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Events for the 2nd week of April

  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Mon, Apr 04, 2022 @ 09:00 AM - 09:30 AM

    Computer Science

    Student Activity


    If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/

    Audiences: Undergrad

    View All Dates

    Contact: USC Computer Science

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  • Circle Hackathon (Virtual)

    Mon, Apr 04, 2022 @ 09:00 AM - 06:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Circle is proud to host this exciting, month-long virtual Hackathon, which aims to bring the greatest minds together. Link: https://circle.hackerearth.com/
    PRIZES
    Grand Prize!
    $20,000 USDC + free ticket to future Circle conference!
    Prize in Each Theme (12)
    1st Prize: $10,000 USDC
    2st Prize: $7,500 USDC
    3st Prize: $5,000 USDC
    THEMES
    Payments
    Circle's Payments API has re-imagined processing payments to accept global payments across traditional and blockchain rails in one powerful integration. Open up new markets and drive down costs to your business with payments infrastructure powered by USDC.
    DeFi
    Decentralized finance (DeFi) is an emerging financial technology based on secure distributed ledgers similar to those used by cryptocurrencies. USDC is the most popular dollar digital asset to access the Web3 world. Our APIs provide easy access to USDC for your DeFi applications.
    Trusted Blockchain Apps
    Throughout Web3 history, the absence of a robust, open-source standard for sharing and verifying online identity has created many challenges for developers and end-users alike. Circle is a launch partner and key contributor to Web3 identity service Verite, which presents an open, shared, interoperable architecture for identity and trust in the global crypto financial ecosystem. With Verite, credentials can be issued and used to prove identity claims for an unbounded number of use cases, including KYC verification, accredited investor status, social reputation, NFT provenance tracking and more- without the need for participants to disclose personal data.
    All Things USDC
    Web3 is a place that embraces innovation, we would love to see your imagination go beyond the above areas. Any ideas that expand the current use cases of USDC is welcomed. (eg. Gaming, NFT & DAOs, etc)
    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 participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu

    Location: Virtual. RSVP Link in the event description.

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    OutlookiCal
  • CS Colloquium: Paul Schmitt (USC ISI) - Networked Systems for a Modern, Private Internet

    Mon, Apr 04, 2022 @ 10:00 AM - 11:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Paul Schmitt, USC ISI

    Talk Title: Networked Systems for a Modern, Private Internet

    Abstract: Users expect that the networks and protocols they use protect their privacy. Unfortunately, many ubiquitous legacy systems have significant privacy flaws. Network operators face a different challenge: widespread adoption of encryption, while a clear benefit to users, reduces operator visibility into traffic flowing through their networks. In this talk, I discuss networked systems to enhance user privacy and systems and techniques for privacy-preserving network traffic analysis. I describe my research that leverages key architectural points of decoupling to enhance privacy in the global DNS ecosystem and in mobile networks. I then discuss systems I have built for privacy-preserving network analysis for use by network operators to gain insight into network usage and performance, all without breaking encryption.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Paul Schmitt is a research computer scientist at ISI. His research areas include networked systems, privacy, network traffic inference and analysis, and scalable Internet measurement. His work takes a dirty-slate approach to networked systems research, allowing for compatibility and immediate deployability in current environments. He previously received his PhD from UC Santa Barbara in 2017 and was an associate research scholar at Princeton University.

    Host: John Heidemann

    Audiences: Everyone Is Invited

    Contact: Cherie Carter

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  • CAIS Seminar: David Eddie (Massachusetts General Hospital) - Towards a biosensor-driven, just-in-time relapse prevention tool for substance use disorder: Identifying neurocardiac biomarkers of stress and relapse risk

    Mon, Apr 04, 2022 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: David Eddie, Massachusetts General Hospital

    Talk Title: Towards a biosensor-driven, just-in-time relapse prevention tool for substance use disorder: Identifying neurocardiac biomarkers of stress and relapse risk

    Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series

    Abstract: Substance use disorders carry tremendous personal and societal costs, and despite best patient and clinical efforts, relapse is common. Much research has sought to identify psychosocial risk factors for addiction relapse, but much less attention has been paid to how psychophysiological impairment may confer risk. In this talk, I will highlight how stress and central autonomic network dysregulation reflected by reduced heart rate variability (HRV) may heighten risk for individuals in early alcohol use disorder (AUD) recovery, showing that HRV can be used to predict subsequent alcohol use. I will also show preliminary findings from a study that aims to use smartwatches and machine learning to identify stress states, with the goal of developing a just-in-time relapse prevention tool for individuals in early recovery from substance use disorder.

