Conference Information

AI+E 2027: International Conference on AI & Engineering

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Submission Date:
2027-01-25 Due in 128 days
Notification Date:
2027-02-20
Conference Date:
2027-03-26
Location:
Yueyang, China
Years:
Viewed: 3653   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.7 / 100
Ranked #3,957 of 5,682 conferences · Top 70%
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%)
30
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 3

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 2026-09-19

Call For Papers

AI+E 2027 (International Conference on AI & Engineering) is an academic conference held in Yueyang, China on 2027-03-26. The paper submission deadline is 2027-01-25. Acceptance notifications are sent on 2027-02-20.

International Conference on AI & Engineering (AI+E) aims to promote the exchange of ideas in artificial intelligence applications in engineering domains. ​The topics of interest include, but are not limited to: Artificial Intelligence Artificial intelligence applications Algorithms and models Big data Deep learning architectures and innovations Optical neural network Optimization and training Machine learning in healthcare Natural language processing Computer vision Computational optical imaging Theoretical foundations Pattern recognitiona Intelligent systems and agent Human-agent interaction and​ collaboration Virtual and augmented reality applications User interface design for AI systems Evolving AI regulation Voice assistants and natural language interfaces Gesture recognition and multimodal interaction Engineering Software engineering Internet of Things (IoT) AI in industry AI-driven supply chain optimization AI and machine learning in photonics Intelligent manufacturing and Industry 4.0 Intelligent fault detection, analysis, diagnostics and monitoring Digital twin for engineering Intelligent Planning and Scheduling AI in data analysis and decision making AI in environment AI for cybersecurity AI and Civil Engineering Intelligent transportation systems & smart vehicles Photonics in autonomous systems Mechatronics Automatic programming Automatic control Big data analytics, understanding complex networks
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