Events for the 5th week of March
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute for Electrical Engineering Joint Seminar Series on Cyber-Physical Systems
Mon, Mar 27, 2017 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Massimo Franceschetti, Professor, University of California San Diego
Talk Title: The value of information in event triggering: can we beat the data-rate theorem?
Abstract: In networked control, data-rate theorems relate the amount of information that the feedback channel between estimator and controller must be able to supply to guarantee stability, to the amount of information requested by the plant. They represent a cornerstone of the theory of cyber-physical systems (CPS) and have been studied for more than a decade. On the other hand, the need to use distributed resources efficiently in CPS has led to event-triggering control techniques based on the idea of sending information in an opportunistic manner between the controller and the plant. After reviewing the basics of the data rate theorems, we illustrate how these are to be modified in the presence of an event-triggered implementation. The main observation is that the act of triggering reveals information about the system's state and can be exploited for stabilization, thus effectively invalidating "classic" formulations of the theorem. An extended formulation reveals a phase transition behavior of the transmission rate required for stabilization as a function of the communication delay. It is shown that for low values of the delay the timing information carried by the triggering events is large and the system can be stabilized with any positive rate. On the other hand, when the delay exceeds a certain threshold that depends on the given triggering strategy, the timing information alone is not enough to achieve stabilization and the rate must begin to grow, eventually becoming larger than what required by the classic data-rate theorem. The critical point where the transmission rate equals the one imposed by the data-rate theorem occurs when the delay equals the inverse of the entropy rate of the plant, representing the intrinsic rate at which the system generates information. At this critical point, the timing information supplied by event triggering is completely balanced by the information loss due to the communication delay.
Biography: Massimo Franceschetti received the Laurea degree (with highest honors) in computer engineering from the University of Naples, Naples, Italy, in 1997, the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology, Pasadena, CA, in 1999, and 2003, respectively. He is Professor of Electrical and Computer Engineering at the University of California at San Diego (UCSD). Before joining UCSD, he was a postdoctoral scholar at the University of California at Berkeley for two years. He has held visiting positions at the Vrije Universiteit Amsterdam, the Ecole Polytechnique Federale de Lausanne, and the University of Trento. His research interests are in physical and information-based foundations of communication and control systems. He is co-author of the book "Random Networks for Communication" published by Cambridge University Press. Dr. Franceschetti served as Associate Editor for the IEEE Transactions on Information Theory (2009-2012) and for the IEEE Transactions on Control of Network Systems (2013-16) and as Guest Associate Editor of the IEEE Journal on Selected Areas in Communications (2008, 2009). He is currently serving as Associate Editor of the IEEE Transactions on Network Science and Engineering. He was awarded the C. H. Wilts Prize in 2003 for best doctoral thesis in electrical engineering at Caltech, the S.A. Schelkunoff Award in 2005 for best paper in the IEEE Transactions on Antennas and Propagation, a National Science Foundation (NSF) CAREER award in 2006, an Office of Naval Research (ONR) Young Investigator Award in 2007, the IEEE Communications Society Best Tutorial Paper Award in 2010, and the IEEE Control theory society Ruberti young researcher award in 2012.
Host: Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Estela Lopez
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MHI CommNetS seminar
Wed, Mar 29, 2017 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Cédric Josz, Laboratory for Analysis and Architecture (LAAS CNRS)
Talk Title: Application of Polynomial Optimization to Electricity Transmission Networks
Series: CommNetS
Abstract: Multivariate polynomial optimization where variables and data are complex numbers is a non-deterministic polynomial-time hard problem that arises in various applications such as electric power systems, signal processing, imaging science, automatic control, and quantum mechanics. Complex numbers are typically used to model oscillatory phenomena which are omnipresent in physical systems. We propose a complex moment/sum-of-squares hierarchy of semidefinite programs to find global solutions with reduced computational burden compared with the Lasserre hierarchy for real polynomial optimization. We apply the approach to large-scale sections of the European high-voltage electricity transmission grid. Thanks to an algorithm for exploiting sparsity, instances with several thousand variables and constraints can be solved to global optimality.
