SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for April
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Energy Efficient Memory Circuits: From IoT to Exascale Systems and Beyond
Mon, Apr 04, 2016 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jaydeep Kulkarni, Staff Research Scientist, Circuit Research Scientist, Circuit Research Lab, Intel Corporation
Talk Title: Energy Efficient Memory Circuits: From IoT to Exascale Systems and Beyond
Abstract: With the rapid advances in computing systems spanning from billions of IoTs (Internet of Things) to high performance exascale super computers, energy efficient design is an absolute must. It is projected that by 2020, around 50 billion internet connected devices will be deployed generating hundreds of zettabytes (1021 bytes) of data. It is estimated that embedded memories can occupy up to 70% of the die area in these devices. These trends clearly indicate the paramount importance of developing energy efficient, dense memory circuits and systems across the entire compute continuum. I will present two energy efficient memory solutions one geared for IoT systems while the other targeted at high performance exascale systems. With extremely low energy budget, IoT systems would need ultralow voltage circuits for always-ON sensing and computing. Low voltage Static Random Access Memory (SRAM) operation is challenging due to conflicting read-stability vs write-ability requirements. I will present two Schmitt Trigger based SRAMs having built-in process variation tolerance for extreme low voltage operation. Measurement results from 130nm test-chips confirm successful operation up to 150mV [JSSC'07, TVLSI'12]. At the other end of compute spectrum consisting of high performance exascale systems, fixed voltage/ frequency guardbands are applied to the nominal operating specifications to guarantee reliable operation in the presence of temperature variations, voltage supply droops, and transistor aging induced degradation. Since most of the systems operate at nominal conditions, the necessary guardbands for these infrequent dynamic variations significantly limit the system energy efficiency. I will present adaptive and resilient domino register file design techniques to realize a unified framework for logic + memory operating on same voltage/frequency domain. Measurement results from a 22nm test-chip demonstrate 21% higher throughput with 67% improved energy efficiency [ISSCC'15, JSSC'16]. I will conclude the seminar by highlighting the interesting areas in memory research for the development of next generation of energy efficient computing systems. These aspects include emerging non-volatile technologies such as STT, and RRAM memories, memory scaling using monolithic 3D integration, logic-in-memory organization / architectures for non von Neumann computing models such as neuromorphic computing, and security/privacy issues in next zettabytes of data.
Biography: Jaydeep P. Kulkarni received the Bachelor of Engineering (B.E.) degree from the University of Pune, India in 2002, the Master of Technology (M. Tech.) degree from the Indian Institute of Science (IISc) Bangalore, India in 2004 and Ph.D. degree from Purdue University, West Lafayette, IN, in 2009 all in electrical engineering. During 2004-05, he worked as a Design Engineer at Cypress Semiconductors, Bangalore and designed I/O circuits for micro-power SRAMs. He joined Circuit Research Lab (CRL) at Intel Corporation, Hillsboro, OR in 2009, where he is currently working as a staff research scientist. His research is focused on energy efficient integrated circuits and systems. He has filed 27 patents and published 52 papers in referred journals and conferences (1500 citations).
Dr. Kulkarni received 2004 Best M. Tech Student Award from IISc Bangalore, 2008 SRC Inventor Recognition Awards, 2008 ISLPED Design Contest Award, 2008 Intel Foundation Ph.D. Fellowship Award, 2008 SRC TECHCON best paper in session award, 2010 Purdue School of ECE Outstanding Doctoral Dissertation Award, 2012 Intel patent recognition award, six Intel Divisional Recognition Awards for successful technology transfers, 2015 IEEE Circuits and Systems Society's Transactions on VLSI systems best paper award, and 2015 Semiconductor Research Corporation's (SRC) outstanding industrial liaison award. He has participated in technical program committees of A-SSCC, ISLPED, ISCAS, and ASQED conferences. He serves as an associate editor for IEEE Transactions on VLSI Systems, and as an industrial liaison at the SRC, NSF Visual Cortex on Silicon program, Stanford System-X alliance, Stanford-NMTRI and SONIC STARnet research program. He is a senior member of IEEE.
Host: Professor Peter Beerel
Location: 248
Audiences: Everyone Is Invited
Contact: Suzanne Wong
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. -
Markovian Evolution of a Quantum Ensemble and its Long-Term Behavior
Mon, Apr 04, 2016 @ 01:00 PM - 02:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Min-Hsiu Hsieh, University of Technology, Sydney
Talk Title: Markovian Evolution of a Quantum Ensemble and its Long-Term Behavior
Abstract: We extend the theory of quantum Markov processes on a single quantum state to a broader theory that covers Markovian evolution of an ensemble of quantum states. This generalizes Lindblad's formulation of quantum dynamical semigroups. Our formalism includes an explicit form of semigroups, their time derivative-” the infinitesimal generator, a carr'e du champ operator, and matrix *phi-entropy. We find a matrix *phi-Sobolev inequality that governs the exponential decay of the these matrix *phi-entropy. Special cases of the matrix *phi-entropy evaluate to the Holevo quantity and the variance of the ensemble, which allows us to relate our formalism to classical coding over quantum channels. In particular, we show that the convergence rates of two special semigroups-the depolarizing and phase-damping channels-can be explicitly computed. They result in fundamentally different equilibrium situations, for which there is no classical analogy.
Biography: Min-Hsiu Hsieh received his PhD degree in electrical engineering from the University of Southern California, Los Angeles, in 2008. From 2008-2010, he was a Researcher at the ERATO-SORST Quantum Computation and Information Project, Japan Science and Technology Agency, Tokyo, Japan. From 2010-2012, he was a Postdoctoral Researcher at the Statistical Laboratory, the Centre for Mathematical Sciences, the University of Cambridge, UK. He is now an Future Fellow and Associate Professor at the Centre for Quantum Computation & Intelligent Systems (QCIS), Faculty of Engineering and Information Technology (FEIT), University of Technology, Sydney (UTS). His scientific interests include quantum Shannon theory, entanglement theory, and quantum coding theory.
