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.
The DSI has been extensively involved in educational activities aiming to define the uniqueness of the signal processing perspective in DS education.
- ICASSP 2022 Panel - Data Science Education: The Signal Processing Perspective
- IEEE SPS AI Panel - The Impact of Recent ML & AI Advancements in Signal Processing Education (organized by the SPS Education Center)
- IEEE Signal Processing Magazine - Data Science Education: The Signal Processing Perspective
Upcoming Conferences & Events
- Data Science for Telepresence and Extended Reality Applications: Signal processing and data science play a crucial role in the success of telepresence and extended reality systems. However, existing conferences and workshops tend to focus mainly on the computer vision and autonomous systems aspects of these technologies. This Workshop will bring together signal processing experts, data scientists, computer scientists, biomedical engineers, and psychologists to advance telepresence and immersive reality systems, making them ready for real-world deployment. Organized by Tiago H. Falk, Sharon Gannot, Daniele Giacobello and Nobutaka Ito.
- DSLW 2025: Generative Data Augmentation for Real-World Signal Processing Applications. Organized by Minje Kim, Dinesh Manocha, John Hershey and Trausti Kristjansson.
- TReNDS and the DSI co-sponsor the Brain Space Initiative Talk Series with monthly talks on various neuroimaging topics by experts in the field.
- Monthly event: DSI Webinar series on Data Science on Graphs (DEGAS). These monthly talks provide the SP community with updates and advances in learning and inference on graphs. Signal processing and machine learning often deal with data living in regular domains such as space and time. This webinar series covers the extension of these methods to network data.
Contacts
| Data Science Workshop Websites |
Members
Note: Dates in parenthesis denotes term end date.
Steering Committee Members | |
|---|---|
| Sharon Gannot - Chair / TC (12/31/26) | Bar-Ilan University, Israel |
| Selin Aviyente - Vice Chair / (12/31/26) | Michigan State University, USA |
| Vince Calhoun / BISP TC (12/31/26) | Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, USA |
| Geert Leus (12/31/26) | Delft University of Technology, The Netherlands |
| Arvind Rao / BISP TC (12/31/27) | University of Michigan, USA |
| Dorina Thanou (12/31/26) | École Polytechnique Fédérale de Lausanne, Switzerland |
| Alle-Jan van der Veen (12/31/27) | TU Delft, Netherlands |
| Z. Jane Wang (12/31/27) | University of British Columbia, Canada |
Members (Term ends: 12/31/2026) | |
|---|---|
| Name | Associated TC |
| Li Cheng | MMSP TC |
| Aladine Chetouani | MMSP TC |
| Remi Cogranne | IFS TC |
| Angelo Coluccia | SAM |
| Rodrigo De Lamare | SPCOM TC |
| Tiago Henrique Falk | AASP TC & IEEE Telepresence |
| Yin Feng | MLSP TC |
| William Hartmann | SL TC |
| Paul Honeine | SPTM TC |
| Youzuo Lin | CI TC |
| Yipeng Liu | CI TC |
| Eleftherios Kofidis | SPTM TC |
| Weizhi Meng | IFS TC |
| Mohsen Naqvi | MLSP TC |
| Suhas Sreehari | CI TC |
| Zheng-Hua Tan | SL TC |
| Wen Zhang | AASP TC |
Associate Members | |
|---|---|
| Name | Affiliation |
| Emanüel Habets | International Audio Laboratories Erlangen Friedrich-Alexander-Universität, Germany |
| Neeraj Kumar Sharma | IIT Guwahati, India |
