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Events for April 14, 2022

  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Thu, Apr 14, 2022 @ 09:00 AM - 09:30 AM

    Computer Science

    Student Activity


    If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/

    Audiences: Undergrad

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    Contact: USC Computer Science

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  • IMPROV FOR ENGINEERS MASTER CLASS

    Thu, Apr 14, 2022 @ 10:00 AM - 11:00 AM

    USC Viterbi School of Engineering

    University Calendar


    Exciting experiential learning opportunity for engineers! Join the Improv for Engineers Master Class, an interactive and dynamic workshop designed to improve creativity, communication, and collaboration skills through theater arts techniques. Improv for Engineers is a co-curricular partnership between the School of Dramatic Arts and the Viterbi School of Engineering.


    More Information: Improv for Engineers Master Class flyer Spring 2022.docx

    Location: College Academic Services Building (CAS) - CAS Lawn- between CAS and Leavey Library

    Audiences: Everyone Is Invited

    Contact: Elisabeth Weiss

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  • Repeating EventVirtual First-Year Admission Information Session

    Thu, Apr 14, 2022 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here!



    Audiences: Everyone Is Invited

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    Contact: Viterbi Admission

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  • Tech Talk With Maxlinear CTO - State-of-the-Art Communication Chips

    Thu, Apr 14, 2022 @ 12:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Meet the CTO and co-founder of Maxlinear, Dr. Curtis Ling during this interactive Q&A session with food and drinks!
    Thursday, April 14th, 12-2 pm
    Ronald Tutor Hall (RTH) Room 211
    Food and drinks will be served!
    RSVP required, RSVP in Viterbi Career Gateway.
    Dr. Curtis will discuss how do circuits and algorithms convey data between a mobile device and servers within a data center. In this talk, we will give you some insight into this process by discussing examples of advanced communication systems integrated on a chip (SOCs) deployed across mobile, data center, and home networking systems.
    This is targeted event for master's and PhD students in electrical engineering/computer engineering with an interest in communication systems, integrated circuits, signal processing, optical transceivers, and wireless communications.
    We have both internship and full-time opportunities available. Maxlinear can sponsor international candidates and hires on CPT and OPT.

    Location: 211

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Astani Civil and Environmental Engineering Seminar

    Thu, Apr 14, 2022 @ 12:30 PM - 01:30 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yue Yue Fan, University of California, Davis

    Talk Title: Physics-informed data analytics approaches using constrained optimization - exploiting domain knowledge and hard information in a transportation network

    Abstract: Please see attached abstract and bio.

    Host: Dr. Jim Moore

    Webcast: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701

    More Information: YueYue Fan-Abstract_ Bio.pdf

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

    WebCast Link: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

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  • CS Colloquium: Joydeep Biswas (University of Texas at Austin) - Deploying Autonomous Service Mobile Robots, And Keeping Them Autonomous

    Thu, Apr 14, 2022 @ 04:10 PM - 05:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Joydeep Biswas, University of Texas at Austin

    Talk Title: Deploying Autonomous Service Mobile Robots, And Keeping Them Autonomous

    Series: Computer Science Colloquium

    Abstract: *New start time: 4:10 PM PT*

    Why is it so hard to deploy autonomous service mobile robots in unstructured human environments, and to keep them autonomous? In this talk, I will explain three key challenges, and our recent research in overcoming them: 1) ensuring robustness to environmental changes; 2) anticipating and overcoming failures; and 3) efficiently adapting to user needs.
    To remain robust to environmental changes, we build probabilistic perception models to explicitly reason about object permanence and distributions of semantically meaningful movable objects. By anticipating and accounting for changes in the environment, we are able to robustly deploy robots in challenging frequently changing environments.
    To anticipate and overcome failures, we introduce introspective perception to learn to predict and overcome perception errors. Introspective perception allows a robot to autonomously learn to identify causes of perception failure, how to avoid them, and how to learn context-aware noise models to overcome such failures.
    To adapt and correct behaviors of robots based on user preferences, or to handle unforeseen circumstances, we leverage representation learning and program synthesis. We introduce visual representation learning for preference-aware planning to identify and reason about novel terrain types from unlabelled human demonstrations. We further introduce physics-informed program synthesis to synthesize and repair programmatic action selection policies (ASPs) in a human-interpretable domain-specific language with several orders of magnitude fewer demonstrations than necessary for neural network ASPs of comparable performance.
    The combination of these research advances allows us to deploy a varied fleet of wheeled and legged autonomous mobile robots on the campus scale at UT Austin, performing tasks that require robust mobility both indoors and outdoors.

    ***Dr. Joydeep Biswas will give the talk in person at SGM 124 and we will also host the talk over Zoom.***

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_lWf_mXH3Qr2qtbHg1kbOYQ

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Joydeep Biswas is an assistant professor in the department of computer science at the University of Texas at Austin. He earned his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008, and M.S. and PhD in Robotics from Carnegie Mellon University in 2010 and 2014 respectively. From 2015 to 2019, he was assistant professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. His research spans perception and planning for long-term autonomy, with the ultimate goal of having service mobile robots deployed in human environments for years at a time, without the need for expert corrections or supervision. Prof. Biswas received the NSF CAREER award in 2021, an Amazon Research Award in 2018, and a JP Morgan Faculty Research Award in 2018.


    Host: Stefanos Nikolaidis

    Webcast: https://usc.zoom.us/webinar/register/WN_lWf_mXH3Qr2qtbHg1kbOYQ

    Location: Seeley G. Mudd Building (SGM) - 124

    WebCast Link: https://usc.zoom.us/webinar/register/WN_lWf_mXH3Qr2qtbHg1kbOYQ

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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