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Events for October 12, 2022

  • ServiceNow Open House (Virtual, External)

    Wed, Oct 12, 2022 @ 10:00 AM - 11:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    At ServiceNow, our technology makes the world work for everyone, and our people make it possible. Our diverse team is changing the world with products that make a meaningful impact on people and communities. The more of \'you\' you bring to work, the better. When you join ServiceNow, the world works.
    Who is ServiceNow?
    ServiceNow creates digital experiences that help organizations work smarter, faster, and better. Our purpose is to make the world work better for everyone.

    ServiceNow Open Houses:
    We are excited to announce our new Open Houses this Fall! These Open Houses are
    available to anyone that would like to learn more about ServiceNow, our culture, and opportunities. Each open house will consist of an info session about ServiceNow and breakout rooms with recruiters and ServiceNow professionals. Join us and do not miss out on all the fun!

    ServiceNow Workshops:
    We are excited to announce that we are bringing back our career development
    workshop series. These are free, virtual, career development workshops aimed to help those looking to jumpstart their careers in the tech industry. We\'ll be covering valuable topics that you won\'t want to miss!

    ServiceNow Virtual Events

    - Open House September 7th | 10 to 11 am

    - Stand Out at Career Fairs and Conferences
    Workshop September 14th| 10 to 11 am

    - Open House September 22nd | 10 to 11 am

    - Open House October 5th | 10 to 11 am

    - Build Your Personal Brand and Give Your LinkedIn a Makeover Workshop October 12th |10 to 11 am

    - Open House October 20th | 10 to 11 am

    - Open House November 2nd |10 to 11 am

    - How to Ace your In-Person and Virtual Interview Workshop November 9th 10:00 AM to 11:00 AM PDT

    - Open House November 17th |10 to 11 am

    - Open House November 30th | 10 to 11 am

    - Overcoming Imposter Syndrome Workshop December 14th | 10 to 11 am

    - Open House December 15th | 10:00 to 11:00 am

    Check out all of our events and RSVP here!
    External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participants responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu

    Location: online

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

  • Machine Learning Center Seminar: Furong Huang (University of Maryland) - Trustworthy Machine Learning in Complex Environments

    Wed, Oct 12, 2022 @ 10:00 AM - 11:30 AM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Furong Huang, University of Maryland

    Talk Title: Trustworthy Machine Learning in Complex Environments

    Series: Machine Learning Seminar Series hosted by USC Machine Learning Center

    Abstract: With the burgeoning use of machine learning models in an assortment of applications, there is a need to rapidly and reliably deploy models in a variety of environments. These trustworthy machine learning models must satisfy certain criteria, namely the ability to: (i) adapt and generalize to previously unseen worlds although trained on data that only represent a subset of the world, (ii) allow for non-iid data, (iii) be resilient to (adversarial) perturbations, and (iv) conform to social norms and make ethical decisions.

    In this talk, towards trustworthy and generally applicable intelligent systems, I will cover some reinforcement learning algorithms that achieve fast adaptation by guaranteed knowledge transfer, principled methods that measure the vulnerability and improve the robustness of reinforcement learning agents, and ethical models that make fair decisions under distribution shifts.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Furong Huang is an Assistant Professor of the Department of Computer Science at University of Maryland. She works on statistical and trustworthy machine learning, reinforcement learning, graph neural networks, deep learning theory and federated learning with specialization in domain adaptation, algorithmic robustness and fairness. Furong is a recipient of the NSF CRII Award, the MLconf Industry Impact Research Award, the Adobe Faculty Research Award and three JP Morgan Faculty Research Awards. She is a Finalist of AI in Research - AI researcher of the year for Women in AI Awards North America 2022. She received her Ph.D. in electrical engineering and computer science from UC Irvine in 2016, after which she completed postdoctoral positions at Microsoft Research NYC.

    Host: Yan Liu

    Location: Seeley Wintersmith Mudd Memorial Hall (of Philosophy) (MHP) - 101

    Audiences: Everyone Is Invited

    Contact: Department of Computer Science

  • EE599: Causal Learning course: Casual Bandits

    Wed, Oct 12, 2022 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Ali Tajer, Rensselaer Polytechnic Institute

    Talk Title: Causal Bandits

    Abstract: In this talk, we provide an overview of the causal bandit problems. The purpose of causal bandit settings is to formalize theoretically-principled frameworks for the experimental design when the experiments involve an array of parameters that causally affect one another. The key objective of causal bandits is to leverage causal relationships to design effective experiments judiciously. Designing causal bandit algorithms critically hinges on the extent of information available about the (i) causal structure and (ii) the interventional distributions. Based on the availability of information on each of these two dimensions, there are, broadly, four possible model combinations. The existing literature, for the most part, focuses on settings in which the interventional distributions are known (with or without knowing the causal structure). First, we provide an overview of the existing literature on the existing literature. Secondly, motivated by the fact that acquiring the interventional distributions is often infeasible, we address the following question: is it possible to achieve the optimal regret scaling rates without knowing the interventional distributions? We address this question affirmatively in the case of linear structural equation models when the causal structure is known. We discuss the design and performance of algorithms for the frequentist and Bayesian settings.

    Biography: Ali Tajer received the B.Sc. and M.Sc. degrees in Electrical Engineering from Sharif University of Technology in 2002 and 2004, respectively. During 2007-2010 he was with Columbia University, where he received an M.A degree in Statistics and a Ph.D. degree in Electrical Engineering, and during 2010-2012 he was with Princeton University as a Postdoctoral Research Associate. He is currently an Associate Professor of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. His research interests include mathematical statistics, statistical signal processing, and network information theory, with applications in wireless communications and power grids. His recent publications include an edited book entitled Advanced Data Analytics for Power Systems (Cambridge University Press, 2021). He received an NSF CAREER award in 2016 and AFRL Faculty Fellowship in 2019. He is currently serving as an Associate Editor for the IEEE Transaction on Information Theory and an Associate Editor for the IEEE Transactions on Signal Processing. In the past, he has served as an Editor for the IEEE Transactions on Communications, a Guest Editor for the IEEE Signal Processing Magazine, an Editor for the IEEE Transactions on Smart Grid, an Editor for the IET Transactions on Smart Grid, and as a Guest Editor-in-Chief for the IEEE Transactions on Smart Grid -“ Special Issue on Theory of Complex Systems with Applications to Smart Grid Operations.

    Host: Urbashi Mitra; Password for link: 114454

    More Info: https://usc.zoom.us/j/94255391488?pwd=cGoyOVoxWnc3K1RTeVcvYjlWOEJPQT09

    Location: Virtual

    Audiences: Everyone Is Invited

    Contact: Susan Wiedem

    Event Link: https://usc.zoom.us/j/94255391488?pwd=cGoyOVoxWnc3K1RTeVcvYjlWOEJPQT09

  • Computer Science General Faculty Meeting

    Wed, Oct 12, 2022 @ 12:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    Receptions & Special Events

    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

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

    Audiences: Invited Faculty Only

    Contact: Assistant to CS chair

  • Disneyland Resort Facility Asset Management Internship (Virtual)

    Wed, Oct 12, 2022 @ 01:15 PM - 02:15 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    \"We create happiness.\" That\'s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you\'ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never before seen! Facility Asset Management provides construction project management services and long-term facility planning for the Disneyland Resort. Our focus is to maintain the parks, attractions, rides, resorts, roads, retail shops, and restaurants while preserving the overall show quality of the Disneyland Resort. Our world class project management staff manages all aspects of construction projects including design development, contractor bid and award, field management, and close-out. Day-to-day responsibilities include the development of project scopes, schedule preparation, and budget planning for various assigned projects.


    Date: October 12
    Time: 1:15pm - 2:15pm
    Location: Zoom RSVP HERE

    Location: Zoom, please see below for details on how to RSVP

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

  • Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series

    Wed, Oct 12, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Byron Boots, Paul G. Allen School of Computer Science and Engineering at the University of Washington

    Talk Title: Machine Learning for Agile Off-Road Autonomous Driving

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

    Abstract: The main goal of this talk is to illustrate how machine learning can start to address some of the fundamental challenges involved in designing intelligent robots. I\'ll start by discussing off-road driving tasks that require impressive sensing, speed, and agility to complete. I will focus on how machine learning can be combined with prior knowledge and structure to build effective solutions to robotics control problems in this domain. Along the way I\'ll introduce new tools from reinforcement learning and online learning and show how theoretical insights help us to overcome some of the practical challenges involved in learning on real-world platforms.

    Biography: Byron Boots is the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. Byron\'s group performs fundamental and applied research in machine learning, artificial intelligence, and robotics with a focus on developing theory and systems that tightly integrate perception, learning, and control. His work has been applied to a range of problems including localization and mapping, motion planning, robotic manipulation, quadrupedal locomotion, and high-speed navigation. Byron has received several awards including \"Best Paper\" Awards from ICML, AISTATS, RSS, and IJRR. He is also the recipient of the RSS Early Career Award, the DARPA Young Faculty Award, the NSF CAREER Award, and the Outstanding Junior Faculty Research Award from the College of Computing at Georgia Tech. Byron received his PhD from the Machine Learning Department at Carnegie Mellon University

    Host: Somil Bansal, somilban@usc.edu

    Webcast: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09

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

    WebCast Link: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09

    Audiences: Everyone Is Invited

    Contact: Talyia White

  • DEN@Viterbi: How to Apply Virtual Info Session

    Wed, Oct 12, 2022 @ 05:00 PM - 06:00 PM

    DEN@Viterbi, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions

    Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master\'s degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi\'s flexible online DEN@Viterbi delivery method.

    Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session.

    Register Now!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e4e3d569c7512ad5713e4c58db183c094

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

  • SpaceX Trojan Talk (On-Campus, Viterbi)

    Wed, Oct 12, 2022 @ 06:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    SpaceX will be onsite recruiting for full time positions across all engineering disciplines.Wednesday, October 12th, from 6-8 PM
    SGM 101 (RSVP Required)
    RSVP: Viterbi Career Gateway > Event > Information Sessions

    Katya Sutil, F9 Production & Engineering Manager at SpaceX (Viterbi class of 2017 grad) will be speaking. We will have managers from multiple engineering groups recruiting for full time roles across a lot of engineering departments.

    What majors and class levels are you interested in connecting with? Seniors and grad students looking for full time employment in the next year. Mechanical, aerospace, electrical, astronautical engineering majors preferred
    Are you recruiting for internships, full-time, or both? Full time roles
    Can you offer Visa sponsorship? No
    Are you able to hire a student on CPT or OPT? No

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections