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SUNMONTUEWEDTHUFRISAT

Events for the 2nd week of June

  • Repeating EventNAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Sun, Jun 04, 2017

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Abstract: To attend:
    Go to http://2017namrc-msec.usc.edu/ and register for the conference.


    Host: Yong Chen

    More Info: http://2017namrc-msec.usc.edu/

    Audiences: Everyone Is Invited

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    Contact: Michele ISE

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  • Repeating EventNAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Mon, Jun 05, 2017

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Abstract: To attend:
    Go to http://2017namrc-msec.usc.edu/ and register for the conference.


    Host: Yong Chen

    More Info: http://2017namrc-msec.usc.edu/

    Audiences: Everyone Is Invited

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    Contact: Michele ISE

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  • Repeating EventNAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Tue, Jun 06, 2017

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Abstract: To attend:
    Go to http://2017namrc-msec.usc.edu/ and register for the conference.


    Host: Yong Chen

    More Info: http://2017namrc-msec.usc.edu/

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Michele ISE

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  • Repeating EventNAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Wed, Jun 07, 2017

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Abstract: To attend:
    Go to http://2017namrc-msec.usc.edu/ and register for the conference.


    Host: Yong Chen

    More Info: http://2017namrc-msec.usc.edu/

    Audiences: Everyone Is Invited

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    Contact: Michele ISE

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  • PhD Defense - Zahra Nazari

    Wed, Jun 07, 2017 @ 01:00 PM - 02:00 PM

    Computer Science

    University Calendar


    PhD Candidate: Zahra Nazari

    Date: Wed, June 7th
    Time : 1 PM
    Location: KAP134

    Committee :
    Dr. Jonathan Gratch
    Dr. Milind Tambe
    Dr Peter Kim

    Title : Automated Negotiation with Humans


    Negotiation is a crucial skill in personal and organizational interactions. In the last two decades, there has been a growing interest to create agents that can autonomously negotiating with other agents. The focus of this thesis, however, is on creating agents that can negotiate with human opponents. Besides improving on artificial social intelligence, such agents could be used for the purpose of training or assisting human negotiators. A central challenge is to handle the complexity of actual human behavior. When compared with idealized game-theoretic models,
    human negotiations are far richer, both in terms of the nature of information exchanged and the number of factors that inform their decision-making.

    We consider a negotiation task that is simple, yet general enough to drive agent-human research, and
    analyze an extensive data set of transcribed human negotiation on such tasks.
    Based on human behavior in this task, and the previous research on human negotiations, we propose a new framework to structure the design of agents that negotiate with people. We address two main decision problems inspired by this framework: modeling and influencing the opponent. Three techniques are proposed to model an opponent's preferences and character (e.g. honesty and personality traits) and a misrepresentation technique is then used to influence the opponent and gain better profit. The proposed techniques are then implemented in automatic web-based agents. We ran a number of negotiations between these agents and humans recruited on Amazon Mechanical Turk. The resulting data show that the agents can perform these strategies successfully when negotiating with human counterparts and give us valuable insight about the behavior of humans when negotiating with an agent.

    Location: Kaprielian Hall (KAP) - 134

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • PhD Defense - Rose Yu

    Wed, Jun 07, 2017 @ 01:30 PM - 03:30 PM

    Computer Science

    University Calendar


    PhD Candidate: Rose Yu

    Date: June 7, 2017
    Time: 1:30-3:30pm
    Location: SAL 213

    Committee:
    Yan Liu
    Cyrus Shahabi
    Mahdi Soltanolkotabi (outside member)


    Title:
    Tensor learning for Large-Scale Spatiotemporal Analysis

    Abstract:
    Spatiotemporal data is ubiquitous in our daily life, including climate, transportation,
    and social media. Today, data is being collected at an unprecedented scale.
    Yesterdays concepts and tools are insufficient to serve tomorrow's data-driven
    decision makers. Particularly, spatiotemporal data often demonstrates complex
    dependency structures and is of high dimensionality. This requires new machine
    learning algorithms that can handle highly correlated samples, perform efficient
    dimension reduction, and generate structured predictions.

