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Events for October 17, 2024

  • Computational Science Distinguished Seminar Series

    Thu, Oct 17, 2024 @ 09:00 AM - 10:30 AM

    USC School of Advanced Computing

    Conferences, Lectures, & Seminars


    Speaker: Jessica Zhang, Carnegie Mellon University

    Talk Title: From neurological disorders to additive manufacturing: integrating isogeometric analysis with deep learning and digital twins

    Abstract: Coupling physics-based simulation and data-driven modeling have demonstrated great power in predicting complex systems. This talk focuses on integrating an advanced finite element method called isogeometric analysis (IGA) with deep learning and digital twins to address challenging problems in investigating neurological disorders and additive manufacturing (AM). To investigate neurodevelopmental disorders, we introduce a novel phase field model coupled with tubulin and synaptogenesis concentration to simulate intricate neurite outgrowth and disorders using IGA, dynamic domain expansion and local refinement. By integrating IGA and convolutional neural networks, we conduct thorough investigations into the functional role of various parameters affecting the neurodevelopmental disorder with comparison to experimental results. To investigate intracellular transport induced neurodegenerative disorders, we develop a PDE-constrained optimization model to simulate traffic jams induced by microtubule reduction and swirl. We also build a novel IGA-based physics-informed graph neural network to quickly predict normal and abnormal transport phenomena in complex neuron geometries.
     
    In the second half of the talk, I will present our latest research on generative manufacturing or combining AI with IGA for AM applications. It includes a machine learning framework for inverse design and manufacturing of self-assembling fiber-reinforced composites in 4D printing, IGA-based topology optimization for AM of heat exchangers, as well as data-driven residual deformation prediction to enhance metal component printability and lattice support structure design in the laser powder bed fusion (LPBF) AM process. By speeding up geometry distortion predictions from several hours to mere seconds with uncertainty quantification, our model can be deployed to prevent generation of infeasible designs. Our on-going efforts also include developing digital twins to enable prediction and control of process parameters in LPBF manufacturing, where reduced order modeling is one key technique to efficiently simulate underlying physics.
     

    Biography: Jessica Zhang is the George Tallman Ladd and Florence Barrett Ladd Professor of Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in Biomedical Engineering. She received her B.Eng. in Automotive Engineering, and M.Eng. in Engineering Mechanics from Tsinghua University, China; and M.Eng. in Aerospace Engineering and Engineering Mechanics and Ph.D. in Computational Engineering and Sciences from Institute for Computational Engineering and Sciences (now Oden Institute), The University of Texas at Austin. Her research interests include computational geometry, isogeometric analysis, finite element method, data-driven simulation, image processing, and their applications in computational biomedicine and engineering. Zhang has co-authored over 230 publications in peer-reviewed journals and conference proceedings and received several Best Paper Awards. She published a book entitled “Geometric Modeling and Mesh Generation from Scanned Images” with CRC Press, Taylor & Francis Group. Zhang is the recipient of Simons Visiting Professorship from Mathematisches Forschungsinstitut Oberwolfach of Germany, US Presidential Early Career Award for Scientists and Engineers, NSF CAREER Award, Office of Naval Research Young Investigator Award, and USACM Gallagher Young Investigator Award. At CMU, she received David P. Casasent Outstanding Research Award, George Tallman Ladd and Florence Barrett Ladd Professorship, Clarence H. Adamson Career Faculty Fellow in Mechanical Engineering, Donald
    L. & Rhonda Struminger Faculty Fellow, and George Tallman Ladd Research Award. She is a Fellow of ASME, SIAM, IACM, USACM, IAMBE, AIMBE, SMA, and ELATES at Drexel. She is the Editor-in-Chief of Engineering with Computers.

    Host: The School of Advanced Computing

    More Info: https://sac.usc.edu/events/

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

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://sac.usc.edu/events/

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  • Repeating EventSix Sigma Green Belt for Process Improvement

    Thu, Oct 17, 2024 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: IISE Faculty, IISE Faculty

    Talk Title: Six Sigma Green Belt for Process Improvement

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

    Host: USC Viterbi Corporate and Professional Programs

    Audiences: Six Sigma Green Belt Students

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    Contact: VASE Executive Education

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  • Viterbi- BAE Systems Early Careers Info Session #1

    Thu, Oct 17, 2024 @ 01:00 PM - 03:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    This event is for Viterbi engineering students only.
    Want to learn more about what it is like to work at BAE Systems as a recent grad or intern? Join us for a virtual Early Career Info Session on Thursday, October 17th from 1pm - 3pm EST or Tuesday, October 29th from 3pm – 5pm EST, hosted on the Brazen/Radancy platform. Both sessions will contain the same information, so pick the one that works best for your schedule!
     
    Event Schedule:
    First hour: BAE Systems overview & employee panel discussion
    Second hour: Chat with our Talent Acquisition Team
     
    You'll hear about the work we do, our culture, and our early career programs. Then our current BAE Systems early career professionals will share their advice on navigating the transition from college to the workforce and their experiences as BAE Systems employees.
     
    After the presentation, our Talent Acquisition representatives will be available for one-on-one chats to answer questions you have about #LifeAtBAESystems and our open entry level, internship, and Leadership Development Program (LDP) roles.
     
    Click here to register for the October 17th session (1pm – 3pm EST)
    Click here to register for the October 29th session (3pm – 5pm EST )
     
    We hope to see you there!

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Viterbi - Lockheed Martin Virtual Series (2/2)

    Thu, Oct 17, 2024 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    This event is for Viterbi engineering students only. Please register through Handshake. 
    At Lockheed Martin, we don't just embrace the future, we engineer it. Join us for an information session on security clearances and a panel discussion from women in computer science and cyber. This is the second event of the series. This event's topic will be Women in CS & Cyber Panel Discussion.
     
    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

    Audiences: BS, MS, PhD

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://usc.joinhandshake.com/

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