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Events for February 03, 2021

  • Viterbi Career & Internship Expo

    Wed, Feb 03, 2021 @ 10:00 AM - 05:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    This event is open exclusively to Viterbi undergraduate, graduate and doctoral students and facilitates connections between Viterbi students and employers.

    Registration Information Coming Soon!

    Location: TBD
    Time: 10 a.m. - 5 p.m. (PST) | 10:30 p.m. - 5:30 a.m. (IST) | 1 a.m. - 8 a.m. (CST)


    For the most up-to-date information on the Career & Internship Expo, visit: https://viterbicareers.usc.edu/careerexpo/

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Trojan Talk: Oracle

    Wed, Feb 03, 2021 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    *This is an external event hosted by Oracle*

    Please join the Oracle NetSuite Diversity Team at one of our upcoming virtual open houses to learn more about NetSuite and explore a career in sales or consulting within the Tech industry.

    The sessions will discuss the following:

    Our commitment to diversity & inclusion in the workplace
    Available full-time opportunities
    Q&A with sales and consulting business leaders

    Register Here: https://apexapps.oracle.com/pls/apex/f?p=10412:1::::RP,1:P1_EVENT_ID:MVBRWNVODX&cs=1GpP4C37SdUxRZV4CwgdmYk7DwV3ZB3K-kx2fOyrowyxw1aPkBv40i3sEDd-58gc3VP0UJ2CjcWpNqEFocsVDSw

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • CAIS Seminar: Daniel Leightley (King’s Centre for Military Health Research) - Drinks: Ration: Managing Alcohol Misuse by Automation

    Wed, Feb 03, 2021 @ 01:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Daniel Leightley, King's Centre for Military Health Research and the NIHR Biomedical Research Centre

    Talk Title: Drinks: Ration: Managing Alcohol Misuse by Automation

    Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series

    Abstract: Technological advances within smart phone devices are creating new innovative routes to improve monitoring, delivery, and effectiveness of clinical interventions. In this talk, I will present Drinks: Ration, a smart phone app designed to reduce alcohol misuse in veterans through the application of machine learning and behavioral change theory. This combination enables us to personalize both the content of Drinks: Ration and messaging to promote healthy lifestyle changes in the armed forces community.

    Register in advance for this webinar at:
    https://usc.zoom.us/webinar/register/WN_87CjZnUESYaB5Z1MR18KwA

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

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Dr. Daniel Leightley is a Post-Doctoral Research Associate at the King's Centre for Military Health Research and the NIHR Biomedical Research Centre. His research focuses on the interface between machine learning and mobile health technologies, specifically focused on diagnosis, treatment, intervention and management of physical and mental health conditions.


    Host: USC Center for Artificial Intelligence in Society (CAIS)

    Webcast: https://usc.zoom.us/webinar/register/ WN_87CjZnUESYaB5Z1MR18KwA

    Location: Online Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/ WN_87CjZnUESYaB5Z1MR18KwA

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Wed, Feb 03, 2021 @ 01:30 PM - 02:30 PM

    Thomas Lord Department of Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

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    Contact: USC Computer Science

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  • Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar

    Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar

    Wed, Feb 03, 2021 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ye Zhao, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology

    Talk Title: Robust Planning and Decision-making for Safe Legged Locomotion

    Series: Center for Cyber-Physical Systems and Internet of Things

    Abstract: Our society has witnessed the advancement of legged locomotion autonomy and mobility, but they have not become prevalent as autonomous driving and wheeled robot mobility. One crux is the lack of robust, scalable, and real-time planning and decision-making algorithms for these highly complex legged machines with contact-rich behaviors. To address this issue, symbolic planning, logic-based formal method, and distributed optimization are promising yet underexplored for locomotion problems. This talk will present three unique perspectives to quantify uncertainties and reason about robustness in task and motion planning algorithms for highly dynamic legged locomotion. I will start with temporal-logic-based reactive motion planning for whole-body dynamic locomotion in constrained environments and propose robust metrics to enable resilient contact decisions. Following this direction, I will present our recent task planning framework with belief tracking for safe locomotion in partially observable environments. In the end, I will talk about contact-aware trajectory optimization methods that parameterize terrain uncertainties for robust cost design to enhance risk-sensitive locomotion performance.

