

The ICMAI 2027 aims to bring together professors, researchers, scholars, and industry experts from around the world to discuss the latest advances in multimodal artificial intelligence. As a premier international forum, ICMAI 2027 provides a platform for presenting original research, novel methodologies, and practical applications across multimodal signal processing, cross-modal learning and fusion, and intelligent multimodal systems. The conference will be held from September 24–26, 2027, in Wuhan, China. ICMAI 2027 encourages contributions that foster technical exchange and collaboration between academia and industry, promoting innovative solutions and engineering implementations in multimodal AI. The organizing committee warmly invites prospective authors to submit their original manuscripts to ICMAI 2027.
Full Paper Submission Date: July 9, 2027
Notification of Acceptance: August 9, 2027
Registration Deadline: August 24, 2027
Conference Dates:September 24-26, 2027

Countdown to the Conference:
The topics of interest for submission include, but are not limited to:
📚︎Artificial Intelligence and Machine Learning for Multimodal Systems
Machine learning and deep learning; Computer vision and natural language processing;
📚︎Multimodal Signal Processing and Representation
Image, video, speech and audio signal processing; Sensor data processing and multimodal sensing;
📚︎Cross-Modal Learning and Data Fusion
Cross-modal data fusion; Cross-modal alignment and representation mapping;
📚︎Multimodal Intelligent Systems and Applications
Intelligent perception systems; Human–machine interaction and immersive systems;
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.