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Events Calendar



Events for September

  • 2014 CiSoft Seminar

    Tue, Sep 09, 2014 @ 12:00 PM - 01:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Mr. Jim Crompton, Founder, Reflections Data Consulting

    Talk Title: Unconventional Resource Plays: shale and tight reservoirs

    Series: CiSoft Seminar

    Host: CiSoft

    Webcast: http://usccisoft.omnovia.com/register/7710140978600

    Location: Ronald Tutor Hall of Engineering (RTH) - 324

    WebCast Link: http://usccisoft.omnovia.com/register/77101409786000

    Audiences: Please RSVP: legat@usc.edu

    Posted By: Juli Legat

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  • AI SEMINAR

    Fri, Sep 12, 2014 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Pascal Van Hentenryck, National ICT Australia (NICTA)

    Talk Title: Measuring and Optimizing Cultural Markets

    Abstract: Social influence has been shown to create significant unpredictability
    in cultural markets, providing one potential explanation why experts
    routinely fail at predicting commercial success of cultural
    products. To counteract the difficulty of making accurate predictions,
    ``measure and react'' strategies have been advocated but finding a
    concrete strategy that scales for very large markets has remained
    elusive so far. Here we propose a ``measure and optimize'' strategy
    that uses product quality, appeal, and social influence to maximize
    expected profits in the market. Computational experiments show that
    our ``measure and optimize'' strategy can leverage social influence to
    produce significant performance benefits for the market. Our
    theoretical analysis also proves that a ``measure and optimize''
    strategy with social influence outperforms in expectation any
    ``measure and react'' strategy not displaying social information. In
    other words, we show for the first time that dynamically showing
    consumers positive social information increases the expected
    performance of the seller in cultural markets, when using a ``measure
    and optimize'' strategy.

    Biography: Pascal Van Hentenryck leads the Optimisation Research Group (about 75
    people) at National ICT Australia (NICTA). He also holds a
    Vice-Chancellor Strategic Chair in data-intensive computing at the
    Australian National University. Van Hentenryck is the recipient of
    two honorary degrees and a fellow of the Association for the
    Advancement of Artificial Intelligence. He was awarded the 2002
    INFORMS ICS Award for research excellence in operations research and
    compute science, the 2006 ACP Award for research excellence in
    constraint programming, the 2010-2011 Philip J. Bray Award for
    Teaching Excellence at Brown University, and was the 2013 IFORS
    Distinguished speaker. Van Hentenryck is the author of five MIT Press
    books and has developed a number of innovative optimisation systems
    that are widely used in academia and industry.

    Host: Kristina Lerman

    More Info: TBA

    Webcast: TBA

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

    WebCast Link: TBA

    Audiences: Everyone Is Invited

    Posted By: Kary LAU

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  • Seminars in Engineering, Neuroscience & Health (ENH)

    Mon, Sep 15, 2014 @ 03:50 PM - 04:50 PM

    Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Charles Y. Liu, M.D. Ph.D., Surgical Director of the Keck Medical Center of USC Comprehensive Epilepsy Program Director of Neurosurgery and Spine at Rancho Los Amigos National Rehabilitation Center

    Talk Title: Maximizing Unique Opportunities from Clinical Neurosciences for Human Nervous System Functional Restoration Research

    Series: Seminars in Engineering, Neuroscience & Health (ENH)

    Abstract: From the perspective of the clinical neurosciences, the treatment of nervous system disorders has largely been limited by the inability to restore lost neurological function, despite successful strategies to arrest or slow down the underlying processes. However, recent developments in the basic neurosciences and neural engineering are potentially expanding the horizons in this regard. The typical roadmap for translational application of basic discoveries to application to patients involves the progression from in-vitro experiments to animal models (including non-human primates) to human testing. In this sequence, the step from animal models to human work typically generates the most scrutiny, requires the most resources, and in many cases represents the barrier for ultimate benefit to patients. The USC Center for Neurorestoration has been established from the perspective of the clinical neurosciences to address this specific challenge. The vision is to create large scale clinical programs that run in parallel with collaborative research programs in engineering and neuroscience that take maximum advantage of opportunities for direct human recordings, or access to human neural tissue. The Center consists of an amalgam of clinical entities (USC Keck Hospital, LAC-USC Medical Center, and Rancho Los Amigos National Rehabilitation Center) and research entities (USC Keck School of Medicine, Viterbi School of Engineering, and California Institute of Technology) as the core resources. It is designed to synergize with other Centers and Institutes at each of the partner entities, providing a unique voice from the perspective of the clinical neurosciences of neurosurgery and neurology.

