● Theories and Models of Cognitive Computing for Complex Data Understanding

This track explores cognitive models, neuro-symbolic integration, brain-inspired algorithms, and knowledge representation. We welcome submissions on reasoning, perception, and human-like cognition applied to autonomous systems and decision-support tools with strong theoretical foundations.

● Advances in Large Models: From Optimization Techniques to Cutting-Edge Applications

This track seeks research on architectural innovation, scalable training, optimization (e.g., distributed learning, PEFT, RLHF), and multimodal reasoning in large models. Contributions should highlight real-world applications in healthcare, finance, and industry, with an emphasis on scalability, efficiency, and generalizability in complex data environments.

● Advanced Image Processing and Cross-Domain Pattern Recognition

We invite work on novel algorithms for image segmentation, enhancement, denoising, and compression under challenging conditions. Topics include 3D reconstruction, neural rendering, XAI, and multimodal learning. Applications may span medical imaging, remote sensing, and industrial vision, with a focus on edge-efficient and real-time systems.

● Knowledge Graph-based Management and Analytics for Big Data

This track focuses on constructing, evolving, and leveraging knowledge graphs for complex data analytics. Topics include scalable graph algorithms, blockchain-based trust mechanisms, and fusion with ML. Submissions should demonstrate impact in business, science, or public services through improved data integration and insight generation.

● Data-Driven Cybersecurity: Analytics, Intelligence, and System Resilience

We welcome studies on AI/ML-enhanced threat intelligence, anomaly detection, and resilient architecture design for IoT, cloud, and critical infrastructure. Topics include cryptographic protocols, privacy-preserving analytics, and explainable AI in security operations, emphasizing proactive defense and system robustness.

● Embodied Intelligence and Robotic Interaction in Physical Worlds

This track covers embodied AI, sensorimotor integration, and human-robot collaboration in unstructured environments. Topics include multimodal sensing, "brain-eye-action" coordination, sim-to-real transfer, and safe interaction. Applications in healthcare, logistics, and domestic systems are encouraged.

● AI-Integrated IoT for Autonomous Intelligent Systems

We seek research on AI-IoT convergence, edge intelligence, digital twins, and autonomous decision-making in smart ecosystems. Interests include scalable sensing, adaptive control, and integration with large models (e.g., LLMs) for applications in smart cities, healthcare, and industrial control.

ICCD-2026 is a multidisciplinary forum, including all computing and computational sciences areas.

Papers must be submitted electronically to Easychair system in PDF format.

US-Letter size (not A4), the paper should not exceds 6 pages.

Please formatvour submission using the IEEE templates found at https://www.ieee.org/conferences/publishing/templates.html.

Papers can be submitted to the Easychair system: https://easychair.org/conferences/?conf=ieeeiccd2026