Conference Information

ICAN 2027: International Conference on Artificial Intelligence driven Computing, Analytics and Networks

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Submission Date:
2027-03-15 Due in 156 days
Notification Date:
2027-05-15
Conference Date:
2027-07-16
Location:
Chandigarh, India
Years:
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Conference Partner Index (CP-I)

48.0 / 100
Ranked #2,100 of 5,694 conferences · Top 37%
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%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 7 · 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 2026-10-09

Call For Papers

ICAN 2027 (International Conference on Artificial Intelligence driven Computing, Analytics and Networks) is an academic conference held in Chandigarh, India on 2027-07-16. The paper submission deadline is 2027-03-15. Acceptance notifications are sent on 2027-05-15.

Thematic Areas ICAN 2027 focuses on the transformative impact of Artificial Intelligence on modern computing systems, data-driven analytics, and intelligent networked infrastructures. The conference invites original research contributions that advance design and implementation of AI enabled technologies across multiple domains and applications. An indicative topics are provided below for the ready reference of prospective authors. Track 1 — AI-Driven Computing and Autonomous Systems AI Computing Architectures and Systems General, Agentic, and Collective AI Agentic AI and Self-Learning Autonomous Systems Distributed, Federated, and Collaborative AI AI for Sustainable and Energy-Efficient Computing Track 2 — AI-Driven Analytics and Intelligent Infrastructure Large-Scale AI-Driven Data Analytics Knowledge Discovery and Intelligent Decision-Making AI-Enabled Cyber-Physical Systems Smart Infrastructure and Intelligent Systems AI Applications for Sustainable and Efficient Systems Track 3 — Intelligent Networks and Trustworthy AI Intelligent Networked Systems and AI-Driven Networking AI for Next-Generation Communication Networks Trustworthy, Explainable, and Responsible AI AI Ethics, Governance, Security, and Accountability Trustworthy AI for Networked and Autonomous Systems
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