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Events for the 4th week of February
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Ming Hsieh Department of Electrical Engineering Seminar
Tue, Feb 20, 2018 @ 10:00 AM - 11:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Workshops & Infosessions
Restricted Isometry Property of Gaussian Random Projection for Low-Dimensional Subspaces
Professor Yuantao Gu
Tsinghua University
Beijing, China
Abstract: Dimensionality reduction is in demand to reduce the complexity of solving large-scale problems with data lying in latent low-dimensional structures in machine learning and computer version. Motivated by such need, in this talk I will introduce the Restricted Isometry Property (RIP) of Gaussian random projections for low-dimensional subspaces in R^N, and prove that the projection Frobenius norm distance between any two subspaces spanned by the projected data in R^n for nMore Information: Yuantao Gu Seminar.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gloria Halfacre
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Modeling, Analysis and Design of Resilient Cyber-Physical Systems
Tue, Feb 20, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Bruno Sinopoli , Carnegie Mellon University
Talk Title: Modeling, Analysis and Design of Resilient Cyber-Physical Systems
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Recent advances in sensing, communication and computing allow cost effective deployment in the physical world of large-scale networks of sensors and actuators, e.g. Internet of Things, enabling fine grain monitoring and control of a multitude of physical systems and infrastructures. Such systems, called cyber-physical, lie at the intersection of sensing, communication, computing and control. The close interplay among these fields and the resulting complexity render independent design of subsystems a risky approach, as separation of concerns does not constitute a realistic assumption in real world scenarios. It is therefore imperative to derive new models and methodologies to allow analysis and design of robust and secure cyber-physical systems (CPS). In this talk I will present an overview of recent research on the topic and discuss future directions.
Biography: Bruno Sinopoli received the Dr. Eng. degree from the University of Padova in 1998 and his M.S. and Ph.D. in Electrical Engineering from the University of California at Berkeley, in 2003 and 2005 respectively. After a postdoctoral position at Stanford University, Dr. Sinopoli joined the faculty at Carnegie Mellon University where he is full professor in the Department of Electrical and Computer Engineering with courtesy appointments in Mechanical Engineering and in the Robotics Institute and co-director of the Smart Infrastructure Institute, a research center aimed at advancing innovation in the modeling analysis and design of smart infrastructure. Dr. Sinopoli was awarded the 2006 Eli Jury Award for outstanding research achievement in the areas of systems, communications, control and signal processing at U.C. Berkeley, the 2010 George Tallman Ladd Research Award from Carnegie Mellon University and the NSF Career award in 2010. His research interests include the modeling, analysis and design of Secure by Design Cyber-Physical Systems with applications to Energy Systems, Interdependent Infrastructures and Internet of Things.
Host: Professor Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering
Wed, Feb 21, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sean Meyn, University of Florida
Talk Title: Reinforcement Learning: Hidden Theory, and New Super-Fast Algorithms
Abstract: Stochastic Approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly unknown distributions. The most famous examples today are TD- and Q-learning algorithms. The first half of this lecture will provide an overview of stochastic approximation, with a focus on optimizing the rate of convergence. A new approach to optimize the rate of convergence leads to the new Zap Q-learning algorithm. Analysis suggests that its transient behavior is a close match to a deterministic Newton-Raphson implementation, and numerical experiments confirm super fast convergence.
Biography: Sean Meyn received the BA degree in mathematics from the University of California, Los Angeles, in 1982 and the PhD degree in electrical engineering from McGill University, Canada, in 1987 (with Prof. P. Caines). He is now Professor and Robert C. Pittman Eminent Scholar Chair in the Department of Electrical and Computer Engineering at the University of Florida, the director of the Laboratory for Cognition and Control, and director of the Florida Institute for Sustainable Energy. His academic research interests include theory and applications of decision and control, stochastic processes, and optimization. He has received many awards for his research on these topics, and is a fellow of the IEEE. He has held visiting positions at universities all over the world, including the Indian Institute of Science, Bangalore during 1997-1998 where he was a Fulbright Research Scholar. During his latest sabbatical during the 2006-2007 academic year he was a visiting professor at MIT and United Technologies Research Center (UTRC). His award-winning 1993 monograph with Richard Tweedie, Markov Chains and Stochastic Stability, has been cited thousands of times in journals from a range of fields. The latest version is published in the Cambridge Mathematical Library. For the past ten years his applied research has focused on engineering, markets, and policy in energy systems. He regularly engages in industry, government, and academic panels on these topics, and hosts an annual workshop at the University of Florida.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Information: meyn.png (PNG Image, 134 × 168 pixels).pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
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Ming Hsieh Department of Electrical Engineering Seminar
