CFP for IEEE SPMB 2026

09 Jun 2026

Mark Ng is the Technical Program Chair for IEEE SPMB 2026, now in its 16th year. IEEE SPMB is a virtual symposium that provides an international forum for collaboration between bioengineering and signal processing researchers. We expect approximately 100 researchers from around the world to attend this virtual event. We specifically encourage graduate students to attend and present early versions of their dissertation research. Over the years, many graduate students have used this symposium as a forum for enhancing their professional development and improving their research.

The symposium is sponsored by the IEEE Region 2 Philadelphia Section, Temple University, and the Neural Engineering Data Consortium. The conference is run by a dedicated group of volunteers. There is no registration fee so that it is very easy for students to attend.

The symposium will be held on 5th December 2026.

The submission deadline is 1st July 2026.

The symposium typically consists of a plenary talk, two oral sessions and a poster session. We usually accept 12 papers for oral presentations and 8 to 12 posters. Acceptance rates for the conference average about 50%. Papers that are not accepted for an oral presentation are given a chance to be resubmitted as a poster presentation.

The conference will be held online using Zoom since this seems to work best for our international audience. In addition to publication of your paper or abstract, a video recording of your contribution will be made available from the conference technical program web page. Please refer to last year’s program to see examples of these presentations.

The conference technical committee will also select a best paper based on both the written submission and oral presentation. Poster submissions are not eligible for this award. After the conference, the organizing committee will invite selected authors to submit an expanded version of their contribution for inclusion in a book published by Springer.

This symposium is intended to bring together a wide range of professionals interested in applications of artificial intelligence (AI), signal processing and clinical applications in medicine and biology. Signal processing and AI are rapidly transforming healthcare due to the significant success deep learning technology has enjoyed recently.

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