SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for January
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Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering
Mon, Jan 08, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Bassam Bamieh, University of California at Santa Barbara
Talk Title: Multiplicative Noise as a Structured Stochastic Uncertainty Problem
Abstract: Linear systems with multiplicative, time-varying noise exhibit varied and rich phenomenology. We study such systems in a framework similar to that used in robust control where the stochastic parameters are viewed as a "structured uncertainty". In particular, a purely input-output approach is developed to characterize mean-square stability. This approach clarifies earlier results in this area and also easily produces new ones in the case of correlated uncertainties. Applications of this framework to networked dynamical systems with link failures and stochastic topologies will be illustrated. In addition, an application to a model of the Cochlea will be described which potentially explains otoacoustic emissions as an instability mechanism. Finally, we illustrate some interesting connections of this work with the phenomenon of Anderson Localization which is a canonical problem in the statistical physics of disordered media.
Biography: Bassam Bamieh is Professor of Mechanical Engineering and Associate Director of the Center for Control, Dynamical Systems and Computation (CCDC) at the University of California at Santa Barbara. His research interests are in the fundamentals of Control and Dynamical Systems such as Robust, Optimal and Distributed Control, as well as the applications of systems and feedback techniques in several physical and engineering systems including shear flow transition and turbulence, and the use of feedback in thermoacoustic energy conversion devices. He is a past recipient of the AACC Hugo Schuck Best Paper Award, and the IEEE Control Systems Society G. S. Axelby Outstanding Paper Award (twice). He is a Fellow of the International Federation of Automatic Control (IFAC), and a Fellow of the IEEE.
Host: Mihailo Jovanovic, mihailo@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
Towards Stochastic Geometry for Smart Cities and Internet of Things
Wed, Jan 10, 2018 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Harpreet S. Dhillon, Department of Electrical and Computer Engineering, Virginia Tech
Talk Title: Towards Stochastic Geometry for Smart Cities and Internet of Things
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Stochastic geometry deals with the study of random spatial patterns. Such patterns appear in all major technological systems of critical importance to smart cities, such as communication networks, transportation, and smart grid. For instance, locations of wireless nodes, vehicles, and electric vehicle charging stations can all be visualized as random point patterns and can hence be modeled as point processes. Somewhat less obviously, the layout of roads in a city can also be visualized as a random spatial pattern (and can hence be modeled as a line process).
In this talk, our focus will be on doubly-stochastic spatial models and their applications to problems of interest to communications and CPS communities. We will start our discussion with networks formed on roadways. In order to model these networks, we will construct a doubly-stochastic model in which the layout of roads is modeled using a line process and locations of vehicles (and other infrastructure elements) on each road as a Poisson point process. Using this model, we will first characterize the performance of a wireless link formed by a typical vehicle with another vehicle in the same network. This basic construct can be used to characterize wireless performance in emerging V2X/C-V2X technologies. We will then apply the same model to study the problem of infrastructure placement (such as electric vehicle charging stations) along the roads. In such problems, we generally need to measure distances along the roads (similar to Manhattan distance) because of which the resulting analysis has a significantly different flavor compared to that of wireless networks. In the remaining time, we will focus on Poisson cluster process, which is a doubly-stochastic spatial model that is useful in capturing spatial coupling in the locations of wireless nodes. We will discuss its applications to both Internet of Things and cellular networks (time permitting). Interested readers can refer to the following two representative papers to get more rigorous details: https://arxiv.org/abs/1709.08577 (line process) and https://doi.org/10.1109/TCOMM.2017.2782741 (cluster process).
Biography: Harpreet S. Dhillon received the B.Tech. degree in Electronics and Communication Engineering from IIT Guwahati in 2008, the M.S. degree in Electrical Engineering from Virginia Tech in 2010, and the Ph.D. degree in Electrical Engineering from the University of Texas at Austin in 2013. In academic year 2013-14, he was a Viterbi Postdoctoral Fellow at the University of Southern California. He joined Virginia Tech in August 2014, where he is currently an Assistant Professor of Electrical and Computer Engineering. He has held short-term visiting positions at Bell Labs, Samsung, and Qualcomm. His research interests include communication theory, stochastic geometry, cyber-physical systems, and wireless ad hoc and heterogeneous cellular networks.
