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

 

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
Paris Smaragdis (12/31/20) University of Illinois at Urbana-Champaign, USA

 

Members
  • Ghassan Alregib
  • Martin Haardt
  • Reinhold Häb-Umbach
  • Jerome Bellegarda
  • David Miller
  • Zheng-Hua Tan
  • Sharon Gannot
  • Clem Karl
  • Wei Liu
  • Waheed Bajwa
  • Jane Wang

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