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    SPS Conferences and Events

    The IEEE Signal Processing Society sponsors technical conferences, symposia and workshops dedicated to fostering networking opportunities with peers from around the world, and to exchange leading-edge, peer-reviewed scientific and technological knowledge. The Society hosts a number of worldwide events throughout the year, enabling members to exchange knowledge and network with leading scientists among many signal processing disciplines while exploring countries around the world. If you’re interested in attending an event or getting involved in the research or planning process, explore the calendar of events to learn more. Visit the Call for Papers page for conference call for paper submission deadlines. If you’re a student, you may be interested in attending one of the Society’s Seasonal Schools in Signal Processing (S3P) Program. The Society's Distinguished Lecturer Program provides means for chapters to have access to individuals who are well known educators and authors in the fields of signal processing.

     

    Choose from a List of our Events:

    03 Feb

    Anna Scaglione (Arizona State University, USA)

    Lecture Date: February 3, 2020
    Chapter: Utah
    Chapter Chair: Mingyu Ji
    Topic: Opinion Dynamics in Social Networks

    03 Mar

    Gaurav Sharma (University of Rochester, USA)

    Lecture Date: March 3, 2020
    Chapter: Western Puerto Rico
    Chapter Chair: Rogelio Palomera-Garcia
    Topics: Imaging Arithmetic: Physics U Math + Math

    10 Mar 11 Mar

    Israel Cohen (Israel Institute of Technology, Israel)

    Lecture Date: March 10-11, 2020
    Chapter: Gujarat
    Chapter Chair: Suman K. Mitra
    Topic: Signal Enhancement and Array Signal Processing,
    Audio-Visual Voice Activity Detection Using Deep Neural Networks

    12 Mar 13 Mar

    Israel_Cohen_Lecturer.jpg

    Israel Cohen (Israel Institute of Technology, Israel)

    Lecture Date: March 12-13, 2020
    Chapter: Pune
    Chapter Chair: Anil S. Tavildar
    Topic: Array processing and beamforming with Kronecker products,
    Audio-Visual Voice Activity Detection Using Deep Neural Networks

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