Thu, Feb 22, 2018 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Workshops & Infosessions
Jae-Young Sim
Reflection Removal for Images and 3D Point Clouds
We often capture images of a target scene through glass. For example, we take photographs of the products displayed in the show window, or take photographs of buildings with glass curtain walls. The captured glass image includes the target scene behind the glass as well as undesired reflected scene in front of the glass, since light passes through and is reflected on a pane of glass simultaneously. Such reflection artifacts may degrade the performance of image processing and computer vision techniques when applied to glass images. In this seminar, we first talk about an automatic reflection removal algorithm for multiple glass images taken at slightly different camera locations. Also, with the advent of high-performance LiDAR scanners, large-scale 3D point clouds (LS3DPCs) for real-world scenes are being used in challenging applications. However, LS3DPCs captured by terrestrial LiDAR scanners also suffer from the reflection artifacts since many outdoor real-world structures include glasses. As a next topic, we
define a problem of reflection in LS3DPCs and introduce our current research work on reflection removal for LS3DPCs.Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gloria Halfacre
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Dr. Julia Greer - Munushian Seminar Speaker, Friday, February 23rd at 2:00pm in EEB 132
Fri, Feb 23, 2018 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Julia Greer, California Institute of Technology
Talk Title: Materials by Design: 3-Dimensional Nano-Architected Meta-Materials
Abstract: Creation of extremely strong and simultaneously ultra lightweight materials can be
achieved by incorporating architecture into material design. We fabricate threedimensional
(3D) nano-architectures, i.e. nanolattices, whose constituents vary in size
from several nanometers to tens of microns to centimeters. These nanolattices can
exhibit superior thermal, photonic, electrochemical, and mechanical properties at extremely
low mass densities (lighter than aerogels), which renders them ideal for many
scientific pursuits and technological applications. The dominant properties of such
meta-materials, where individual constituent size at each relevant scale (atoms to
nanometers to microns) is comparable to the characteristic microstructural length
scale of the constituent solid, are largely unknown because of their multi-scale nature.
To harness the beneficial properties of 3D nano-architected meta-materials, it is
critical to assess properties at each relevant scale while capturing the overall structural
complexity.
We describe the deformation, as well as the mechanical, biochemical,
electrochemical, thermal, and photonic properties of nanolattices made of different
materials with varying microstructural detail. Attention is focused on uncovering the
synergy between the internal atomic-level microstructure and the nano-sized external
dimensionality, where competing material- and structure-induced size effects drive
overall response and govern these properties. Specific discussion topics include the
nanofabrication and characterization of (often hierarchical) three-dimensional nanoarchitected
meta-materials and their applications in chemical and biological devices,
ultra lightweight energy storage systems, damage-tolerant fabrics, and photonic
crystals.
Biography: Greer's research focuses on creating and characterizing classes of materials with multiscale
microstructural hierarchy, that utilize the combination of three-dimensional (3D)
architectures with nanoscale-induced material properties. These include nature-made
materials, i.e. bone and hard biological systems, as well as synthetic ones that can be
comprised of a broad range of materials: from ceramics and metals to glasses, polymers,
organics, organic/inorganic hybrids, and multi-functional smart materials. These nanoarchitected
meta-materials not only provide a rich "playground" for fundamental
science but also have the potential to enable new technological advances in biomedical
devices, battery electrodes, lightweight structural materials, and
Greer obtained her S.B. in Chemical Engineering with a minor in Advanced Music
Performance from MIT in 1997 and a Ph.D. in Materials Science from Stanford, worked
at Intel (2000-03) and was a post-doc at PARC (2005-07). Julia joined Caltech in 2007
and currently is a full professor with appointments in Materials Science, Mechanical
Engineering, and Medical Engineering.
Greer has more than 130 publications and has delivered over 100 invited lectures, which
include 2 TEDx talks, multiple named seminars at universities, the Watson lecture at
Caltech, the Gilbreth Lecture at the National Academy of Engineering, the Midwest
Mechanics Lecture series, and a "IdeasLab" at the World Economic Forum. She was
named a Vannevar-Bush Faculty Fellow by the US Department of Defence (2016) and
CNN's 20/20 Visionary (2016). Her work was recognized among Top-10 Breakthrough
Technologies by MIT's Technology Review (2015). Greer was named as one of "100
Most Creative People" by Fast Company and a Young Global Leader by World
Economic Forum (2014) and received multiple career awards: Kavli (2014), Nano
Letters, SES, and TMS (2013); NASA, ASME (2012), Popular Mechanics
Breakthrough Award (2012), DOE (2011), DARPA (2009), and Technology Review's
TR-35, (2008).
Greer serves as an Associated Editor for Nano Letters and Extreme Mechanics Letters.
She is also a concert pianist, with recent performances of "nanomechanics rap" with
MUSE/IQUE, solo piano recitals and chamber concerts (2007-present), and as a soloist
of Brahms Concerto No. 2 with Redwood Symphony (2006).
Host: EE-Electrophysics
More Info: minghsiehee.usc.edu/about/lectures/munushian
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: minghsiehee.usc.edu/about/lectures/munushian