    Register in advance for this webinar at:
    https://usc.zoom.us/webinar/register/WN_Hcft0t87RQqrca66W5c8ug

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

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: David Eddie, Ph.D. is a research scientist at Massachusetts General Hospital's Recovery Research Institute and Center for Addiction Medicine, a clinical psychologist in Massachusetts General Hospital's Department of Psychiatry, and an assistant professor at Harvard Medical School. His current projects include an NIAAA supported study developing a biosensor driven just-in-time intervention for substance use disorders, and a NIDA supported project assessing the efficacy of a novel mutual-help addiction recovery program based on physical activity.


    Host: USC Center for Artificial Intelligence in Society (CAIS)

    Webcast: https://usc.zoom.us/webinar/register/WN_Hcft0t87RQqrca66W5c8ug

    Location: Online - Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/WN_Hcft0t87RQqrca66W5c8ug

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

    OutlookiCal
  • Admitted Student Explore USC #1

    Mon, Apr 04, 2022 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    We are thrilled to finally be able to meet you on campus at one of our admitted student events. During the month of April, we have seven weekday events (each called Explore USC), as well as one full-day program (called Admitted Students Day) which is scheduled for a Sunday. Please only register for one event, either an Explore USC event during the week, or the Admitted Students Day on the weekend.

    Explore USC includes a Viterbi School overview, Faculty discussion from your major, lab/facility tour, lunch, and many opportunities to engage with current students.


    Register here!

    Audiences: Everyone Is Invited

    Contact: Viterbi Admission

    OutlookiCal
  • Meet Visa: Crypto Development Program (Virtual)

    Mon, Apr 04, 2022 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Meet Visa: Crypto Development Program (Virtual)

    April 4th - 5-6 pm

    RSVP HERE: https://www.wayup.com/i-Technology-j-Meet-Visa-Crypto-Development-Program-4-4-Visa-863789502433861/?utm_source=direct&utm_medium=vepromotion&utm_campaign=Visa&refer=visref_VE-Crypto-Development-Program-April-28181017

    Join Cuy Sheffield (VP Crypto at Visa) and Alex Chiang (Sr. Manager, Crypto Strategy) for a discussion on Visa's Crypto Development Program opportunity, learn about exciting opportunities and programs in crypto, and tips to prepare for a career in crypto!

    The Crypto Development Program is an 18-month rotational development experience designed to build a fully fluent cryptocurrency team now and for the future. You will enjoy three distinct business rotations that provide you with practical experience of different areas within the emerging cryptocurrency ecosystem at Visa. These are Crypto Product, Crypto Solutions, and Digital Partnerships. The program supports Visa's mission to build a strong entry level pipeline of talent with deep subject matter expertise in the Crypto space. In addition to meaningful rotations, Associates are given training & development, mentoring, networking and leadership exposure.
    Can't wait to see you there!
    (Please note: In order to qualify, candidates must currently be completing a Bachelor's degree program and graduate between December 2021 - August 2022. Permanent authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.)

    About Us
    Visa is a payments technology company. The beating heart of our company is VisaNet, our global processing network that enables digital payments to happen securely and reliably in the blink of an eye. Our mission is to connect the world through the most innovative, reliable and secure payments network-enabling individuals, businesses and economies to thrive.




    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 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

    OutlookiCal
  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Tue, Apr 05, 2022 @ 09:00 AM - 09:30 AM

    Computer Science

    Student Activity


    If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/

    Audiences: Undergrad

    View All Dates

    Contact: USC Computer Science

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  • CS Colloquium: Suguman Bansal (University of Pennsylvania) - Specification-Guided Policy Synthesis

    Tue, Apr 05, 2022 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Suguman Bansal , University of Pennsylvania

    Talk Title: Specification-Guided Policy Synthesis

    Series: CS Colloquium

    Abstract: Policy synthesis or algorithms to design policies for computational systems is one of the fundamental problems in computer science. Standing on the shoulders of simplified yet concise task-specification using high-level logical specification languages, this talk will cover synthesis algorithms using two contrasting approaches. First, the classical logic-based approach of reactive synthesis; Second, the modern learning-based approach of reinforcement learning. This talk will cover our scalable and efficient state-of-the-art algorithms for synthesis from high-level specifications using both these approaches, and investigate whether formal guarantees are possible. We will conclude with a forward-looking view of these contributions to trustworthy AI.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Suguman Bansal is an NSF/CRA Computing Innovation Postdoctoral Fellow at the University of Pennsylvania, mentored by Prof. Rajeev Alur. Her primary area of research is Formal Methods and Programming Langauge, and her secondary area of research is Artificial Intelligence.

    https://suguman.github.io/

    Host: Mukund Raghothaman

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: By invitation only.

