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Events for February 26, 2016
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Six Sigma Black Belt Fri, Feb 26, 2016
Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates (15 Day Program)
Week 1: February 22-26, 2016
Week 2: April 11-15, 2016
Week 3: May 2-6, 2016
Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate.
This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-black-belt
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
Event Link: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-black-belt
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ASBME’s First Annual Makeathon Competition
Fri, Feb 26, 2016
Viterbi School of Engineering Student Organizations
Student Activity
The Makeathon is a medical device design competition in which student teams will be presented with a challenge and a limited amount of time and resources to solve it. A big thank you to all of the teams and individuals that have registered so far - this event is free for ASBME members and $5 for non-members.
The Makeathon prizes are as follows: First Place will receive $750, Second Place will receive $500, and Third Place will receive $250. If you haven't signed up yet, make sure to do so soon - space is limited!!
For more information and registration please visit the MAKEATHON WEBSITE.
You can also support this event by visiting https://ignite.usc.edu/project/1463.
Make sure to also check out the Facebook event!Location: Ronald Tutor Campus Center (TCC) -
Audiences: Everyone Is Invited
Contact: Associated Students of Biomedical Engineering
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Aerospace and Mechanical Engineering Candidate Series
Fri, Feb 26, 2016 @ 10:00 AM - 11:00 AM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Matthew Zahr, Ph.D Candidate, Institute for Computational and Mathematical Engineering at Stanford University
Talk Title: Accelerating PDE-Constrained Optimization Problems using Adaptive Reduced-Order Models
Abstract: Optimization problems constrained by partial differential equations are ubiquitous in modern science and engineering. They play a central role in optimal design and control of multiphysics systems, as well as nondestructive evaluation and detection, and inverse problems. Methods to solve these optimization problems rely on, potentially many, numerical solutions of the underlying equations. For complicated physical interactions taking place on complex domains, these solutions will be computationally expensive - in terms of both time and resources -“ to obtain, rendering the optimization procedure difficult or intractable.
I will introduce a globally convergent, non-quadratic trust-region method to accelerate the solution of PDE-constrained optimization problems by adaptively reducing the dimensionality of the underlying computational physics discretization. In this approach, the method of snapshots and Proper Orthogonal Decomposition (POD) are used to build a reduced-order model whose fidelity is progressively enriched while converging to the optimal solution. This ensures the reduced-order model is trained exactly along the optimization trajectory and effort is not wasted by training in other regions of the parameter space. A novel minimum-residual framework for computing surrogate sensitivities of the reduced-order model is introduced that equips the trust-region method with desirable properties. The proposed method is shown to solve canonical aerodynamic shape optimization problems several times faster than accepted methods. This work has been extended to address the specific challenges posed by topology optimization, where high-dimensional parameter spaces are inevitable.
Biography: Matthew Zahr is a PhD candidate in Computational and Mathematical Engineering at Stanford University, with minors in Mechanical Engineering and Aeronautics/Astronautics, under the advisement of Prof Charbel Farhat. He received his BSc in Civil and Environmental Engineering, with a minor in Mathematics, from UC Berkeley in 2011.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 218
Audiences: Everyone Is Invited
Contact: Valerie Childress
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AI SEMINAR
Fri, Feb 26, 2016 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jie Xu, Assistant Professor at University of Miami
Talk Title: Real time knowledge discovery and decision making
Series: AI Seminar
Abstract: As the world becomes ever more connected and instrumented, decision makers have ever more rapid access to ever changing and growing streams of data, but this makes the decision makers problems ever more complex as well, because it is impossible to learn everything in the time frame in which decisions must be made. What the decision maker must do, therefore, is to discover in real time what is relevant in the enormous stream of data and use the relevant information to make good decisions. This talk presents a systematic framework and associated algorithms that enable a decision maker to do this, and shows how to use them in real time traffic prediction as an application scenario. One key challenge in traffic prediction is how much to rely on prediction models that are constructed using historical data in real time traffic situations. Our decision framework learns from the current traffic situation in real time and predicts the future traffic by matching the current situation to the most effective prediction model. The algorithms we propose yield strong performance guarantees for both the long run and the short run. The applications are numerous besides traffic prediction, including patient monitoring, surveillance, social networks etc.
Biography: Jie Xu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Miami. His research mainly focuses on game theory and learning theory. His interests lie in both developing the theory in these areas and applying it in real world engineering systems, including communication networks, cyber-security systems, online social platforms and healthcare informatics. Jie received his BS and MS degrees in Electronic Engineering from Tsinghua University in China in 2008 and 2010, respectively, and a PhD degree in Electrical Engineering from University of California, Los Angeles (UCLA) in 2015. In 2014, he was with IBM T. J. Watson Research Center where he interned in the Clinical Stream Analytics team during the summer. Jie is a recipient of Distinguished PhD Dissertation Award at UCLA.
