Select a calendar:
Filter August Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for August
-
Quantum Bayesian Route to Quantum State Space
Tue, Aug 06, 2013 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Rüediger Schack, Royal Holloway, University of London
Talk Title: Quantum Bayesian Route to Quantum State Space
Abstract: This talk explores the question of deriving the structure of quantum-state space from a set of assumptions in the spirit of quantum Bayesianism. The starting point is the representation of quantum states induced by a symmetric informationally complete measurement or SIC. In this representation, the Born rule takes the form of a particularly simple modification of the law of total probability. The talk shows how to derive key features of quantum-state space in this framework.
Biography: Ruediger Schack is a Professor of Mathematics at Royal Holloway, University of London. He obtained his PhD in Theoretical Physics at the University of Munich in 1991 and held postdoctoral positions at the Max Planck Institute for Quantum Optics, the University of Southern California and the University of New Mexico before joining Royal Holloway in 1995. His research interests are quantum information theory, quantum cryptography and quantum Bayesianism.
Host: Todd Brun, tbrun@usc.edu, EEB 502, x03503
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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. -
Communications with Limited and Delayed Feedback: Towards the Fundamental Performance-vs-Feedback Tradeoff
Wed, Aug 07, 2013 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jinyuan Chen, University of California, Irvine
Talk Title: Communications with Limited and Delayed Feedback: Towards the Fundamental Performance-vs-Feedback Tradeoff
Abstract: In many multiuser wireless communications scenarios, good feedback is a crucial ingredient that facilitates improved performance. While being useful, perfect feedback is also hard and time-consuming to obtain. With this challenge as a starting point, the work seeks to address the simple yet elusive and fundamental question of ``HOW MUCH QUALITY of feedback, AND WHEN, must one send to achieve a certain degrees-of-freedom (DoF) performance in specific settings of multiuser communications''. The work manages to concisely describe the DoF region in a very broad setting corresponding to a general feedback process that, at any point in time, may or may not provide channel state information at the transmitter (CSIT) - of some arbitrary quality - for any past, current or future channel (fading) realization. Under standard assumptions, and under the assumption of sufficiently good delayed CSIT, the work concisely captures the effect of the quality of CSIT offered at any time, about any channel. The generality allows for consideration of many channel models (block and non-block fading models), as well as incorporation of many previously considered settings. This was achieved for the two user MISO-BC, and was then immediately extended to the MIMO BC and MIMO IC settings.
Biography: Jinyuan Chen is currently a visiting scholar at University of California, Irvine. He received the PhD degree from EURECOM/Telecom Paris Tech in June 2013, the M.Sc. degree from Beijing University of Posts and Telecommunications in 2010, and the B.Sc. degree from Tianjin University in 2007. His industry experience includes doing internship at Ericsson, Beijing, in 2009. He was a recipient of Outstanding Graduate award and of Tsang Hin Chi scholarship. His research interests include network information theory, communication theory, interference management and limited feedback.
Host: Giuseppe Caire, caire@usc.edu, x04683, EEB 540
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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. -
From Pontryagin Maximum Principle to Time-Optimal Control of Quantum Gates
Mon, Aug 26, 2013 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Xiaoting Wang, U Mass Boston
Talk Title: From Pontryagin Maximum Principle to Time-Optimal Control of Quantum Gates
Abstract: Pontryagin maximum principle is the most fundamental tool to discuss time-optimal control problems. For quantum systems decoupled from the environment, the time-optimal solution for gate generation can be either a smooth trajectory or a bang-bang type of trajectory, depending on the physical assumption on the Hamiltonian. I will present a uniformed picture and show that both solutions can be derived from Pontryagin maximum principle. Moreover, for the smooth case, the time-optimal solutions coincide with the geodesics on the unitary space under some metric. These interpretations in principle will help us find more efficient time-optimal control algorithms than standard brute-force optimization routine.
Host: Todd Brun, tbrun@usc.edu, EEB 502, x03503
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539
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. -
New Frontiers in Electromagnet Design
Tue, Aug 27, 2013 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Chad Harris, University of Western Ontario
Talk Title: New Frontiers in Electromagnet Design
Series: Medical Imaging Seminar Series
Abstract: Is it possible to design a gradient coil over an arbitrary surface geometry with explicit control over its performance? Can an electromagnet adaptively alter its wire pattern to maintain optimal performance? Five years ago the answer to these questions was undoubtedly no; however, with the recent advances in the boundary element method for coil design, the situation is different.
In this talk, an introduction to this cutting-edge electromagnet design platform is given along with recent advances of the method including: control over the electromagnet’s wire spacing; simulation of induced eddy currents on thin conducting surfaces; fast and simple active shield design; and lastly, adaptive wire pattern manipulation.
Biography: Chad Harris received his Bachelors Ph.D. in physics from the University of Western Ontario in early August of 2013, specializing in magnetic resonance imaging (MRI) hardware development, with a specific focus on electromagnet design, in Dr. Blaine Chronik's research group.
An avid rugby player, Chad played for Western's varsity team during his undergraduate and graduate studies from 2005 - 2011. During this time period the team won seven Ontario University Athletics (OUA) medals, with Chad being awarded the Terry White men's rugby team award for leadership twice and receiving the OUA academic all-Canadian award each year.
Throughout his Ph.D. studies Chad has presented and published many original works for a total of 24 conference abstracts and 7 journal articles. One of his most recent publications "A new approach to shimming: The dynamically controlled adaptive current network" won the prestigious I.I. Rabi Young Investigator award for original basic research in magnetic resonance imaging given by the international society for magnetic resonance in medicine (ISMRM).