    Contact: Assistant to CS chair

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  • Repeating EventVirtual First-Year Admission Information Session

    Tue, Apr 05, 2022 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here!



    Audiences: Everyone Is Invited

    View All Dates

    Contact: Viterbi Admission

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  • CS Colloquium: Daniel Grier (University of Waterloo) - The Complexity of Near-Term Quantum Computers

    Tue, Apr 05, 2022 @ 02:00 PM - 03:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Daniel Grier, University of Waterloo

    Talk Title: The Complexity of Near-Term Quantum Computers

    Series: CS Colloquium

    Abstract: Quantum computing is at an exciting moment in its history, with some high-profile experimental successes in building programmable quantum devices. That said, these quantum devices (at least in the near term) will be restricted in several ways, raising questions about their power relative to classical computers. In this talk, I will present three results which give us a better understanding of these near-term quantum devices, revealing key features which make them superior to their classical counterparts.

    First, I will show that constant-depth quantum circuits can solve problems that cannot be solved by any constant-depth classical circuit consisting of AND, OR, NOT, and PARITY gates---giving the largest-known unconditional separation between natural classes of quantum and classical circuits. Second, I will show that these quantum circuits can nevertheless be simulated quickly by classical algorithms that have no depth restriction, emphasizing the role that depth plays in provable quantum advantage. Finally, I will address some of the experimental challenges in implementing linear optical quantum computers, and I will prove that they outperform classical computers using standard conjectures but in more practical experimental regimes.


    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Daniel is a postdoctoral researcher at the Institute for Quantum Computing at the University of Waterloo. He received his PhD in Computer Science at MIT, where he was advised by Scott Aaronson and was supported by an NSF Graduate Research Fellowship. His research lies at the intersection of complexity theory and quantum computing, with a particular focus on the power of near-term quantum computing devices.

    Host: Ramesh Govindan

    Location: online only

    Audiences: By invitation only.

    Contact: Assistant to CS chair

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  • ISE 651 Epstein Seminar

    Tue, Apr 05, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Timothy C. Y. Chan, Professor, Dept. of Mechanical & Industrial Engineering, University of Toronto

    Talk Title: An Inverse Optimization Approach to Measuring Clinical Pathway Concordance

    Host: Prof. Suvrajeet Sen

    More Information: April 5, 2022.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

    OutlookiCal
  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Wed, Apr 06, 2022 @ 09:00 AM - 09:30 AM

    Computer Science

    Student Activity


    If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/

    Audiences: Undergrad

    View All Dates

    Contact: USC Computer Science

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

    Wed, Apr 06, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Aaron Johnson, Mechanical Engineering at Carnegie Mellon University

    Talk Title: The Trouble with Contact: State Estimation and Control Generation for Discontinuous Systems

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

    Abstract: Contact with the outside world is challenging for robots due to its inherently discontinuous nature -- when a foot or hand is touching a surface the forces are completely different than if it is just above the surface. However, most of our computational and analytic tools for planning, learning, and control assume continuous (if not smooth or even linear) systems. Simple models of contact make assumptions (like plasticity and coulomb friction) that are known to not only be wrong physically but also inconsistent. In this talk I will present techniques for overcoming these challenges in order to adapt smooth methods to systems that have changing contact conditions. In particular I will focus on two topics: First, I will present the "Salted Kalman Filter" for state estimation over hybrid systems. Second, I will show a few techniques for generating new controllers with changing contact conditions, using both higher-order direct collocation and hybrid iLQR.

    Biography: Prof. Johnson is an Assistant Professor in Mechanical Engineering at Carnegie Mellon University, working on legged robots, adaptive controls, contact-rich manipulation, physics based planning & learning, and terrain manipulation as director of the Robomechanics Lab. Previously, his postdoc focused on convergent manipulation planning algorithms in the Personal Robotics Lab at Carnegie Mellon University. He received his PhD in 2014 on self-manipulation and dynamic behaviors on legged robots (among other things) in Kod*lab at the University of Pennsylvania. He is the recipient of the NSF Career award, the ARO Young Investigator Award, and the CMU George Tallman Ladd Research Award.

    Host: Pierluigi Nuzzo and Feifei Qian

    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

    OutlookiCal
  • AME Seminar

    Wed, Apr 06, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Shreyas Mandre, University of Warwick, UK

    Talk Title: Functional interpretation for transverse arches of human foot

    Abstract: Fossil record indicates that the emergence of arches in human ancestral feet coincided with a transition from an arboreal to a terrestrial lifestyle. Propulsive forces exerted during walking and running load the foot under bending, which is distinct from those experienced during arboreal locomotion. I will present mathematical models with varying levels of detail to illustrate a simple function of the transverse arch. Just as we curve a dollar bill in the transverse direction to stiffen it while inserting it in a vending machine, the transverse arch of the human foot stiffens it for bending deformations. A fundamental interplay of geometry and mechanics underlies this stiffening -- curvature couples the soft out-of-plane bending mode to the stiff in-plane stretching deformation. In addition to presenting a functional interpretation of the transverse arch of the foot, this study also indicates a classification of flat feet based on the skeletal geometry and mechanics.

    Biography: Mandre is an applied mathematician, an engineer, and a scientist. Before moving to Warwick, he served as an Assistant Professor in the School of Engineering at Brown University from 2010 to 2019. He was also a Lecturer in Applied Mathematics at Harvard University. He received my Ph.D. in Mathematics from the University of British Columbia in 2006. His undergraduate education was in Mechanical Engineering from the Indian Institute of Technology Bombay followed by an M.S. from Northwestern University in the same subject. His research spans continuum mechanics, biomechanics, and applied mathematics, with applications to biology and engineering.



    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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  • McKinsey & Company Info Session – Generalist Consultant (Virtual)

    Wed, Apr 06, 2022 @ 07:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Join us for an information session to learn more about who we are, what we do, and the broad range of opportunities at McKinsey & Company! Please register for the event here:
    https://mckinsey.avature.net/events/Rsvp/?folderId=62472
    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 participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu

    Location: RSVP in Viterbi Career Gateway

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    OutlookiCal
  • AUCA Spring 2022 Career Fair: Technology Session Industrial Sharing Workshops and Employer Recruitment Talks (Virtual)

    Thu, Apr 07, 2022 @ 05:30 AM - 07:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Location: Zoom | Length: 2 hrs/ session (2-4 employers/session)
    Highlights:
    -> Learn in-depth industry knowledge and skills through workshop topics featuring a variety of industries
    -> Discover different career tracks in certain industries and learn how to land a job
    -> Speak to certain employer representatives directly in a 30-minute virtual employer talk in separate Zoom breakout rooms after the workshop, and share your resume!
    RSVP Link: http://aucaevents.mikecrm.com/cDdwTCP
    *Spots are limited. Please register at your earliest convenience.
    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 participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu

    Location: RSVP in Viterbi Career Gateway

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    OutlookiCal
  • McKinsey & Company Info Session – Specialized Roles (Virtual)

    Thu, Apr 07, 2022 @ 07:00 AM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Join us for an information session to learn more about who we are, what we do, and the broad range of opportunities at McKinsey & Company! Please register for the event here:
    https://mckinsey.avature.net/events/Rsvp/?folderId=62474
    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 participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu

    Location: RSVP in Viterbi Career Gateway

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    OutlookiCal
  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Thu, Apr 07, 2022 @ 09:00 AM - 09:30 AM

    Computer Science

    Student Activity


    If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/

    Audiences: Undergrad

    View All Dates

    Contact: USC Computer Science

    OutlookiCal
  • Admitted Student Explore USC #2

    Thu, Apr 07, 2022 @ 09:00 AM - 02:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    We are thrilled to finally be able to meet you on campus at one of our admitted student events. During the month of April, we have seven weekday events (each called Explore USC), as well as one full-day program (called Admitted Students Day) which is scheduled for a Sunday. Please only register for one event, either an Explore USC event during the week, or the Admitted Students Day on the weekend.

    Explore USC includes a Viterbi School overview, Faculty discussion from your major, lab/facility tour, lunch, and many opportunities to engage with current students.


    Register here!

    Audiences: Everyone Is Invited

    Contact: Viterbi Admission

    OutlookiCal
  • CS Colloquium: Geoff Pleiss (Columbia University) - Bridging the Gap Between Deep Learning and Probabilistic Modeling

    Thu, Apr 07, 2022 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Geoff Pleiss , Columbia University

    Talk Title: Bridging the Gap Between Deep Learning and Probabilistic Modeling

    Series: CS Colloquium

    Abstract: Deep learning excels with large-scale unstructured data - common across many modern application domains - while probabilistic modeling offers the ability to encode prior knowledge and quantify uncertainty - necessary for safety-critical applications and downstream decision-making tasks. I will discuss examples from my research that bridge the gap between these two learning paradigms. The first half will show that insights from deep learning can improve the practicality of probabilistic models. I will discuss work that scales Gaussian process regression, a common probabilistic model, to datasets two orders of magnitude larger than previously reported. The second half will show that probabilistic methods can improve our understanding of deep learning. I will demonstrate that Gaussian process theory uncovers new insights about the effects of width and depth in neural networks. I will conclude with ongoing efforts to quantify neural network uncertainty, develop new inductive biases, and other work at the intersection of deep learning and probabilistic modeling.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Geoff Pleiss is a postdoctoral researcher at Columbia University, hosted by John Cunningham, with affiliations in the Department of Statistics and the Zuckerman Institute. He obtained his Ph.D. in Computer Science from Cornell University, advised by Kilian Weinberger, and his B.Sc. from Olin College of Engineering. His research interests are broadly situated in machine learning, including neural networks, Gaussian processes, uncertainty quantification, and scalability. Geoff is also the co-founder and maintainer of the GPyTorch software framework.

    Host: Robin Jia

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: By invitation only.

    Contact: Assistant to CS chair

    OutlookiCal
  • Repeating EventVirtual First-Year Admission Information Session

    Thu, Apr 07, 2022 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here!



    Audiences: Everyone Is Invited

    View All Dates

    Contact: Viterbi Admission

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  • Astani Civil and Environmental Engineering Seminar

    Thu, Apr 07, 2022 @ 12:30 PM - 01:30 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Jiaqi Ma, Assoc Director, UCLA Institute of Transportation Studies, University of California, Los Angeles

    Talk Title: OpenCDA: An Open Cooperative Driving Automation Research Framework

    Abstract: This presentation introduces OpenCDA, an open co-simulation-based research engineering framework integrated with prototype cooperative driving automation (CDA, SAE J3216) pipelines that contains perception, localization, planning, control, and V2X communication modules. The purpose of the framework is to take an integrated approach to CDA research that considers closed-loop autonomy to investigate the performance of automated driving components driven by conventional and AI algorithms and their impacts on resultant vehicular and traffic behavior under various environments. It not only enables CDA studies in a CARLA -SUMO co-simulation environment but also provides rich research pipelines (i.e., open-source codes for basic and advanced CDA modules) and training-testing datasets. It supports various levels and categories of information sharing and cooperation between automated vehicles in simulation testing. OpenCDA also offers benchmark testing scenarios, baseline maps, state-of-the-art benchmark algorithms, and selected evaluation metrics. Two recent research on cooperative perception (i.e., OpenCOOD) and cooperative vehicle platooning are discussed to show how OpenCDA enables cutting-edge CDA research.




    Biography: Dr. Jiaqi Ma is an Associate Professor at the UCLA Samueli School of Engineering and Associate Director UCLA Institute of Transportation Studies. He has led and managed many research projects funded by U.S. DOT, NSF, state DOTs, and other federal/state/local programs covering areas of smart transportation systems, such as vehicle-highway automation, Intelligent Transportation Systems (ITS), connected vehicles, shared mobility, and large-scale smart system modeling and simulation, and artificial intelligence and advanced computing applications in transportation. He is an Associate Editor of the IEEE Open Journal of Intelligent Transportation Systems and Journal of Intelligent Transportation Systems. He is Member of the Transportation Research Board (TRB) Standing Committee on Vehicle-Highway Automation, Member of TRB Standing Committee on Artificial Intelligence and Advanced Computing Applications, Member of American Society of Civil Engineers (ASCE) Connected & Autonomous Vehicles Impacts Committee, Co-Chair of the IEEE ITS Society Technical Committee on Smart Mobility and Transportation 5.0.


    Host: Dr. Jim Moore and Dr. Ketan Savla

    More Info: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659

    Webcast: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701

    Location: Michelson Center for Convergent Bioscience (MCB) - 101

    WebCast Link: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

    OutlookiCal
  • DEI Committee Meeting

    Thu, Apr 07, 2022 @ 02:00 PM - 03:00 PM

    Computer Science

    Receptions & Special Events


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

    Audiences: Invited Faculty Only

    Contact: Assistant to CS chair

    OutlookiCal
  • CS Colloquium: Hussein Sibai (UC Berkeley) - Towards Physics-aware Trustworthy Autonomy

    Thu, Apr 07, 2022 @ 02:00 PM - 03:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Hussein Sibai , UC Berkeley

