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Events for February 03, 2015

  • Center for Engineering Diversity Industry Advisory Board Meeting

    Tue, Feb 03, 2015 @ 10:00 AM - 03:30 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Quarterly meeting of Center for Engineering Diversity industry partners.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Industry Partners

    Contact: Viterbi Center for Engineering Diversity

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  • Aerospace and Mechanical Engineering Seminar Series

    Tue, Feb 03, 2015 @ 12:00 PM - 01:00 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Amanda Randles, Lawrence Fellow, Lawrence Livermore National Laboratory at Livermore, CA

    Talk Title: Using Massively Parallel Simulation to Study Human Disease

    Series: Aerospace and Mechanical Engineering Seminar Series

    Abstract: The recognition of the role hemodynamic forces have in the localization and development of disease has motivated large-scale efforts to enable patient-specific simulations. When combined with computational approaches that can extend the models to include physiologically accurate hematocrit levels in large regions of the circulatory system, these image-based models yield insight into the underlying mechanisms driving disease progression and inform surgical planning or the design of next generation drug delivery systems. Building a detailed, realistic model of human blood flow, however, is a formidable mathematical and computational challenge. The models must incorporate the motion of fluid, intricate geometry of the blood vessels, continual pulse-driven changes in flow and pressure, and the behavior of suspended bodies such as red blood cells. In this talk, I will discuss the development of HARVEY, a parallel fluid dynamics application designed to model hemodynamics in patient-specific geometries. I will cover the methods introduced to reduce the overall time-to-solution and enable near-linear strong scaling on up to 1,572,864 core of the IBM Blue Gene/Q supercomputer. Finally, I will present the expansion of the scope of projects to address not only vascular diseases, but also treatment planning and the movement of circulating tumor cells in the bloodstream.

    Biography: Amanda Randles is a Lawrence Postdoctoral Fellow working in the Center for Applied Scientific Computing at LLNL. Working with Professors Efthimios Kaxiras and Hanspeter Pfister, she completed her Ph.D. in Applied Physics at Harvard University with a secondary field in Computational Science in 2013. In 2010 she obtained her Master's Degree in Computer Science from Harvard University. Prior to graduate school, she worked for three years as a software developer at IBM on the Blue Gene Development Team. Her primary roles were in application development and performance analysis. She received her Bachelor's Degree in both Computer Science and Physics from Duke University.

    Host: --

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Valerie Childress

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  • Communications, Networks & Systems (CommNetS) Seminar

    Tue, Feb 03, 2015 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Yasamin Mostofi, UC Santa Barbara

    Talk Title: Robotics and RF: From X-Ray Vision with WiFi to Communication-Aware Robotics

    Series: CommNetS

    Abstract: RF signals are everywhere these days. As we go on with our daily lives, we constantly leave our signature on these signals by breaking them. This naturally raises the question of how much information these signals carry about us or, in general, about their environment. For instance, imagine two unmanned vehicles arriving behind thick concrete walls. They have no prior knowledge of the area behind these walls.
    But they are able to see every square inch of the invisible area through the walls, fully imaging what is on the other side with high accuracy. Can the robots achieve this with only WiFi signals and no other sensors? As another example, consider the WiFi network of a building. Can it estimate the occupancy level of the building and the spatial concentration of the people with a good accuracy?
    In the first part of the talk, I will discuss our latest theoretical and experimental results to achieve these goals. More specifically, I show that it is possible to achieve x-ray vision with only WiFi signals and image details through thick concrete walls. Furthermore, I discuss occupancy estimation where I show how to extract the level of occupancy from WiFi measurements. With the vision of unmanned vehicles becoming part of our everyday society soon, the talk also shows how WiFi signals can give x-ray vision to robots.
    In the second part of the talk, I focus on communication-aware robotics. I will start by developing a foundational understanding for the spatial predictability of wireless channels. This allows each robot to go beyond the over-simplified but commonly-used disk model for connectivity, and realistically assess the impact of a motion decision on its link. By utilizing this framework, I will then show how each unmanned vehicle can best co-optimize its communication, sensing and navigation objectives under resource constraints. This co-optimized approach results in a significant performance improvement as I discuss in the talk.

    Biography: Yasamin Mostofi received the B.S. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 1997, and the M.S. and Ph.D. degrees from Stanford University, Stanford, California, in 1999 and 2004, respectively. She is currently an associate professor in the Department of Electrical and Computer Engineering at the University of California Santa Barbara.
    Yasamin is the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), the National Science Foundation (NSF) CAREER award, the IEEE 2012 Outstanding Engineer Award of Region 6 (more than 10 Western U.S. states), and the 1999 Bellcore fellow-advisor award from Stanford Center for Telecommunications, among other awards. Her research is on mobile sensor networks. Current research thrusts include RF sensing, see-through imaging with WiFi, X-ray vision for robots, communication-aware robotics, and robotic networks. Her research has appeared in several news outlets such as BBC and Engadget.

    Host: Prof. Bhaskar Krishnamachari and the Ming Hsieh Institute

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Annie Yu

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  • The Viterbi Industry Networking Event

    Tue, Feb 03, 2015 @ 05:00 PM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events


    The Viterbi Industry Networking Event allows Viterbi juniors and seniors from select active student organizations to meet employers the evening before the Fall and Spring Career Fairs and allows students to practice their networking skills by engaging with top engineering companies in a professional business networking environment.

    This is an Invite Only event

    Location: TBA

    Audiences: Invite Only

    Contact: RTH 218 Viterbi Career Services

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  • ASBME GM#7: Corporate Dinner Company Cheat Sheet

    Tue, Feb 03, 2015 @ 08:00 PM - 09:00 PM

    Viterbi School of Engineering Student Organizations

    Student Activity


    Planning on attending ASBME's Corporate Dinner? Come to this meeting to get a head start on learning all about the different companies you will be networking with! It's important to demonstrate your interest in these companies by knowing the basics about them, and that's what this event is all about. We've done all the research for you-- all you have to do is come listen to our short presentation about each company, what kinds of products they make, and other key details.

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 108

    Audiences: Everyone Is Invited

    Contact: Associated Students of Biomedical Engineering

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