Conference Information

AIDL-HCSY 2027: International Conference on Artificial Intelligence and Deep Learning Methods for Human-Centric Systems

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Submission Date:
2026-08-30
Notification Date:
2026-10-15
Conference Date:
2027-01-18
Location:
TIET, Patiala, India
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AIDL-HCSY
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Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,394 of 5,695 conferences · Top 60%

#413 of 741 in Artificial Intelligence & Machine Learning

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%)
10
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 3

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

AIDL-HCSY 2027 (International Conference on Artificial Intelligence and Deep Learning Methods for Human-Centric Systems) is an academic conference held in TIET, Patiala, India on 2027-01-18. The paper submission deadline is 2026-08-30. Acceptance notifications are sent on 2026-10-15.

The 2027 International Conference on Artificial Intelligence and Deep Learning Methods for Human-Centric Systems (AIDL-HCSY 2027) invites high-quality original research contributions that address the role of AI and deep learning in enhancing human-centered design, societal impact, and ethical deployment. Authors are encouraged to submit unpublished, original research papers that explore theoretical advancements, methodological innovations, and real-world applications across a diverse range of AI domains. All submissions will undergo a peer-reviewed process to ensure quality, relevance, and scientific rigor. We welcome submissions from academia, industry, and policy research communities to foster a rich, interdisciplinary dialogue. Topics of interest include, but are not limited to: Foundations of Artificial Intelligence and Knowledge-Driven Systems Computer Vision and Image Intelligence for Human-Centric Applications Natural Language Processing and Human-Machine Interaction AI-Enabled Healthcare and Disease Diagnosis Intelligent Control, Robotics, and Autonomous Systems Innovation, Entrepreneurship, and Human-Centric System Design
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