Data Science Initiative

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Data Science Initiative

Data Science Initiative image

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

  • May 22-23, 2022: DSLW 2022 - 2022 IEEE Data Science and Learning Workshop

Contacts

Data Science Workshop Websites

Note: Dates in parenthesis denotes term end date. 


Steering Committee Members
Sharon Gannot - Chair / TC (12/31/23) Bar-Ilan University, Israel
Peter Schreier - Vice Chair / SPTM TC (12/31/22) University of Paderborn, Germany
Selin Aviyente / SPTM TC (12/31/22) Michigan State University, USA
Vince Calhoun / BISP TC (12/31/22) University of New Mexico, USA
Xavier Mestre (12/31/22) Centre Tecnològic de Telecomunicacions de Catalunya,
Ignacio Santamaria  (12/31/22) University of Cantabria, Spain
Z. Jane Wang  (12/31/22) The University of British Columbia, Canada
Arie Yeredor (12/31/22) Tel Aviv University, Israel

 

Members
Selin Aviyente / SPTM TC (12/31/22) Reinhold Häb-Umbach / SL TC (12/31/20)
Waheed Bajwa / SAM TC, SPCOM TC(12/31/21) Wei Liu / SAM TC(12/31/21)
Hsun-Hsien Shane Chang / BISP TC (12/31/21) David J. Miller / MLSP TC (12/31/20)
Yuejie Chi / SAM TC (12/31/21) Zheng-Hua Tan / MLSP TC (12/31/20)
Sharon Gannot / AASP TC (12/31/20) Hoi-To Wai / SPCOM TC (12/31/21)
Martin Haardt / SAM TC (12/31/20) Z. Jane Wang / MMSP TC, IFS TC (12/31/22)

SPS on Twitter

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