    In this talk, I will present tensor methods, a scalable framework for capturing
    high-order structures in spatiotemporal data. I will demonstrate how to learn from
    spatiotemporal data efficiently in both offline and online setting. I will also show
    interesting discoveries by our methods in climate and social media applications.

    Location: 213

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Repeating EventNAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Thu, Jun 08, 2017

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference

    Abstract: To attend:
    Go to http://2017namrc-msec.usc.edu/ and register for the conference.


    Host: Yong Chen

    More Info: http://2017namrc-msec.usc.edu/

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Michele ISE

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  • CAIS Seminar: Dr. Sriram Rajamani (Microsoft Research, India) - Overview of Microsoft Research India

    Fri, Jun 09, 2017 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Sriram Rajamani, Microsoft Research, India

    Talk Title: Overview of Microsoft Research India

    Series: Center for AI in Society (CAIS) Seminar Series

    Abstract: Founded in 2005, Microsoft Research India just turned 12 years old. Their work spans 4 areas: (1) Algorithms, data science and theory, (2) machine learning and AI, (3) systems including programming languages, security, privacy and networking, and (4) technology for socio-economic development. Dr. Rajamani will give an overview of Microsoft Research India's people and research, and explain a couple of systems projects (in the area of security and privacy) in some detail.

    Career opportunities at MSR India will also be presented; students are encouraged to apply!

    Host: Milind Tambe

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

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • AI Seminar

    Fri, Jun 09, 2017 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Dmitri Williams, USC Annenberg School for Communication

    Talk Title: TAMING AND TRAINING SOCIAL DRAGONS COMBINING BIG DATA WITH SOCIAL SCIENCE IN GAMES AND BEYOND

    Abstract: Organizations are hungry to leverage their data but often confused about where to begin. Most dont have theoretical frameworks or an understanding of how to apply the results in their workflow and systems. At the same time, the potential and demand for harnessing these data especially on networks and relationships have never been greater. In this talk, I will share a new technique and metric for using these data to measure the impact of people on each other for a range of applications. Validation and tests of the measure come from field work covering nearly a billion consumers, viewers, and players.



    Biography: Dmitri Williams is an associate professor at the USC Annenberg School for Communication and Journalism. His research focuses on the social and economic impacts of new media, with a focus on online games. Williams was the first researcher to use online games for experiments and to undertake longitudinal research on them. He continues to study the psychology of online populations, with projects involving community, identity, sexuality, economics and machine learning. He is also the President of Ninja Metrics, a university startup focusing on big data. His work has been featured on NPR, CNN, Fox, NBC and CBS, as well as in the Economist, the New York Times, and other outlets.

    Host: Mayank Kejriwal

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

    Audiences: Everyone Is Invited

    Contact: Kary Lau

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  • NL Seminar-Introduction to Graph Signal Processing:Tools for Harmonic Analysis on Irregular Structures

    Fri, Jun 09, 2017 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Benjamin Girault , USC

    Talk Title: Introduction to Graph Signal Processing: Tools for Harmonic Analysis on Irregular Structures

    Series: Natural Language Seminar

    Abstract: Abstract: During the past few years, graph signal processing has been extending the field of signal processing on Euclidean spaces to irregular spaces represented by graphs. We have seen successes ranging from the Fourier transform, to wavelets, vertex-frequency time frequency decomposition, sampling theory, uncertainty principle, or convolutive filtering. This presentation introduces the field, the type of signals involved, and how harmonic analysis is performed.



    Biography: Benjamin Girault received his License B.Sc. and his Master M.Sc. in France from Ecole Normale Supérieure de Cachan, France, in 2009 and 2012 respectively in the field of theoretical computer science. He then received his PhD in computer science from Ecole Normale Supérieure de Lyon, France, in December 2015. His dissertation entitled Signal Processing on Graphs Contributions to an Emerging Field" focuses on extending the classical definition of stationary temporal signals to stationary graph signal. Currently, he is a postdoctoral scholar with Professors Antonio Ortega and Shri Narayanan at the University of Southern California continuing his work on graph signal processing with a focus on applying these tools to understanding human behavior.

    Host: Marjan Ghazvininejad and Kevin Knight

    More Info: http://nlg.isi.edu/nl-seminar/

    Location: Information Science Institute (ISI) - 6th Flr Conf Rm -# 689

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

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