Conference Information

AIEI 2027: IEEE International Conference on AI Engineering and Innovations

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Submission Date:
2026-09-30
Notification Date:
2026-10-30
Conference Date:
2027-01-21
Location:
Bengaluru, India
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Conference Partner Index (CP-I)

44.6 / 100
Ranked #2,992 of 5,695 conferences · Top 53%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
19
Public record completeness (15%)
35

Inputs used: Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 25% - 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 2026-10-11

Call For Papers

AIEI 2027 (IEEE International Conference on AI Engineering and Innovations) is an academic conference held in Bengaluru, India on 2027-01-21. The paper submission deadline is 2026-09-30. Acceptance notifications are sent on 2026-10-30.

We welcome high-quality research contributions in all domains of Electrical, Electronics, and Computer Science. Topics of interest include, but are not limited to: AI in Innovation, Entrepreneurship and Intraprenurship AI for Healthcare, Bioengineering and Agriculture AI for Smart Energy, Smart Cities and Sustainable Infrastructure (Society 5.0) AI for Industry 5.0, Robotics and Automation AI for Aerospace, Defense and Intelligent Security Systems AI for Finance, Economics, Business Intelligence and Digital Innovation AI for Education, Technology management and Engineering
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