Dr. Dhillon is a Clarivate Analytics Highly Cited Researcher and has coauthored five best paper award recipients including the 2016 IEEE Communications Society (ComSoc) Heinrich Hertz Award, the 2015 IEEE ComSoc Young Author Best Paper Award, the 2014 IEEE ComSoc Leonard G. Abraham Prize, and two conference best paper awards at IEEE ICC 2013 and European Wireless 2014. His other academic honors include the 2017 Outstanding New Assistant Professor Award from the Virginia Tech College of Engineering, the 2013 UT Austin Wireless Networking and Communications Group (WNCG) leadership award, the UT Austin Microelectronics and Computer Development (MCD) Fellowship, and the 2008 Agilent Engineering and Technology Award. He currently serves as an Editor for the IEEE Transactions on Wireless Communications, the IEEE Transactions on Green Communications and Networking, and the IEEE Wireless Communications Letters.
Host: Professor Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
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. -
Low Cost Platforms for EE Education
Fri, Jan 12, 2018 @ 01:30 PM - 02:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Patrick Kane, Cypress Semiconductor Corporation
Talk Title: Low Cost Platforms for EE Education
Abstract: By 2020 there will be 50 Billion devices connected to the internet (MIT, 2017). More and more institutions are implementing IoT courses as part of their curriculum (Class Central, 2017; MIT, 2017; UC San Diego, 2017).
The lecture will introduce attendees to available development kits suitable for IoT as well as an overview of the Cypress University Alliance program and demonstrations of Cypress kits that can be used in the lab section of a variety of courses including (but not limited to): Fundamentals of Digital Logic, Op Amp filters, robotics, mechatronics, embedded systems and IoT.
Biography: Patrick Kane is the director of the Cypress University Alliance Program (CUA) at Cypress Semiconductor Corporation. The Cypress University Alliance Program is dedicated to partnering with academia to ensure that professors and students have access to the latest Cypress PSoC technology for use in education and research. Mr. Kane joined Cypress to begin a university program at Cypress in July 2006. Before joining Cypress, Mr. Kane spent over 13 years at Xilinx in a variety of technical and marketing roles including Applications Engineering, Aerospace and Defense, Automotive, Technical Training, and managed the Xilinx University Program (XUP) from 1998 through 2002. Prior to Xilinx, Mr. Kane spent a number of years at both Advanced Micro Devices and Lattice Semiconductor Inc. He holds ASEET, BSEE, and MBA degrees and has authored numerous articles and conference papers. Mr. Kane is currently pursuing a doctorate in educational technology.
Host: Professor Sandeep Gupta
Location: Ronald Tutor Hall of Engineering (RTH) - 105
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. -
Formal Methods for Building a Multi-Robot Task Server
Tue, Jan 16, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Rupak Majumdar, Max Planck Institute for Software Systems
Talk Title: Formal Methods for Building a Multi-Robot Task Server
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: In this talk, I will talk about synthesis challenges that arose in our attempts to build Antlab, an end-to-end system that takes streams of user task requests and executes them using collections of robots. In Antlab, each request is specified declaratively in linear temporal logic extended with quantifiers over robots. The user does not program robots individually, nor know how many robots are available at any time or the precise state of the robots. The Antlab runtime system manages the set of robots, schedules robots to perform tasks, automatically synthesizes robot motion plans from the task specification, and manages the co-ordinated execution of the plan.
We are using Antlab as an end-to-end application of formal methods in cyber-physical systems.I will describe techniques to bridge the gap between continuous and discrete worlds,and hierarchical synthesis tools based on repeated re-planning and dynamic conflict resolution.On the theoretical side, I will describe compositional synthesis for continuous systems and some new classes of synthesis problems.On the practical side, I will describe ongoing work in using natural language for declarative specifications of tasks.
This talk represents joint work with Brendon Boldt, Eva Darulova, Rayna Dimitrova, Ivan Gavran, Kaushik Mallik, Vinayak Prabhu, Indranil Saha, Anne-Kathrin Schmuck, Sadegh Soudjani, and Damien Zufferey.
Biography: Rupak Majumdar is a Scientific Director at the Max Planck Institute for Software Systems. Previously, he was a faculty member at the University of California, Los Angeles.His research interests are in the verification and control of reactive, real-time, hybrid, and probabilistic systems, software verification and programming languages, logic, and automata theory. He received the President's Gold Medal from IIT, Kanpur, the Leon O. Chua award from UC Berkeley, an NSF CAREER award, a Sloan Foundation Fellowship, an ERC Synergy award, and "Most Influential Paper" awards from PLDI and POPL.
Host: Professor Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
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. -
Seminar
Wed, Jan 17, 2018 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jerry M. Mendel, University of Southern California
Talk Title: A Remarkable Trajectory-” From AI back to AI, With Many Stops Along the Way
Series: Remarkable Trajectory Seminar Series
Abstract: In honor and celebration of his retirement and 44 years of service at USC, the Viterbi School of Engineering invites Jerry M. Mendel to share the trajectory of his remarkable career. His talk will describe some of the research (that began with AI and concluded with AI), educational and administrative paths along this trajectory.
Biography: Jerry M. Mendel has published close to 600 technical papers (more than 125 individually authored) and is author and/or co-author of 12 books, including Uncertain Rule-based Fuzzy Systems: Introduction and New Directions, 2nd ed. (Springer 2017), Perceptual Computing: Aiding People in Making Subjective Judgments (Wiley & IEEE Press, 2010), and Introduction to Type-2 Fuzzy Logic Control: Theory and Application (Wiley & IEEE Press, 2014).
Host: Drs. Sandeep Gupta and Richard Leahy
More Information: 20180117 Mendel Poster.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Gloria Halfacre
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. -
Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering
Mon, Jan 22, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Miroslav Krstic, University of California, San Diego
Talk Title: Traffic Congestion Control: A PDE Backstepping Perspective
Abstract: Control of freeway traffic using ramp metering is a "boundary control" problem when modeling is approached using widely adopted coupled hyperbolic PDE models of the Aw-Rascle-Zhang type, which include the velocity and density states, and which incorporate a model of driver reaction time. Unlike the "free traffic" regime, in which ramp metering can affect only the dynamics downstream of the ramp, in the "congested traffic" regime ramp metering can be used to suppress stop-and-go oscillations both downstream and upstream of the ramp -“ though not both simultaneously. Controlling the traffic upstream of a ramp is harder -“ and more interesting -“ because, unlike in free traffic, the control input doesn't propagate at the speed of the vehicles but at a slower speed, which depends on a weighted difference between the vehicle speed and the traffic density. I will show how PDE backstepping controllers, which have been effective recently in oil drilling and production applications (similarly modeled by coupled hyperbolic PDEs), can help stabilize traffic, even in the absence of distributed measurements of vehicle speed and density, and when driver reaction times are unknown.
Biography: Miroslav Krstic is Distinguished Professor of Mechanical and Aerospace Engineering, holds the Alspach endowed chair, and is the founding director of the Cymer Center for Control Systems and Dynamics at UC San Diego. He also serves as Associate Vice Chancellor for Research at UCSD. As a graduate student, Krstic won the UC Santa Barbara best dissertation award and student best paper awards at CDC and ACC. Krstic has been elected Fellow of seven scientific societies - IEEE, IFAC, ASME, SIAM, AAAS, IET (UK), and AIAA (Assoc. Fellow) - and as a foreign member of the Academy of Engineering of Serbia. He has received the ASME Oldenburger Medal, Nyquist Lecture Prize, Paynter Outstanding Investigator Award, Ragazzini Education Award, Chestnut textbook prize, the PECASE, NSF Career, and ONR Young Investigator awards, the Axelby and Schuck paper prizes, and the first UCSD Research Award given to an engineer. Krstic has also been awarded the Springer Visiting Professorship at UC Berkeley, the Distinguished Visiting Fellowship of the Royal Academy of Engineering, the Invitation Fellowship of the Japan Society for the Promotion of Science, and honorary professorships from four universities in China. He serves as Senior Editor in IEEE Transactions on Automatic Control and Automatica, as editor of two Springer book series, and has served as Vice President for Technical Activities of the IEEE Control Systems Society and as chair of the IEEE CSS Fellow Committee. Krstic has coauthored twelve books on adaptive, nonlinear, and stochastic control, extremum seeking, control of PDE systems including turbulent flows, and control of delay systems.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Information: krstic.jpg
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
Adversarial Machine Learning: The Case of Optimal Attack Strategies Against Recommendation Systems
Wed, Jan 24, 2018 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Negar Kiyavash, Associate Professor/UIUC
Talk Title: Adversarial Machine Learning: The Case of Optimal Attack Strategies Against Recommendation Systems
Abstract: Adversarial machine learning which lies in the intersection of learning and security aims to understand the effects of adversaries on learning algorithms and safe guard against them by design of protection mechanisms. In this talk, we discuss the effect of strategic adversaries in recommendation systems. Such systems can be modeled using a multistage sequential prediction framework where at each stage, the recommendation system combines the predictions of set of experts about an unknown outcome with the aim of accurately predicting the outcome. The outcome is often the "rating/interest" of a user in an item. Specifically, we study an adversarial setting in which one of the experts is malicious and his goal is to impose the maximum loss on the system. We show that in some settings the greedy policy of always reporting false prediction is asymptotically optimal for the malicious expert. Our result could be viewed as a generalization of the regret bound for learning from expert advice problem in the adversarial setting with respect to the best dynamic policy, rather than the conventional regret bound for the best action (static policy) in hindsight.
