The Conference on Intelligent Technologies in Information Security, Artificial Intelligence & Industrial Systems (CITISAIS) is an international platform that brings together researchers, academics, industry professionals, practitioners, and innovators to present and discuss emerging research, advanced technological developments, and intelligent industrial applications in rapidly evolving digital and computational domains. The conference recognises significant scientific, technical, and professional contributions that advance intelligent technologies and support secure, data-driven, and industry-oriented solutions for modern society.

CITISAIS is designed to promote high-quality research communication, interdisciplinary collaboration, and global knowledge exchange among academia, industry, and research communities. The conference encourages participation from senior researchers, technology leaders, industry experts, early-career academics, postgraduate students, and innovative practitioners to share recent discoveries, practical experiences, and state-of-the-art developments across intelligent and secure computing environments.

The conference particularly welcomes original research papers, system architectures, conceptual frameworks, methodologies, prototypes, industrial case studies, and applied solutions aligned with the conference themes. Areas of interest include, but are not limited to, Artificial Intelligence (AI), Machine Learning, Deep Learning, Data Mining, Data Analytics, Information and Cyber Security, Intelligent Systems, Smart Applications, Internet of Things (IoT), Cloud and Edge Computing, Blockchain Technologies, Digital Transformation, Industrial Informatics, Robotics, Secure Computing, Big Data Technologies, Smart Cities, Industry 4.0/5.0, and emerging intelligent industrial ecosystems.

CITISAIS aims to serve as a globally recognised forum that encourages innovation, collaboration, and impactful research capable of addressing current and future technological challenges across academia, government, business, and industrial sectors.

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