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Events for February 11, 2022

  • Advanced Manufacturing Seminar

    Fri, Feb 11, 2022 @ 10:00 AM - 11:30 AM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Vijay Srinivasan, Engineering Laboratory, National Institute of Standards and Technology

    Talk Title: Emergence of Biotechnology Platforms During COVID-19: A Lesson in Modern Biology

    Abstract: The COVID-19 pandemic has accelerated the development and manufacturing of vaccines at an unprecedented rate. This has been enabled by the emergence of biotechnology platforms such as mRNA and Viral Vectors. In this seminar, I will outline the engineering aspects of such platforms and the modern biology behind their evolution.

    Biography: Dr. Vijay Srinivasan is a Senior Advisor in the Engineering Laboratory at the National Institute of Standards and Technology, Gaithersburg, Maryland. He joined NIST in 2009, after 26 years at IBM Research during which he was also an Adjunct Professor at the Columbia University, New York. Dr. Srinivasan has published widely and is a Fellow of ASME and AAAS.

    Host: Center for Advanced Manufacturing

    More Info: Registration link: https://usc.zoom.us/webinar/register/WN_ldAXMSAaT2iL638ngk5IZw

    Webcast: Registration link: https://usc.zoom.us/webinar/register/WN_ldAXMSAaT2iL638ngk5IZw

    WebCast Link: Registration link: https://usc.zoom.us/webinar/register/WN_ldAXMSAaT2iL638ngk5IZw

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • Repeating EventGrammar Tutorials

    Fri, Feb 11, 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

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    Contact: Helen Choi

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  • Phd Thesis Proposal - Chaoyang He

    Fri, Feb 11, 2022 @ 03:00 PM - 04:30 PM

    Computer Science

    University Calendar


    Ph.D. Candidate: Chaoyang He

    Title: Towards End-to-end Federated Machine Learning at Scale: Algorithm, Systems, and Applications



    Committee members: Prof. Salman Avestimehr (Chair), Prof. Mahdi Soltanolkotabi, Prof. Murali Annavaram, Prof. Xiang Ren, Prof. Barath Raghavan

    Abstract: Federated learning (FL) is a machine learning paradigm that many clients (e.g. mobile/IoT devices or whole organizations) collaboratively train a model under the orchestration of a central server (e.g. service provider), while keeping the training data decentralized. It has shown huge potential in mitigating many of the systemic privacy risks, regulatory restrictions, and communication costs, resulting from traditional, centralized machine learning and data science approaches in healthcare, finance, smart city, autonomous driving, and the Internet of things. Though it's promising, landing FL into trustworthy data-centric AI infrastructure faces many realistic challenges from learning algorithms (e.g., data heterogeneity, label deficiency) and distributed systems (resource constraints, system heterogeneity, security, privacy, etc.), requiring interdisciplinary research in machine learning, distributed systems, and security/privacy. Driven by this goal, My Ph.D. research focuses on end-to-end FL research, from algorithms to systems to applications. In this thesis proposal, I will first summarize my publications from the perspective of FedML, a widely adopted open-source library I developed, and highlight how I enable scale FL at cross-device and cross-silo settings, as well as diverse applications in CV, NLP, and data mining. Second, I will also introduce my broader accomplishment, including visionary papers, open-source impacts, academia service, industrial collaboration, invited talks, and workshop organization. Finally, I will briefly introduce my ongoing works on secure aggregation and label deficiency and finalize my presentation with a clear future plan.

    Zoom Link: https://usc.zoom.us/my/usc.chaoyanghe

    WebCast Link: https://usc.zoom.us/my/usc.chaoyanghe

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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