Host: Todd Brun, x03503, tbrun@usc.edu
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. -
EE 598 Cyber-Physical Systems Seminar Series
Mon, Apr 04, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Edward A. Lee, Professor, University of California Berkeley
Talk Title: Resurrecting Laplace's Demon: The Case for Deterministic Models for Cyber-Physical Systems
Abstract: In 1814, Pierre-Simon Laplace published an argument for determinism in the universe, arguing that if someone (a demon) were to know the precise location and momentum of every atom in the universe, then their past and future values for any given time are completely determined and can be calculated from the laws of classical mechanics. This principle, of course, has been roundly invalidated by quantum mechanics, and yet the laws of classical mechanics continue to be extremely useful for prediction. In this talk, I will argue that models plays different (complementary) roles in engineering and science, and that deterministic models have historically proved proved even more valuable in engineering than in science.
Cyber-physical systems, which combine computation with physical dynamics, may seem on the surface to be a particularly poor match for deterministic models. I will argue that the next big advance in engineering methods must include deterministic models for CPS, and I will show that such models are both possible and practical.
Biography: Edward A. Lee is the Robert S. Pepper Distinguished Professor in the Electrical Engineering and Computer Sciences (EECS) department at U.C. Berkeley. His research interests center on design, modeling, and analysis of embedded, real-time computational systems. He is the director of the nine-university TerraSwarm Research Center (http://terraswarm.org), a director of Chess, the Berkeley Center for Hybrid and Embedded Software Systems, and the director of the Berkeley Ptolemy project. From 2005-2008, he served as chair of the EE Division and then chair of the EECS Department at UC Berkeley. He is co-author of nine books (counting second and third editions) and numerous papers. He has led the development of several influential open-source software packages, notably Ptolemy and its various spinoffs. He received the B.S. degree in Computer Science from Yale University, New Haven, CT, in 1979, the S.M. degree in EECS from the Massachusetts Institute of Technology (MIT), Cambridge, in 1981, and the Ph.D. degree in EECS from the University of California Berkeley, Berkeley, in 1986. From 1979 to 1982 he was a member of technical staff at Bell Telephone Laboratories in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. He is a co-founder of BDTI, Inc., where he is currently a Senior Technical Advisor, and has consulted for a number of other companies. He is a Fellow of the IEEE, was an NSF Presidential Young Investigator, and won the 1997 Frederick Emmons Terman Award for Engineering Education.
Professor Lee's research group studies cyber-physical systems, which integrate physical dynamics with software and networks. Specifically, his group has made major contributions in models of computation with time and concurrency, model-based design and analysis, domain-specific languages, architectures for real-time computing, schedulability analysis, and modeling and programming of distributed real-time systems. His group has been involved with parallel and distributed computing, including models of computation with distributed real-time behaviors, partitioning and scheduling algorithms, backtracking techniques for fault tolerance and recovery, dataflow models of computation, and modeling of sensor networks. His group has made key contributions in semantics of timed and concurrent systems, including domain polymorphism, behavioral type systems, metamodeling of semantics, and comparative models of computation. His group has also worked on blending computing with continuous dynamics and hybrid systems. Prof. Lee himself has an extensive background in signal processing and physical-layer communication systems, and has co-authored five books on these subjects, in addition to four books on embedded systems technologies.
Host: Paul Bogdan
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. -
Smart Data Pricing
Tue, Apr 05, 2016 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Carlee Joe-Wong, Princeton University
Talk Title: Smart Data Pricing
Abstract: Data traffic has increased sharply over the past decade and is expected to grow further as Internet applications from video streaming to cloud storage become ever more popular. Yet data network capacity is not expanding fast enough to handle this exponential growth, leading service providers to change their mobile data plans in an effort to reduce congestion. Inspired by these ongoing changes and building on work from the 1990s, smart data pricing (SDP) aims to rethink data pricing for tomorrow's networks. In this talk, I will focus on the temporal and content dimensions of SDP and then briefly discuss the problem of fairly allocating network resources to applications with diverse resource needs. Time-dependent pricing (TDP) proposes to lower short-lived peaks in network congestion by incentivizing users to shift their data usage to less congested times. While TDP has been used in industries such as smart grids, TDP for mobile data presents unique challenges, e.g., it is difficult to predict how users will react to the prices on different days. Thus, we developed algorithms that continually infer users' changing responses to the offered prices, without collecting private data usage information. We implemented these algorithms in a prototype system, which we used to conduct the first field trial of TDP for mobile data. We showed that our TDP algorithms led to significantly less temporal fluctuation in demand, benefiting the service provider and lowering users' data prices overall.
Sponsored data, an emerging form of data pricing offered by AT&T, allows content providers to subsidize their users' data traffic; the resulting revenue can be used to expand existing data networks. We consider the impact of sponsored data on different content providers and users, showing that cost-aware users and cost-unaware content providers reap disproportionate benefits. Simulations across representative users and content providers verify that sponsored data may help to bridge the digital divide between different types of users, yet can exacerbate competition between content providers.
Biography: Carlee Joe-Wong is a Ph.D. candidate and Jacobus fellow at Princeton University's Program in Applied and Computational Mathematics. She is interested in mathematical aspects of computer and information networks, including work on smart data pricing and fair resource allocation. Carlee received her A.B. in mathematics in 2011 and her M.A. in applied mathematics in 2013 both from Princeton University. In 2013-“2014, she was the Director of Advanced Research at DataMi, a startup she co-founded from her data pricing research. Carlee received the INFORMS ISS Design Science Award in 2014 and the Best Paper Award at IEEE INFOCOM 2012. She was a National Defense Science and Engineering Graduate Fellow (NDSEG) from 2011 to 2013.
Host: Professor Konstantinos Psounis
Location: 248
Audiences: Everyone Is Invited
Contact: Suzanne Wong
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, Networks & Systems (CommNetS) Seminar
Wed, Apr 06, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Samet Oymak, Caltech
Talk Title: Sharp tradeoffs for randomized numerical algorithms: Let the theory meet practice
Series: CommNetS
Abstract: Randomized numerical algorithms are fundamental for a variety of problems in signal processing and machine learning. Examples include sparse signal processing and dimensionality reduction for faster machine learning. These algorithms come with various tradeoffs involving the amount of data, computational resources and statistical precision. Characterization of these tradeoffs is crucial for correct hyperparameter selection, time sensitive optimization and eventual performance of the algorithms. In this talk, we describe our recent results on how to accurately predict these tradeoffs in multiple scenarios which helps us further close the gap between theory and practice.
Biography: Samet Oymak is a software engineer at Google. Prior to that, he was a fellow at Simons Institute and a postdoctoral scholar in the AMPLab at UC Berkeley. He received his BS from Bilkent University in 2009 and his MS and PhD from Caltech in 2014, all in electrical engineering. At Caltech, he was advised by Babak Hassibi and won the departmental best thesis award.
Host: Prof. Mahdi Soltanolkotabi
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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. -
Meaning and Memory Retrieval: Evidence from Semantic Priming and Sentence Memory
Mon, Apr 11, 2016 @ 10:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Peter Gordon, University of Northern Carolina, Chapel Hill
Talk Title: Meaning and Memory Retrieval: Evidence from Semantic Priming and Sentence Memory
Abstract: Semantic priming, where the processing of a word is facilitated when it is preceded by a related word, has generally been taken as evidence of spreading activation, the idea that accessing the meaning of the prime word facilitates recognition of the target word by pre-activating its meaning before it is presented. The idea that pre-activation of meaning by a prime word (or other stimulus) increases the accessibility of words (or other psychological constructs) has spread from cognitive psychology to many other areas including cognitive neuroscience, social influence, psychopathology and the effects of aging. This idea is challenged by a series of studies in my lab that analyzed response-time distributions from newly-developed ocular-response tasks that are performed more quickly than tasks with manual or vocal responses and for that reason give a more direct view of lexical processing; the results show that the semantic relation between the prime and target influences processing only after the target has been seen. The findings are inconsistent with spreading-activation models and instead support alternative models in which the process of retrieving lexical information from the target word is facilitated by the consistent contextual information provided by the prime word. Additional studies on how meaning influences sentence reading and recall demonstrate that explanations based on memory retrieval play a necessary role in explanations of human language processing and that they eliminate the need for expectation-based explanations.
Biography: Dr. Peter C. Gordon received his B.S. in Psychology from Georgetown University in 1975 and his Ph.D. in Experimental Psychology from the University of Michigan in 1984. He was Assistant and Associate Professor in the Psychology Department at Harvard University from 1984 through 1993, and subsequently joined the faculty at the University of North Carolina at Chapel Hill where he is Professor of Psychology and Faculty Fellow at the Frank Porter Graham Child Development Center. He is a Fellow of the Association for Psychological Science and a superannuated member of the Psychological Round Table. He has served as a reviewer for multiple NSF programs (Cognition & Perception, Information & Intelligent Systems and Linguistics) and as a member of the Language and Communication panel at NIH. He served a four-year term as Associate Editor at Psychological Science, has been on the editorial boards of major journals (Cognitive Psychology, JEP:LMC) and is a Consulting Editor at Psychological Review. His awards include appointment as John and Ruth Hazel Associate Professor at Harvard University, a W.N. Reynolds Leave from the University of North Carolina and a James McKeen Cattell Fund Sabbatical Award that is supporting his visit to USC this semester.
Dr. Gordon's program of research focuses on uncovering the psychological basis of language comprehension and production, with a particular focus on the nature of discourse coherence and on the interaction of discourse-level processing and lower-level processes such as word recognition. His research on the processing of written and spoken language has been highly interdisciplinary, including long-term collaborations with researchers trained in computer science, linguistics and neuroscience, as well as researchers with clinical specializations. His recent research has involved coordinated use of behavioral and neural methods for studying how language processing is coordinated with perception, attention, memory and motor control, and has additionally involved development of eye-tracking and computational-linguistic methods for studying cognitive and interpersonal processes in normal and impaired populations.
Host: Shrikanth Narayanan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Tanya Acevedo-Lam/EE-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. -
Security and Privacy of Non-Volatile Memories- Vunerabilities, Attack Models and Preventions
Mon, Apr 11, 2016 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Swaroop Ghosh, Professor, University of South Florida
Talk Title: Security and Privacy of Non-Volatile Memories- Vulnerabilities, Attack Models and Preventions
Abstract: Non-volatile memories (NVM) such as Spin-Transfer Torque RAM (STTRAM), Resistive RAM and Domain Wall Memory have drawn significant attention due to complete elimination of bitcell leakage. In addition to plethora of benefits such as density, non-volatility, low-power and high-speed, majority of NVMs are also compatible with CMOS technology enabling easy integration. NVMs are particularly interesting for a class of Internet-of-Things (IoT) that are normally OFF but require instant ON experience. Although promising, I will show that NVMs bring new security and privacy challenges that were absent in their conventional volatile memory counterparts. Assuring data integrity and privacy against malicious attacks is particularly critical on deployed systems that are hard to maintain and enforce physical security. I will present two aspects to NVM security in Last Level Cache (LLC) using STTRAM as test case:
(i) Data integrity which pertains to data corruption by malicious attack with the intention to launch denial-of-service. Such attacks exploit the fact that NVMs are fundamentally susceptible to ambient parameters such as magnetic field and temperature. I will describe these vulnerabilities and attack models, and, propose two micro-architectural techniques to assure data integrity under attack namely, cache bypassing and checkpointing. These techniques allow seamless computation in presence of attack at minimal design overhead.
(ii) Data privacy which pertains to sensitive data such as keys and passwords being compromised. Storage such as Hard Disk Drive (HDD) has been the non-volatile part of memory system traditionally protected by encryption. Although effective, the latency associated with encryption makes it non-trivial for application in higher levels of memory stack such as LLC. I will present the vulnerabilities and attack models, and, propose two low-overhead techniques to maintain data privacy namely, Semi Non-Volatile Memory which is similar to NVM but with very low retention time so that the data vanishes after power is turned OFF, and, irreversible erasure of data at power down using residual charge from power rail.
