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
- DSLW 2027: Data Science and Learning Workshop (DSLW): Data Science and AI for Mental Healthcare Across the Lifespan
The workshop is organized by the IEEE SPS Data Science Initiative (DSI) as part of the Data Science and Learning Workshop (DSLW) series.
The workshop will bring together researchers developing multimodal AI methods for mental healthcare using speech, language, video, behavioral signals, mobile and wearable sensing, electroencephalography, and structural and functional neuroimaging.
The workshop will foster interdisciplinary collaboration across signal processing, machine learning, medicine, and healthcare. It will promote reproducible, clinically relevant AI for mental healthcare across the lifespan, including for older adults. The workshop is endorsed by IEEE Brain and IEEE AgeTech Intiatives.
The workshop is organized by:
Mohsen Naqvi, Sharon Gannot, Zheng-Hua Tan, Vince D. Calhoun, Borbála Hunyadi, Selin Aviyente
- 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 |
