MMIA-2026 is The 7th International Conference on Multi-modal Information Analytics
(MMIA-2026)

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.

• We are living in the era of data deluge. The world of big data exhibits a rich and complex set of cross-media contents. So far, great research efforts have been dedicated separately to big data processing and cross-media mining, with well-grounded theoretical underpinnings and great practical success. However, studies jointly considering cross-media big data analytics are relatively sparse. Despite its significance and value, it is non-trivial to analyze cross-media big data due to their heterogeneity, large-scale volume, increasing size, unstructured nature, correlations, and noise. Multi-modal Information systems, which can be treated as the most significant breakthrough in the past 10 years, have greatly impacted the methodologies utilized in computer vision and achieved terrific progress in both academia and industry.

List of Topics

• Topic 1Agent-based and multi-agent systems for health and education informatics
• Topic 2Mobile technologies and multi-modal systems
• Topic 3Data mining, data analytics

Committees

Program Committee

• Person 1Florin Pop, University Politehnica of Bucharest, Romania
• Person 2Rick Church, UC Santa Barbara, USA
• Person 3Shunxiang Zhang, Anhui Univ. of Sci. & Tech., China

Organizing Committee

• Person 1Guangli Zhu, Anhui Univ. of Sci. & Tech., China

Contact

All questions about submissions should be emailed to mmia2026@126.com