Biography: Swaroop Ghosh (S'04, SM'13) received his B.E. (Hons.) from IIT, Roorkee (2000), M.S. from University of Cincinnati (2004) and Ph.D. from Purdue University (2008). He joined USF in Fall 2012. Dr. Ghosh was senior research and development engineer in Advanced Design, Intel Corp from 2008 to 2012 where pioneered 32nm and 22nm SRAM and eDRAM designs. His research interests lie at the intersection of circuits, micro-architecture and hardware security. He is a senior member of IEEE.
Dr. Ghosh is serving as Associate Editor of IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I and Senior Editorial Board member of IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS. He has served in the technical program committees of DAC, DATE, ICCAD, ISLPED, HOST, Nanoarch, VLSI Design, ISQED, ASQED, and VLSI-SOC. He is a recipient of DARPA Young Faculty Award (2015), ACM SIGDA Outstanding New Faculty Award (2016), USF Outstanding Research Achievement Award (2015) and USF College of Engineering Outstanding Research Achievement Award (2015).
Host: Professor Murali Annavaram
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Suzanne Wong
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. -
EE 598 Cyber-Physical Systems Seminar Series
Mon, Apr 11, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sudhakar Yalamanchili, Professor, Georgia Institute of Technology
Talk Title: New Rules: Sustaining Performance Scaling in a Physical World
Abstract: As industry moves to increasingly small feature sizes, performance scaling will become increasingly dominated by the physics of the computing environment. Sustaining performance scaling will require understanding, characterizing, and collaboratively managing the multi-physics and multi-scale (nanoseconds to milliseconds) transient interactions between the delivery, dissipation, and removal (cooling) of power and their impact on system level performance. There are fundamental trade-offs to be made in processor design at the microarchitectural level between performance, energy/power, reliability, and packaging. In particular, these tradeoffs become increasingly pronounced with heterogeneity and diversity of application workloads. This talk will describe how interacting physical phenomena, e.g., thermal coupling, i) limits performance scaling, ii) drives application-driven microarchitecture-level tradeoffs, and iii) leads to operational principles for energy-efficient heterogeneous many core architectures. In particular, the talk will cover some exemplar implementations on modern integrated CPU-GPU architectures.
Biography: Sudhakar Yalamanchili earned his Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. Upon graduation, he joined Honeywell's Systems and Research Center in Minneapolis working on embedded multiprocessor architectures. He joined the ECE faculty at Georgia Tech in 1989 where he is now a Regents Professor and Joseph M. Pettit Professor of Computer Engineering. He is the author of two texts on VHDL-based simulation modeling and synthesis, and co-author with J. Duato and L. Ni, of Interconnection Networks: An Engineering Approach, Morgan Kaufman, 2003. His current research foci lie in addressing the software challenges of heterogeneous architectures and solutions to power and thermal issues in many core architectures and systems. Since 2003 he has been a Co-Director of the NSF Industry University Cooperative Research Center on Experimental Computer Systems at Georgia Tech. Dr. Yalamanchili regularly contributes professionally on editorial boards and program committees in high performance computing and computer architecture. He is a Fellow of the IEEE.
Host: Paul Bogdan
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. -
Analytic Reconstructions for MEG and EEG (Lecture I)
Mon, Apr 11, 2016 @ 04:30 PM - 05:50 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Thanasis Fokas, Department of Applied Mathematics and Theoretical Physics, University of Cambridge & Department of Electrical Engineering, University of Southern California
Talk Title: Analytic Reconstructions for MEG and EEG (Lecture I)
Series: Three Part Lecture Series
Abstract: Analytical reconstructions as well as appropriate mnumerical implementations for the important imaging techniques of Magneto-encephalography (MEG) and Electro-ecephalography (EEG) will be reviewed. The numerical implementations of MEG and EEG are based on state of the art codes for the numerical evaluation of certain auxiliary functions appearing in the relevant analytical formulae. The effectiveness of reconstructions of the neuronal current using either real EEG or real MEG data will be demonstrated.
Biography: Thanasis Fokas, Chair of Nonlinear mathematical science at the University of Cambridge and Visiting Professor of Electrical Engineering here at USC, will give a series of lectures on Magneto-Electro-Encephalography, which will be introduced by Professor Richard Leahy. The work of Thanasis FOKAS and collaborators has resolved completely the following important question in this area that was open since the fundamental work of Helmohltz: which part of the neuronal current can be computed from the knowledge of either MEG or EEG data?
Next scheduled lectures in this series:
-Lecture II: Wed., April 13, 2016, 4:00 - 5:20PM, EEB 132
-Lecture III: Mon., April 18, 2016, 4:00 - 5:20PM, EEB 132
Host: Prof. Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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, Networks & Systems (CommNetS) Seminar
Tue, Apr 12, 2016 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Radhakishan Baheti, National Science Foundation
Talk Title: NSF Programs in Energy, Power, Robotics, and Cyber-Physical Systems
Series: CommNetS
Abstract: The goal of the presentation is to provide an update on National Science Foundation (NSF) funding opportunities in the area of Energy, Power, Control and Networked Systems research and education. Research projects in power systems with renewable energy integration, power electronics, and open-access testbeds will be presented. The presentation will include NSF programs in Cyber-Physical Systems (CPS), and National Robotics Initiative. The CPS program brings together researchers from computations, communications, and control disciplines to address important engineering problems.