Webcast will be LIVE Broadcast ONLY (no recording):
http://webcasterms1.isi.edu/mediasite/Viewer/?peid=f1e4af9691fe4b2882a98b305b02458c1d
Host: Linhong Zhu
Location: Information Science Institute (ISI) - 11th floor Large CR
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
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CS Seminar: Jim Hansen (Naval Research Laboratories) - Illicit Trafficking Surveillance and Interdiction: INTEL and METOC-informed Decision Guidance
Fri, Feb 26, 2016 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Jim Hansen, Naval Research Laboratories
Talk Title: Illicit Trafficking Surveillance and Interdiction: INTEL and METOC-informed Decision Guidance
Series: CS Seminar Series
Abstract: Many Navy problems can be cast as a variant of "I have some assets with various capabilities and constraints that I need to distribute tomorrow in order to best carry out my mission. Which of them should go where and do what?" Factors that influence the decision include available intelligence information, an understanding of the adversary's expected behavior, and the environmental conditions. This talk will describe a general approach that has been applied to the pirate problem, illicit (drug) trafficking, and anti-submarine warfare. It will also include a discussion of challenges associated with working with users and transitioning research projects to operations.
Host: Computer Science Department
Location: Ronald Tutor Hall of Engineering (RTH) - 105
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Feb 26, 2016 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
University Calendar
Join us for a presentation by Sandy Marshall, from Project Scientist, titled, "The Importance of STEM Role Models: Bringing Diversity to STEM Fields."
Location: Seeley G. Mudd Building (SGM) - 123
Audiences: Everyone Is Invited
Contact: Ramon Borunda/Academic Services
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EE-EP Seminar - Dina El-Damak, Friday, Feb. 26th at 2:00pm in EEB 132
Fri, Feb 26, 2016 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dina El-Damak, Massachusetts Institute of Technology
Talk Title: Empowering the IoT: Energy Scavenging and Ultra-low Power Processing
Abstract: The internet of things (IoT) is driving a new computing era by enabling the wireless connectivity of nearly everything we use. Vehicles, appliances, civil- engineering structures, manufacturing equipment, livestock and even our own bodies will have embedded sensors that report information directly to networked servers, aiding with maintenance and the coordination of tasks. The creativity in this new era of the IoT is boundless, with amazing potential to immensely improve human life. Realizing that vision, however, will require extremely low-power sensing systems that can run for months without battery changes - or, even better, that can extract energy from the environment to recharge. Moreover, the flexibility and the miniaturization of such systems are highly desirable to ease their integration with various structures. Thus, the future growth of the IoT will be contingent upon innovations in ultra- low power circuit design techniques, system architecture, as well as novel material technologies.
In the first part of this talk, I will present the design of a power management IC that can operate efficiently with input power in the range of 10 nW to 1uW with 3.2nW quiescent power consumption for energy harvesting applications. The asynchronous architecture, subthreshold operation, power-gating and dynamic pulse-width control enabled a peak efficiency greater than 80%. In the second part of the talk, I will show the results of an integrated power management IC using on-chip ferroelectric capacitors for dynamic voltage scaling. The integration of ferroelectric materials with silicon CMOS technology allowed the design of highly efficient switched capacitor DC- DC converter with a peak efficiency of 93%. In the last part of the talk, I will focus on circuit design using the flexible Molybdenum Disulfide (MoS2 ) - one of the emerging two-dimensional materials. I will touch upon our system design flow - which is validated by the design and testing of various combinational logic and sequential circuits. Measurement results demonstrating fully-functional prototypes will be shown and future application opportunities will be discussed.
Biography: Dina El-Damak received the S.M. and Ph.D. degrees in Electrical Engi- neering and Computer Science from the Massachusetts Institute of Technology (MIT) in 2012 and 2015 respectively, and the B.Sc. and M.Sc. degrees in Electronics and Electrical Communication Engineering from Ain Shams University, Cairo, Egypt. She is currently a postdoctoral associate in the Energy-Efficient Circuits and Systems Group at MIT working under the supervision of Prof. Anantha Chandrakasan. Dr. El-Damak was the recipient of Texas Instruments Graduate Woman's Fellowship for leadership in microelectronics for the academic years 2012-2013 and 2013-2014. Her research interests include energy harvesting, power management circuits and ultra-low power biomedical systems.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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NL Seminar-Interactive scene design using natural language
Fri, Feb 26, 2016 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Angel Chang , (Stanford University)
Talk Title: Interactive scene design using natural language
Series: Natural Language Seminar
Abstract: Designing 3D scenes is currently a creative task that requires significant expertise and effort in using complex 3D design interfaces. This design process starts in contrast to the easiness with which people can use language to describe real and imaginary environments. We present an interactive text to 3D scene generation system that allows a user to design 3D scenes using natural language. A user provides input text from which we extract explicit constraints on the objects that should appear in the scene. Given these explicit constraints, the system then uses a spatial knowledge base learned from an existing database of 3D scenes and 3D object models to infer an arrangement of the objects forming a natural scene matching the input description. Using textual commands the user can then iteratively refine the created scene by adding, removing, replacing, and manipulating objects.
Biography: Angel Chang recently received her PhD after working in the Stanford NLP group where she was advised by Chris Manning. Her research focuses on the intersection of natural language understanding, computer graphics, and AI. She is currently a visiting expert at Tableau Research. More details at http://stanford.edu/~angelx/
Host: Xing Shi and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=735bfbb4ba1a4b749fe591958f837ccb1dLocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=735bfbb4ba1a4b749fe591958f837ccb1d
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
