The 2nd International Workshop on Deep Learning for Biomedical Big Data Analysis (DL4BBDA) will be held at Phoenix, Arizona, USA, in hybrid mode, from 14 to 17 december 2025, in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2026, https://bigdataieee.org/BigData2026/).

Overview

Due to growing innovations in the biomedical research field, substantial huge volumes of data are generated needing to be explored, analyzed and processed using advanced algorithms and techniques. In artificial intelligence, Deep learning (DL) has received a great attention to solve difficult and complex problems in various domains. Its ability to train learning models for large-volume data as well as their performances compared to conventional machine learning algorithms, as made it a major asset. This workshop aims to present and discuss the recent advances in deep learning for biomedical data analysis and processing. It is an opportunity to bring together academic and industrial scientists to discuss recent advances.

Topics of interest include, but are not limited to, the following:

- DL for biomedical signal analysis and processing (e.g., EEG, EMG, ECG, EOG, …)
- DL for medical image analysis and processing (e.g., CT, MRI, fMRI, PET, SPECT, DTI, …)
- DL for diseases detection and diagnosis (e.g., Epileptic seizure, Alzheimer, Sleep disorders, …)
- DL for pandemics detection and forecasting
- DL for biometrics
- DL in biomedical engineering
- DL for health informatics (healthcare, e-health, m-health, telehealth, …)
- DL for brain-computer interfaces
- DL for neural rehabilitation engineering
- Generative AI in biomedical research
- Related applications

Important Dates

Oct. 1, 2026 (11:59 pm CST): Due date for full workshop papers submission
Nov. 4, 2026: Notification of paper acceptance to authors
Nov. 25, 2026: Camera-ready of accepted papers
Dec 14-17, 2026: Workshops

Paper submission

Please submit a full-length paper (up to 10 pages IEEE 2-column format including references) or a short-length paper (5 to 7 pages including references) through the online submission system (https://wi-lab.com/cyberchair/2026/bigdata26/index.php)

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See link to "formatting instructions" here : https://www.ieee.org/conferences/publishing/templates.html

Electronic submissions in PDF format are required.

All papers accepted for this workshop will be published in the Workshop Proceedings of IEEE Big Data Conference, made available in the IEEE eXplore digital library.

Online Submission :

https://wi-lab.com/cyberchair/2026/bigdata26/scripts/submit.php?subarea=S03&undisplay_detail=1&wh=/cyberchair/2026/bigdata26/scripts/ws_submit.php

Publication
All accepted papers will be published in the IEEE Big Data proceedings and IEEE Xplore Digital Library.

Contact
Prof. Larbi Boubchir (Workshop Chair)
University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr