Call for Papers DSLW 2022: 2022 IEEE Data Science and Learning Workshop

The DSLW team is inviting you to submit regular papers to the 2022 IEEE Data Science & Learning Workshop (DSLW 2022), a workshop organized by the IEEE Signal Processing Society (supported by the SPS Data Science Initiative). The workshop aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science, learning theory and applications. DSLW 2022, will be co-located with ICASSP 2022, at Nanyang Technological University (NTU), Singapore, on May 22-23, 2022. 

 

The deadline for paper submission is - November 10, 2021!

 

Prospective authors are invited to submit regular papers (5 pages of technical information + 1 page of reference, with optional supplemental material limited to 2 pages). DSLW 2022 will use double-blind review. Manuscripts should be original and written in accordance with the standard IEEE 2-column paper template. Accepted papers will be indexed on IEEE Xplore.

Continuing the DSLW 2021 tradition, the targeted paper acceptance rate is 25%. Please visit DSLW 2022 website for more information, https://conferences.ece.ubc.ca/dslw2022.

We look forward to seeing you in Singapore for the workshop! 

 

 

Co-General Chairs: Ivan Bajic, Chunyan Miao

Co-Technical Chairs: Purang Abolmaesum, Justin Dauwels, Stark Draper, Parvin Mousavi, Dusit Niyato