Conference Information

AIIoT 2027: IEEE World AI IoT Congress

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Submission Date:
2027-03-31 Due in 198 days
Notification Date:
2027-04-28
Conference Date:
2027-05-26
Location:
Seattle, Washington, USA
Years:
Viewed: 12677   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

48.3 / 100
Ranked #1,963 of 5,682 conferences · Top 35%

#287 of 864 in Networks & Communications

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
56
Community attention (10%)
13
Public record completeness (15%)
55

Inputs used: Editions on record: 7 · Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-14

Call For Papers

AIIoT 2027 (IEEE World AI IoT Congress) is an academic conference held in Seattle, Washington, USA on 2027-05-26. The paper submission deadline is 2027-03-31. Acceptance notifications are sent on 2027-04-28.

Topics and technical areas of interest include but are not limited to the following: Artificial Intelligence and Machine Learning AI Algorithms CAD Design & Testing Computer Vision and Speech Understanding Parallel Processing Big Data, Data Management and Analytics Neural Networks Pattern Recognition Cloud Computing and Data Center Systems Computational Intelligence Computer Graphics, Simulation and Modeling Cryptography and Applied Mathematics Parallel and Distributed Algorithms Robotics and Machine Vision Security, Trust and Privacy Systems and Software Engineering Ubiquitous Computing IoT Protocols And Transports Security for IoT IoT Architectures & Protocol IoT System Architecture IoT Enabling Technologies Applications of IoT Software Engineering for IoT and IoE Artificial Intelligence tools & Applications Automatic Control Bioinformatics Natural Language Processing Data Mining and Machine Learning Tools Fuzzy Logic
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