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Events for October 26, 2022

  • Visa Inc. Coffee Chats Day 2!

    Wed, Oct 26, 2022 @ 05:00 AM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Are you interested in talking to a Visa recruiter about what will make your resume stand out?

    Date: Tuesday, October 25th
    Time: 1:00 p.m. - 4:30 p.m. please stop by anytime between this time frame. If the room reaches max capacity, please wait outside or come back at a later time.
    Location: Ronald Tutor Hall (RTH) 211

    Come join a group coffee chat where you can chat with one of Visas University Recruiters about everything ranging from the application process, resume dos and donts, and how to nail your interview!

    This session is open to students interested in technical and non-technical roles who are looking to stand out among the rest in the application process! Come for conversation and coffee, and leave with a new understanding of why youd be a great fit at Visa!

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Repeating EventSix Sigma Green Belt for Process Improvement

    Wed, Oct 26, 2022 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars

    Speaker: TBD, TBD

    Talk Title: Six Sigma Green Belt

    Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).

    Host: Executive Education

    More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/

    Audiences: Registered Attendees

    View All Dates

    Contact: Corporate and Professional Programs

    Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/

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  • Nano Science & Technology seminar - Shaloo Rakheja, Wednesday, Oct. 26th at 10:30am in EEB 248

    Wed, Oct 26, 2022 @ 10:30 AM - 11:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Shaloo Rakheja, University of Illinois at Urbana-Champaign

    Talk Title: Spin dynamics in antiferromagnets and its applications

    Series: Nano Science & Technology

    Abstract: Antiferromagnets (AFM) materials have ordered spin moments that alternate between individual atomic sites, which gives them a vanishing macroscopic magnetic signature and picosecond intrinsic timescale. Traditionally, AFM materials have played a secondary role to ferromagnets, which are used as active elements in commercial spintronic devices like magnetic sensors and non-volatile magnetic memory. However, it was recently suggested that spin transfer torque could in principle be used to manipulate the magnetic order in AFMs, leading to either stable AFM order precessions for their use as high-frequency oscillators, or switching of the AFM order for their use as magnetic memories.
    My presentation will focus on the physics and modeling of electrically driven spin dynamics in thin films of two unique AFMs: Cr2O3, a single-phase magnetoelectric material that can be manipulated solely with electric fields and the Weyl semi-metal Mn3Sn in which spin torque can induce chiral spin rotations. Cr2O3-based ferromagnet-free random access memory has been experimentally demonstrated, while in the case of Mn3Sn, spin torque driven dynamics were found to induce chiral oscillations, from the megahertz to the terahertz frequency range. These materials can overcome the central challenge of manipulating and reading the AFM's order parameter via microelectronics compatible circuitry, thus allowing us to develop antiferromagnetic spintronics along a similar route as ferromagnetic spintronics.
    I will discuss my group's recent work in developing new analytic models and numerical techniques to handle the complex domain dynamics across many length scales and time scales in AFM structures. I will use these models to explain recent experimental findings and bridge the gap between physics and applications development. I will conclude my talk by summarizing the limits, challenges, and opportunities of AFM spintronics for future technologies such as high-density, secure nonvolatile memory, compact narrowband terahertz sources, and spike generators.

    Biography: Shaloo Rakheja is currently an Assistant Professor in the Electrical and Computer Engineering (ECE) department at the University of Illinois at Urbana-Champaign. She is currently leading the Center for Aggressive Scaling by Advanced Processes for Electronics and Photonics (ASAP) -“ an Industry-University Cooperative Research Center, expected to be launched as a Phase 1 Center by the NSF in 2022. Shaloo is an expert in physics-based modeling of nanoelectronic and magnetic devices for energy-efficient computing and communication. She has developed multi-scale models, spanning from first-principles calculations to circuit-compatible implementations, for enabling materials-to-circuits co-design for a wide range of technologically relevant applications.