    Talk Title: Towards Physics-aware Trustworthy Autonomy

    Series: CS Colloquium

    Abstract: Designing trustworthy autonomous systems is a looming challenge in several domains. Symbolic reasoning and verification can complement purely data-driven approaches by exploiting knowledge of structure and code, providing rigorous safety assurances, explaining why designs work, and helping find edge-cases quickly. In this talk, I will discuss recent results that use knowledge about physical laws, such as symmetries, to boost the scalability of formal verification of autonomous systems. The boosting benefits both data-driven and model-based analysis. My tool SceneChecker embodies these algorithms and data structures that use knowledge of symmetries to save verification algorithms from repeating expensive reachability computations. It implements a counterexample-guided abstraction-refinement (CEGAR) verification algorithm that compresses models by combining symmetric states. SceneChecker has been successful in verifying complex scenarios involving ground and aerial vehicles. In the second half, I will present results developed using notions from topological entropy to relate knowledge of physical laws governing a system with data requirements in solving estimation and verification problems. These results can give physics-aware lower-bounds that can guide future autonomy design processes.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Hussein Sibai is a Postdoctoral Scholar at UC Berkeley, advised by Murat Arcak and Sanjit Seshia. He obtained his Ph.D. in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign (UIUC) in December 2021, advised by Sayan Mitra. He received his bachelor's degree in Computer and Communication Engineering from the American University of Beirut and a master's degree in Electrical and Computer Engineering from UIUC. His research interests are in formal methods, control theory, and machine learning. Hussein has won the best poster award in HSCC 2018 and best paper nominations at HSCC 2017 and ATVA 2019. His work has been recognized by the Rambus fellowship, the Ernest A. Reid fellowship, the MAVIS Future Faculty fellowship, and the ACM SIGBED gold medal for the graduate category in the student research competition in CPS Week 21.

    Host: Jyo Deshmukh

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

    Audiences: By invitation only.

    Contact: Assistant to CS chair

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  • Repeating EventGrammar Tutorials

    Fri, Apr 08, 2022 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    INDIVIDUAL GRAMMAR TUTORING FOR VITERBI UNDERGRADUATE AND GRADUATE STUDENTS

    Meet one-on-one with Viterbi faculty, build your grammar skills, and take your writing to the next level!

    Viterbi faculty from the Engineering in Society Program (formerly the Engineering Writing Program) will help you identify and correct recurring grammatical errors in your academic writing, cover letters, resumes, articles, presentations, and dissertations.
    Bring your work, and let's work together to clarify your great ideas!

    Contact helenhch@usc.edu with questions.




    Location: Zoom

    Audiences: Graduate and Undergraduate Students

    View All Dates

    Contact: Helen Choi

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  • ECE-EP Seminar - Jae-sun Seo, Friday, April 8th at 10am via Zoom

    Fri, Apr 08, 2022 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jae-sun Seo, Arizona State University

    Talk Title: Energy-Efficient AI Chip Designs with Digital and Analog Circuits

    Abstract: AI algorithms have been widespread across many practical applications, e.g. convolutional neural networks (CNNs) for computer vision, long short-term memory (LSTM) for speech recognition, etc., but state-of-the-art algorithms are compute-/memory-intensive, posing challenges for AI hardware to perform inference and training tasks with high throughput and low power consumption, especially on area-/energy-constrained edge devices.
    In this talk, I will present our recent research of several energy-efficient AI ASIC accelerators on both all-digital chips and analog/mixed-signal circuit based chips. These include (1) a 40nm CNN inference accelerator with conditional computing and low external memory access, (2) a 28nm CNN training accelerator exploiting dynamic activation/weight sparsity, and (3) a 28nm programmable in-memory computing (IMC) inference accelerator integrating 108 capacitive-coupling-based IMC SRAM macros. We will discuss the digital/analog circuits and architecture design, as well as hardware-aware algorithms employed for the proposed energy-efficient AI accelerators. Based on the demonstrated advantages and challenges of digital and analog AI chip designs, emerging research directions for new AI hardware with new device/circuit/architecture/algorithm design considerations will be discussed.

    Biography: Jae-sun Seo received the Ph.D. degree from the University of Michigan, Ann Arbor in 2010. From 2010 to 2013, he was with IBM T. J. Watson Research Center, working on the DARPA SyNAPSE project and next-generation processor designs. Since 2014, he has been with Arizona State University, where he is currently an Associate Professor in the School of ECEE. He was a visiting faculty at Intel Circuits Research Lab in 2015. His research interests include efficient hardware design of machine learning algorithms and neuromorphic computing. Dr. Seo was a recipient of IBM Outstanding Technical Achievement Award (2012), NSF CAREER Award (2017), and Intel Outstanding Researcher Award (2021). He has served on the technical program committees for ISSCC, MLSys, DAC, DATE, ICCAD, etc.

