Data Science Initiative

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    Data Science Initiative

    Data Science in Signal Processing

    Mission and Vision

    Data Science is a theme that is at the core of many activities within the Signal Processing Society. Recently we have seen many IEEE groups focusing or pivoting towards data-driven methods. The mission of the Data Science Initiative (DSI) is to provide a common point of reference for data-related activities in SPS. It will represent the interests of all Technical Committees and Special Interest Groups, focus on providing technical guidance on data matters, and facilitate the organization of data-related activities such as symposia, special sessions, curriculum development, etc.

    Upcoming Conferences

    IEEE ICASSP 2019
    2019 IEEE International Conference on
    Acoustics, Speech, and Signal Processing

    Data Science Initiative image

    Contacts

    Data Science Workshop Websites

    Note: Dates in parenthesis denotes term end date. 

    Steering Committee Members
    Peter Schreier - Chair, (12/31/20) University of Paderborn, Germany
    Frédéric Pascal - Vice Chair, (12/31/20) University Paris-Saclay, France
    Vince Calhoun (12/31/20) University of New Mexico, USA
    Lina Karam (12/31/20) Arizona State University, USA
    Malcolm Slaney (12/31/20) Google, USA

     

    Members
    Ghassan Alregib (12/31/19) W. Clem Karl (12/31/19)
    Waheed Bajwa (12/31/19) Wei Liu (12/31/19)
    Jerome Bellegarda (12/31/19) David J. Miller (12/31/20)
    Sharon Gannot (12/31/20) Zheng-Hua Tan (12/31/20)
    Martin Haardt (12/31/20) Z. Jane Wang (12/31/20)
    Reinhold Häb-Umbach (12/31/20)  

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