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Events for November 18, 2019

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Mon, Nov 18, 2019

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    This half day program is designed for prospective freshmen (HS seniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!

    Register Here

    Location: Ronald Tutor Campus Center (TCC) -

    Audiences: Everyone Is Invited

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    Contact: Viterbi Admission

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  • Fall 2019 Joint CSC@USC/CommNetS-MHI Seminar Series

    Fall 2019 Joint CSC@USC/CommNetS-MHI Seminar Series

    Mon, Nov 18, 2019 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Steven Brunton, University of Washington

    Talk Title: Machine Learning and Sparse Optimization for Modeling, Sensing, and Controlling Fluid Dynamics

    Abstract: Many tasks in fluid mechanics, such as design optimization, sensor selection, modeling, and control, are challenging because fluids are nonlinear and exhibit a large range of scales in both space and time. This range of scales necessitates exceedingly high-dimensional measurements and computational discretization to resolve all relevant features, resulting in vast data sets and time-intensive computations. Indeed, fluid dynamics is one of the original big data fields, and many high-performance computing architectures, experimental measurement techniques, and advanced data processing and visualization algorithms were driven by decades of research in fluid mechanics. Despite the increasing volumes of fluid data, low-dimensional patterns often exist, and there are considerable efforts to model the evolution of these dominant coherent structures that are important for engineering objectives. In this talk, I will explore a number of emerging techniques in machine learning and sparse optimization that complement existing numerical and experimental efforts in fluid mechanics. Machine learning comprises a powerful set of techniques to uncover these low-dimensional flow patterns, which in turn enables sparse optimization for efficient sampling and computations. The resulting models are parsimonious, balancing model complexity with descriptive ability while avoiding overfitting. Because fluid dynamics is central to transportation, health, energy, and defense systems, I will emphasize the importance of machine learning solutions that are interpretable, generalizable, and that respect known physics.

    Biography: Steven L. Brunton is the James B. Morrison Associate Professor of Mechanical Engineering at the University of Washington. He is also Adjunct Associate Professor of Applied Mathematics and a Data Science Fellow at the eScience Institute. Steve received the B.S. in mathematics from Caltech in 2006 and the Ph.D. in mechanical and aerospace engineering from Princeton in 2012. His research combines machine learning with dynamical systems to model and control systems in fluid dynamics, biolocomotion, optics, energy systems, and manufacturing. He is a co-author of three textbooks, received the Army and Air Force Young Investigator Program (YIP) awards, and the Presidential Early Career Award for Scientists and Engineers (PECASE).

    Host: Prof. Si-Zhao Qin, sqin@usc.edu

    More Info: http://csc.usc.edu/seminars/2019Fall/brunton.html

    More Information: 191118_Steven Brunton_CSC.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Brienne Moore

    Event Link: http://csc.usc.edu/seminars/2019Fall/brunton.html

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  • CILQ Faculty Seminar

    Mon, Nov 18, 2019 @ 04:00 PM - 05:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Alan Willner, Professor/USC

    Talk Title: High-Capacity Free-Space Communication Links Using Mode-Division Multiplexing

    Abstract: Multiple orthogonal beams, each located on a different spatial mode and carrying independent data, can be simultaneously transmitted between two apertures. This form of spatial multiplexing, known as mode multiplexing, has the potential to significantly increase communication system capacity and spectral efficiency. Of particular note is the multiplexing of orbital-angular-momentum modes for high-capacity free-space optical and millimeter-wave links. We will discuss transmission results, design guidelines, mitigation of turbulence and crosstalk, and classical and quantum channels.

    Host: CSI

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

    Audiences: Everyone Is Invited

    Contact: Corine Wong

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  • Qualcomm Innovation Fellowship (QIF) Trojan Talk

    Qualcomm Innovation Fellowship (QIF) Trojan Talk

    Mon, Nov 18, 2019 @ 05:30 PM - 06:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    At Qualcomm, research and development is a strong focus. It enables Qualcomm to foster new ideas which ultimately lead to future technology advancements and growth. That focus is also what led it to partner with university PhD students, cultivating new and forward thinking ideas and continuing to further research and development overall. The Qualcomm Innovation Fellowship (QIF) program invests in university PhD students and their forward thinking ideas.

    Learn more about the Qualcomm Innovation Fellowship (QIF) program here: https://www.qualcomm.com/invention/research/university-relations/innovation-fellowship.

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Viterbi PhD Students in CS, CE, or EE

    Contact: RTH 218 Viterbi Career Connections

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  • Qualcomm Wireless Research & Development Trojan Talk

    Qualcomm Wireless Research & Development Trojan Talk

    Mon, Nov 18, 2019 @ 06:30 PM - 08:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Learn how you can become one of the engineers in Qualcomm Wireless Research, working on strategic projects for the development of new technologies related to 5G, C-V2X, WLAN, industrial-IoT and satellite communication systems. This session will feature information about full-time opportunities.

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Viterbi CS, CE, or EE Students

    Contact: RTH 218 Viterbi Career Connections

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