Host: Professor 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. -
Sensor Node Localization Based on Two-Way Time-of-Arrival Ranging with Imperfect Clocks
Wed, Aug 28, 2013 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Erik Strom, Chalmers University of Technology
Talk Title: Sensor Node Localization Based on Two-Way Time-of-Arrival Ranging with Imperfect Clocks
Abstract: In this talk, we will discuss the positioning of sensors nodes based on two-way time-of-arrival (TW-TOA) measurements when the nodes have imperfect clocks. More precisely, the problem is to localize a single target node using distance measurements to a number of nodes at a priori known positions (anchor nodes). The target node clock is assumed to follow an affine relationship with the anchor node clocks. That is, the target node clock will, in general, run too quick or too slow and will be offset compared with the anchor node clocks. The clock rate is sometimes called clock skew and is ideally equal to one, indicating that the clock runs at the same rate as the global reference time. The anchor nodes are assumed to have perfect clock skews, but unknown and different offsets. The TW-TOA measurement process will remove the clock offsets, but the clock skew difference will affect the distance measurements and, therefore, also the position estimate, if not properly accounted for. We model the target node clock skew as a nuisance parameter and show that the resulting maximum likelihood (ML) estimator is difficult to compute. To find more tractable estimators, we apply a nonlinear pre-processing step to convert the ML problem into a linear least squares problem under a quadratic constraint. The latter problem is shown to be a special case of the so-called generalized trust region problem, which we can solve exactly under mild conditions. We develop two suboptimal positioning methods and compare the performance and complexity with the ML estimator and the Cramer-Rao bound. The developed methods are numerically shown to offer good performance, but with less complexity (and accuracy) compared with the ML estimator.
This presented research is joint work with Mohammad Gholami, Chalmers University, and Sinan Gezici, Bilkent University.
Biography: Erik G. Strom (https://sites.google.com/site/erikgstrom/) received the M.S. degree from the Royal Institute of Technology (KTH), Stockholm, Sweden, in 1990, and the Ph.D. degree from the University of Florida, Gainesville, in 1994, both in electrical engineering. He accepted a postdoctoral position at the Department of Signals, Sensors, and Systems at KTH in 1995. In February 1996, he was appointed Assistant Professor at KTH, and in June 1996 he joined Chalmers University of Technology, Gothenburg, Sweden, where he is now a Professor in Communication Systems since June 2003. Dr. Strom currently heads the Division for Communications Systems, Information Theory, and Antennas at the Department of Signals and Systems at Chalmers and leads the competence area Sensors and Communications at the traffic safety center SAFER, which is hosted by Chalmers. His research interests include signal processing and communication theory in general, and constellation labelings, channel estimation, synchronization, multiple access, medium access, multiuser detection, wireless positioning, and vehicular communications in particular. Since 1990, he has acted as a consultant for the Educational Group for Individual Development, Stockholm, Sweden. He is a contributing author and associate editor for Roy. Admiralty Publishers FesGas-series, and was a co-guest editor for the Proceedings of the IEEE special issue on Vehicular Communications (2011) and the IEEE Journal on Selected Areas in Communications special issues on Signal Synchronization in Digital Transmission Systems (2001) and on Multiuser Detection for Advanced Communication Systems and Networks (2008). Dr. Strom was a member of the board of the IEEE VT/COM Swedish Chapter 2000--2006. He received the Chalmers Pedagogical Prize in 1998 and the Chalmers Ph.D. Supervisor of the Year award in 2009.
Host: Urbashi Mitra, ubli@usc.edu, EEB 536, x04667
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. -
Monte Carlo Non-Local Means: Random Sampling for Large-scale Denoising
Thu, Aug 29, 2013 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Stanley H. Chan, Ph.D., Harvard University
Talk Title: Monte Carlo Non-Local Means: Random Sampling for Large-scale Denoising
Abstract: Non-local means (NLM) is a well-known and influential image denoising algorithm. Since its publication in 2005, the NLM algorithm has been widely cited and compared against many more advanced algorithms in the denoising literature. However, NLM’s high computational complexity remains an open issue to the image processing community.
In this talk, I will present a scalable NLM algorithm, called the Monte-Carlo Non-local Means (MCNLM). Different from the classical NLM which computes the distances between every pair of pixel patches in the image, MCNLM computes only a subset of randomly selected pairs of patches. Two major analytical questions of MCNLM will be discussed. First, using the statistical large deviation theory, I will provide theoretical guarantees of MCNLM for any random sampling strategy. Second, I will discuss the optimal sampling pattern which maximizes the rate of convergence. MCNLM has marginal memory and programming costs compared to the original NLM algorithm, yet it is scalable to large-scale problems. In our experiment, apart from the denoising images using the noisy image itself, we also applied MCNLM to denoise image patches using external databases. On a database containing 10 billion patches, we demonstrate 3 orders of magnitudes in speed up.
(Joint work with Todd Zickler and Yue Lu)
Biography: Stanley H. Chan is a post-doctoral research fellow in the School of Engineering and Applied Science and the Department of Statistics of Harvard University. He received the B.Eng. degree in Electrical Engineering from the University of Hong Kong in 2007, the M.A. degree in Applied Mathematics from University of California, San Diego in 2009, and the Ph.D. degree in Electrical Engineering from University of California, San Diego in 2011. His current research interests are statistical signal processing and exchangeable random graph theory. Dr. Chan is a recipient of the Croucher Foundation Fellowship for Post-doctoral Research 2012-2013 and the Croucher Foundation Scholarship for Full-time Overseas PhD Studies 2008-2010, one of the most prestigious scholarships for outstanding Hong Kong students studying overseas.
Host: Hosted by Prof. C.-C. Jay Kuo
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 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.
