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Events for April 05, 2021

  • ECE-EP Seminar - Yasser Khan, Monday, April 5th at 9am via Zoom

    Mon, Apr 05, 2021 @ 09:00 AM - 10:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Yasser Khan, Stanford University

    Talk Title: Skin-like, scalable, and accessible wearables for mental health

    Abstract: Worldwide, 615 million people suffer from the common mental disorders of depression and anxiety. Yet, there is no existing technology that accurately and objectively monitors mental health. The obstacles towards mental health care are complex and multi-faceted: social stigma, high cost, and limited or no access to local care - all hinder patients suffering from mental health conditions to seek out and receive help. To address this chronic need, using recent advances in electronic-skin and wearable technologies, we designed a wearable that continuously measures physiological parameters linked to chronic stress and other mental health and wellness conditions, namely, heart rate variability, skin conductance, sweat rate, and the stress hormone, cortisol. We used additive manufacturing and flexible hybrid electronics to make the device scalable and low-cost. Utilizing the sensor data and analytics, we can characterize mental states quantitatively, allowing the capability to prevent and treat mental illness irrespective of the local environment. In this talk, I will demonstrate the first-of-its-kind wearable for mental health and present a multi-part study that combines both user-centered design and engineering-centered data collection to inform future design efforts for mental health wearables. Such wearable devices, in conjunction with mobile technologies, enable the possibility of remote care, which can allow discrete monitoring, potentially circumventing the stigma often associated with mental health treatment. Overall, in this talk, I will discuss engineering innovations in medical devices to address one of the most pressing global health burdens.

    Biography: Yasser Khan is a postdoctoral scholar at Stanford University, advised by Professor Zhenan Bao in Chemical Engineering and Professor Boris Murmann in Electrical Engineering. Yasser completed his Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in Professor Ana Claudia Arias' Group. He received his B.S. and M.S. in Electrical Engineering from the University of Texas at Dallas and King Abdullah University of Science and Technology, respectively. Yasser's research focuses on additive manufacturing and hardware AI to produce skin-like wearables, implantables, and ingestibles. These medical devices are being used for precision health and psychiatry.

    Yasser received the EECS departmental fellowship at UC Berkeley, discovery scholarship and graduate fellowship at KAUST, and academic excellence scholarship at UT Dallas. Yasser published over 40 research publications in the most reputed platforms in the field, which were highlighted by BBC News, Wall Street Journal, NSF News, and attracted over $2 million in research funding.

    Host: ECE-Electrophysics

    More Info: https://usc.zoom.us/j/98606934279?pwd=RU5JczEvM0NnUW1kQnZ2ckJ1N29jUT09

    More Information: Yasser Khan Flyer.pdf

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

    Event Link: https://usc.zoom.us/j/98606934279?pwd=RU5JczEvM0NnUW1kQnZ2ckJ1N29jUT09

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  • Sanmi (Oluwasanmi) Koyejo (University of Illinois at Urbana-Champaign) - The Measurement and Mismeasurement of Trustworthy ML

    Mon, Apr 05, 2021 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Sanmi (Oluwasanmi) Koyejo, University of Illinois at Urbana-Champaign

    Talk Title: The Measurement and Mismeasurement of Trustworthy ML

    Abstract: Across healthcare, science, and engineering, we increasingly employ machine learning (ML) to automate decision-making that, in turn, affects our lives in profound ways. However, ML can fail, with significant and long-lasting consequences. Reliably measuring such failures is the first step towards building robust and trustworthy learning machines. Consider algorithmic fairness, where widely-deployed fairness metrics can exacerbate group disparities and result in discriminatory outcomes. Moreover, existing metrics are often incompatible. Hence, selecting fairness metrics is an open problem. Measurement is also crucial for robustness, particularly in federated learning with error-prone devices. Here, once again, models constructed using well-accepted robustness metrics can fail. Across ML applications, the dire consequences of mismeasurement are a recurring theme. This talk will outline emerging strategies for addressing the measurement gap in ML and how this impacts trustworthiness.

    Biography: Sanmi (Oluwasanmi) Koyejo is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo's research interests are in developing the principles and practice of trustworthy machine learning. Additionally, Koyejo focuses on applications to neuroscience and healthcare. Koyejo completed his Ph.D. in Electrical Engineering at the University of Texas at Austin, advised by Joydeep Ghosh, and completed postdoctoral research at Stanford University. His postdoctoral research was primarily with Russell A. Poldrack and Pradeep Ravikumar. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence (UAI), a Sloan Fellowship, a Kavli Fellowship, an IJCAI early career spotlight, and a trainee award from the Organization for Human Brain Mapping (OHBM). Koyejo serves on the board of the Black in AI organization.

    Host: Fei Sha

    Audiences: By invitation only.

    Contact: Assistant to CS chair

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  • Repeating EventKCLC Online Drop-In

    Mon, Apr 05, 2021 @ 01:00 PM - 03:00 PM

    Information Technology Program (ITP)

    Workshops & Infosessions

    KCLC Online Drop-In

    The mission of the Kortschak Center for Learning and Creativity (KCLC) is to apply and engage in research and training to serve individuals with diverse learning needs and to empower students to reach their full academic and creative potential.

    All students welcome! No RSVP needed!

    WebCast Link: https://usc.zoom.us/j/92571867937

    Audiences: Everyone Is Invited

    View All Dates

    Contact: KCLC

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  • External Event | Apple Career Week: Tell your story

    Mon, Apr 05, 2021 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar

    *This is an external event hosted by Apple for Mechanical Engineering and Materials Science students*

    The University Recruiting team at Apple is hosting a series of online events focused on engaging and hiring students. Each day will have a different focus to allow your students to understand the Apple hiring process along with sharing their own personal stories with the team.

    Day 2: Tell Your Story

    How to use an engineering portfolio as a tool for engaging conversation. The workshop will focus on how to convert resume content into an engineering/design portfolio to help students stand out from other candidates during career events.

    The event will be hosted on the Hallo platform.

    To RSVP: Viterbi Career Gateway > Events > Information Sessions

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Race, Robotics and Civil Rights

    Race, Robotics and Civil Rights

    Mon, Apr 05, 2021 @ 03:00 PM - 04:00 PM

    USC Viterbi School of Engineering, Viterbi School of Engineering K-12 STEM Center

    University Calendar

    Robotics researchers increasingly consider the racialized impacts and experiences of communities of color in the burgeoning fields of robotics and robotics technology. The panelists discuss the relevant civil rights implications and offer recommendations on centering equity in technology development and use. Co-sponsored by USC Race and Equity Center.

    Panelists: Prof. Chad Jenkins (U Michigan), Prof. Maja Mataric' (USC Viterbi), Prof. Kendrick Davis (USC Race and Equity Center)

    Register for the Webinar here: https://tinyurl.com/USC-Race-Robotics

    More Information: RaceRoboticsCivil Rights-FINAL.pdf

    Location: Register for Webinar

    Audiences: Everyone Is Invited

    Contact: Katie Mills

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  • External Event | Getting to Know Bain: Our Retail Strategy

    Mon, Apr 05, 2021 @ 05:00 PM - 06:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar

    *This is an external event hosted by Bain & Company*

    Join Alec Levonyak and Dan Brenner, senior leaders in our Seattle office, to learn more about our retail strategy. This ebinar is intended for undergraduates interested in our ACI (Associate Consultant Internship) and AC (Associate Consultant) programs.

    Please note: registration will be closed an hour before the event. Please sign up prior to this time if you are interested in attending. The link to join will be distributed to registrants the day of the event.

    To RSVP: Viterbi Career Gateway > Events > Information Sessions

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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