    Host: ECE-Electrophysics

    More Information: Jae-sun Seo Flyer.pdf

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Advanced Manufacturing Seminar

    Fri, Apr 08, 2022 @ 10:00 AM - 11:30 AM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: John Hart, Massachusetts Institute of Technology

    Talk Title: The Trajectory of Metal Additive Manufacturing

    Abstract: Manufacturing of metal components is essential to every major industry, and involves complex supply chains, consumes significant natural resources, and sometimes still uses ancient techniques. Conversely, additive manufacturing (AM) promises to, ultimately, digitize the shaping of components and enable distributed production. I will highlight recent work from my research group at MIT and collaborators on metal AM including discrete element simulation of powder spreading coupled with X-ray microscopy for layer quality control; a new concept for drop-on-demand metal printing; and physics-based cost modeling to guide the deployment of AM at scale. I will also discuss our efforts in manufacturing education and workforce training.

    Biography: John Hart is Professor of Mechanical Engineering, Director of the Center for Additive and Digital Advanced Production Technologies, and Director of the Laboratory for Manufacturing and Productivity, at MIT. His research group at MIT, the Mechanosynthesis Group focuses on science and technology of production, including research in additive manufacturing, nanostructured materials, and precision machine design. In 2017 and 2018, respectively, he received the MIT Ruth and Joel Spira Award for Distinguished Teaching in Mechanical Engineering and the MIT Keenan Award for Innovation in Undergraduate Education. He is a co-founder of Desktop Metal and VulcanForms, and a Board Member of Carpenter Technology Corporation.

    Host: Center for Advanced Manufacturing

    More Info: https://usc.zoom.us/webinar/register/WN_lp3nfkY6TQ6brG0kB-c2Ag

    Webcast: https://usc.zoom.us/webinar/register/WN_lp3nfkY6TQ6brG0kB-c2Ag

    WebCast Link: https://usc.zoom.us/webinar/register/WN_lp3nfkY6TQ6brG0kB-c2Ag

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • CS Colloquium: Priya Donti (Carnegie Mellon University) - Optimization-in-the-loop AI for energy and climate

    Fri, Apr 08, 2022 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Priya Donti , Carnegie Mellon University

    Talk Title: Optimization-in-the-loop AI for energy and climate

    Series: CS Colloquium

    Abstract: Addressing climate change will require concerted action across society, including the development of innovative technologies. While methods from artificial intelligence (AI) and machine learning (ML) have the potential to play an important role, these methods often struggle to contend with the physics, hard constraints, and complex decision-making processes that are inherent to many climate and energy problems. To address these limitations, I present the framework of "optimization-in-the-loop AI," and show how it can enable the design of AI models that explicitly capture relevant constraints and decision-making processes. For instance, this framework can be used to design learning-based controllers that provably enforce the stability criteria or operational constraints associated with the systems in which they operate. It can also enable the design of task-based learning procedures that are cognizant of the downstream decision-making processes for which a model's outputs will be used. By significantly improving performance and preventing critical failures, such techniques can unlock the potential of AI and ML for operating low-carbon power grids, improving energy efficiency in buildings, and addressing other high-impact problems of relevance to climate action.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Priya Donti is a Ph.D. Candidate in Computer Science and Public Policy at Carnegie Mellon University. Her research explores methods to incorporate physics and hard constraints into deep learning models, in order to enable their use for forecasting, optimization, and control in high-renewables power grids. She is also a co-founder and chair of Climate Change AI, an initiative to catalyze impactful work in climate change and machine learning. Priya is a recipient of the MIT Technology Review's 2021 "35 Innovators Under 35" award, the Siebel Scholarship, the U.S. Department of Energy Computational Science Graduate Fellowship, and best paper awards at ICML (honorable mention), ACM e-Energy (runner-up), PECI, the Duke Energy Data Analytics Symposium, and the NeurIPS workshop on AI for Social Good.

    Host: Bistra Dilkina

    Location: Ronald Tutor Hall of Engineering (RTH) - 115

    Audiences: By invitation only.

