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Events for February 16, 2022

  • ECE Seminar - Scalable and Trustworthy Learning for Distributed Intelligence

    Wed, Feb 16, 2022 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Tianyi Chen, Assistant Professor, Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute

    Talk Title: Scalable and Trustworthy Learning for Distributed Intelligence

    Abstract: The past decade has witnessed the revival of artificial intelligence (AI) and machine learning (ML) in almost every branch of science and technology. The "fuel" to AI and ML is supplied by the surge of data and computing power. Today, data and computing power are distributed among wireless devices and companies that we term data owners. Due to the pressing need for data in AI/ML tasks and the increasing concerns on data privacy, a sizeable number of AI/ML tasks will be executed across networked data owners with the vision of distributed intelligence.

    In this talk, I will use federated learning (FL) as an example of distributed intelligence. I will highlight its key challenges when it interacts with wireless networks such as efficiency, privacy, security, and robustness. I will focus on two aspects of scalable and trustworthy FL - efficiency and privacy. From a unified view of information correlation among iterative FL updates, I will elaborate i) how we can leverage such correlation to improve the efficiency of FL; and ii) how such correlation may be leveraged by a malicious third party to risk data privacy. Our methods are simple to implement, and they come with rigorous performance guarantees. I will conclude this talk by highlighting a few directions that I will pursue towards distributed intelligence beyond FL.

    Biography: Tianyi Chen is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI), where he is jointly supported by the RPI - IBM Artificial Intelligence Research Partnership. Dr. Chen received his B. Eng. degree in Electrical Engineering from Fudan University in 2014, and the Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota in 2019. During 2017-2018, he has been a visiting scholar at Harvard University, University of California, Los Angeles, and University of Illinois Urbana-Champaign. Dr. Chen's research focuses on theoretical and algorithmic foundations of optimization, machine learning, and statistical signal processing, with applications in networked computing systems such as wireless and IoT systems.

    Dr. Chen is the inaugural recipient of IEEE Signal Processing Society Best PhD Dissertation Award in 2020 and a recipient of NSF CAREER Award in 2021. He is also the co-author of several best paper awards such as the Best Student Paper Award at the NeurIPS Federated Learning Workshop in 2020 and at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) in 2021.

    Host: Dr. Salman Avestimehr, avestime@usc.edu

    Webcast: https://usc.zoom.us/j/98177654001?pwd=R1h6bUJZUXcxZENZYWtVYmorRVNFQT09

    WebCast Link: https://usc.zoom.us/j/98177654001?pwd=R1h6bUJZUXcxZENZYWtVYmorRVNFQT09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • Amazon Student Programs SDE Career Fair (Virtual)

    Wed, Feb 16, 2022 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Amazon Student Programs SDE Career Fair (Virtual)

    February 16, 202210:00 AM - 12:00 PM PST

    Register here: https://app.brazenconnect.com/a/amazon-student-programs/e/nOV78

    For people who like to invent, there's no better place to explore opportunities than at Amazon!

    Amazon Student Programs is currently looking for interns and full-time software developers (SDEs) to come help build the future with us in 2022. Join us at the Amazon Student Programs SDE Career Fair to learn more.
    Can't wait to meet you! - Amazon Student Programs

    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 participants' 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 Teaching Faculty Meeting

    Wed, Feb 16, 2022 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Faculty meeting for invited full-time Computer Science teaching faculty only. Event details emailed directly to attendees.

    Audiences: Everyone Is Invited

    Contact: Cherie Carter

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  • MathWorks Virtual Company Trek (Virtual)

    Wed, Feb 16, 2022 @ 12:00 PM - 01:45 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    MathWorks, makers of MATLAB and Simulink, invites you to connect virtually on Wednesday, February 16th at 3:00 pm EST.You will engage with MathWorks-community of engineers to learn more about full-time and intern opportunities in our Engineering Development Group (EDG), participate in an interactive workshop on how to prepare for technical interviews, and engage in a panel discussion with current EDG engineers.
    *Register using link below & we will send you link to join event
    https://events.beamery.com/mathworks/mathworks-virtual-company-trek-larger-universities-maexmmqyi
    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 - https://events.beamery.com/mathworks/mathworks-virtual-company-trek-larger-universities-m

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • MS Advanced Design & Construction Technology Information Session

    Wed, Feb 16, 2022 @ 12:00 PM - 01:00 PM

    Sonny Astani Department of Civil and Environmental Engineering, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    *UPDATE: Due to the parade, this event will be virtual only*
    Zoom: https://usc.zoom.us/j/97290388292

    Join Professor David Gerber in an information session about a new Master's program that uses data, technologies, integration, and sustainability to prepare leaders of the built environment. Application for fall still open! All engineering majors welcome.

    More Information: USC MS ADCT Info Session - Feb 16.png

    WebCast Link: https://usc.zoom.us/j/97290388292

    Audiences: Everyone Is Invited

    Contact: Jessica Viterbi Admission & Student Engagement

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  • Virtual Industry Day

    Wed, Feb 16, 2022 @ 02:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    The Viterbi Virtual Industry Day allows employers from different industries and locations to present on their organizations, meet engineering students, and network to fill their roles. This event is exclusively for Viterbi engineering students to meet and learn about employers in a virtual environment.

    Registration details coming soon.

    Location: Virtual (via Hopin)

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

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

    Wed, Feb 16, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Changliu Liu, Robotics Institute, Carnegie Mellon University

    Talk Title: Safe Control and Learning for Effective Human-Robot Collaboration

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

    Abstract: In this talk, I will discuss our recent work on safe control and learning for effective human-robot collaboration. I will first introduce safe control methods using energy-function-based methods, then discuss how to combine them with learning controllers where an explicit analytical dynamic model of the system is usually not available (especially in human-robot systems). These safe control methods will enable safe reinforcement learning with zero training time violation. Then I will discuss about methods to robustly learn models to predict human behaviors. The key challenge we need to address is the distribution shift between the offline collected human behavioral data and the online measured human behaviors. To mitigate the distribution shift, we introduce two methods: online model adaptation, and offline verification-guided data augmentation. These methods have been applied to facilitate human-robot collaboration in industrial assembly tasks. I will conclude the talk with future visions on how to effectively deploy human-robot systems on factory floors.

    Biography: Dr. Changliu Liu is an assistant professor in the Robotics Institute, School of Computer Science, Carnegie Mellon University (CMU), where she leads the Intelligent Control Lab. Prior to joining CMU, Dr. Liu was a postdoc at Stanford Intelligent Systems Laboratory. She received her Ph.D. from University of California at Berkeley and her bachelor's degrees in engineering and economics from Tsinghua University. Her research interests lie in the design and verification of intelligent systems with applications to manufacturing and transportation. She published the book "Designing robot behavior in human-robot interactions" with CRC Press in 2019. She received many best paper awards, Rising Star in EECS, NSF Career Award, Amazon Research Award, and Ford URP Award.

    Host: Pierluigi Nuzzo and Somil Bansal

    Webcast: https://usc.zoom.us/webinar/register/WN_zyIBh_1gQLmKpMJG0GyLxw

    Location: Online

    WebCast Link: https://usc.zoom.us/webinar/register/WN_zyIBh_1gQLmKpMJG0GyLxw

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • AME Seminar

    Wed, Feb 16, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Gustaaf Jacobs, San Diego State University

    Talk Title: Where do flows separate and how does that affect the optimal control location?

    Abstract: Flow separation can degrade performance in many engineering systems, through reduced lift, increased drag, and decreased efficiency. To alleviate the effects of flow separation on aerodynamic performance, active flow control has been considered since the inception of the field of aerodynamics. Open-loop flow control strategies based on various actuator technologies -” such as plasma actuators, fluidic oscillators, and synthetic jets -” have been shown to effectively alter separated flows, and in some cases to even yield complete reattachment. Most analyses start from the placement of an actuator at an intuitively optimal location near the separation point and/or near the Kutta condition. Optimal placement, however, requires a detailed understanding of non-linear flow separation and wake feedback that is often counterintuitive. In this talk, I will discuss recent developments in Lagrangian analysis of flow separation. This kinematic analysis promises the objective identification of separation lines as zero-mass flux "material"' lines whose footprint is analytically defined from first-principle. The separation profiles start with a subtle upwelling of Lagrangian fluid tracers upstream of the separation point. Using a data-driven technique (using DNS data) I will show that these upwelling locations may well point to optimal actuator locations that require minimal control effort.

    Biography: Professor Jacobs received a M.Sc. in Aerospace Engineering from the Delft University of Technology in 1998, where after graduation, he was appointed to a Research Associate. He received a Ph.D. in Mechanical Engineering from the University of Illinois at Chicago. Following graduation in 2003, he was appointed Visiting Assistant Professor in the Division of Applied Mathematics at Brown University. He later combined this position with a Postdoctoral Fellowship at the Department of Mechanical Engineering at the Massachusetts Institute of Technology. As of 2006 he was appointed Assistant Professor of Aerospace Engineering at San Diego State University and was promoted to Associate Professor in 2010 and Full Professor in 2014. In 2001 he received the Provosts Award for Graduate Research at the University of Illinois at Chicago. In 2002, he was awarded a University Fellowship at the University of Illinois. He received an AFOSR Young Investigator Award in 2009. He became an Associate Fellow of AIAA in 2013. The research interests of Professor Jacobs can broadly be defined in the area of computational multiphase, and multiscale flow physics modeling and simulation using high-order methods. Emphasis is on simulation and analysis of particle-laden flows and flow separation in complex geometries, to aid flow control relating to combustion optimization and drag reduction.

    Host: AME Department

    More Info: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

    Webcast: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

    Location: James H. Zumberge Hall Of Science (ZHS) - 252

    WebCast Link: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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