Biography: Cédric Josz is currently pursuing a postdoctoral project under the supervision of Jean Bernard Lasserre in the Laboratory for Analysis and Architecture (LAAS CNRS) in Toulouse, France. His work is funded by a European Research Council Advanced Grant and deals with non-convexity in optimization. He received a PhD in applied mathematics from the University of Paris VI in 2016 in collaboration with the French transmission system operator (Rte) and the French Institute for Research in Computer Science and Automation (INRIA).
Host: Prof. Rahul Jain
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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MHI CommNetS seminar
Wed, Mar 29, 2017 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Scott Moura, UC Berkeley
Talk Title: Increasing Battery Potential: Estimation & Control of Electrochemical Models
Series: CommNetS
Abstract: Batteries are ubiquitous. However, today's batteries are expensive, range-limited, power-restricted, die too quickly, and charge too slowly. Batteries are conservatively operated because their control systems treat the internal electrochemical dynamics as a black-box. Given real-time estimates of the electrochemical states, however, one can safely operate batteries near their physical limits, thus significantly enhancing performance beyond current state-of-art battery management systems. This talk reviews recent advancements in enhanced battery performance via estimation and control of PDE electrochemical models.
First, we review battery electrochemistry. Second, we discuss canonical state-of-charge (SOC), state-of-health (SOH), and other so-called SOx estimation algorithms. Third, we present recent theoretical results in state estimation and optimal control with PDE models. Finally, we close with exciting new opportunities for next-generation battery management systems.
Biography: Scott Moura is an Assistant Professor at the University of California, Berkeley in Civil & Environmental Engineering and Director of eCAL. He received the Ph.D. degree from the University of Michigan in 2011, the M.S. degree from the University of Michigan in 2008, and the B.S. degree from the UC Berkeley, in 2006 - all in Mechanical Engineering. He was a postdoctoral scholar at UC San Diego in the Cymer Center for Control Systems and Dynamics, and a visiting researcher in the Centre Automatique et Systemes at MINES ParisTech in Paris, France. He is a recipient of the O. Hugo Shuck Best Paper Award, Carol D. Soc Distinguished Graduate Student Mentoring Award, Hellman Faculty Fellows Award, UC Presidential Postdoctoral Fellowship, National Science Foundation Graduate Research Fellowship, University of Michigan Distinguished ProQuest Dissertation Honorable Mention, University of Michigan Rackham Merit Fellowship, and Distinguished Leadership Award. He has received multiple conference best paper awards, as an advisor & student. His research interests include control & estimation theory for PDEs, optimization, machine learning, batteries, electric vehicles, and the smart grid.
Host: Prof. Insoon Yang
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Gianluca Lazzi - Thursday, March 30th at 10:30am in EEB 132
Thu, Mar 30, 2017 @ 10:30 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Gianluca Lazzi, Dept. of Electrical and Computer Engineering, The University of Utah
Talk Title: Bioelectromagnetics for Neuroimplants: from Wireless Power and Data Transfer to Direct Neurostimulation
Abstract: During the past decade, we have witnessed remarkable progress in neural implants, and more generally in the development of systems that interface with the human body for recording neural activity or vital signs or stimulating the neural system. The challenges toward the development of true biomimetic systems are daunting: nonetheless, electrical or magnetic systems that can partially restore neural functions or offer therapeutic solutions have recently shown tremendous progress and potential. Prospects for electroneural interfaces to further evolve and offer a viable solution to various disorders are high.
In this talk, we will utilize examples of electric and magnetic neurostimulators, such as the artificial retina to restore partial vision to the blind, cortical neurostimulators, and magnetic peripheral neurostimulators, to introduce advances in computational bioelectromagnetics and physical neurointerfaces that enabled the progress of neurostimulating and neurorecording systems, with particular emphasis on coil-based systems for wireless power and data transfer, direct magnetic neurostimulation, multiscale computational models and methods, and liquid metal based stretchable systems.
Biography: Gianluca Lazzi, PhD, MBA, is a USTAR Professor and the Chair of the Department of Electrical and Computer Engineering (ECE) at the University of Utah.
