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SUNMONTUEWEDTHUFRISAT

Events for the 1st week of December

  • The Communications Hub - Academic Writing and Speaking Tutoring for Viterbi Ph.D. Students

    Mon, Nov 28, 2022 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    The Communications Hub offers academic writing and speaking tutoring for Viterbi Ph.D. students! Bring your academic and professional work (at any stage) to faculty at the Engineering in Society Program!

    Drop in hours are in RTH 222:
    Monday: 10-12
    Wednesday: 10-12
    Friday: 10-12

    We also offer online and custom appointments at https://sites.google.com/usc.edu/eishub/home.

    See you at the Hub!

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Graduate

    Contact: Helen Choi

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  • Virtual Event - On Measuring Causal Contributions via do-interventions

    Mon, Nov 28, 2022 @ 10:00 AM - 11:00 PM

    Conferences, Lectures, & Seminars


    Speaker: Dr. Shiva Kasiviswanathan,

    Talk Title: On Measuring Causal Contributions via do-interventions

    Location: https://usc.zoom.us/j/96927080167?pwd=Vk9MOEpOSUx3V1hlZFc3U0tmOTNsUT09

    Audiences: Everyone Is Invited

    Contact: Susan Wiedem

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  • Virtual Coffee Chat with PlayStation University Recruiting Team!

    Mon, Nov 28, 2022 @ 04:00 PM - 06:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Virtual Coffee Chat with PlayStation University Recruiting Team!

    Date: Monday, November 28th
    Time: 4:00 p.m. - 6:00 p.m.
    Location: Zoom RSVP HERE


    Who We Are:

    We are leading the way in developing the games, hardware, digital services and interactive entertainment that are defining the game industry. More importantly, we offer a diverse, inclusive culture where every one of our employees has room to grow.

    Event Details:

    Meet our PlayStation Early Career Talent team to learn more and about our organization and Summer 2023 internship opportunities. This event is an opportunity for students to connect with the PlayStation Early Career Talent team to discuss upcoming 2023 summer internship opportunities.

    What We Offer:

    Begin your next greatest adventure with SIEs internship program! We provide our interns a 12-week paid, hands-on experience that enables them to push the boundaries of play in a dynamic, creative and supportive environment. Internships are full-time and run from end of May to August OR end of June to September.

    Internship Eligibility:

    We are currently seeking students who are enrolled in an accredited university, pursuing a Bachelors, Masters, Ph.D., JD, or MBA degree, and graduating by Spring 2024. Internships are available to students who are US citizens or international students with an F-1 visa. We offer visa sponsorship and are willing to hire a student on CPT or OPT.

    Application Instructions:

    All available internships will be posted on the USC Viterbi Career Gateway by the end of October 2022.

    Learn more about the PlayStation Internship Program here:
    https://www.playstation.com/en-us/corporate/playstation-careers/#listings

    Location: Zoom, please see below for details on how to RSVP

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • CAIS++ Fall 2022 ShowCAIS

    Mon, Nov 28, 2022 @ 06:00 PM - 07:30 PM

    Thomas Lord Department of Computer Science

    Workshops & Infosessions


    CAIS++ (The Student Branch of the Center for Artificial Intelligence in Society) invites you to our Fall Project ShowCAIS! Our members will present their project results during poster presentations where you can learn more about how undergraduate students are applying artificial intelligence for social good. This semester's topics will include robust automatic speech recognition, city transit optimization, human-computer interaction, computer vision for quality assurance, computational agroecology, and more. Please join us for refreshments as we conclude our fall semester projects!

    Location: Ronald Tutor Campus Center (TCC) - The Forum (TCC 450)

    Audiences: Everyone Is Invited

    Contact: CAIS++ USC

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  • Epstein Institute - ISE 651 Seminar

    Tue, Nov 29, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Johannes Royset, Professor, Operations Research, Naval Post Graduate School

    Talk Title: Relax! The Case For Rockafellian Relaxation In Stochastic Optimization and Learning

    Host: Prof. Jong-Shi Pang

    More Information: November 29, 2022.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - GER 206

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Becoming a Patent Examiner at the USPTO (On-Campus, Viterbi)

    Tue, Nov 29, 2022 @ 05:00 PM - 06:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Becoming a Patent Examiner at the USPTO (On-Campus, Viterbi)

    Date: Tuesday, November 29th
    Time: 5:00 p.m. - 6:00 p.m.
    Location: Ronald Tutor Hall (RTH) 211

    Are you ready to protect whats next in American ingenuity?
    Join the United States Patent and Trademark Office, Americas Innovation Agency, for a 50-minute informational presentation to learn about careers in protecting American intellectual property as a patent examiner!

    Why Attend?
    The USPTO has hundreds of positions open for entry-level patent examiners and they want to meet recent or soon-to-be graduates and professionals in physics, biomedical engineering and chemical engineering who are looking to embark on an exciting, new career path. They are currently hiring scientists and engineers nationwide who will use their specialized expertise to serve the public and promote what our founders called the progress of science and the useful arts by granting patents.

    Come to learn about how a career as a patent examiner aligns directly with your interests and your passion for public service. At the event, you will also learn:
    How the work of patent examiners supports economic growth and maintains Americas status as one of the worlds top innovators;
    How your background in science can be fully leveraged in an exciting, challenging career path;
    How you can do the kind of work that you love from your home without relocating;
    That a career as a patent examiner means getting to work with cutting-edge technologies that enable inventive, modern breakthroughs and solve world problems;
    Why the USPTO is consistently ranked as one of the best places to work in the federal government with unmatched benefits, competitive pay, flexible schedules, telework opportunities and a rich, diverse culture and how to apply to USPTOs current job openings via USAJOBS.

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • VGSA CEE Pancake Social

    Tue, Nov 29, 2022 @ 05:30 PM - 07:30 PM

    Viterbi School of Engineering Undergraduate Admission

    Student Activity


    Last Week Before Finals, Come Eat Some Breakfast!!! The VGSA senators in the Civil and Environmental Engineering proudly present the Pancake Social. This event will give a space where students and faculty apart from the department can socialize and come together for an outstandingly unique event. Breakfast for Dinner? What is not to like! See you there.

    Location: ZHS 360, 3651 Trousdale Pkwy, Los Angeles, CA 90007, United States

    Audiences: Everyone Is Invited

    Contact: Emilio Gonzalez

    Event Link: https://engage.usc.edu/Uscvgsa/rsvp?id=387768

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  • PhD Thesis Proposal - Zhaoheng Zheng

    Wed, Nov 30, 2022 @ 08:30 AM - 10:00 AM

    Thomas Lord Department of Computer Science

    University Calendar


    Ph.D. Candidate: Zhaoheng Zheng

    Topic: Incorporating Large-Scale Vision-Language Corpora in Visual Understanding


    Committee Chair: Prof. Ram Nevatia
    Committee Member: Prof. Keith Jenkins
    Committee Member: Prof. Jesse Thomason
    Committee Member: Prof. Greg Ver Steeg
    Committee Member: Prof. Mohammad Soleymani

    Abstract: Vision and language are key mediators through which humans interact with the external world or other members of society. One goal of artificial intelligence (AI) research is to create machines that can perceive the real world through multiple modalities. Previous research has shown remarkable progress in creating functional visual or linguistic perception systems with the help of deep neural networks. Recently, thanks to the advances of the Internet and social media, large-scale vision-language corpora can be easily accessed, motivating research that aims at creating large-scale Vision-Language Pre-training (VLP) models. Compared with previous methods, VLP models are stronger and more generalizable thanks to their data scale. In this thesis, we investigate the problem of how to leverage such data to boost existing visual understanding tasks. Particularly in FashionVLP, we propose to fine-tune a pre-trained VLP model for fashion image retrieval. More specifically, we fine-tune the model with customized input sequences containing various vision-language features, achieving significant improvements on multiple benchmarks. Moreover, we take a step further and explore better designs for VLP models to learn from large-scale corpora, resulting in our recent work, Fractional Intermediate Tower (FIT). FIT enhances the vision-language fusion process inside VLP models by encoding vision features from multiple vision layers before they are taken by the fusion encoder.

    WebCast Link: https://usc.zoom.us/j/95655803815?pwd=d3RrOXNrU2dVVE1sTkZpYXU3NWxEUT09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • ServiceNow Open House (Virtual, External)

    Wed, Nov 30, 2022 @ 10:00 AM - 11:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    At ServiceNow, our technology makes the world work for everyone, and our people make it possible. Our diverse team is changing the world with products that make a meaningful impact on people and communities. The more of 'you' you bring to work, the better. When you join ServiceNow, the world works.
    Who is ServiceNow?
    ServiceNow creates digital experiences that help organizations work smarter, faster, and better. Our purpose is to make the world work better for everyone.

