Current Trends in Information Technology (CTIT) provides a comprehensive platform for cutting-edge research across the vast and rapidly evolving landscape of IT. The journal emphasizes the interdisciplinary nature of modern information technology, covering fundamental theoretical advancements and their profound practical implications. Our scope is meticulously designed to capture the most significant trends and challenges facing the Computer/IT domain, ensuring that published work remains highly relevant and impactful.

At the core of CTIT’s mission is a deep dive into **Data Management**. This encompasses not just traditional data processing, storage, and security, but extends into sophisticated areas such as data governance, ethics, and lifecycle management. The journal covers advanced topics in big data management, including the intricacies of unstructured data, real-time analytics, and emerging paradigms like knowledge graphs, semantic databases, and the nascent fields of quantum and blockchain databases. A significant focus is placed on IoT data management, addressing everything from sensor data streaming and edge computing for IoT to sustainable and privacy-aware IoT solutions. Furthermore, with the proliferation of AI, CTIT explores AI/ML data management, including critical aspects like feature engineering, data labeling, explainable AI (XAI), and responsible AI data practices. Specialized applications in healthcare data management (EHRs, interoperability, AI in medical interpretation) and cybersecurity data management (SIEM, threat intelligence, data forensics) are also central to this domain, reflecting real-world challenges and innovative solutions.

The realm of **Information Databases** forms another pivotal area, ranging from fundamental database design and query optimization to the complexities of big data databases like Hadoop and Spark, and various NoSQL architectures. We encourage submissions on unstructured data management in text, document, and multimedia databases, alongside real-time data analysis techniques. Crucially, CTIT delves into knowledge graphs, Semantic Web technologies, and the transformative potential of quantum computing for databases and blockchain databases, highlighting their role in ensuring data integrity and distributed ledger technologies.

Advancements in **Network Technologies** are continuously shaping our digital world, and CTIT provides a dedicated forum for research on network architecture, protocols, security, performance, and scalability. The journal covers the latest in 5G and 6G networks, wireless and mobile communications, IoT connectivity, and the evolving landscape of cloud networking and software-defined networking (SDN). Beyond foundational concepts, we explore cutting-edge areas like network function virtualization (NFV), quantum networking, and satellite networks, emphasizing their role in creating resilient, high-performance, and globally accessible communication infrastructures, crucial for applications from smart cities to industrial automation.

**Programming Languages** remain the bedrock of all IT innovation. CTIT examines their syntax, semantics, compiler technologies, runtime environments, and modern paradigms like object-oriented, functional, and asynchronous programming. We are particularly interested in new frontiers such as domain-specific languages (DSLs), low-code/no-code platforms, and the burgeoning fields of AI-assisted programming, generative programming, and quantum programming. Research on secure software development, including memory safety and vulnerability management, is highly valued, ensuring the development of robust and secure IT systems.

The concept of **Intelligent Organization** addresses how AI, machine learning, and cognitive computing are transforming businesses and societies. CTIT features research on intelligent systems, knowledge management, automation, and data-driven decision-making, which are key drivers of digital transformation initiatives. We also highlight the critical role of human-computer interaction (HCI), the ethics of AI, explainable AI (XAI), and responsible AI practices in organizational settings. The journal explores diverse domain applications, including AI in healthcare diagnostics, fraud detection in finance, predictive maintenance in supply chains, and smart city management, demonstrating the pervasive impact of intelligent systems.

Finally, **Emerging Multidisciplinary Trends** capture the dynamic convergence of IT with other scientific fields. CTIT covers vital areas like Sustainability and Green IT, focusing on energy-efficient data centers and eco-friendly cloud solutions. It explores the profound impact of IT on biotechnology (bioinformatics, AI in genetic engineering) and neurotechnology (brain-computer interfaces). Urban technologies, Agricultural technology, and advanced communication paradigms like Terahertz and quantum secure communications are also within scope. A strong emphasis is placed on the ethical and social aspects of technology, including fairness, bias in AI, digital trust, and privacy-preserving technologies, reflecting the journal’s commitment to responsible innovation. Topics like Augmented Reality (AR), Virtual Reality (VR), and the evolving metaverse ecosystems also represent key areas of future research.

By covering these multifaceted areas, Current Trends in Information Technology serves as an essential resource for researchers, practitioners, and policymakers seeking to understand and contribute to the advancements in Computer/IT and its broader societal implications. The journal draws insights from leading open-access repositories like DOAJ, PubMed Central, and arXiv, showcasing real-world case studies and theoretical breakthroughs that are shaping the digital future.