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Events for March 22, 2016

  • CANCELLED — USC Stem Cell Seminar: Craig Jordan, University of Colorado Denver

    Tue, Mar 22, 2016 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Craig Jordan, University of Colorado Denver

    Talk Title: Metabolic properties of human leukemia stem cells

    Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series

    Abstract: This seminar will be rescheduled.

    Host: Rong Lu

    Webcast: http://keckmedia.usc.edu/stem-cell-seminar

    Location: Eli & Edythe Broad CIRM Center for Regenerative Medicine & Stem Cell Resch. (BCC) - First Floor Seminar Room

    WebCast Link: http://keckmedia.usc.edu/stem-cell-seminar

    Audiences: Everyone Is Invited

    Contact: Cristy Lytal/USC Stem Cell

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  • Network Approaches to Data-Driven Problems: Fundamental Limits, Scalable Algorithms, and Applications

    Tue, Mar 22, 2016 @ 02:30 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Soheil Feizi, Massachusetts Institute of Technology

    Talk Title: Network Approaches to Data-Driven Problems: Fundamental Limits, Scalable Algorithms, and Applications

    Abstract: In large-scale data-driven problems, network modeling provides a unifying framework to succinctly represent data, reveal underlying data structures, and facilitate experiment design. In practice, however, size, uncertainty and complexity of the underlying associations render these applications challenging. In this talk, I will illustrate the use of spectral, combinatorial, and statistical inference techniques in learning the network topology and subsequent network analysis.

    First, we introduce Network Maximal Correlation (NMC), a multivariate measure of nonlinear association suitable for large datasets. NMC infers transformations of variables to reveal underlying nonlinear dependencies among them. We characterize NMC using geometric properties of Hilbert spaces and illustrate its application in learning graphical models when variables have unknown nonlinear dependencies. Next, we discuss the problem of network alignment that aims to find a bijective mapping across two graphs so that, if two nodes are connected in one graph, their images are also connected in the other graph. This problem has a broad range of applications for comparative network analysis in systems biology, social sciences and engineering areas. To solve this combinatorial problem, we present a new scalable spectral algorithm, and establish its efficiency, theoretically and experimentally, over several synthetic and real networks.

    Biography: Soheil Feizi is a Ph.D. candidate in the Electrical Engineering and Computer Science (EECS) Department at Massachusetts Institute of Technology (MIT), co-supervised by Prof. Muriel Médard and Prof. Manolis Kellis. His research focuses on complex network analysis using tools and concepts from optimization, machine learning, statistical inference and information theory. Previously, he completed a M.Sc. in Electrical Engineering at MIT, where he received the Jacobs Presidential Fellowship and EECS Great Educators Fellowship, as well as an Ernst Guillemin Award for his Master of Science Thesis. He also received the best student award in Electrical Engineering at Sharif University of Technology from where he holds his B.Sc.

    Host: Salman Avestimehr

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

    Audiences: Everyone Is Invited

    Contact: Suzanne Wong

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  • Exponent Information Session

    Tue, Mar 22, 2016 @ 05:30 PM - 07:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Exponent -“ Engineering and Scientific Consulting

    This presentation will provide an introduction of Exponent as a company present and history, examples of types of problems addressed by Exponent consultants, and finally conclude with description of careers and openings / needs.

    More Information: Exponent Info Session.pdf

    Location: Seeley G. Mudd Building (SGM) - SGM 101

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • USC WIC: Grace Hopper Conference Info Session

    Tue, Mar 22, 2016 @ 06:00 PM - 07:00 PM

    Viterbi School of Engineering Student Organizations

    University Calendar


    Want to go to Houston to be a part of the largest gathering of women in technology for free?? Find out more about the Grace Hopper Celebration of Women in Computing (GHC) and scholarship opportunities. If you already have a partial outside scholarships, it would increase your chances of getting a USC scholarship for GHC. Women in Computing will be hosting Lizsl De Leon from the CS department to provide you with more information about this amazing opportunity.

    GHC seeks to inspire women in computing by bringing them together to share their ideas and experiences. The conference offers a number of talks by corporate leaders, engineers, and researchers. There's also a career fair where students get interviews and job offers on the spot! Find out more at their website: http://ghc.anitaborg.org/

    Apply here for GHC16 scholarships

    More Info

    Chick-Fil-A salad, nuggets, and sandwiches will be provided at the event.

    Location: Von Kleinsmid Center For International & Public Affairs (VKC) - 261

    Audiences: Women engineers

    Contact: Sanskriti

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