrastructure Link Failures
Wed, May 20, 2009 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Osvaldo Simeone,
New Jersey Institute of TechnologyAbstract: Two models are discussed that illustrate the advantages of variable-to-fixed channel coding (i.e., the broadcast coding approach) for scenarios in which wireless communications is aided by an unreliable wired infrastructure. In the first scenario, a single macrocell, serving a number of outdoor users, is overlaid with a femtocell, which includes several home users. The femtocell is served by a home base station, which is connected to the macrocell base station via an unreliable connection (e.g., DSL). In the second scenario, a source communicates with a remote destination via a number of distributed relays. Communication from source to relays takes place over a (discrete or Gaussian) broadcast channel, while the relays are connected to the receiver via orthogonal and unreliable finite-capacity links.In both scenarios, link failures are assumed to be non-ergodic and unpredictable, and robust communications strategies are designed that deliver a variable information rate depending on the current (unknown) link conditions. Upper and lower bounds are derived on the achievable rates of interest, and some optimality conditions are obtained.Biography: Osvaldo Simeone received the M.Sc. degree (with honors) and the Ph.D. degree in Information Engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005 respectively. He is currently with the Center for Wireless Communications and Signal Processing Research (CWCSPR), at the New Jersey Institute of Technology (NJIT), Newark, New Jersey, where he is an Assistant Professor. His current research interests concern the cross-layer analysis and design of wireless networks with emphasis on information-theoretic, signal processing and queuing aspects. Specific topics of interest are: cognitive radio, cooperative communications, ad hoc, sensor, mesh and hybrid networks, distributed estimation and synchronization. Dr. Simeone currently serves as an Editor for IEEE Trans. Wireless Commun.Host: Urbashi Mitra, ubli@usc.edu, EEB 540, x04667Location: 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. -
Throughput Performance in Cognitive Radio Networks
Thu, May 28, 2009 @ 11:30 AM - 12:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Abstract:
Cognitive radio is a promising technology to mitigate spectrum shortage in wireless communications. It enables secondary users (SUs) to opportunistically access low-occupancy primary spectral bands as long as the primary user (PU) access is protected. PU protection is vital to the success of cognitive radio system because no PU would be inclined to accommodate secondary cognitive networks without such assurance. Such a protection requirement is particularly challenging for multiple SUs over a potentially wide geographical area. In this talk, I will present our results on the fundamental limit on the throughput performance of cognitive networks under the PU packet collision probability constraint. We consider two cases. In the case of perfect sensing, we develop an optimum spectrum access strategy under generic PU traffic. Moreover, we develop and evaluate a distributed access scheme that enables multiple SUs to collectively protect the PU while adapting to changes in the PU activity pattern.
In the case of imperfect sensing, we develop an optimal threshold-based sensing-transmission structure that goes beyond the widely studied periodic structure. Our results provide useful insight on the trade-off between the protection of the primary user and the throughput performance of the secondary users. Last, if time permits, I will briefly discuss our current progress on feedback-based access and power control for distributed multiuser cognitive networks.Bio:
Xin Liu is an associate professor in the Computer Science Department at the University of California, Davis. Before joining UC Davis, she was a postdoctoral research associate in the Coordinated Science Laboratory at UIUC. She received her Ph.D. degree in electrical engineering from Purdue University in 2002. Her research is on wireless communication networks, with a focus on resource allocation and cognitive radio networks. She received the Best Paper of Year Award of the Computer Networks Journal in 2003 for her work on opportunistic scheduling. She received NSF CAREER award in 2005 for her research on "Smart-Radio-Technology-Enabled Opportunistic Spectrum Utilization." She received the Outstanding Engineering Junior Faculty Award from the College of Engineering, University of California, Davis, in 2005.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Bhaskar Krishnamachari
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.
