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Events for October 16, 2020

  • Repeating EventMEGA presents Newbies & Vets Game Jam

    MEGA presents Newbies & Vets Game Jam

    Fri, Oct 16, 2020

    Thomas Lord Department of Computer Science

    Student Activity


    Want to make a game while quarantining at home? MEGA is excited to announce that the 2020 Newbies and Vets Game Jam will be taking place virtually from October 16-18! Whether you're new to making games or you're a veteran with years of game development experience, all are welcome during the 2020 Newbies and Vets Game Jam! We will be announcing a whole new game jam format so that this year's game jam can take place fully online.

    (SIGN UP BY 10/14 -- DETAILS BELOW)

    What's a game jam? A game jam is an event where participants work together to create a video game from scratch in a short amount of time. From level design to art direction to programming, all skill sets are welcome! The Newbies and Vets Game Jam is specifically designed with beginners in mind, so anyone from any major is welcome to participate!

    This year we'll be offering both team and individual signups. For individuals, we will be creating teams based on preferences and experience levels (so newbies can be teamed up with vets!).

    Signups close October 14, so be sure to get your form in early! Sign up here: https://forms.gle/ViyMc1fEwFV1yJNLA

    Location: Online

    Audiences: Undergraduate and Graduate Students

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    Contact: USC MEGA

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  • PhD Defense -Yixue Zhao

    Fri, Oct 16, 2020 @ 09:00 AM - 11:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Candidate: Yixue Zhao



    Committee:

    Nenad Medvidovic (Chair)

    Chao Wang

    Bhaskar Krishnamachari



    Date: 10/16/2020

    Time: 9am

    Zoom: https://usc.zoom.us/j/96796759326?pwd=aTF3SnJlS3ljM1pjMkhZNzIyVGttdz09
    Meeting ID: 967 9675 9326
    Passcode: 149878



    Title: Reducing User-Perceived Latency in Mobile Applications via Prefetching and Caching



    Prefetching and caching is a fundamental approach to reduce user-perceived latency, and has been shown effective in various domains for decades. However, its application on today's mobile apps remains largely under-explored. This is an important but overlooked research area since mobile devices have become the dominant platform, and this trend is reflected in the billions of mobile devices and millions of mobile apps in use today. At the same time, user-perceived latency has been shown to have a large impact on mobile-user experience and can cause significant economic consequences.

    In my dissertation, I aim to fill this gap by providing a multifaceted solution to establish the foundation for exploring various aspects of prefetching and caching techniques in the mobile-app domain. To that end, my dissertation consists of four major elements. As a first step, I conducted an extensive study to investigate the opportunities for applying prefetching and caching techniques in mobile apps, providing empirical evidence on their applicability and showing insights to guide future techniques. Second, I developed PALOMA, the first content-based prefetching technique for mobile apps using program analysis, which has achieved significant latency reduction with high accuracy and negligible overhead. Third, I constructed HiPHarness, a tailorable framework for investigating history-based prefetching in a wide range of scenarios. Guided by today's stringent privacy regulations that have limited the access to mobile-user data, I further leveraged HiPHarness to conduct the first study on history-based prefetching with "small" prediction models, demonstrating its feasibility on mobile platforms and in turn, opening up a new research area. Finally, to reduce the manual effort required in evaluating prefetching and caching techniques, I have devised FrUITeR, a framework for assessing test-reuse techniques in order to automatically select suitable test cases to evaluate prefetching and caching techniques, without real users' engagement as required previously.

    WebCast Link: https://usc.zoom.us/j/96796759326?pwd=aTF3SnJlS3ljM1pjMkhZNzIyVGttdz09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Grammar Tutoring

    Grammar Tutoring

    Fri, Oct 16, 2020 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    One-on-One Grammar Tutoring for Viterbi Graduate and Undergraduate Students

    Students are welcome to bring any type of writing in any stage of development, including drafts. Examples include dissertations, articles, papers, cover letters, resumes, and personal statements.

    Viterbi writing professors will work with students to identify recurring errors and teach students how to correct them.

    Fall 2020 sessions will be conducted via Zoom on alternate Fridays. Contact helenhch@usc.edu to schedule an appointment today!

    Location: ZOOM

    Audiences: Graduate and Undergraduate Students

    Contact: Helen Choi

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  • AME PhD Student Seminar

    Fri, Oct 16, 2020 @ 03:00 PM - 04:00 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Talk Title: Automated Stratified Wake Classification

    Abstract: There has been increasing interest in how and whether early wake information coming from body geometry and initial conditions can persist into a long-lived structure in a stratified fluid. As the wake evolves, the wake goes through various flow regimes mapped out in Re and Fr parameter space. In this talk, I will propose an automated pattern detection algorithm that classifies modes from Dynamic Mode Decomposition of a wake based on criterias set by the characteristics of each regime. Wake data from both experiment and simulation are explored to improve the robustness of this classifier, especially when the flow information is limited spatially and contaminated by noise.


    Biography: Chris Ohh is a Ph.D. student under Dr. Spedding. Her research focuses on identifying traceable stratified wake signatures from various initial conditions. She earned both a B.S. and M.S. in Mechanical Engineering from USC.


    Host: AME Department

    More Info: https://usc.zoom.us/j/92144809085

    Audiences: Everyone Is Invited

    Contact: Christine Franks

    Event Link: https://usc.zoom.us/j/92144809085

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  • Financial Literacy Workshop

    Fri, Oct 16, 2020 @ 06:00 PM - 07:00 PM

    Thomas Lord Department of Computer Science

    Student Activity


    Financial Literacy Workshop
    Learn from Artem Joukov, a Finance PhD student at the Marshall School of Business, about key finance concepts such as diversifying your assets, fundamentals of stocks and bonds, 401k, and more!
    Friday October 16 @6pm PST
    If interested, please fill in the form: https://forms.gle/yqw45aV58HZpDt7V9
    Zoom Link: https://usc.zoom.us/j/99599051448?pwd=NXQra1ZsSmhlMkFjK1MyRUhNZFFLZz09

    Location: Online - Zoom

    WebCast Link: https://usc.zoom.us/j/99599051448?pwd=NXQra1ZsSmhlMkFjK1MyRUhNZFFLZz09

    Audiences: Undergraduate and Graduate Students

    Contact: USC IEEE

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