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Events for September 22, 2017

  • VIRTUAL Workshop: Navigating the Internship & Job Search

    Fri, Sep 22, 2017

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Discover tips to help you find an engineering internship/co-op opportunity or full-time employment.

    Location: ONLINE

    Audiences: All Viterbi Students

    Posted By: RTH 218 Viterbi Career Connections

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  • Transfer Day

    Fri, Sep 22, 2017

    Viterbi School of Engineering Undergraduate Admission

    Receptions & Special Events


    TRANSFER DAY FEATURES: A presentation from Viterbi Admission, Campus Tours, Academic Department Visits, and more!

    If you have questions about engineering and the transfer process then Transfer Day is for you. Transfer Day is a half-day comprehensive program designed to give you the most in-depth look at the transfer process and academic life at USC. Specifically, the program includes presentations on the admission process, transfer credit policy, academics, financial aid. You will also have the opportunity to visit an academic department or take a campus tour. Reservations are required.

    RSVP

    Location: USC Admission Office

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • A Model-Based Iterative Reconstruction Approach to Tunable Diode Laser Absorption Tomograph

    Fri, Sep 22, 2017 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Zeeshan Nadir, Electrical and Computer Engineering, Purdue University

    Talk Title: A Model-Based Iterative Reconstruction Approach to Tunable Diode Laser Absorption Tomography

    Abstract: Many imaging and sensing problems in the fields of medical imaging, computer vision, machine learning, communications and signal processing etc. can be posed as inverse problems. Broadly, an inverse problem consists of recovering some underlying signal of interest that leads to a directly observable measurement dataset where the measurement dataset may be corrupted by noise. In the presence of sufficient quantity of good quality measurement dataset, the inversion problem can often be solved by direct methods often involving closed form inverse formulas like filtered back projection. However, when the measurement data contains noise or is extremely sparse, then such conventional techniques do not work. Tunable Diode Laser Absorption Tomography (TDLAT) is such an ill-posed nonlinear inverse problem where 2D concentration and temperature images are required to be reconstructed from a handful of projection measurements.

    Bayesian methods are a probabilistic approach to reconstruct signals by incorporating prior information about the signals in the form of a prior probability distribution. Typical 2D prior models like Markov Random Field enforce local smoothness on the images by penalizing differences between neighboring pixels. However, the major limitation of such prior models is that they cannot express non-homogeneous and non-Gaussian characteristics of the images and therefore cannot model the long-range correlations between image pixels. In this presentation, I shall present a Gaussian Mixture Model as a prior distribution which can be trained with a few training examples. In order to show the utility of this approach, I shall apply it to Tunable Diode Laser Absorption Tomography problem. I shall formulate the reconstruction problem as a Maximum-aposteriori estimation problem. I shall present an efficient multigrid algorithm to perform the resulting optimization. The results using simulated datasets show that the proposed approach can reduce reconstruction error while also resulting in a computationally efficient algorithm.

    Biography: Zeeshan Nadir is a Ph.D. candidate in the school of Electrical and Computer Engineering, Purdue University, West Lafayette, IN. In Summer 2016, he was an intern at MathWorks, Inc., Natick, MA, where he worked on MATLAB coder package. He developed a new functionality in MATLAB Coder which has been incorporated in MATLAB R2017a release. His research interests include statistical signal processing, inverse problems, computational imaging, machine learning and computer vision.



    Host: Hosted by Prof. Richard Leahy

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

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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  • Department of Biomedical Engineering Systems Cellular-Molecular Bioengineering Distinguished Speaker Series

    Fri, Sep 22, 2017 @ 11:00 AM - 12:00 PM

    Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ravi Iyengar, Professor, Pharmacological Sciences Director, Institute for Systems Biomedicine Icahn School of Medicine at Mount Sinai

    Talk Title: Information from cell shape controls cellular responses

    Series: Department of Biomedical Engineering Systems Cellular-Molecular Bioengineering Distinguished Speaker Series

    Biography: Dr. Iyengar is a Dorothy H. and Lewis Rosenstiel Professor in the Department of Pharmacologyand Systems Therapeutics. He is the Director and Principal Investigator of the NIGMS funded SystemsBiology Center New York. Dr. Iyengar completed his undergraduate and masters degrees at Bombay University in India. He then moved to the University of Houston and completed his Ph.D. training in Biophysical Sciences. He was a postdoctoral fellow at the Baylor College of Medicine before starting an academic career at Mt. Sinai in 1980.
    The Iyengar lab is interested in understanding cellular regulatory networks at a systems level and in using this understanding to develop therapeutic strategies and phenotypic signatures for complex diseases. Dr. Iyengar is especially interested in the role of cell shape and its relationship to extracellular spaces within tissue in information processing, and he uses a combination of experimental, theoretical and computational approaches to study these questions. Dr. Iyengar has authored more than 120 research papers, written 112 invited review articles, and edited six books. He received the NIH New Investigator Award in 1980, received the Established Investigator Award from the American Heart Association, and is a Fellow of the American Association for the Advancement of Science (AAAS).