Biography: Dr. Radhakishan Baheti is a Program Director for Energy, Power, Control and Networks Program in the Division of Electrical, Communications, and Cyber Systems at the National Science Foundation. Dr. Baheti received the B.S. and M.S. in Electrical Engineering in India from VRCE Nagpur, and from BITS Pilani, respectively. In 1970, he came to USA and received M.S. in Information and Computer Science from University of Oklahoma and Ph.D. in Electrical and Computer Engineering from Oregon State University. In 1976, Dr. Baheti joined the Control Engineering Laboratory of GE Corporate Research and Development Center in Schenectady, NY. His work focused on advanced multivariable control for jet engines, computer- aided control system design, vision-based robots for precision welding, and Kalman filtering. Dr. Baheti and his colleagues received IR-100 award for robotic welding vision system. He has organized a series of educational workshops for GE engineers that resulted in innovative product developments and contributed to enhance university collaborations with GE business divisions. In 1989, Dr. Baheti joined NSF as a Program Director in the Division of Electrical and Communications Systems. His contributions include the development of NSF initiatives on "Combined Research and Curriculum Development", "Semiconductor Manufacturing", and NSF/EPRI Program on "Intelligent Control". In addition, he started the NSF Program "Research Experience for Teachers (RET)" to involve middle and high school teachers in engineering research that can be transferred to pre-college classrooms. Recently, he is involved in cyber-physical systems, science of learning, robotics, and open/remote access engineering test-beds for integration of research and education. He has served as associate editor for IEEE Transactions on Automatic Control, member of the Control Systems Board of Governors, chair for Public Information Committee, and awards chair for the American Automatic Control Council (AACC). He received "Distinguished Member Award" from the IEEE Control Systems Society. In 2013, he received "Outstanding Leadership and Service Award" from the Electrical and Computer Engineering Department Head Association. He was elected a Fellow of IEEE and a Fellow of AAAS.
Host: Prof. Ketan Savla
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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. -
The Fundamental Limits of Data and Metadata Privacy
Wed, Apr 13, 2016 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Peter Kairouz, University of Illinois at Urbana-Champaign
Talk Title: The Fundamental Limits of Data and Metadata Privacy
Abstract: With the ability to surf the web efficiently comes the danger of being monitored. There is an increasing tension between the need to share data and the need to preserve the privacy of Internet users. The need for privacy appears in two main contexts: the data privacy context, as in when individuals want to share their personal data with a potentially malicious service provider or when a trusted service provider wants to release sensitive information about individuals, and the metadata privacy context, as in when individuals want to broadcast information on a social network without the fear of being judged by friends, the public or authorities.
In the metadata privacy context, anonymity is achieved by controlling the way information spreads over a network. In the first half of my talk, I will introduce a novel anonymous messaging protocol (called adaptive diffusion) and show that it spreads a message quickly over a network while "perfectly" hiding authorship information from a powerful adversary with global access to metadata.
In the data privacy context, privacy is achieved by randomizing the data before releasing it. This leads to a fundamental trade-off between privacy and utility. In the second half of my talk, I will present a new class of privacy mechanisms (called staircase mechanisms) and show that they achieve the optimal privacy-utility trade-off under various settings of interest.
Biography: Peter Kairouz is a PHD student at the University of Illinois at Urbana-Champaign. For his masters, he was mainly interested in signal processing and digital communications. He interned twice at Qualcomm (in 2012 and 2013), and was awarded The 2012 Roberto Padovani Scholarship from Qualcomm's Research Center. For his PhD, he chose to work on data and metadata privacy, winning the Best Paper Award at ACM SIGMETRICS 2015. He recently interned at Google, where he designed privacy-aware machine learning algorithms. His primary research interests include privacy enhancing technologies, machine learning, and wireless communications.
Host: Professor Rahul Jain
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Suzanne Wong
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. -
Algorithms for Parameter Estimation in Quantitative MRI
Wed, Apr 13, 2016 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Marcus Björk, PhD, Division of Systems & Control, Uppsala University
Talk Title: Algorithms for Parameter Estimation in Quantitative MRI
Series: Medical Imaging Seminar Series
Abstract: Through advanced signal processing, MRI can provide quantitative measures of tissue-specific physical properties. The optimization problems solved in quantitative MRI are typically nonlinear, and require intelligent and application-specific algorithms to avoid suboptimal local minima. In this presentation, several methods for efficiently solving different parameter estimation problems in MRI, such as multi-component T2 relaxometry, and minimizing banding artifacts in bSSFP MRI due to field inhomogeneity, are presented. Finally, I will present some interesting problems for the future. The corresponding PhD thesis is available at:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246537
Biography: Dr. Marcus Bjork is a Researcher in the division of Systems and Control at Uppsala University, in Professor Peter Stoica's group. He defended his PhD thesis last year. His main field of research is signal processing, with application to Magnetic Resonance Imaging (MRI). By modeling the MR signal and estimating the model parameters from data, measures of tissue-specific physical properties can be obtained. The optimization problems solved are typically nonlinear, and require intelligent and application-specific algorithms to avoid suboptimal local minima. Designing such algorithms is a challenging research problem.
Host: Professor Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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. -
Analytic Reconstructions for MEG and EEG (Lecture II)
Wed, Apr 13, 2016 @ 04:00 PM - 05:20 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Thanasis Fokas, Department of Applied Mathematics and Theoretical Physics, University of Cambridge & Department of Electrical Engineering, University of Southern California
Talk Title: Analytic Reconstructions for MEG and EEG (Lecture II)
Series: Three Part Lecture Series
Abstract: Analytical reconstructions as well as appropriate mnumerical implementations for the important imaging techniques of Magneto-encephalography (MEG) and Electro-ecephalography (EEG) will be reviewed. The numerical implementations of MEG and EEG are based on state of the art codes for the numerical evaluation of certain auxiliary functions appearing in the relevant analytical formulae. The effectiveness of reconstructions of the neuronal current using either real EEG or real MEG data will be demonstrated.
Biography: Thanasis Fokas, Chair of Nonlinear mathematical science at the University of Cambridge and Visiting Professor of Electrical Engineering here at USC, will give a series of lectures on Magneto-Electro-Encephalography, which will be introduced by Professor Richard Leahy. The work of Thanasis FOKAS and collaborators has resolved completely the following important question in this area that was open since the fundamental work of Helmohltz: which part of the neuronal current can be computed from the knowledge of either MEG or EEG data?
