Conference format & key facts
Organized detailsOverview
CAISAIS 2026 is a hybrid international AI research conference organized by Ajman University's Artificial Intelligence Research Center, bringing researchers and practitioners together around applied artificial intelligence in industry, society, engineering, health, education, finance, agriculture, security and related fields.
Complete conference details
The conference will run 25–27 November 2026 in Ajman and online. The official site lists technical papers, surveys, tutorials, posters, project sessions and industry sessions among the contribution formats. Topics include generative AI and LLMs, data science, machine learning, digital twins, computer vision, AI for IoT and cloud computing, smart green technology, healthcare, engineering and Industry 4.0. The paper submission deadline is 1 September 2026; notification is scheduled for 15 October; camera-ready submission and early-bird registration are due 25 October.
Eligibility requirements
The conference is intended for international researchers and practitioners from academia and industry. Authors should follow the official call-for-paper and submission requirements; attendees who are not submitting research should use the official registration information.
Tips for this conference
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Confirm whether you are registering as an attendee, speaker, poster presenter, exhibitor or scholarship/travel-grant applicant because deadlines can differ.
- For abstracts or papers, follow the exact theme, template, word limit, author format and publication rules from the official call.
- If travel is required, check invitation-letter timing, visa processing, accommodation and travel-support deadlines early.
- Review the agenda and speakers in advance and plan the sessions and people most relevant to your goals.
Verification notes
Verified on Ajman University's official CAISAIS 2026 site. This append-only revision corrects the primary taxonomy from research to conference now that the repository schema matches the application's public event taxonomy. Conference dates, hybrid format, paper deadline and early-bird/camera-ready dates are explicitly listed. No fee amount or unstated benefit was inferred.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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