Biography: Negar Kiyavash is Willett Faculty Scholar at the University of Illinois and a joint Associate Professor of Industrial and Enterprise Engineering and Electrical and Computer Engineering. She is also affiliated with the Coordinated Science Laboratory (CSL) and the Information Trust Institute. She received her Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2006. Her research interests are in design and analysis of algorithms for network inference and security. She is a recipient of NSF CAREER and AFOSR YIP awards and the Illinois College of Engineering Dean's Award for Excellence in Research.
Host: Sandeep Gupta, sandeep@usc.edu, x02251
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
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. -
Secure Hardware Platforms for the Internet of Things (IoT)
Wed, Jan 24, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Srini Devadas, Massachusetts Institute of Technology
Talk Title: Secure Hardware Platforms for the Internet of Things (IoT)
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: The Internet is expanding into the physical world, connecting billions of devices. In this Internet of Things, two contradictory trends are appearing. On the one hand, the cost of security breaches is increasing as we place more responsibilities on the devices that surround us. On the other hand, wireless computing elements are becoming small, unsupervised, and physically exposed. Unfortunately, existing systems do not address many new attacks, such as resource sharing and physical attacks.
Hardware to the rescue! This talk will describe how secure systems can be built from the ground up. Physical Unclonable Functions (PUFs) are a tamper resistant way of establishing shared secrets with a physical device. They rely on the inevitable manufacturing variations between devices to produce private keys that can be used as a hardware root of trust in a secure processor. Architectural isolation can be used to secure computation on a remote secure processor with a private key where the privileged software is potentially malicious as recently deployed by Intel's Software Guard Extensions (SGX). The Sanctum secure processor architecture offers the same promise as SGX, namely strong provable isolation of software modules running concurrently and sharing resources, but is much more lightweight and protects against an important class of additional software attacks that infer private information by exploiting resource sharing.
Biography: Srini Devadas is the Webster Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) where he has been on the faculty since 1988. Devadas's research interests span Computer-Aided Design (CAD), computer security and computer architecture. He is a Fellow of the IEEE and ACM. He has received the 2014 IEEE Computer Society Technical Achievement award, the 2015 ACM/IEEE Richard Newton technical impact award, and the 2017 IEEE Wallace McDowell award for his research. Devadas is a MacVicar Faculty Fellow and an Everett Moore Baker teaching award recipient, considered MIT's two highest undergraduate teaching honors.
Host: Professor Paul Bogdan
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. -
Optimal Stochastic Control for Generalized Network Flow Problems
Thu, Jan 25, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Eytan Modiano, Laboratory for Information and Decision Systems, Massachusetts Institute of Technology
Talk Title: Optimal Stochastic Control for Generalized Network Flow Problems
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: We will describe a new online dynamic policy, called Universal Max-Weight (UMW), for throughput-optimal routing and scheduling in wireless networks with an arbitrary mix of unicast, broadcast, multicast and anycast traffic. To the best of our knowledge, UMW is the first throughput-optimal algorithm for solving the generalized network-flow problem. Building upon UMW, we also design an admission control, routing and scheduling policy that maximizes network utility, while simultaneously keeping the physical queues in the network stable.
When specialized to the unicast setting, the UMW policy yields a throughput-optimal, loop-free, routing and link-scheduling policy. This is in contrast to the Back-Pressure (BP) policy which allows for packet cycling, resulting in excessive latency. Extensive simulation results show that the proposed UMW policy incurs substantially smaller delays as compared to backpressure. Conceptually, the UMW policy is derived by relaxing the precedence constraints associated with multi-hop routing and then solving a min-cost routing and max-weight scheduling problem on a virtual network of queues. The proof of optimality combines ideas from stochastic Lyapunov theory with a sample path argument from adversarial queueing theory.
Biography: Eytan Modiano received his B.S. degree in Electrical Engineering and Computer Science from the University of Connecticut at Storrs in 1986 and his M.S. and PhD degrees, both in Electrical Engineering, from the University of Maryland, College Park, MD, in 1989 and 1992 respectively. He was a Naval Research Laboratory Fellow between 1987 and 1992 and a National Research Council Post Doctoral Fellow during 1992-1993. Between 1993 and 1999 he was with MIT Lincoln Laboratory. Since 1999 he has been on the faculty at MIT, where he is a Professor and Associate Department Head in the Department of Aeronautics and Astronautics, and Associate Director of the Laboratory for Information and Decision Systems (LIDS).
