Call for Submission
VA4MDS 2026 will serve in conjunction with IEEE PacificVis 2026, aims to share cutting-edge research, present innovative applications, and build collaborations among academia and industry. The workshop invites submissions of original research papers, review papers, short papers, and demo papers that push the boundaries of visual analytics for multimodal streaming data. So, when preparing your submission, please make sure that you carefully read and adhere to the paper submission guidelines.
Topics of Interest:
We invite high-quality research and demo papers that integrate visual analytics with multimodal and streaming data. Submissions may address the following topics of interest include, but are not limited to:
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Visual analytics methods for real-time and continuous multimodal data streams
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Generative and adaptive visualization techniques for heterogeneous data
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Multimodal data fusion and representation for visualization
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Large Language Models with multimodal and streaming data
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Visual analytics and Natural Language Processing
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Visual analytics and pattern recognition.
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Visual analytics for knowledge representation and management
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Explainable and trustworthy visual analytics for complex data environments
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Human-centered and interactive systems for streaming data analysis
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Intelligent Techniques and Multi-Agent Systems
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Applications in healthcare, social media, smart cities, IoT, and decision-making
Submission Guidelines:
https://pacificvis2026.github.io/paper-submission-guidelines.html
Publication:
Accepted papers will be submitted for inclusion into IEEE Xplore.
Top quality papers will be selected for extension and publication in several special issues of international journals, e.g., CMC-Computers, Materials & Continua, and Frontiers in the Internet of Things.
Special Isssue link
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Data Science and AI for Internet of Medical Things (IoMT) (Journal: Frontiers in the Internet of Things)
Registration and Presentation Guidelines: Coming soon
