Conference Information

ICIACS 2027: International Conference on Innovations and Advances in Cognitive Systems

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Submission Date:
2026-11-29 Due in 48 days
Notification Date:
2026-12-26
Conference Date:
2027-03-01
Location:
Kangeyam, India
Viewed: 974   Tracked: 0   Attend: 0
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ICIACS
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Conference Partner Index (CP-I)

43.3 / 100
Ranked #3,666 of 5,697 conferences · Top 65%
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%)
5
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 1

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 2026-10-12

Call For Papers

ICIACS 2027 (International Conference on Innovations and Advances in Cognitive Systems) is an academic conference held in Kangeyam, India on 2027-03-01. The paper submission deadline is 2026-11-29. Acceptance notifications are sent on 2026-12-26.

This conference is open for worldwide discussion of various integration schemes of cognitive engineering, along with completely new ideas and revolutionary approaches, that will be evaluated and will allow us to break the barriers, enabling a transition to the next-generation cognitive systems. Track 1: Intelligent Information Processing Information granulation and abstraction methods Fuzzy sets, rough sets, and interval computing Granular neural networks and learning models Granular data mining and knowledge discovery Granular reasoning and decision support systems Uncertainty modeling using granular approaches Granular computing for big data analytics Hybrid granular–AI models Explainable AI using granular structures Track 2: Human-Centered Cognitive Systems Cognitive modeling and human-in-the-loop systems Human–computer interaction and cognitive ergonomics Granular approaches for modeling human perception Cognitive decision-making and adaptive interfaces Trust, transparency, and explainability in cognitive systems Human–AI collaboration and augmentation User-centric system design and evaluation Cognitive workload and performance assessment Intelligent assistive and rehabilitation systems Track 3: Next-Generation Cognitive Systems Systems modeling and system-of-systems engineering Cybernetic principles in intelligent systems Self-adaptive and autonomous cognitive systems Cyber-physical and socio-technical systems Control and optimization of complex systems Granular system theory and hierarchical modeling Intelligent robotics and autonomous agents Resilient and secure cognitive systems Learning and evolution in complex systems
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