    Contact: Assistant to CS chair

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  • PhD Defense - Eric Heiden

    Fri, Apr 08, 2022 @ 11:00 AM - 01:00 PM

    Computer Science

    University Calendar


    PhD Candidate: Eric Heiden

    Time: April 8, 11am-1pm PT

    Location: RTH 406 and on Zoom (https://usc.zoom.us/j/9965174023?pwd=SzlUV1NSUlZQVUNGZTNlT2h4YWpjQT09)

    Committee:
    Gaurav Sukhatme (chair), Jernej Barbic, S.K. Gupta, Sven Koenig, Stefanos Nikolaidis


    Title: Closing the Reality Gap via Simulation-based Inference and Control

    Abstract:
    Simulators play a crucial role in robotics - serving as training platforms for reinforcement learning agents, informing hardware design decisions, or facilitating the prototyping of new perception and control pipelines, among many other applications. While their predictive power offers generalizability and accuracy, a core challenge lies in the mismatch between the simulated and the real world. This thesis addresses the reality gap in robotics simulators from three angles.

    First, through the lens of robotic control, we investigate a robot learning pipeline that transfers skills acquired in simulation to the real world by composing task embeddings, offering a solution orthogonal to commonly used transfer learning approaches. Further, we develop an adaptive model-predictive controller that leverages a differentiable physics engine as a world representation that is updatable from sensor measurements.

    Next, we develop two differentiable simulators that tackle particular problems in robotic perception and manipulation. To improve the accuracy of LiDAR sensing modules, we build a physically-based model that accounts for the measurement process in continuous-wave LiDAR sensors and the interaction of laser light with various surface materials. In robotic cutting, we introduce a differentiable simulator for the slicing of deformable objects, enabling applications in system identification and trajectory optimization.

    Finally, we explore techniques that extend the capabilities of simulators to enable their construction and synchronization from real-world sensor measurements. To this end, we present a Bayesian inference algorithm that finds accurate simulation parameter distributions from trajectory-based observations. Next, we introduce a hybrid simulation approach that augments an analytical physics engine by neural networks to enable the learning of dynamical effects unaccounted for in a rigid-body simulator. In closing, we present an inference pipeline that finds the topology of articulated mechanisms from a depth or RGB video while estimating the dynamical parameters, yielding a comprehensive, interactive simulation of the real system.

    WebCast Link: https://usc.zoom.us/j/9965174023?pwd=SzlUV1NSUlZQVUNGZTNlT2h4YWpjQT09

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • DEN@Viterbi - 'Limited Status: How to Get Started' Virtual Info Session

    Fri, Apr 08, 2022 @ 12:00 PM - 01:00 PM

    Distance Education Network, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi for our upcoming Limited Status: How to Get Started Virtual Information Session via WebEx to learn about the Limited Status enrollment option. The Limited Status enrollment option allows individuals with an undergraduate degree in engineering or related field, with a 3.0 GPA or above to take courses before applying for formal admission into a Viterbi graduate degree program.

    USC Viterbi representatives will provide a step-by-step guide for how to get started as a Limited Status student and enroll in courses online via DEN@Viterbi as early as the Spring 2023 semester.

    Register Now!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e76b82fb5ee7da672f602f537a091ce38

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

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  • CILQ Internal Seminar

    Fri, Apr 08, 2022 @ 12:00 PM - 01:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Keith Chugg, Professor, USC

    Talk Title: Co-Design of Algorithms and Hardware for Deep Neural Networks

    Abstract: Neural networks are in wide use in cloud computing platforms. This includes inference and training with the latter typically performed on programmable processors with multiply-accumulate (MAC) accelerator arrays (e.g., GPUs). In many applications, it can be describable to train on an edge device or using energy efficient application specific circuits. In this talk I will present some research results on application specific hardware acceleration methods for neural networks. Pre-defined sparsity is a method to reduce the complexity of training and inference. In contrast to pruning approaches which remove edges/weights during or after training, this approach sets a pre-defined pattern of sparse connection prior to training and holds this pattern fixed during training and inference. This allows one to design the pattern of sparsity to match a specific hardware acceleration architecture. We also consider Logarithmic Number Systems (LNS) for implementation of training. With LNS, operations are performed on the log of the quantities and therefore multiplies are simplified to addition while additions are more complex in the log domain. We present some preliminary results for LNS training and highlight ongoing challenges in applying this to larger, more complex networks. In many of these approaches we borrow from the design and implementation of iterative decoders for digital communication systems.

    Host: CILQ

    Webcast: https://usc.zoom.us/j/92417517950?pwd=WUkycy90cndVQko5R3RhQ1U3STBDdz09

    More Information: ChuggSeminar-Apr8-2022.pdf

    Location: via zoom

    WebCast Link: https://usc.zoom.us/j/92417517950?pwd=WUkycy90cndVQko5R3RhQ1U3STBDdz09

    Audiences: Everyone Is Invited

    Contact: Corine Wong

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