    Host: J Yang, H Wang, C Zhou, S Cronin, W Wu

    More Info: https://usc.zoom.us/j/99956388667?pwd=UHZ2bEZSY0FuakM5dGFwcU1GcTB2QT09

    More Information: Shaloo Rakheja_10262022.pdf

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

    Event Link: https://usc.zoom.us/j/99956388667?pwd=UHZ2bEZSY0FuakM5dGFwcU1GcTB2QT09

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  • Computer Science General Faculty Meeting

    Wed, Oct 26, 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: TBD - Hybrid

    Audiences: Invited Faculty Only

    Contact: Assistant to CS chair

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  • CS Colloquium: Keith Burghardt (USC ISI) - Utilizing Data Analysis To Reduce AI Biases

    Wed, Oct 26, 2022 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Keith Burghardt, USC ISI

    Talk Title: Utilizing Data Analysis To Reduce AI Biases

    Abstract: Biases are erroneous assumptions about data that can lead artificial intelligence (AI) systems to discriminate, policy makers to make harmful decisions, and data scientists to make conclusions that contradict reality. Biases, however, are often challenging to find or remove because they can be subtle and deeply embedded within data. In this talk, I will discuss how data can inadvertently create biases and present my research that aims to reduce them. I will first show how data can enhance biases, including how computer-human interactions can drive algorithmic ranking systems to erroneous conclusions and how anti-vaccine sentiment and hate speech can become prevalent on social media, which can lead to stereotypes embedded in AI language models. I will then discuss methods that reduce biases by utilizing data analysis. I will show how these methods can improve AI fairness and help researchers better understand how large systems, such as institutions and cities, evolve in time. I will conclude the talk by laying out how this work is a step towards the wider goal of AI risk minimization.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

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    Meeting ID: 934 6444 7234
    Passcode: 475457

    Biography: Burghardt is a Computer Scientist at the USC Information Sciences Institute who specializes in complex science, geospatial analysis, and reducing biases with data analysis. He has papers in journals such as NPJ Computational Materials and Communications Physics, and in conferences, such as ICWSM, ASONAM, and CSCW. Burghardt has been a PI in grants from Amazon and ISI, co-PI in grants from DARPA, and co-organized the Inclusive and Fair Speech Technologies special session at the INTERSPEECH 2022 Conference. Burghardt received a PhD and BS (Magna Cum Laude with High Honors) in Physics at the University of Maryland in 2016 and 2012, respectively.

    Host: Vatsal Sharan

    Audiences: Everyone Is Invited

    Contact: Cherie Carter

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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

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

    Wed, Oct 26, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Samuel Coogan, Georgia Institute of Technology

    Talk Title: Runtime Assurance for Safe Autonomy from Fast, In-the-Loop Reachability

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

    Abstract: In this talk, we show how efficient reachability methods enable runtime assurance (RTA) for safe autonomy. We focus on interconnected and/or high dimensional systems and we leverage reachability techniques enabled by mixed monotone systems theory. Mixed monotonicity decomposes a dynamical system's vector field into cooperative and competitive elements, resulting in a larger dimensional monotone system for which powerful results from monotone systems theory for, e.g., reachability and invariance are applicable. Notably, these methods offer two key properties: they enable reachable set over-approximations that can be computed very fast for, e.g., inclusion at runtime in feedback controllers, and they scale to high dimensional systems such as neural networks. We demonstrate how both of these appealing features enable RTA mechanisms with provable guarantees for learning-enabled control systems.

    Biography: Samuel. Coogan is an associate professor and the Demetrius T. Paris Junior Professor at the Georgia Institute of Technology in the School of Electrical and Computer Engineering and the School of Civil and Environmental Engineering. Prior to joining Georgia Tech in 2017, he was an assistant professor at the University of California, Los Angeles from 2015 to 2017. His research is in the area of dynamical systems and autonomy and focuses on developing scalable tools for verification and control of networked, cyber-physical systems with an emphasis on transportation systems. He received a CAREER Award from the National Science Foundation in 2018, a Young Investigator Award from the Air Force Office of Scientific Research in 2019, and the Donald P Eckman Award from the American Automatic Control Council in 2020.

    Host: Pierluigi Nuzzo, nuzzo@usc.edu

    Webcast: https://usc.zoom.us/webinar/register/WN_ySGInGwKRKKHX7NHJwTk3Q

    Location: Online

    WebCast Link: https://usc.zoom.us/webinar/register/WN_ySGInGwKRKKHX7NHJwTk3Q

    Audiences: Everyone Is Invited

    Contact: Talyia White

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