    Biography: This seminar is also streaming live at:
    HSC: CHP 147 - Video Conference
    Center for the Health Professional
    HSC Campus Map/Directions: http://www.usc.edu/about/visit/hsc/

    Live webcast and web-archive
    http://capture.usc.edu/Mediasite/Catalog/Full/946350f1ca8440e7b867e16adba01e4e21/?state=xJE9EJIqlAdw4AAliKfp

    Complete schedule of speakers and information about all prior seminars can be found at
    http://bbdl.usc.edu/ENH
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    Host: Francisco Valero-Cuevas

    Webcast: http://capture.usc.edu/Mediasite/Catalog/Full/946350f1ca8440e7b867e16adba01e4e21/?state=xJE9EJIqlAdw4AAliKf

    Location: Olin Hall of Engineering (OHE) - 100D

    WebCast Link: http://capture.usc.edu/Mediasite/Catalog/Full/946350f1ca8440e7b867e16adba01e4e21/?state=xJE9EJIqlAdw4AAliKfp

    Audiences: Everyone Is Invited

    Posted By: Mischalgrace Diasanta

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  • AI SEMINAR - Query-driven approach to entity resolution

    Fri, Sep 26, 2014 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Dmitri V. Kalashnikov , UCI

    Talk Title: Query-driven approach to entity resolution

    Series: AISeminar

    Abstract: The significance of data quality research is motivated by the observation that the effectiveness of data-driven technologies such as decision support tools, data exploration, analysis, and scientific discovery tools is closely tied to the *quality of data* to which such techniques are applied. It is well recognized that the outcome of the analysis is only as good as the data on which the analysis is performed. That is why today organizations spend a substantial percentage of their budgets on cleaning tasks such as removing duplicates, correcting errors, and filling missing values, to improve data quality prior to pushing data through the analysis pipeline.

    Given the critical importance of the problem, many efforts, in both industry and academia, have explored systematic approaches to addressing the cleaning challenges. This talk focuses primarily on the *entity resolution* challenge that arises because objects in the real world are referred to using references or descriptions that are not always unique identifiers of the objects, leading to ambiguity.

    Traditionally, data cleaning is performed as a preprocessing step when creating a data warehouse prior to making it available to analysis -- an approach that works well under standard settings. Cleaning the entire data warehouse, however, can require a considerable amount of time and significant computing resources. Hence, this approach is often suboptimal for many modern query-driven and Big Data applications that need to analyze only small portions of the entire dataset and produce answers "on-the-fly" and in real-time.

    To address these new cleaning challenges, we have developed a *Query-Driven Approach (QDA)* to data cleaning. QDA exploits the specificity and semantics of the given SQL selection query to significantly reduce the cleaning overhead by resolving only those records that may influence the answer of the query. It computes answers that are equivalent to those obtained by first using a regular cleaning algorithm, and then querying on top of the cleaned data. However, in many cases QDA can compute these answers much more efficiently.

    A key concept driving the QDA approach is that of *vestigiality*. A cleaning step (i.e., call to the resolve function for a pair of records) is called vestigial (redundant) if QDA can guarantee that it can still compute correct final answer without knowing the outcome of this resolve. We formalize the concept of vestigiality in the context of a large class of SQL selection queries and develop techniques to identify vestigial cleaning steps. Technical challenges arise since vestigiality, as we will show, depends on several factors, including the specifics of the cleaning function (e.g., the merge function used if two objects are indeed duplicate entities), the predicate associated with the query, and the query answer semantics of what the user expects as the result of the query. We show that determining vestigiality is NP-hard and propose an effective approximate solution to test for vestigiality that performs very well in practice.

    The comprehensive empirical evaluation of the proposed approach demonstrates its significant advantage in terms of efficiency over traditional techniques for query-driven applications.

    Biography: http://www.ics.uci.edu/ dvk/CV/dvk_bio.txt

    Dmitri V. Kalashnikov is an Associate Adjunct Professor of Computer Science at the University of California, Irvine. He received his PhD degree in Computer Science from Purdue University in 2003. He received his diploma in Applied Mathematics and Computer Science from Moscow State University, Russia in 1999, graduating summa cum laude.

    His general research interests include databases and data mining. Currently, he specializes in the areas of entity resolution & data quality, and real-time situational awareness. In the past, he has also contributed to the areas of spatial, moving-object, and probabilistic databases.

    He has received several scholarships, awards, and honors, including an Intel Fellowship and Intel Scholarship. His work is supported by the NSF, DH&S, and DARPA.

    Host: Greg Ver Steeg

    Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=dd8c0e0eef1749fdb4bc581af408d8561

    Location: Information Science Institute (ISI) - 1135

    WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=dd8c0e0eef1749fdb4bc581af408d8561d

    Audiences: Everyone Is Invited

    Posted By: Alma Nava / Information Sciences Institute

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