Gianluca is a Fellow of the IEEE and a Fellow of the AIMBE. He has received numerous awards for his work, including the IEEE Wheeler Award, a R&D100 Award, a URSI Young Scientist Award, the BEMS "Curtis Carl Johnson Award," a NSF CAREER Award and a Whitaker Foundation Young Investigator Award. His research interests are in the fields of bioelectromagnetics, liquid metal electronics, antennas, wireless electromagnetics, and electric and magnetic neurostimulation. He has published over 200 papers in journals, conference proceedings, and books. Gianluca's research work has been featured in publications such as Forbes, the Economist, MSNBC, MIT Technology Review, and several others. Gianluca has been the Editor-in-Chief (EiC) from 2008 to 2013 of one of the leading journals in the field of antennas and propagation, IEEE Antennas and Wireless Propagation Letters (AWPL), which reached nearly 2,000 submissions in 2013 during his tenure - a growth of 400% in submissions. He serves or served IEEE in numerous other roles, including being the Chair of the IEEE Sensors Technical Achievement Award Committee (2011-2012), Chair of the IEEE Sensors Council Fellow Committee (2013-2015), Chair of Publications of the IEEE Antennas and Propagation Society (2013-Present), a member of AdCom of the IEEE Antennas and Propagation Society (2014-Present), and a member of the Editorial Board of the Proceedings of the IEEE (2011-Present). He was one of the speakers at a recent Grand Challenges in Life Science Symposium, held at the National Academies, which resulted in the position paper "Grand Challenges in Interfacing Engineering With Life Sciences and Medicine" published in IEEE TBME. He was the General Co-Chair of the 2014 IEEE Microwave Symposium on RF and Wireless Technologies for Biomedical Applications (London, UK).
In 2015, Dr. Lazzi cofounded the company Bend LLC with a private equity firm. Bend LLC is focused on the commercialization of liquid metal technology for sensor integration in athletic apparel and consumer electronics.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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Munushian Speaker - Mark Horowitz, Friday, March 31st at 2:00pm in EEB 132
Fri, Mar 31, 2017 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mark Horowitz, Yahoo! Founders Professor at Stanford University
Talk Title: Innovation in a Post-Moore's Law World
Abstract: For the past half century the world has enjoyed the benefits of many innovations enabled by Moore's Law scaling of silicon technology. While Intel claims that scaling is still healthy, most other organization see issues today, and many more issues ahead. Regardless of whether it has started to happen already, it will eventually stop, and that point is that that far away.
This talk will quickly review the basics behind silicon scaling, the current power problem, and current approaches to continue Moore's Law after scaling slows (think 3-D and new technologies). I will then describe why I am not optimistic about any of the new technologies rescuing Moore's Law (though there has been some interesting progress on the quantum side), and why I think that computing will be CMOS based for the foreseeable future. The net effect, which already exists today, is that the value of electronic technology has moved from being technology driven to be application driven. In an application driven world, successful products include many "cupholders", small low cost additions that improve the user experience, so enabling them is essential.
The rest of the talk is my view of how the design process and the industry must adapt if it wants to continue to create high-value products. In application driven value scenarios, the technologies that win are those that have low development costs, since most ideas fail. This has profound ramifications for both how we design chips, and how we design systems using chips. In both areas we need to enable people to try to create new innovative hardware solutions and to do that requires create enough design scaffolding to enable the equivalents of Apple's IStore/Google Play for hardware design.
Biography: Mark Horowitz is the Yahoo! Founders Professor at Stanford University and was chair of the Electrical Engineering Department from 2008 to 2012. He co-founded Rambus, Inc. in 1990 and is a fellow of the IEEE and the ACM and a member of the National Academy of Engineering and the American Academy of Arts and Science. Dr. Horowitz's research interests are quite broad and span using EE and CS analysis methods to problems in molecular biology to creating new design methodologies for analog and digital VLSI circuits.
Host: EE-Electrophysics
More Info: minghsiehee.usc.edu/about/lectures
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: minghsiehee.usc.edu/about/lectures