Next and last scheduled lecture in this series:
-Lecture III: Mon., April 18, 2016, 4:00 - 5:20PM, EEB 132
Host: Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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. -
2016 Viterbi Lecture
Thu, Apr 14, 2016 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Norman Abramson, Professor Emeritus / University of Hawaii
Talk Title: ALOHA to the Web
Series: Viterbi Lecture
Abstract: Wireless access to the Internet today is provided predominantly by random access ALOHA channels connecting a wide variety of user devices. ALOHA channels were first analyzed, implemented and demonstrated in the ALOHA network at the University of Hawaii in June, 1971. Information Theory has provided a constant guide for the design of more efficient channels and network architectures for ALOHA access to the web.
In this talk we examine the architecture of networks using ALOHA channels and the statistics of traffic within these channels. That traffic is composed of user and app oriented information augmented by protocol information inserted for the benefit of network operation. A simple application of basic Information Theory can provide a surprising guide to the amount of protocol information required for typical web applications.
We contrast this theoretical guide of the amount of protocol information required with measurements of protocol generated information taken on real network traffic. Wireless access to the web is not as efficient as you might guess.
Biography: Norman Abramson received an A.B. in physics from Harvard College in 1953, an M.A. in physics from UCLA in 1955, and a Ph.D. in Electrical Engineering from Stanford in 1958.
He was an assistant professor and associate professor of electrical engineering at Stanford from 1958 to 1965. From 1967 to 1995 he was Professor of Electrical Engineering, Professor of Information and Computer Science, Chairman of the Department of Information and Computer Science, and Director of the ALOHA System at the University of Hawaii in Honolulu. He is now Professor Emeritus of Electrical Engineering at the University of Hawaii. He has held visiting appointments at Berkeley (1965), Harvard (1966) and MIT (1980).
Abramson is the recipient of several major awards for his work on random access channels and the ALOHA Network, the first wireless data network. The ALOHA Network went into operation in Hawaii in June, 1971. Among these awards are the Eduard Rhein Foundation Technology Award (Munich, 2000), the IEEE Alexander Graham Bell Medal (Philadelphia, 2007) and the NEC C&C Foundation Award (Tokyo, 2011).
Host: Professor Sandeep Gupta
More Info: https://bluejeans.com/662702745
More Information: 2015-16 DLS Postcard.jpg
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
Event Link: https://bluejeans.com/662702745
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. -
Molecular Computing: A New Frontier for Interdisciplinary Engineering
Mon, Apr 18, 2016 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Matthew Lakin, Professor, University of New Mexico
Talk Title: Molecular Computing: A New Frontier for Interdisciplinary Engineering
Abstract: Biological systems have evolved complex information storage and processing capabilities. These involve information-carrying DNA and RNA molecules as well as sophisticated molecular machines, such as the ribosome, that use this information to produce the proteins that drive many cellular processes. The field of molecular computing aims to achieve similarly precise, programmable control over the structure and dynamics of nanoscale computing systems, drawing on approaches from computer engineering, computer science, biology, and biochemistry. For example, a molecular computer might be designed to patrol the body, autonomously diagnosing and treating individual cells, to prevent or cure disease. In this talk I will describe my research on the design, verification, and implementation of DNA-based molecular computing architectures. I will describe my work on software tools and verification techniques as well as my work on wet lab experiments.
Biography: Matthew Lakin obtained his B.A. and Ph.D. in Computer Science from the University of Cambridge. After graduating he worked as a Postdoctoral Researcher in the Biological Computation Group at Microsoft Research in Cambridge. From 2011 to 2015, he was a Postdoctoral Scholar in the Department of Computer Science at the University of New Mexico. Dr. Lakin is currently a Research Assistant Professor in the Departments of Computer Science and Chemical & Biological Engineering at the University of New Mexico and is also a member of the UNM Center for Biomedical Engineering. Dr. Lakin works on theoretical and experimental aspects of molecular computing using DNA. He builds software tools for the design of molecular computers, works on reasoning techniques to understand and verify their behavior, constructs experimental systems that exhibit novel dynamic behaviors, and works towards applications of molecular computers to monitor and control biological and chemical systems.
Host: Professor Alice Parker
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Suzanne Wong
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. -
EE 598 Cyber-Physical Systems Seminar Series
Mon, Apr 18, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Walid Saad, Assistant Professor, Virginia Tech
Talk Title: Behavioral Game Theory in Cyber-Physical Systems: Frameworks and Applications
Abstract: Cyber-physical systems (CPSs) are characterized by three key features: heterogeneity, in terms of technology, services, and human interactions, dynamics, in terms of rapidly varying environments and uncertainty at both the cyber and physical realms, and size, in terms of number of users, devices, and services. These characteristics motivate the need for distributed optimization and control solutions that can lay the foundations of smart and secure CPSs. In this respect, game theory is expected to play a critical role towards deploying such intelligent CPSs in which cyber-physical devices, and possibly humans, can make independent and strategic decisions, smartly adapting to their environment. In particular, the presence of humans in the CPS loop motivates the adoption of game-theoretic methods that go beyond classical game theory in which agents are assumed to be objective, fully rational, and uninfluenced by real-world perceptions. Capturing such practical CPS considerations within game-theoretic constructs can be achieved via suitable notions of bounded rationality and behavioral considerations. In this talk, we will investigate the role of behavioral game theory in CPS design while delineating emerging frameworks in that field with a focus on two key CPS domains: (i)- Consumer-centric energy management in the smart grid and (ii)- Cyber-physical systems security. We conclude the talk by discussing other ongoing research activities in our group.
Biography: Walid Saad received his Ph.D degree from the University of Oslo, Norway, in 2010. Currently, he is an Assistant Professor and the Steven O. Lane Junior Faculty Fellow at the Department of Electrical and Computer Engineering at Virginia Tech. His research interests include cyber-physical systems, wireless and social networks, game theory, security, and machine learning. Dr. Saad is the recipient of the NSF CAREER award in 2013, the AFOSR summer faculty fellowship in 2014, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of five conference best paper awards at IEEE WiOpt in 2009, ICIMP in 2010, IEEE WCNC in 2012, IEEE PIMRC in 2015, IEEE SmartGridComm, also in 2015. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society. Dr. Saad serves as an editor for the IEEE Transactions on Information Forensics and Security, IEEE Transactions on Communications, and IEEE Transactions on Wireless Communications.
Host: Paul Bogdan
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. -
Analytic Reconstructions for MEG and EEG (Lecture III)
Mon, Apr 18, 2016 @ 04:00 PM - 05:20 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Thanasis Fokas, Department of Applied Mathematics and Theoretical Physics, University of Cambridge & Department of Electrical Engineering, University of Southern California
Talk Title: Analytic Reconstructions for MEG and EEG (Lecture III)
Series: Three Part Lecture Series
Abstract: Analytical reconstructions as well as appropriate mnumerical implementations for the important imaging techniques of Magneto-encephalography (MEG) and Electro-ecephalography (EEG) will be reviewed. The numerical implementations of MEG and EEG are based on state of the art codes for the numerical evaluation of certain auxiliary functions appearing in the relevant analytical formulae. The effectiveness of reconstructions of the neuronal current using either real EEG or real MEG data will be demonstrated.
Biography: Thanasis Fokas, Chair of Nonlinear mathematical science at the University of Cambridge and Visiting Professor of Electrical Engineering here at USC, will give a series of lectures on Magneto-Electro-Encephalography, which will be introduced by Professor Richard Leahy. The work of Thanasis FOKAS and collaborators has resolved completely the following important question in this area that was open since the fundamental work of Helmohltz: which part of the neuronal current can be computed from the knowledge of either MEG or EEG data?
*This is the final lecture in this series.
Host: Prof. Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Talyia White
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, Networks & Systems (CommNetS) Seminar
Wed, Apr 20, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Vijay Gupta, University of Notre Dame
Talk Title: Cyber-Physical-Human Systems: Results and Challenges
Series: CommNetS
Abstract: Advances in networking and information technology have permitted us to integrate cyber and physical components to design complex systems in fields as diverse as critical infrastructure control, automotive systems, energy conservation, environmental monitoring, and robotics. As we aim to endow such systems with higher levels of autonomy, we have to consider explicitly their interaction with people at multiple layers and in various roles. It is increasingly clear that one of the next frontiers for autonomous systems is to be able to design such cyber-physical-human systems in a systematic and scalable manner. This will naturally require integration of models, tools, constraints and techniques from the individual disciplines. I will cover some examples from our recent work that illustrate this theme. I will begin with the problem of phantom demand response in smart grid which arises when strategic customers seek to maximize their gain by anticipating the control signals that will be used. Then, I will present our recent work on cyber-physical system security that considers malicious intruders seeking to attack the physical system through hijacking the cyber components. Finally, I will show how extending some classical control tools such as passivity and dissipativity to consider cyber components explicitly can help guarantee properties such as composability that are desirable in complex systems. I will finish with some thoughts on challenges that face us in the design of cyber-physical-human systems.
Biography: Vijay Gupta is the College of Engineering Collegiate Associate Professor of Electrical Engineering at the University of Notre Dame, having joined the faculty in January 2008. He received his B. Tech degree at Indian Institute of Technology, Delhi, and his M.S. and Ph.D. at California Institute of Technology, all in Electrical Engineering. Prior to joining Notre Dame, he also served as a research associate in the Institute for Systems Research at the University of Maryland, College Park, and as a consultant at the United Technologies Research Center. He received the 2013 Donald P. Eckman Award from the American Automatic Control Council and a 2009 National Science Foundation (NSF) CAREER Award. His research and teaching interests are broadly in the interface of communication, control, distributed computation, and human decision making.
Host: Prof. Ashutosh Nayyar
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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. -
Ultrafast & Broadband Photonic Signal Processing
Thu, Apr 21, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Andrew M. Weiner, Purdue University
Talk Title: Ultrafast & Broadband Photonic Signal Processing
Abstract: Lasers capable of generating picosecond and femtosecond pulses of light are now firmly established and widely deployed. Going beyond simple pulse generation, the programmable shaping of ultrafast laser fields into arbitrary waveforms has resulted in substantial impact, both enabling new ultrafast science and contributing to applications in high-speed signal transmission. The lecture begins with an introduction to methods permitting shaping of ultrafast laser fields on time scales too fast for direct electronic control. Recent research areas in the Purdue University Ultrafast Optics and Fiber Communications Laboratory drawing on ultrafast pulse shaping are then reviewed. I first discuss photonically-assisted radio-frequency arbitrary waveform generation with application to spatial and temporal focusing of ultrabroadband wireless signals distorted by antennas or multiply scattering indoor propagation environments. In a second example, I describe recent experiments in which pulse shaping is applied in the regime of quantum optics to manipulate the wave packets of correlated photon pairs. A final example pertains to broadband optical frequency comb fields generated via nonlinear wave mixing in chip-scale microresonators pumped by a single-frequency laser. Line-by-line shaping of such fields permits compression into high repetition rate femtosecond pulse trains and furnishes insight into their coherence.
Biography: Andrew Weiner is the Scifres Family Distinguished Professor of Electrical and Computer Engineering at Purdue University. In 2008 he was elected to membership in the National Academy of Engineering and in 2009 was named a Department of Defense National Security Science and Engineering Faculty Fellow. Weiner has served a three year term as Chair of the National Academy's U.S. Frontiers of Engineering Meeting; at present he serves as Editor-in-chief of Optics Express, an all-electronic, open access journal publishing more than 3000 papers a year emphasizing innovations in all aspects of optics and photonics. After Prof. Weiner earned his Sc.D. in electrical engineering in 1984 from the Massachusetts Institute of Technology, he joined Bellcore, at that time a premier telecommunications industry research organization, first as Member of Technical Staff and later as Manager of Ultrafast Optics and Optical Signal Processing Research. He joined Purdue as Professor in 1992, and has since graduated over 35 Ph.D. students. Prof. Weiner has also spent sabbaticals at the Max Born Institute for Nonlinear Optics and Ultrashort Pulse Spectroscopy, Berlin, Germany and at JILA, University of Colorado and National Institute of Standards and Technology, Boulder, Colorado.
