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Events for April 01, 2024

  • Repeating EventEiS Communications Hub Drop-In Hours

    Mon, Apr 01, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions

    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

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

    Audiences: Viterbi Ph.D. Students

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    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

  • Repeating EventEiS Communications Hub Drop-In Hours

    Mon, Apr 01, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity

    Drop-in hours for writing and speaking support for Viterbi Ph.D. students

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

    Audiences: Everyone Is Invited

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    Contact: Helen Choi

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

  • ECE Seminar: Ultra-High-Throughput Computational Imaging: Towards A Trillion Voxels Per Second

    Mon, Apr 01, 2024 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Kevin C. Zhou, Postdoctoral Scholar | Schmidt Science Fellow | Department of EECS | UC Berkeley

    Talk Title: Ultra-High-Throughput Computational Imaging: Towards A Trillion Voxels Per Second

    Abstract: Traditional biomedical imaging techniques face throughput bottlenecks that limit our ability to study complex dynamic samples like cells, organoids, tissues, and organisms. In particular, hardware-only systems have inherent physical limitations preventing the simultaneous improvement of resolution, field of view, and frame rate. In this seminar, I propose that large-scale, machine learning-accelerated computational imaging will be the key to overcoming these throughput bottlenecks. I demonstrate a variety of examples from my research, ranging from resolution-enhanced, speckle-free tissue imaging with optical coherence refraction tomography, to camera array-based gigapixel microscopy and 4D fluorescence tomography of freely-behaving zebrafish and fruit flies. Critical to the computational scalability is the integration of physics-supervised deep learning into my reconstruction algorithms. Combined with scalable hardware designs, these high-performance computational imaging systems will continue the trend of my research towards ultra-high imaging throughputs, even approaching 1 trillion voxels per second, which will accelerate scientific discovery, big data generation, and tool development across a broad range of biomedical applications.

    Biography: Kevin C. Zhou is a Schmidt Science Fellow and postdoctoral scholar at UC Berkeley, developing high-throughput computational imaging systems with Laura Waller and Hillel Adesnik. Before that, he received his PhD in biomedical engineering at Duke University, where he worked with Joseph Izatt, Warren Warren, Sina Farsiu, and Roarke Horstmeyer, and was supported by the NSF GRFP. He received his BS in biomedical engineering at Yale University, where he was supported by the Barry M. Goldwater Scholarship. Kevin's interdisciplinary research focuses on developing both the optical instrumentation and machine learning-driven algorithms for scalable, high-throughput computational optical imaging systems to advance discovery in biology and medicine.

    Host: Dr. Justin Haldar, jhaldar@usc.edu

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

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

  • DREAM Industry Mentorship speaker series- Danny Stedman

    Mon, Apr 01, 2024 @ 12:00 PM - 01:00 PM

    USC Viterbi School of Engineering

    University Calendar

    DREAM Industry Mentorship speaker series connects students with experienced industry professionals from a variety of tech and destination companies who help them create a vision for their futures, align their careers around purpose, and build character in the context of growth, reinvention, and constant change. Industry Mentors discuss how professional challenges present opportunities for character and leadership development. This event features Danny Stedman, founder and CEO at Pressto, on why writing matters and how AI as an intentional learning tool can empower young people to master the writing process. 

    Location: Michelson Center for Convergent Bioscience (MCB) - 102

    Audiences: Everyone Is Invited

    Contact: Elisabeth Arnold Weiss

    Event Link: https://cglink.me/2nB/r394800

  • CSC/CommNetS-MHI Seminar: Prashant Mehta

    Mon, Apr 01, 2024 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Prashant Mehta, Professor, Coordinated Science Laboratory | Department of Mechanical Science and Engineering | University of Illinois at Urbana-Champaign

    Talk Title: Variational principles in control and the arrow of time

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract: There is a certain magic in writing the variational form of the equations in physics and engineering. The most magical of these is Lagrange’s formulation of the Newtonian mechanics. An accessible modern take on this and more appears in the Feb 2019 Issue of The New YorkerI describe a new variational (optimal control-type) formulation of the nonlinear filtering problem, an important feature of which is that the arrow of time reverses. The reversal of time brings about all sorts of paradoxes involving causality. Scenes from Christopher Nolan's sci-fi movie Tenet may be shown for entertainment and educational purposes.

    Apart from movie snippets, the talk will also include technical content. Specifically, I argue that certain foundational aspects of Control Theory – duality between estimation and control – are less than well- understood for nonlinear stochastic systems (hidden Markov models), in part because of the issue of time reversal. Based on the optimal control formulation, I will also discuss some new results on the asymptotic stability of the nonlinear filter.