    ServiceNow Open Houses:
    We are excited to announce our new Open Houses this Fall! These Open Houses are
    available to anyone that would like to learn more about ServiceNow, our culture, and opportunities. Each open house will consist of an info session about ServiceNow and breakout rooms with recruiters and ServiceNow professionals. Join us and do not miss out on all the fun!

    ServiceNow Workshops:
    We are excited to announce that we are bringing back our career development
    workshop series. These are free, virtual, career development workshops aimed to help those looking to jumpstart their careers in the tech industry. We'll be covering valuable topics that you won't want to miss!

    ServiceNow Virtual Events

    - Open House September 7th | 10 to 11 am

    - Stand Out at Career Fairs and Conferences
    Workshop September 14th| 10 to 11 am

    - Open House September 22nd | 10 to 11 am

    - Open House October 5th | 10 to 11 am

    - Build Your Personal Brand and Give Your LinkedIn a Makeover Workshop October 12th |10 to 11 am

    - Open House October 20th | 10 to 11 am

    - Open House November 2nd |10 to 11 am

    - How to Ace your In-Person and Virtual Interview Workshop November 9th 10:00 AM to 11:00 AM PDT

    - Open House November 17th |10 to 11 am

    - Open House November 30th | 10 to 11 am

    - Overcoming Imposter Syndrome Workshop December 14th | 10 to 11 am

    - Open House December 15th | 10:00 to 11:00 am

    Check out all of our events and RSVP HERE
    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 participants responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu



    Location: online

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Virtual Efficient Estimation of Treatment Effect in Online Experiments

    Wed, Nov 30, 2022 @ 10:00 AM - 11:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Congshan Zhang, Meta , Core Data Science Team at Meta

    Talk Title: Efficient Estimation of Treatment Effect in Online Experiments

    Abstract: Randomized controlled trials are commonly used by tech companies to draw causal conclusions on various product changes. The confidence intervals from these experiments, however, are usually too large due to reasons such as limited number of users, heavy-tailed outcome variables and small treatment effects. Improving estimation efficiency for randomized controlled trials is not only a scientifically interesting but also a practically relevant area of research. In this talk, I will go over a few prominent techniques in statistics to improve estimation efficiency. Basic techniques such as CUPED and more advanced methodologies based on ML and synthetic controls will be introduced.

    Biography: Congshan Zhang is a research scientist on Core Data Science Team at Meta. Congshan is interested in various topics in statistics and econometrics including causal inference, machine learning and time series. Congshan holds Ph.D. in economics from Duke University. Before joining Meta, Congshan did research on financial econometrics, with a focus on nonparametric and semi-parametric inference using high-frequency data and on testing models of financial markets. His work appears in top journals of econometrics such as Journal of Econometrics and Annals of Applied Probability.

    Host: Urbashi Mitra

    More Info: https://usc.zoom.us/j/96927080167?pwd=Vk9MOEpOSUx3V1hlZFc3U0tmOTNsUT09 Meeting ID: 969 2708 0167 Passcode: 586135

    More Information: ECE Seminar Announcement_Nov21.docx

    Location: https://usc.zoom.us/j/96927080167?pwd=Vk9MOEpOSUx3V1hlZFc3U0tmOTNsUT09 Meeting ID: 969 2708 0167 P

    Audiences: Everyone Is Invited

    Contact: Susan Wiedem

    Event Link: https://usc.zoom.us/j/96927080167?pwd=Vk9MOEpOSUx3V1hlZFc3U0tmOTNsUT09 Meeting ID: 969 2708 0167 Passcode: 586135

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  • Computer Science General Faculty Meeting

    Wed, Nov 30, 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: Ronald Tutor Hall of Engineering (RTH) - 526 - Hybrid

    Audiences: Invited Faculty Only

    Contact: Assistant to CS chair

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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, Nov 30, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Vikas Sindhwani, Google Brain

    Talk Title: Foundation Models for Robotics

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

    Abstract: Trained on internet-scale datasets, large language and vision models demonstrate breakthrough capabilities which until recently were thought to still be decades away in technological feasibility. Does this imply a paradigm shift in Robotics as well? If so, what is the bridge from symbols and tokens on the internet to actions in the physical world? Through a few illustrative vignettes of robotic manipulation and navigation research at Google, I will propose speculative paths towards making robots useful in human-centric spaces.

    Biography: Vikas Sindhwani is Senior Staff Research Scientist in the Google Brain team in New York where he leads a research group focused on solving a range of planning, perception, learning, and control problems arising in Robotics. His interests are broadly in core mathematical foundations of statistical learning, and in end-to-end design aspects of building large-scale, robust machine intelligence systems. He received the best paper award at Uncertainty in Artificial Intelligence (UAI) 2013, the IBM Pat Goldberg Memorial Award in 2014, and was finalist for Outstanding Planning Paper Award at ICRA-2022. He serves on the editorial board of Transactions on Machine Learning Research (TMLR) and IEEE Transactions on Pattern Analysis and Machine Intelligence; he has been area chair and senior program committee member for NeurIPS, International Conference on Learning Representations (ICLR) and Knowedge Discovery and Data Mining (KDD). He previously led a team of researchers in the Machine Learning group at IBM Research, NY. He has a PhD in Computer Science from the University of Chicago and a B.Tech in Engineering Physics from Indian Institute of Technology (IIT) Mumbai. His publications are available at: http://vikas.sindhwani.org/.

    Host: Somil Bansal, somilban@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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  • AME Seminar (Virtual)

    Wed, Nov 30, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Sebastian Pattinson, University of Cambridge

    Talk Title: Generalisable 3D Printing Error Detection and Correction via Neural Networks

    Abstract: Material extrusion is the most widespread additive manufacturing method but its application in end-use products is limited by vulnerability to errors. Humans can detect errors but cannot provide continuous monitoring or real-time correction. Existing automated approaches are not generalisable across different parts, materials, and printing systems. In this talk I will discuss recent work in our lab where we train a multi-head neural network using images automatically labelled by deviation from optimal printing parameters. The automation of data acquisition and labelling allows the generation of a large and varied extrusion 3D printing dataset, containing 1.2 million images from 192 different parts labelled with printing parameters. The thus trained neural network, alongside a control loop, enables real-time detection and rapid correction of diverse errors that is effective across many different 2D and 3D geometries, materials, printers, toolpaths, and even extrusion methods.

    Biography: Sebastian Pattinson is an Assistant Professor in the Department of Engineering at the University of Cambridge. His group develops 3D printers that learn how to make things better and uses these to make better medical devices. Before joining the Cambridge, Sebastian was a postdoctoral fellow in the Department of Mechanical Engineering at MIT focusing on 3D printed materials and devices. He received Ph.D. and Masters degrees in the Department of Materials Science & Metallurgy at the University of Cambridge, where he developed nanomaterial synthesis methods. His awards include a UK Academy of Medical Sciences Springboard award; US National Science Foundation postdoctoral fellowship; UK Engineering and Physical Sciences Research Council Doctoral Training Grant; MIT Translational Fellowship; and a (Google) X Moonshot Fellowship.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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  • NL Seminar -Prioritized training on points that are learnable, worth learning, and not yet learned

    Thu, Dec 01, 2022 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Sören Mindermann & Jan Brauner, University of Oxford

    Talk Title: Prioritized training on points that are learnable, worth learning, and not yet learned

    Series: NL Seminar

    Abstract: REMINDER
    Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom.

    If you are an outside visitor, please inform us at nlg DASH seminar DASH host AT isi DOT edu beforehand so we will be aware of your attendance and let you in.

    In person attendance will be permitted for USC ISI faculty, staff, students only. Open to the public virtually via the zoom link and online.

    Training on web scale data can take months. But much computation and time is wasted on redundant and noisy points that are already learnt or not learnable. To accelerate training, we introduce Reducible Holdout Loss Selection RHO LOSS , a simple but principled technique which selects approximately those points for training that most reduce the models generalization loss.

    As a result, RHO LOSS mitigates the weaknesses of existing data selection methods techniques from the optimization literature typically select hard eg high loss points, but such points are often noisy not learnable or less task relevant. Conversely, curriculum learning prioritizes easy points, but such points need not be trained on once learned. In contrast, RHO LOSS selects points that are learnable, worth learning, and not yet learnt. RHO LOSS trains in far fewer steps than prior art, improves accuracy, and speeds up training on a wide range of datasets, hyperparameters, and architectures MLPs, CNNs, and BERT. On the large web scraped image dataset Clothing 1M, RHO LOSS trains in 18 times fewer steps and reaches 2 percent higher final accuracy than uniform data shuffling.


