1st Workshop on Applied AI and Multimodal Visualization
Technologies (AAIMVT)

Workshop Topics and Themes

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The workshop focuses on the intersection of applied AI and multimodal visualization technologies, recognizing their growing importance in shaping the future of knowledge representation, human-centered analytics, and decision-making support. With AI systems increasingly handling multimodal inputs (text, images, video, sensor data), visualization technologies become critical enablers for explainability, interpretability, trust, and actionable insights.

 

This workshop is particularly timely given the rise of generative AI, multimodal LLMs, and advanced visualization frameworks that are transforming domains from healthcare and education to cybersecurity and industrial systems. The AAIMVT workshop provides a forum for presenting novel methods, tools, and case studies that bridge theoretical advances with applied scenarios. Participants will examine both opportunities and challenges in deploying AI-driven visualization in complex, data-rich environments.

 

Importantly, AAIMVT embraces diversity and inclusion as a central value. The organizers are committed to ensuring balanced representation in both the program committee and the invited speakers, with attention to gender, nationality, institutional background, and professional role (academia, industry, government, and NGOs). By actively curating a diverse lineup of voices, the workshop seeks to create a more equitable space for knowledge exchange while showcasing perspectives that could otherwise remain underrepresented.

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Submission Guidelines

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Authorship. The ACM has an authorship policy stating who can be considered an author in a submission as well as the use of generative AI tools. Every person named as the author of a paper must have contributed substantially to the work described in the paper and/or to the writing of the paper and must take responsibility for the entire content of the paper.

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Authorship changes. The full list of authors, including the ordering, must be finalized at the point of submission. There cannot be any addition, removal, or reordering of authors after submission time. The only changes allowed are the correction of spelling mistakes or a new affiliation.

 

Formatting Requirements. Submissions must be written in English, in double-column format, and must adhere to the ACM template and format (also available in Overleaf). Word users may use the Word Interim Template. The recommended setting for LaTeX is:

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\documentclass[sigconf, review]{acmart}.

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For the special tracks, submissions are limited to 8 content pages, which should include all figures and tables, but excluding supplementary material and references. In addition, you can include 2 additional pages of supplementary material. The total number of pages with supplementary material and references must not exceed 12 pages.

 

Anonymity. The review process will be double-blind. The submitted document should omit any author names, affiliations, or other identifying information. This may include, but is not restricted to acknowledgments, self-citations, references to prior work by the author(s), and so on. Please use the third-person to identify your own prior work. You may explicitly refer in the paper to organizations that provided datasets, hosted experiments, or deployed solutions and tools.

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Originality and Concurrent Submissions. Submissions must present original work—this means that papers under review at or published/accepted to any peer-reviewed conference/journal with published proceedings cannot be submitted. Submissions that have been previously presented orally, as posters or abstracts-only, or in non-archival venues with no formal proceedings, including workshops or PhD symposia without proceedings, are allowed. Authors may submit anonymized work that is already available as a preprint (e.g., on arXiv or SSRN) without citing it. The ACM has a strict policy against plagiarism, misrepresentation, and falsification that applies to all publications.

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Ethical Use of Data and Informed Consent. Authors are encouraged to include a section on the ethical use of data and/or informed consent of research subjects in their paper, when appropriate. You and your co-authors are subject to all ACM Publications Policies , including ACM's Publications Policy on Research Involving Human Participants and Subjects (posted in 2021). Please ensure all authors are familiar with these policies.

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Please consult the regulations of your institution(s) indicating when a review by an Institutional Ethics Review Board (IRB) is needed. Note that submitting your research for approval by such may not always be sufficient. Even if such research has been approved by your IRB, the program committee might raise additional concerns about the ethical implications of the work and include these concerns in its review.

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Submissions that do not follow these guidelines or do not view or print properly, will be desk-rejected.

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Important Dates

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• Paper Submission Due: January 13, 2026

• Acceptance Notification: January 25, 2026

• Camera Ready: February 2, 2026

• Workshop: April 13 - 14, 2026

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Any Questions?

 

• Contact c.sanin@aih.edu.au or mdrafiqul.islam@cdu.edu.au for any questions related to the workshop

• Registration information: coming soon.​​