[CFP] DeepModAI 2025 @ ICONIP25: International Workshop on Deep learning for Multimodal Data

[Guénaël Cabanes (University of Lorraine)]

Dear Colleagues,

We are pleased to announce DeepModAI 2025 (International Workshop on Deep learning for Multimodal Data), to be held on November 24, 2025, in Okinawa, Japan, in conjunction with the ICONIP 2025 conference.

This workshop aims to bring together academic researchers and industry professionals to address core challenges in deep multimodal learning. We focus on advanced deep learning techniques (e.g. unsupervised, self-supervised, weakly supervised approaches) that learn transferable latent representations across modalities, moving beyond unimodal and static paradigms. We also encourage contributions that demonstrate applications in critical domains such as multimodal document analysis, health monitoring, autonomous systems, robotics, or environmental modeling.

Key topics include (but are not limited to):

• Multi-view and multi-modal architecture design

• Cross-modal alignment and translation

• Attention mechanisms for dynamic modality fusion

• Diversity-aware and ensemble learning methods

• Explainable and collaborative multimodal frameworks

• Adaptability to dynamic, incomplete, or context-dependent data

• Scalable deployment and computational efficiency

Submissions:

We invite the submission of extended abstracts (2 pages) or regular papers (any length). 

Regular papers should be submitted to a preprint repository (arXiv, Jxiv, etc.) prior to workshop submission. 

All accepted contributions will be presented orally or as posters and published on the workshop website.

Important Dates:

• Submission Deadline: September 30, 2025

• Workshop Date: November 24, 2025

The workshop will feature invited keynote talks, technical presentations, poster sessions, and an interactive panel discussion with international experts.

It is a perfect opportunity to present your ongoing work, receive high-quality feedback, and help shape the future directions of this dynamic research field.

For more details on the topics, program, and submission guidelines, please visit our website: 

https://deepmodai.sciencesconf.org/

We would be grateful if you could forward this call to your colleagues and relevant PhD students and postdocs.

For any questions, please contact us at: deep...@sciencesconf.org

We look forward to seeing you in Okinawa!

Sincerely,

The DeepModAI 2025 Organizing Committee

   - Guénaël Cabanes, University of Lorraine

   - Nistor Grozavu, CY Cergy Paris University

   - Parisa Rastin, University of Lorraine

   - Nicoleta Rogovschi, Paris Descartes University