    Biography: Bio Soren Mindermann
    Soren is a final year PhD student in machine learning at the University of Oxford, supervised by Yarin Gal. My interests in machine learning include how it scales, causal inference and statistical modeling, as well as robustly aligning machine learning models to adopt human wishes and value.

    Bio Jan Brauner
    Jan is a PhD candidate in the Centre for Doctoral Training on Intelligent and Autonomous Machines and Systems AIMS CDT, supervised by Yarin Gal. His current research interests include AI safety and applications of AI in medicine biomedical research.


    Host: Jon May and Meryem M'hamdi

    More Info: https://nlg.isi.edu/nl-seminar/

    Webcast: https://www.youtube.com/watch?v=uRKrSBRAG0k

    Location: Information Science Institute (ISI) - Virtual and ISI-Conf Rm#689

    WebCast Link: https://www.youtube.com/watch?v=uRKrSBRAG0k

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

    Event Link: https://nlg.isi.edu/nl-seminar/

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  • CEE Seminar Series

    Thu, Dec 01, 2022 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Karen Daniels PhD, North Carolina State University

    Talk Title: Looking Inside Granular Materials

    Abstract: See attached

    Host: Dr Thomas Petersen

    More Info: https://usc.zoom.us/j/96591420807

    Webcast: https://usc.zoom.us/j/96591420807

    More Information: Daniels_Announcement.docx

    Location: ZOOM

    WebCast Link: https://usc.zoom.us/j/96591420807

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

    Event Link: https://usc.zoom.us/j/96591420807

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  • Wind Down for Finals with KIUEL

    Thu, Dec 01, 2022 @ 05:00 PM - 06:00 PM

    USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars


    Are nerves starting to kick in because of the upcoming finals season? If so, attend KIUEL's Wind Down for Finals and get some advice about how to tackle exams from Viterbi upperclassmen and professors, while enjoying sandwiches and hot chocolate.

    Location: Sign into EngageSC to View Location

    Audiences:

    Contact: Kevin Giang

    Event Link: https://engage.usc.edu/viterbi/rsvp?id=387780

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  • PhD Thesis Proposal - Zunchen Huang

    Fri, Dec 02, 2022 @ 09:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Candidate: Zunchen Huang

    Title: Constraint Based Analysis for Persistent Memory Programs
    Time: Friday, December 2, 9:00 AM-11:00 AM PST

    Committee: Chao Wang (chair), William GJ Halfond, Mukund Raghothaman, Srivatsan Ravi, and Pierluigi Nuzzo.

    Abstract: Emerging persistent memory (PM) technologies are beginning to bridge the gap between volatile memory and non-volatile storage in computer systems, by allowing high-speed memory access, byte-addressability, and persistency at the same time. However, PM programming remains a challenging and error-prone task due to reliance on ordinary developers to write correct and efficient PM software code. In this presentation, I propose a framework to detect and repair PM bugs in software code automatically using a set of new symbolic analysis techniques. Unlike existing methods, which rely on patterns and heuristics to detect and repair a small subset of PM bugs, the proposed symbolic analysis framework is able to handle a wide range of PM bugs uniformly. This is achieved by first encoding the program semantics, correctness properties, and PM requirements as a set of logical constraints, and then solving these constraints using off-the-shelf solvers. By reasoning about these logical constraints symbolically, our method can detect, diagnose, and repair PM bugs both efficiently and automatically. It can also infer PM requirements automatically. Finally, I will discuss potential extensions of the framework to programs that rely on both PM and multi-threading to reason about persistency and concurrency simultaneously.

    Zoom link: https://usc.zoom.us/j/4326990557

    WebCast Link: https://usc.zoom.us/j/4326990557

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Career & Internship Bootcamp: What Recruiters Look for in Your Resume

    Fri, Dec 02, 2022 @ 10:00 AM - 10:30 AM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY

    Want to secure an internship or job? Participate in Career & Internship Bootcamp to learn how to increase your chances of getting contacted for an interview, how to excel at interviews, and how to negotiate a higher salary. Review strategies to showcase your experiences and highlight your skills on your resume to impress recruiters and land interviews.

    To access the ZOOM link and for more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For In-Person: Attendance is limited to room capacity

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Career & Internship Bootcamp: Find Your Dream Job or Internship

    Fri, Dec 02, 2022 @ 11:00 AM - 11:30 AM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY

    Focus your job search to find the right opportunities for you.

    To access the ZOOM link and for more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For In-Person: Attendance is limited to room capacity

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • PhD Thesis Proposal - Ehsan Qasemi

    Fri, Dec 02, 2022 @ 11:00 AM - 02:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Ph.D. Candidate: Ehsan Qasemi
    Title: Multi-Modal Preconditioned Commonsense Inference
    Committee:
    Muhao Chen, Aiichiro Nakano, Daniel O'Leary, Fred Morstatter, Luis Garcia

    Humans can seamlessly reason with circumstantial preconditions of commonsense knowledge. We understand that "a glass is used for drinking water", unless "the glass is broken" or "the water is toxic". Despite state-of-the-art (SOTA) models' impressive performance in inferring commonsense knowledge, it is unclear whether they understand the circumstantial preconditions.
    In this dissertation, I initially propose a novel challenge of reasoning with preconditions attributed to commonsense knowledge, design three tasks based on the challenge in text-only setup, and show there is a significant gap between SOTA language models' performance and human's on our tasks. I then use weak supervision in a combination of targeted fine-tuning strategies to improve the language model's performance on the preconditioned inference task. Finally, I go beyond the text-only setup and investigate the problem of preconditioned inference in a multi-modal setup when the model is challenged to infer the preconditions from an image.

    Zoom link: https://usc.zoom.us/j/92119832136 Date: Friday Dec 2nd, 11AM-12 PM

    WebCast Link: Ph.D. Candidate: Ehsan Qasemi Title: Multi-Modal Preconditioned Commonsense Inference Committee: Muhao Chen, Aiichiro Nakano, Daniel O'Leary, Fred Morstatter, Luis Garcia Humans can seamlessly reason with circumstantial preconditions of commonsense knowle

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Career & Internship Bootcamp: Career Connections Lunch & Learn (with Pizza!)

    Fri, Dec 02, 2022 @ 12:00 PM - 01:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Enjoy free pizza and drinks while sharing what you want to see from Viterbi Career Connections.

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Career & Internship Bootcamp: Get Connected - Tapping into the Hidden Job Market

    Fri, Dec 02, 2022 @ 02:00 PM - 02:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY

    Want to secure an internship or job? Participate in Career & Internship Bootcamp to learn how to increase your chances of getting contacted for an interview, how to excel at interviews, and how to negotiate a higher salary. Learn how to build a professional network that increases your access to employment opportunities.

    To access the ZOOM link and for more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For In-Person: Attendance is limited to room capacity

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Career & Internship Bootcamp: Interview Tips to Help you Secure a Job Offer

    Fri, Dec 02, 2022 @ 03:00 PM - 03:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY

    Want to secure an internship or job? Participate in Career & Internship Bootcamp to learn how to increase your chances of getting contacted for an interview, how to excel at interviews, and how to negotiate a higher salary. Your resume will get you an interview, but your interview will land you the job.

    To access the ZOOM link and for more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For In-Person: Attendance is limited to room capacity

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Career & Internship Bootcamp: Increase Your Salary: Negotiating Your Job Offer

    Fri, Dec 02, 2022 @ 04:00 PM - 04:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY

    Want to secure an internship or job? Participate in Career & Internship Bootcamp to learn how to increase your chances of getting contacted for an interview, how to excel at interviews, and how to negotiate a higher salary. Learn the ins and outs of an offer, what is up for negotiation, and how to get the most out of your offer.

    To access the ZOOM link and for more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For In-Person: Attendance is limited to room capacity

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Viterbi Impact Program | End of Semester Celebration

    Fri, Dec 02, 2022 @ 05:00 PM - 06:00 PM

    USC Viterbi School of Engineering

    Student Activity


    Join us to celebrate the end of the semester with fellow volunteers and Viterbi staff. Dinner and refreshments will be provided.

    Location: Private Location (register to display)

    Audiences:

    Contact: Noe Mora

    Event Link: https://engage.usc.edu/viterbi/rsvp?id=387693

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