This track focuses on the convergence of ubiquitous systems, parallel architectures, and distributed computing paradigms. It covers the entire spectrum from foundational theories to practical implementations, with emphasis on scalable, resilient, and intelligent infrastructures for the future internet. Special attention is given to systems that integrate cloud, edge, IoT, and blockchain technologies in seamless, secure, and energy-efficient ways.
This track addresses the fundamental challenges of securing modern computing systems in an era of hyper-connectivity and sophisticated threats. It spans theoretical foundations, cryptographic protocols, risk management, and practical deployments. Emphasis is placed on zero-trust architectures, privacy-preserving technologies, and resilient AI-based defense mechanisms. The track also invites contributions on human-centric aspects of trust and usable security.
This track covers the entire lifecycle of data – from acquisition and storage to analysis, interpretation, and knowledge extraction. It brings together researchers from databases, information retrieval, knowledge representation, and big data analytics. Special focus is given to scalable algorithms, semantic technologies, and responsible data science practices. The track welcomes contributions on novel ontologies, knowledge graphs, and their applications in various domains.
This track seeks contributions on all aspects of artificial intelligence, from foundational theories to cutting-edge applications. It covers machine learning, deep learning, reinforcement learning, and emerging paradigms such as generative AI and neuro-symbolic systems. Special emphasis is placed on cognitive architectures, explainability, robustness, and the societal implications of AI. The track also invites work on AI for scientific discovery, healthcare, and sustainability.
This track focuses on computational approaches to human language, covering both theoretical advances and practical systems. It welcomes research on all languages, with particular interest in Arabic and low-resource dialects, multilingual models, and cross-lingual transfer. Topics include traditional NLP pipelines as well as end-to-end neural approaches. The track also encourages submissions on speech processing, dialogue systems, and the integration of NLP with other modalities.
This track addresses the acquisition, processing, analysis, and understanding of visual and multimedia data. It spans from low-level image processing to high-level semantic interpretation, including 2D/3D vision, video analytics, and multimodal fusion. Application areas include healthcare, autonomous systems, smart cities, and cultural heritage. The track also invites contributions on emerging topics such as neural rendering, generative models for vision, and efficient deployment of vision models on edge devices.
Manuscripts must be prepared in IEEE 8.5" x 11" two-column conference format (10pt font). Maximum 8 pages. Double-blind review. All accepted papers will appear in IEEE Xplore and be indexed by Scopus and Web of Science.
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