    Host: Stacey Finley, PhD

    More Information: Iyengar Ravi_flyer_September 22.pdf

    Location: Corwin D. Denney Research Center (DRB) - 145

    Audiences: Everyone Is Invited

    Posted By: Mischalgrace Diasanta

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  • AI Seminar

    Fri, Sep 22, 2017 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Erick Moen, USC

    Talk Title: ADVANCED METHODOLOGIES FOR THE INVESTIGATION OF TRANSIENT MEMBRANE BEHAVIOR

    Abstract: Understanding how biology responds to stimuli is one of the most challenging, yet fundamental, questions in biophysics. An in depth analysis of this relationship would allow for the development of more powerful biomedical tools and could provide a roadmap for more intelligent artificial systems. To conduct this type of research, though, we need tools to ask increasingly incisive questions of the cell membrane, the epicenter of cell function. In light of these needs, this talk will describe a nonlinear optical measurement technique developed to rapidly detect subtle changes in cell membrane structure. The method is tested in multiple cell lines and the in vitro results are validated against a complementary model of the cell membrane. The measurement technique is then used to explore transmembrane potential and investigate the mechanisms underlying neuronal stimulation and inhibition. The talk will conclude with an overview of concurrent efforts to develop a multi-faceted virtual reality VR suite for immersive scientific computing and data visualization. While this work is broadly applicable to a number of fields, the approach is used here to help better understand results from in silico studies of dynamic membrane behavior. As time allows, I will discuss how specific aspects of this research could be improved by machine learning approaches and how the projects can be extended from the single cell level to networked systems.



    Biography: Personal Bio:

    Erick Moen is a Research Associate with the Center for Cyber Physical Systems and the Internet of Things at the University of Southern California in Los Angeles, CA. He is multidisciplinary scientist who develops new ways to measure and understand biology through nonlinear optics, high performance computing, and virtual reality. In addition to his primary lines of research, his interests extend to resonator physics, sensor technology, and artificial intelligence.

    Dr. Moen received his Ph.D. in Electrical Engineering from USC. He also holds M.S. degrees in both Electrical Engineering and Computer Science. Last year, he was named a Ming Hsieh Institute Scholar awarded to the top students in the department. Dr. Moen also serves as a consultant for the Entertainment Technology Center at USC holding the mirror for an organization helping Hollywood see around corners. Prior to entering graduate school, he converted a Porsche 914 into a rolling testbed for electric vehicle research and spent time in industry as a principal of a building design and engineering firm.

    Host: Kristina Lerman

    Webcast: http://webcastermshd.isi.edu/Mediasite/Play/bb07f909a5de42d2bdb831b5fd708d611

    Location: Information Science Institute (ISI) - 11th floor large conference room

    WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/bb07f909a5de42d2bdb831b5fd708d611d

    Audiences: Everyone Is Invited

    Posted By: Kary LAU

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  • W.V.T. RUSCH ENGINEERING HONORS COLLOQUIUM

    Fri, Sep 22, 2017 @ 01:00 PM - 02:00 PM

    USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars


    Speaker: Doug Heckmann, Investment Manager at LH Ventures

    Talk Title: Entrepreneurial Ventures

    Location: Henry Salvatori Computer Science Center (SAL) - 101

    Audiences: Everyone Is Invited

    Posted By: Su Stevens

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  • Astani Civil and Environmental Engineering Ph.D. Seminar

    Fri, Sep 22, 2017 @ 03:00 PM - 04:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ali Kazemian and Mohammad Motie Share , Astani CEE Graduate Students

    Talk Title: TBA

    Location: Waite Phillips Hall Of Education (WPH) - B27

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Probability and Statistics Seminar: Ilya Mironov (Google Brain) - Differential Privacy: From Principled Foundations to Your Browser

    Fri, Sep 22, 2017 @ 03:20 PM - 04:30 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Ilya Mironov, Google Brain

    Talk Title: Differential Privacy: From Principled Foundations to Your Browser

    Series: Probability and Statistics Seminar

    Abstract: We survey progress in understanding of privacy in statistical databases over the last 10+ years, starting with early negative results followed by emergence of the notion of differential privacy and its variants. In the second half of the talk we cover uses of differential privacy in the Chrome browser, and its recent applications in machine learning tasks such as text and image recognition.

    Biography: Ilya Mironov is a Staff Research Scientist in Google Brain. After completing his PhD at Stanford in 2003, he joined Microsoft Research Silicon Valley, where he worked on cryptography, cryptanalysis, and privacy until 2014.

    Host: Stanislav Minsker

    Location: Kaprielian Hall (KAP) - 414

    Audiences: Everyone Is Invited

    Posted By: Computer Science Department

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