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ICCIDS 2027: International Conference on Computational Intelligence in Data Science

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ICCIDS
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Submission Date:
2026-10-15 Due in 36 days
Notification Date:
Conference Date:
2027-01-06
Location:
Chennai, India
Years:
Viewed: 14726   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

49.7 / 100
Ranked #1,598 of 5,655 conferences · Top 29%

#86 of 337 in Data Mining & Databases #156 of 736 in Artificial Intelligence & Machine Learning

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%)
65
Community attention (10%)
10
Public record completeness (15%)
55

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

Call For Papers

ICCIDS 2027 (International Conference on Computational Intelligence in Data Science) is an academic conference held in Chennai, India on 2027-01-06. The paper submission deadline is 2026-10-15.

Topics of Interest Quantum Machine Intelligence & Computing •Quantum algorithms for AI and machine learning •Quantum neural networks and deep learning •Quantum cryptography and secure computing •Quantum-inspired optimization techniques •Quantum simulation and modeling •Hybrid quantum-classical computing frameworks •Error correction and fault tolerance in quantum systems Next-Gen Computing Architectures and Accelerators •High-performance computing architectures •Neuromorphic and brain-inspired architectures •Embedded & real-time systems •Cloud, edge, and fog computing architectures •Energy-efficient computing systems •Hardware acceleration for AI (GPU, TPU, FPGA) •Scalable architectures for big data and AI workloads Recent Advances in Computer Vision and Pattern Recognition •Object detection, tracking, and recognition •3D vision, stereoscopic imaging, and depth estimation •Scene understanding and semantic segmentation •Action and gesture recognition •Vision-based biometrics and identity verification •Image and video quality assessment and enhancement •Vision for autonomous vehicles and robotics Immersive Technologies: AR, VR, and Mixed Reality •Virtual and augmented reality applications in education, healthcare, and industry •Mixed reality interfaces and interaction design •Human-computer interaction in immersive environments •3D content creation, rendering, and visualization •Immersive simulations and training systems •Stereoscopic 3D and 360° video processing •Perceptual quality and user experience in immersive systems Innovations in Computational Intelligence and Machine Learning •Deep learning architectures and optimization •Reinforcement learning and decision-making systems •Transfer learning and domain adaptation •Generative models and diffusion-based learning •Explainable AI (XAI) and interpretable models •Federated and privacy-preserving machine learning •Bio-inspired and swarm intelligence algorithms Optimization Techniques and Operations Research •Metaheuristic and evolutionary optimization algorithms •Multi-objective and constraint-based optimization •Combinatorial optimization and scheduling problems •Stochastic and robust optimization methods •Game theory and decision sciences •Optimization in logistics, supply chain, and transportation •AI-driven resource allocation and planning Ethical, Legal, and Regulatory Frameworks for AI •AI ethics, bias, and fairness •Accountability, transparency, and trust in AI •AI governance and policy frameworks •Privacy, data protection, and compliance •Legal aspects of autonomous systems •Responsible AI deployment in industry •Societal impact and sustainable AI adoption AI for Sustainable Cities and Rural Development •Smart city infrastructure and IoT for urban management •AI in energy efficiency and renewable energy systems •Sustainable agriculture and rural development technologies •Intelligent transportation and traffic management •Environmental monitoring and disaster management •Water resource management using AI •AI for education and healthcare in rural communities
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