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Events for March 28, 2017

  • USC Stem Cell Seminar: Hongkui Deng, Peking University

    Tue, Mar 28, 2017 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Hongkui Deng, Peking University

    Talk Title: TBD

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

    Host: USC Stem Cell

    More Info: http://stemcell.usc.edu/events

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

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

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

    Audiences: Everyone Is Invited

    Contact: Cristy Lytal/USC Stem Cell

    Event Link: http://stemcell.usc.edu/events

  • CS Colloquium: Yeongjin Jang (Georgia Tech) - Protecting Computing System Interactions

    Tue, Mar 28, 2017 @ 11:00 AM - 12:20 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Yeongjin Jang, Georgia Tech

    Talk Title: Protecting Computing System Interactions

    Series: CS Colloquium

    Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.

    Computing platforms are evolving from desktops to Smartphones to the Internet of things (IoT) devices. In this change, computer systems have started embedding an amazing variety of interaction points in both software and hardware forms. While such changes have made everyday life easier by enabling various convenient features, protecting these systems has become much more difficult. This is not only because system complexity has increased with the integration of more interactions and often conflicts with the existing security mechanisms, but also because improper security practices or incomplete security checks result from faster production cycles that generally lead to more security holes.

    In this talk, Yeongjin will present his research on protection of computing system interactions. First, he will present Gyrus, a user interaction monitoring system that reflects user\'s intention to network traffic monitoring. Gyrus can protect user-to-network interactions such as sending message online and online banking. Next, he will present a result of security analysis on user I/O in operating systems,
    in which he discovered computer accessibility as a new attack vector. The analysis found 12 new attacks in popular operating systems, and he discusses countermeasures against the vulnerabilities to keep the affected systems secure.

    Biography: Yeongjin Jang is a Ph.D. candidate in Computer Science at the Georgia Institute of Technology. His research focuses on security and privacy problems of computing systems, which include operating systems, mobile systems, and computing hardware.

    His research results are recognized for their highly practical impact, as noted by one award and two nominations for the CSAW best applied research paper. Moreover, his research has been widely covered in popular media including Forbes, Wired, MIT Technology Review, and more.

    Yeongjin received his M.S. from Georgia Tech in 2016 and B.S. from KAIST in 2010.

    Host: CS Department

    Location: Ronald Tutor Hall of Engineering (RTH) - 217

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

  • PhD Defense - Christopher Wienberg

    Tue, Mar 28, 2017 @ 11:00 AM - 01:00 PM

    Thomas Lord Department of Computer Science

    University Calendar

    Title: Demographic Bias Correction for Social Media Data

    PhD Candidate: Christopher Wienberg

    Date and Time: Tuesday, March 28th, 11:00am
    Location: Zumberge Hall (ZHS) 360

    For generations, people have been keeping records of their everyday lives. The web is now a popular place for people to document their personal lives, replacing journals and diaries popular decades ago. The popularity of weblogs and social media has provided an unique opportunity to study people at a massive scale. Social media researchers have seized this chance to use social media data to predict and measure social phenomena, such as elections, economic activity, and public health. While these researchers\' work has shown promise, they frequently highlight a challenge with web data: web users, as a group, are dissimilar (e.g. younger, wealthier) from most offline populations.

    Demographic representativity is an issue that economists and other social scientists deal with regularly. They have found that re-weighting survey samples based on demographic variables like age and gender can improve the accuracy of survey results. They directly account for this need by asking survey respondents to provide their demographic background. In contrast, social media analysts do not have immediate access to these demographic variables.

    This dissertation proposes and evaluates a practical approach for making social predictions from social media data while contending with demographic representativity issues. It describes the collection and analysis of reliable data describing a population of web users. Social predictions are drawn from this population, with various bias correction techniques evaluated by comparing to gold standard data from traditionally collected surveys. Special attention is paid to important practical considerations, such as errors introduced by automated methods to characterize the demographic and other attributes of individual users and their impact on predictions for the broader population.

    Andrew S. Gordon (chair)
    Ellis Horowitz
    Arie Kapteyn

    Location: James H. Zumberge Hall Of Science (ZHS) - 360

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

  • Illumina Office Hours

    Tue, Mar 28, 2017 @ 01:30 PM - 04:00 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events

    Walk-in office hours with representatives from Illumina.

    Location: Ronald Tutor Hall of Engineering (RTH) - 218

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

  • Epstein Seminar, ISE 651

    Tue, Mar 28, 2017 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Ilan Adler, Professor, UC Berkeley

    Talk Title: Incentive Compatible Mechanisms for the Secretary Problem

    Host: Prof. Sheldon Ross

    More Information: March 28, 2017_Adler.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Contact: Grace Owh

  • Illumina Information Session

    Tue, Mar 28, 2017 @ 05:30 PM - 07:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Calling all undergraduates, grad and post-docs interested in solving problems that really matter - we want to meet you! Our team from different parts of the business will be hosting a panel discussion event with networking to follow. Come and hear what it\'s really like to work at Illumina and please bring your questions. Dinner is on us - see you there!

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

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections