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Events for March 01, 2022

  • ECE Seminar: Protecting User Security and Privacy in Emerging Computing Platforms

    Tue, Mar 01, 2022 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Yuan Tian, Assistant Professor, Department of Computer Science, University of Virginia

    Talk Title: Protecting User Security and Privacy in Emerging Computing Platforms

    Abstract: Computing is undergoing a significant shift. First, the explosive growth of the Internet of Things (IoT) enables users to interact with computing systems and physical environments in novel ways through perceptual interfaces (e.g., microphones and cameras). Second, machine learning algorithms collect huge amounts of data and make critical decisions on new computing systems. While these trends bring unprecedented functionality, they also drastically increase the number of untrusted algorithms, implementations, interfaces, and the amount of private data processed by them, endangering user security and privacy. To regulate these security and privacy issues, privacy regulations such as GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act) went into effect. However, there is a huge gap between the desired high-level security/privacy/ethical properties (from regulations, specifications, users' expectations) and low-level real implementations.

    To bridge the gap, my work aims to change how platform architects design secure systems, assist developers by detecting security and privacy violation of implementations and build usable and scalable privacy-preserving systems. In this talk, I will present how my group designs principled solutions to ensure modern and emerging computing platforms' security and privacy. In this talk, I will introduce two developer tools we build to detect security and privacy violations. Using the tools, we found large numbers of policy violations in healthcare voice applications and security property violations in IoT messaging protocol implementations. Additionally, I will discuss our recent work on scalable privacy-preserving machine learning.

    Biography: Yuan Tian is an Assistant Professor of Computer Science at the University of Virginia. Before joining UVA, she obtained her Ph.D. from Carnegie Mellon University in 2017 and interned at Microsoft Research, Facebook, and Samsung Research. Her research interests involve security and privacy and its interactions with computer systems, machine learning, and human-computer interaction. Her current research focuses on developing new computing platforms with strong security and privacy features, particularly in the Internet of Things and mobile systems. Her work has real-world impacts as countermeasures and design changes have been integrated into platforms (such as Android, Chrome, Azure, and iOS), and also impacted the security recommendations of standard organizations such as the Internet Engineering Task Force (IETF). She is a recipient of Google Research Scholar Award 2021, Facebook Research Award 2021, NSF CAREER award 2020, NSF CRII award 2019, Amazon AI Faculty Fellowship 2019, CSAW Best Security Paper Award 2019, and Rising Stars in EECS 2016. Her research has appeared in top-tier venues in security, machine learning, and systems. Her projects have been covered by media outlets such as IEEE Spectrum, Forbes, Fortune, Wired, and Telegraph.

    Host: Host: Dr. Konstantinos Psounis, kpsounis@usc.edu

    Webcast: https://usc.zoom.us/j/97735008231?pwd=WEJCcDJpdnZsaEZxczA0SEtaKzBJdz09

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

    WebCast Link: https://usc.zoom.us/j/97735008231?pwd=WEJCcDJpdnZsaEZxczA0SEtaKzBJdz09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • CS Colloquium: Oded Stein (MIT) - Mathematical Foundations of Robust Geometry and Fabrication

    Tue, Mar 01, 2022 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Oded Stein, MIT

    Talk Title: Mathematical Foundations of Robust Geometry and Fabrication

    Series: CS Colloquium

    Abstract: Current geometry methods for creating and manipulating shapes on computers can sometimes be unreliable and fail unpredictably. Such failures make geometry tools hard to use, prevent non-experts from creating geometry on their computers, and limit the use of geometry methods in domains where reliability is critical. We will discuss my recent efforts in proving when existing methods work as intended, my work in making methods more robust to imperfect input, my work in the creation of new reliable tools with mathematical guarantees, and my future efforts towards a reliable geometry pipeline.
    When used for computational fabrication, geometry methods can be expensive, finicky, and require a controlled environment. I will show how simple and economical manufacturing techniques can be used for computational fabrication by exploiting the geometric constraints inherent in specific materials and fabrication methods. We will take a look at how I create geometric tools to design for constrained fabrication techniques, and discuss how computational fabrication can be made both economical as well as accessible in difficult environments.

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Biography: Oded Stein is a postdoc at MIT at the geometric data processing group. He obtained his MSc from ETH Zurich in 2015, and his PhD from Columbia University in 2020.
    Oded is interested in geometry, computer graphics, and applied mathematics. He works on smoothness energies, partial differential equations, discretization of geometric quantities, and their applications to computer graphics and digital fabrication.


    Host: Jernej Barbic

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: By invitation only.

    Contact: Assistant to CS chair

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  • Learn about a career with USPS!

    Tue, Mar 01, 2022 @ 12:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Date: March 1st
    Time: 12-2 pm
    Location: RSVP on Zoom https://usc.zoom.us/meeting/register/tJEudOGurj8tH9Z2nR8dl5nCSHE82lJQYZtg

    We are Now Hiring OIE's for our Recent Grads and Upcoming Grads. Please click short video link below to see our Engineers "keeping it lean" projects and initiatives:
    https://youtu.be/I2tmU9rwtPo

    -Industrial Engineers
    -Mechanical Engineers
    -Computer Engineering
    -Systems Engineering

    Apply by March 14 at: usps.com/careers (search keyword: TRAINEE)
    Learn more:
    https://about.usps.com/careers/career-opportunities/students-graduates.htm

    Location: Virtual

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Learn What It Takes to Stand Out: Apple Workshop

    Tue, Mar 01, 2022 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Register now: RSVP in Gateway

    Come hear from the Apple team. Get some tips and best practices for sharing your career story, creating your resume, learning how to network effectively, and interviewing with confidence.