His research is on communication networks and protocols with emphasis on satellite, wireless, and optical networks. He is the co-recipient of the MobiHoc 2016 best paper award, the Wiopt 2013 best paper award, and the Sigmetrics 2006 Best paper award. He is the Editor-in-Chief for IEEE/ACM Transactions on Networking, and served as Associate Editor for IEEE Transactions on Information Theory and IEEE/ACM Transactions on Networking. He was the Technical Program co-chair for IEEE Wiopt 2006, IEEE Infocom 2007, ACM MobiHoc 2007, and DRCN 2015. He is a Fellow of the IEEE and an Associate Fellow of the AIAA, and served on the IEEE Fellows committee.
Host: Professor Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
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. -
Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering
Mon, Jan 29, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ulrich Muenz, Siemens
Talk Title: Future Power System Control Functions: An Industry Perspective
Abstract: This talk provides an overview of Siemens Corporate Technology's recent research on new control functions for future power systems. Three different topics are discussed: (a) adaptive power oscillation damping optimization to increase the stability reserve of power systems, (b) robust power flow optimization to increase power system resilience to volatile generation, and (c) autonomous microgrids that provide autonomous operation and plug-and-produce capabilities.
Biography: Ulrich Muenz is head of the Research Group Autonomous Systems and Control at Siemens Corporate Technology in Princeton, NJ. Prior to this appointment, he was a senior key expert research scientist for power system stability and control at Siemens Corporate Technology in Munich, Germany. He received his Ph.D. degree in Automatic Control from the University of Stuttgart, Germany in 2010, and MSc degrees in Electrical Engineering and Telecommunications from the Universities of Stuttgart, Germany, and Madrid, Spain, both in 2005. He received the EECI European Ph.D. Award on Embedded and Networked Control in 2010. From 2010 to 2011, he was a systems engineer at Robert Bosch GmbH. His main research interests are autonomy technologies based on model- and data-driven methods for applications like power systems and industrial manufacturing.
Host: Mihailo Jovanovic
More Information: muenz
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
Quantitative susceptibility mapping (QSM): tissue magnetism, mathematical optimization and clinical applications
Mon, Jan 29, 2018 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yi Wang, PhD, Department of Biomedical Engineering & Radiology, Cornell University
Talk Title: Quantitative susceptibility mapping (QSM): tissue magnetism, mathematical optimization and clinical applications
Series: Biomedical Engineering Seminar
Abstract: Tissue magnetism refers to the electron-“proton interaction, which is long range with its effects on MRI being treated as static dephasing. In contrast, tissue relaxation refers to the proton-“proton (commonly known as spin-spin) interaction, which is short range with its effect on MRI being treated with nonequilibrium quantum statistical mechanics. The long-range magnetism implies nonlocal blooming artifacts in both T2* hypointensity and phase of MRI signal. Quantitative susceptibility mapping (QSM) is to deconvolve blooming artifacts, using the Bayesian approach to the magnetic field to susceptibility source inverse problem. QSM has become sufficiently accurate and robust for routine applications. QSM is advancing MRI of tissue magnetic susceptibility from simple qualitative detection of hypointense blooming artifacts to precise measurement of biodistributions. Tissue susceptibility contains rich functional and structural information pertinent to molecular electron cloud properties. The dominant susceptibility sources in tissue are biometals, which are vital participants in cellular functions and pathologies. QSM can be useful for diseases that involve neurodegeneration, inflammation, hemorrhage, abnormal oxygen consumption, substantial alterations in highly paramagnetic cellular iron, bone mineralization, or pathologic calcification; and for all disorders in which MRI diagnosis or surveillance requires contrast agent injection. Clinicians should consider integrating QSM into their routine imaging practices by including gradient echo sequences in all relevant MRI protocols.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
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. -
Pioneer Series Lecture
Wed, Jan 31, 2018 @ 02:30 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Alexander A. Sawchuk, Leonard Silverman Chair in Electrical Engineering and Professor of Electrical Engineering-Systems
Talk Title: Signal and Image Processing: Analog, Digital, and Everything In Between
Series: MHI Pioneer Series
Host: Ming Hsieh Institute
More Info: https://minghsiehee.usc.edu/mhi-ee-pioneer-series/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Benjamin Paul
Event Link: https://minghsiehee.usc.edu/mhi-ee-pioneer-series/
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.