    Prashant Mehta is a Professor in the Coordinated Science Laboratory (CSL) and the Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign (UIUC). He received his Ph.D. in Applied Mathematics from Cornell University in 2004. He was the co-founder and the Chief Science Officer of the startup Rithmio whose gesture recognition technology was acquired by Bosch Sensortec in 2017. Prior to his academic appointment at UIUC in 2005, he worked at United Technologies Research Center (UTRC) where he co-invented the symmetry-breaking solution to
    suppress combustion instabilities. This solution — which helped solve a sixty-year old open problem — has since become an industry standard and is widely deployed in jet engines and afterburners sold by Pratt and Whitney.Prashant Mehta received the Outstanding Achievement Award at UTRC for his contributions to modeling and control of combustion instabilities in jet-engines. His students have received the Best Student Paper Awards at the IEEE Conference on Decision and Control in 2007, 2009, and most recently in 2019; and have been finalists for these awards in 2010 and 2012. He serves as a member of the IEEE Control Systems Society (CSS) Awards Board and as an Associate Editor for the IEEE Transactions on Automatic Control (2019-present). He is a Fellow of IEEE.

    Host: Dr. Ketan Savla

    More Info: https://csc.usc.edu/seminars/2024Spring/mehta.html

    More Information: 2024.04.01 CSC Seminar - Prashant Mehta.pdf

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

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

    Event Link: https://csc.usc.edu/seminars/2024Spring/mehta.html

  • The Bekey Distinguished Lecture & Munushian Distinguished Lecture Present: Gordon Bell, Microsoft Researcher Emeritus

    Mon, Apr 01, 2024 @ 03:30 PM - 04:30 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Gordon Bell, Microsoft Researcher Emeritus

    Talk Title: Bell's Law of Computer Classes. Why We Have All Kinds of Computers

    Abstract: In 1951, a person could walk inside a computer and by 2010 a single computer (or “cluster’) with millions of processors has expanded to building size.  Alternatively, computers are “walking” inside of us. These ends illustrate the vast dynamic range in computing power, size, cost, etc. for early 21st century computer classes.       A computer class is a set of computers in a particular price range with unique or similar programming environments (e.g. Linux, OS/360, Palm, Symbian, Windows) that support a variety of applications that communicate with people and/or other systems. A new computer class forms roughly each decade establishing a new industry. A class may be the consequence and combination of a new platform with a new programming environment, a new network, and new interface with people and/or other information processing systems.  Bell’s Law accounts for the formation, evolution, and death of computer classes based on logic technology evolution beginning with the invention of the computer and the computer industry in the first generation, vacuum tube computers (1950-1960), second generation, transistor computers (1958-1970), through the invention and evolutions of the third generation TTL and ECL bipolar Integrated Circuits (1965-1985), and the fourth generation bipolar, MOS and CMOS ICs enabling the microprocessor, (1971) represents a “break point” in the theory because it eliminated the other early, more slowly evolving technologies. Moore’s Law (Moore 1965, revised in 1975) is an observation about integrated circuit evolution.  In summary, Moore’s Law and Bell’s effectively predict the ensuing fifty years of the computer.  This lecture satisfies requirements for CSCI 591: Research Colloquium.   To register visit: https://docs.google.com/forms/d/e/1FAIpQLSe6If3BkOATE8onTmrYZNSr0pzWF47TedNKMrwnukr0Ue_k8w/viewform

    Biography: Gordon Bell is a Microsoft Researcher Emeritus He  spent 23 years at Digital Equipment Corporation as Vice President of R&D, responsible for  the first mini- and time-sharing computers and DEC's VAX, with a 6 year sabbatical at Carnegie Mellon. In 1987, as NSF's first, Ass't Director for Computing (CISE), he led the National Research and Education Network panel that became the Internet. In 1987 he established the Gordon Bell Prize to recognize the extraordinary efforts to exploit modern highly parallel computers. Bell maintains three interests: computers: their evolution and use, technology-based startup companies, and lifelogging. He is a member or Fellow of the American Academy of Arts and Sciences, Association of Computing Machinery, Institute of Electrical and Electronic Engineers, the National Academy of Engineering, National Academy of Science, the Australia Academy of Technological Sciences and Engineering and received The 1991 National Medal of Technology. He is a founding trustee of the Computer History Museum, Mountain View, CA. and lives in San Francisco.  http://gordonbell.azurewebsites.net

    Host: Cyrus Shahabi

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

    Audiences: Everyone Is Invited

    Contact: CS Events