    External employer-hosted events and activities are not affiliated with the USC Career Center. 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 participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu.

    Location: Virtual

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • CS Colloquium: Amy Ousterhout (UC Berkeley) - Optimizing CPU Efficiency and Tail Latency in Datacenters

    Tue, Mar 01, 2022 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Amy Ousterhout , UC Berkeley

    Talk Title: Optimizing CPU Efficiency and Tail Latency in Datacenters

    Series: CS Colloquium

    Abstract: The slowing of Moore's Law and increased concerns about the environmental impacts of computing are exerting pressure on datacenter operators to use resources such as CPUs and memory more efficiently. However, it is difficult to improve efficiency without degrading the performance of applications.

    In this talk, I will focus on CPU efficiency and how we can increase efficiency while maintaining low tail latency for applications. The key innovation is to reallocate cores between applications on the same server very quickly, every few microseconds. First I will describe Shenango, a system design that makes such frequent core reallocations possible. Then I will show how policy choices for core reallocation and load balancing impact CPU efficiency and tail latency, and present the policies that yield the best combination of both.

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Biography: Amy is a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. She received her PhD in Computer Science from MIT and her BSE in Computer Science from Princeton University. Her research is on operating systems and distributed systems, and focuses on improving the efficiency, performance, and usability of applications in datacenters. She is a recipient of a Jacobs Presidential Fellowship at MIT, an NSF Graduate Research Fellowship, and a Hertz Foundation Fellowship.

    Host: Barath Raghavan

    Audiences: By invitation only.

    Contact: Assistant to CS chair

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  • ISE 651 Epstein Seminar

    Tue, Mar 01, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Albert Shih, Professor, Dept of Mechanical Engineering, University of Michigan

    Talk Title: TBD

    Host: Prof. Yong Chen and Prof. Qiang Huang

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Evaluating & Negotiating Job Offers Workshop (ON-CAMPUS)

    Tue, Mar 01, 2022 @ 04:00 PM - 04:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED IN-PERSON, ON-CAMPUS

    Consider best practices on evaluating and negotiating job or internship offers by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.

    For more information about workshops, please visit viterbicareers.usc.edu/workshops.

    Attendance is limited to room capacity

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Mork Family Department Seminar - Thi Vo

    Tue, Mar 01, 2022 @ 04:00 PM - 05:15 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Thi Vo, University of Michigan

    Talk Title: First Principles Driven Materials Design: From Building Blocks to Superlattices

    Host: Professor A.Hodge

    Location: Social Sciences Building (SOS) - B46

    Audiences: Everyone Is Invited

    Contact: Heather Alexander

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  • CS Colloquium: Dmitry Berenson (University of Michigan) - Learning Where to Trust Unreliable Dynamics Models for Motion Planning and Manipulation

    Tue, Mar 01, 2022 @ 04:15 PM - 05:20 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dmitry Berenson, University of Michigan

    Talk Title: Learning Where to Trust Unreliable Dynamics Models for Motion Planning and Manipulation

    Series: Computer Science Colloquium

    Abstract: **New time: 4:15pm-5:20pm, SGM 124**

    The world outside our labs seldom conforms to the assumptions of our models. This is especially true for dynamics models used in control and motion planning for complex high-DOF systems like deformable objects. We must develop better models, but we must also accept that, no matter how powerful our simulators or how big our datasets, our models will sometimes be wrong. This talk will present our recent work on using unreliable dynamics models for motion planning and manipulation. Given a dynamics model, our methods learn where that model can be trusted given either batch data or online experience. These approaches allow imperfect dynamics models to be useful for a wide range of tasks in novel scenarios, while requiring much less data than baseline methods. This data-efficiency is a key requirement for scalable and flexible motion planning and manipulation capabilities.

    Prof. Dmitry Berenson will give his 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_prfowdXjR7iOn1mPLTnXog

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

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Dmitry Berenson is an Associate Professor in Electrical Engineering and Computer Science and the Robotics Institute at the University of Michigan, where he has been since 2016. Before coming to University of Michigan, he was an Assistant Professor at WPI (2012-2016). He received a BS in Electrical Engineering from Cornell University in 2005 and received his Ph.D. degree from the Robotics Institute at Carnegie Mellon University in 2011, where he was supported by an Intel PhD Fellowship. He was also a post-doc at UC Berkeley (2011-2012). He has received the IEEE RAS Early Career Award and the NSF CAREER award. His current research focuses on robotic manipulation, robot learning, and motion planning.


    Host: Stefanos Nikolaidis

    Webcast: https://usc.zoom.us/webinar/register/WN_prfowdXjR7iOn1mPLTnXog

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

    WebCast Link: https://usc.zoom.us/webinar/register/WN_prfowdXjR7iOn1mPLTnXog

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • Application and Interview Success, Hosted by Disney Industrial Engineers (On-Campus)

    Tue, Mar 01, 2022 @ 05:30 PM - 06:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Want to land an internship or full-time position with Industrial Engineering at Disney Parks? It all starts with the strength of your resume and your performance in the interview process. Learn resume and interviewing tips from Disney Industrial Engineers and USC alumni. Your course work and area of study should be analytical or business-focused to be successful, but you don't have to be an Industrial Engineering major to apply for IE internships at Disney.

    Location: RSVP in Viterbi Career Gateway

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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