    Biography: Ye Zhao is an Assistant Professor at The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. He works on planning and decision-making algorithms of highly dynamic and contact-rich robots. He is especially interested in challenging locomotion and manipulation problems with formal guarantees on robustness and autonomy. He was a Postdoctoral Fellow at Harvard University, and received his Ph.D. degree in Mechanical Engineering from The University of Texas at Austin in 2016. At Georgia Tech, he leads the Laboratory for Intelligent Decision and Autonomous Robots (LIDAR) (http://lab-idar.gatech.edu/). He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) and the Decision and Control Laboratory (DCL).

    Host: Feifei Qian and Pierluigi Nuzzo

    Webcast: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA

    Location: Online

    WebCast Link: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • Repeating EventM.S. Group Advisement

    Wed, Feb 03, 2021 @ 03:00 PM - 04:00 PM

    Thomas Lord Department of Computer Science

    Workshops & Infosessions


    This optional group advisement session is for new and continuing M.S. Computer Science students and M.S. students in our Data Science Programs. Access instructions will be emailed to students prior to the session.

    Location: Online - Zoom

    Audiences: Graduate

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    Contact: USC Computer Science

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  • AME Seminar

    Wed, Feb 03, 2021 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ali Khosronejad, Stony Brook University

    Talk Title: Saliva Particle Transport during Cough & Breathing: Insights on Effective Social Distancing & Face Wearing Gained by LES

    Abstract: The Coronavirus disease outbreak of 2019 has been causing significant loss of life and unprecedented economical loss throughout the world. Social distancing and face masks are widely recommended around the globe in order to protect others and prevent the spread of the virus through breathing, coughing, and sneezing. To expand the scientific underpinnings of such recommendations, we carry out high-fidelity computational fluid dynamics simulations of unprecedented resolution and realism to elucidate the underlying physics of saliva particulate transport during human cough and normal breathing with and without facial masks. Our simulations: (a) are carried out under both a stagnant ambient flow (indoor) and a mild unidirectional breeze (outdoor) (b) incorporate the effect of human anatomy on the flow (c) account for both medical and non-medical grade masks; and (d) consider a wide spectrum of particulate sizes. We show that during indoor coughing some saliva particulates could travel up to 0.48 m, 0.73 m, and 2.62 m for the cases with medical-grade, non-medical grade, and without facial masks, respectively. Thus, in indoor environments either medical or non-medical grade facial masks can successfully limit the spreading of saliva particulates to others. Under outdoor conditions with a unidirectional mild breeze, however, leakage flow through the mask can cause saliva particulates to be entrained into the energetic shear layers around the body and transported very fast at large distances by the turbulent flow, thus, limiting the effectiveness of facial masks.

    Biography: Short Bio:
    1995 -“ 99 BS, Hydraulic Engineering, University of Tehran, Tehran, Iran
    1999 -“ 2001 MS, Hydraulic Engineering, Sharif University of Technology, Tehran, Iran
    2001 -“ 2006 PhD, Hydraulic Engineering, Tarbiat Modarres University, Tehran, Iran
    2004 -“ 2005 Research Assistant, University of Ottawa, Canada
    2006 -“ 2009 Assis. Prof., University of Guilan, Rasht, Iran
    2006 -“ 2009 Senior Engineer, Dam Rehabilitation Dept., Mahab Ghods Consultant, Tehran, Iran
    2009 -“ 2016 Post-Doctoral, St. Anthony Falls Lab., University of Minnesota, Mineapolis, MN
    2016 -“ Assis. Prof., Civil Engineering Dept., Stony Brook University, Stony Brook, NY
    Published over 40 Journal Articles
    PI of research grants from NSF, NIH, Austrian NSF, and California Department of Transportation
    Co-PI of research grants from DOE and NYSERDA

    Host: AME Department

    More Info: https://usc.zoom.us/j/99170932320

    Webcast: https://usc.zoom.us/j/99170932320

    Location: Online event

    WebCast Link: https://usc.zoom.us/j/99170932320

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://usc.zoom.us/j/99170932320

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