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Events for September 29, 2023

  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Fri, Sep 29, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions

    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

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    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • Alfred E.Mann Department of Biomedical Engineering - Seminar series

    Fri, Sep 29, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Xiling Shen, Adjunct Professor, Department of Pathology, Duke University

    Talk Title: Developing multi-modal platforms for next-generation precision medicine

    Abstract: Bodily cells undergo transformations in space and time during development, disease progression, and therapeutic treatment. A holistic approach that combines engineering tools, patient-derived models, and analytical methods is needed to map cellular reprogramming and expose new therapeutic opportunities for precision oncology. The talk will cover our effort across the entire spectrum from bench to bedside, including miniature organoid technology to guide clinical precision- and immuno-oncology, targeting epigenetic and metabolic reprogramming of cancer metastasis, algorithms to identify cancer microbiome, neuromodulation to treat cancer cachexia, and reprogramming organogenesis to create chimeric humanized models.

    Biography: Dr. Shen is currently a professor and the chief scientific officer of the Terasaki Institute for Biomedical Innovation and the founder and chief executive officer of Xilis Inc. He was formerly the Hawkins Family Associate Professor in the Department of Biomedical Engineering at Duke University and Director of the Woo Center for Big Data and Precision Health. He received his BS, MS, and PhD degrees from Stanford University and the NSF faculty career award at Cornell University. He was the steering committee chair of the NCI Patient-Derived Model of Cancer Consortium, co-chair of the NCI Tissue Engineering Consortium, and cancer track chair of Biomedical Engineering Society 2019. His lab studies precision medicine from a systems biology perspective. Areas of interests include cancer, stem cells, the gut-brain axis, and microbiome.

    Host: Qifa Zhou

    More Info: zoom link available upon request

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    Event Link: zoom link available upon request

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  • Junior, Senior, 5th Yr+ Study & Social

    Junior, Senior, 5th Yr+ Study & Social

    Fri, Sep 29, 2023 @ 01:00 PM - 03:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity

    Meet up with your fellow Upperclassmen for an afternoon of studying, snacks, and community!

    All Viterbi Undergraduate Juniors, Seniors, and 5th+ years are welcome to attend. This event is hosted by the Viterbi Learning Program.

    RSVP on EngageSC: https://cglink.me/2nB/r391330

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

    Audiences: Juniors/Seniors/5th+ Yr Undergraduates

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r391330

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  • ISSS - Changzhi Li, Friday, 9/29 at 2pm in EEB 248

    Fri, Sep 29, 2023 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Changzhi Li, Texas Tech University

    Talk Title: Portable Radar Systems at the Human-Microwave Frontier: Life Activity Sensing and Human Tracking

    Series: Integrated Systems

    Abstract: By sensing various life activities with microwave signals, portable radar with state-of-the-art front-end and measurement algorithms has great potential to improve healthcare, security, and human-machine interface. This presentation will first provide an overview on the state-of-the-art smart radar sensors powered by advanced digital/RF beamforming, multiple-input and multiple-output (MIMO), inverse synthetic-aperture radar (ISAR) technique, and deep learning. A few examples based on interferometry, Doppler, frequency-shift keying (FSK), and frequency-modulated continuous-wave (FMCW) modes at 5.8 GHz, 24 GHz, and 120 GHz will be discussed. In addition, the use of nonlinear technologies will be reported, with a focus on in-band third-order intermodulation measurement for enhanced target identification and parameter extraction. Case studies at this exciting human-microwave frontier will be given on physiological signal sensing, non-contact human-computer interface, driving behavior recognition, human tracking, and anomaly detection.
    As smart radar sensors enter the healthcare, automotive, and smart living sectors of daily life, measures to enhance its security against malicious attacks are of paramount importance. This part of the talk will discuss possible ways of malicious attacks to radar sensors. Then technologies that mitigate potential spoofing attacks will be unveiled to make smart radar sensors more secure and trustworthy. Finally, this talk will conclude with future industrial and academic R&D outlooks for microwave short-range life activities sensing.

    Biography: Changzhi Li received a Ph.D. degree in Electrical Engineering from the University of Florida, Gainesville, FL in 2009. He is a Professor at Texas Tech University. His research interest is microwave/millimeter-wave sensing for healthcare, security, and human-machine interface.
    Dr. Li is an MTT-S Distinguished Microwave Lecturer. He was a recipient of the IEEE MTT-S Outstanding Young Engineer Award, the IEEE Sensors Council Early Career Technical Achievement Award, the ASEE Frederick Emmons Terman Award, the IEEE-HKN Outstanding Young Professional Award, and the U.S. National Science Foundation (NSF) Faculty CAREER Award. He is an Associate Editor of the IEEE JOURNAL OF ELECTROMAGNETICS, RF AND MICROWAVES IN MEDICINE AND BIOLOGY. He is the General Co-chair of the 2023 IEEE Radio & Wireless Week (RWW). He served as the chair of the MTT-S Technical Committee "Biological Effect and Medical Applications of RF and Microwave" from 2018 to 2019, the TPC Chair of the 2022 IEEE RWW, a TPC Co-Chair of the IEEE MTT-S International Microwave Biomedical Conference (IMBioC) from 2018 to 2019, and the IEEE Wireless and Microwave Technology Conference from 2012 to 2013. He is a Fellow of the National Academy of Inventors.

    Host: MHI - ISSS, Hashemi, Chen and Sideris

    Webcast: Zoom Meeting ID: 919 9842 7261, Passcode: 520437

    More Information: Abstract and Bio_C_Li.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    WebCast Link: Zoom Meeting ID: 919 9842 7261, Passcode: 520437

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • PhD Dissertation Defense - David Millard

    Fri, Sep 29, 2023 @ 03:00 PM - 05:00 PM

    Thomas Lord Department of Computer Science

    University Calendar

    PhD Dissertation Defense - David Millard

    Committee Members: Gaurav Sukhatme (chair), Lars Lindemann, Somil Bansal

    Title: Augmented Simulation Techniques for Robotic Manipulation

    Abstract: The development and application of capable robot manipulators require advances in world modeling and simulation. This thesis provides a comprehensive overview of our work in simulation methodologies, covering diverse physical phenomena and target applications, and with augmented structures that make associated computation tractable. First, we present work in rigid body dynamics with contact, augmented for fast computation of first and second order derivatives and probability distributions, and present applications to parameter estimation and control. We then present work in soft object modeling and control, first by using differentiable solid mechanics for constrained parameter estimation and then by machine learning based predictive control. Finally, we present work on GPU accelerated parallel Discrete Element Methods DEM and their applicability to the challenges of robotic sampling and excavation. To demonstrate the translational utility of this work, we present results from several methodologies from real data or on real hardware

    Location: Ronald Tutor Hall of Engineering (RTH) - 105

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

    Event Link: https://usc.zoom.us/j/97228913263?pwd=aitNWjk3VjlmcnBEcmlERURDY1kwUT09

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