- Paper Submission - July 1, 2023
- Notification - September 1, 2023
- Paper Revisions - October 1, 2023
- Early Registration - November 15, 2023
- Final Program - December 1, 2023
The IEEE SPMB Symposium promotes interdisciplinary papers across a wide range of topics including analysis of biomedical signals and images, machine learning, data and educational resources.
The symposium typically consists of 18 highly-competitive full paper submissions that include oral presentations, and 12 to 18 single-page abstracts that are presented as posters. Two plenary lectures are included - one focused on research and the other focused on emerging technology.
The symposium is sponsored by Temple University's The Neural Engineering Data Consortium and the Philadelphia Section of the IEEE.
The Philadelphia Section of the IEEE invites you to participate in a single-day symposium designed to advance the intersection between healthcare, engineering and computer science.
Papers of general interest to the disciplines of signal processing and bioengineering are welcome, particularly those in emerging areas such deep learning and big data. Papers have been indexed in IEEE Xplore. Selected full papers will be invited to be published as a book chapter in an ebook produced by Springer.
- Joseph Picone (Temple)
- Ammar Ahmed (Aptiv)
Technical Program Chair
- Mark Ng (Ulster)
- Khem Poudel (MTSU)
- Vaishali Amin (PPL)
- Rida Ayub (Temple)