Prof. Weiner's research focuses on ultrafast optics, with a focus on processing of extremely high speed lightwave signals and ultrabroadband radio-frequency signals. He is especially well known for his pioneering work on programmable generation of arbitrary ultrashort pulse waveforms, which has found application both in fiber optic networks and in ultrafast optical science laboratories around the world.
Prof. Weiner is author of a textbook entitled Ultrafast Optics, has published eight book chapters, over 300 journal articles, and over 500 conference papers, and is inventor of 18 U.S. patents. His numerous awards include the Hertz Foundation Doctoral Thesis Prize (1984), the Optical Society of America's Adolph Lomb Medal (1990) and R.W. Wood Prize (2008), the International Commission on Optics Prize (1997), and the IEEE Photonics Society's William Streifer Scientific Achievement Award (1999) and Quantum Electronics Prize (2011). At Purdue he has been recognized with the inaugural Research Excellence Award from the Schools of Engineering (2003), the Provost's Outstanding Graduate Student Mentor Award (2008), the Herbert Newby McCoy Award for outstanding contributions on the natural sciences (2013), and the College of Engineering Mentoring Award (2014).
Host: Andreas Molisch, molisch@usc.edu, EEB 530, x04670
Location: Henry Salvatori Computer Science Center (SAL) - 322
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. -
Moderating Factors in Predicting Substance Use: Listening to Therapists and Clients Interact
Mon, Apr 25, 2016 @ 10:00 AM - 11:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Paul C. Amrhein, Columbia University
Talk Title: Moderating Factors in Predicting Substance Use: Listening to Therapists and Clients Interact
Abstract: During psychotherapy, and motivational interviewing (MI), in particular, the counselor and client construct a conversation. Besides treatment-specific mechanisms invoked by the counselor (e.g., exploration of ambivalence), the content of this conversation is the result of well-learned discourse mechanisms entailing language fluency, communication skills, goal-directed motivation and social learning, shared by orparticular to these individuals. Shared discourse mechanisms can enable but disparate mechanisms can inhibit a conversation that reliably leads to improved treatment outcomes. Important in this regard is the extent of mutual speaker entrainment at phonetic, morphological, syntactic, and pragmatic levels. The pragmatic level, specifically, speech acts, will be the focus of my talk, as I discuss how matches and mismatches in counselor and client discourse mechanisms can promote or derail the therapeutic conversation, triggering,e.g., client face management, that can skew the meaning and prognostic value of client talk, as a measure of therapeutic engagement and treatment outcomes. The Technical Hypothesis of MI posits that counselor verbal behavior indirectly influences unhealthy client behavior through increases in the strength or frequency of client change talk. Poorly understood, however, is whether or how counselor and client language indices (measured by MITI, MISC or DARNC coding schemes), as markers for discourse mechanisms, interact to determine the predictive value of client change talk.I will present findings of two recent MI training studies based on Swedish Corrections exit interviews and New York City community treatment sessions for substance abuse to demonstrate how and why change talk does not always lead to behavior change.To better understand how the MI conversation engages mechanisms of change, it is clearly important to understand when it doesnt.
Biography: Dr. Amrhein has attracted national and international attention for his research on motivational interviewing and the study of commitment language. He earned his PhD in Experimental Psychology and M.A. in Linguistics from the University of Wisconsin-Madison. His research has important implications for understanding and predicting changes in drug use. He is an Adjunct Associate Professor of Medical Psychology at Columbia University in New York and he holds a tenured faculty position in the Department of Psychology at Montclair State University in New Jersey. Dr. Amrhein also served on the faculty of the University of New Mexico, where he worked closely with Dr. William R. Miller on studies of motivational interviewing.
Host: Prof. Panayiotis Georgiou
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Tanya Acevedo-Lam/EE-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. -
EE 598 Cyber-Physical Systems Seminar Series
Mon, Apr 25, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Joao Hespanha, UC Santa Barbara
Talk Title: Opportunities and Challenges in Control Systems arising from Ubiquitous Computation and Communication
Abstract: Advances in VLSI (Very Large Scale Integration) design and fabrication have resulted in the availability of low-cost, low-power, small-sized devices that have significant computational power and are able to communicate wirelessly. In addition, advances in MEMS (Micro Electric Mechanical Systems) technology have resulted in wide availability of solid-state sensors and actuators. The net result is ubiquitous sensing, communication, and computation that can be incorporated into small low-power devices.
In this talk, I will discuss how the above-mentioned technological advances present important opportunities and interesting challenges for control system designers. To this effect, I will discuss how the introduction of digital communication in control loops gives rise to a need for new tools for the design and analysis of feedback control systems. I will also describe recent work demonstrating that feedback control based on on-line optimization is a viable approach to solve a wide range of control problem.
Biography: João P. Hespanha received his Ph.D. degree in electrical engineering and applied science from Yale University, New Haven, Connecticut in 1998. From 1999 to 2001, he was Assistant Professor at the University of Southern California, Los Angeles. He moved to the University of California, Santa Barbara in 2002, where he currently holds a Professor position with the Department of Electrical and Computer Engineering. Prof. Hespanha is the Chair of the Department of Electrical and Computer Engineering and a member of the Executive Committee for the Institute for Collaborative Biotechnologies (ICB). Dr. Hespanha is the recipient of the Yale University's Henry Prentiss Becton Graduate Prize for exceptional achievement in research in Engineering and Applied Science, the 2005 Automatica Theory/Methodology best paper prize, the 2006 George S. Axelby Outstanding Paper Award, and the 2009 Ruberti Young Researcher Prize. Dr. Hespanha is a Fellow of the IEEE and an IEEE distinguished lecturer from 2007 to 2013.
Dr. Hespanha's current research interests include hybrid and switched systems; multi-agent control systems; distributed control over communication networks (also known as networked control systems); the use of vision in feedback control; stochastic modeling in biology; and network security.
Host: Paul Bogdan
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.
