ctit maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
Focus and Scope
About the Journal
Current Trends in Information Technology [2249-4707(e)] is a peer-reviewed hybrid open-access journal launched in 2011 focused on the rapid publication of fundamental research papers on all areas of Information technology.
Focus and Scope
Data processing, data storage, data acquisition, data governance, data security, data privacy, data ethics, data lifecycle management, data quality, data integration, data migration, master data management, metadata management, information access, information retrieval.
Edge computing, fog computing, big data management, unstructured data management, real-time data analysis, knowledge graphs, semantic databases, quantum computing, blockchain databases, distributed databases.
IoT data management: Sensor data, device data, data streaming, data pre-processing, data analytics, edge computing for IoT, cloud-based IoT data management.
AI/ML data management: Feature engineering, model training data, data labeling, data annotation, explainable AI (XAI), responsible AI data practices.
Healthcare data management: Electronic health records (EHRs), medical imaging data, patient privacy, data security in healthcare, interoperability of healthcare data.
Cybersecurity data management: Security logs, threat intelligence, incident response, data forensics, anomaly detection, security information and event management (SIEM).
Database design, database systems, information systems, information retrieval, query optimization, data modeling, schema design, relational databases, non-relational databases, big data databases.
Big data management, unstructured data management, real-time data analysis, knowledge graphs, semantic databases, quantum computing, blockchain databases, distributed databases.
Big data databases: Hadoop, Spark, NoSQL databases, data lakes, data warehouses, data marts, distributed file systems, big data analytics.
Unstructured data management: Text databases, document databases, multimedia databases, XML databases, JSON databases, information retrieval from unstructured data.
Real-time data analysis: Stream processing, complex event processing (CEP), real-time data visualization, in-memory databases, time-series databases.
Knowledge graphs: Ontology design, Semantic Web, knowledge representation, reasoning over knowledge graphs, information retrieval using knowledge graphs.
5G, 6G, wireless networks, mobile networks, Internet of Things (IoT), edge computing, fog computing, network function virtualization (NFV), quantum networks, satellite networks, low-power wide-area networks (LPWAN).
Domain-specific languages (DSLs), low-code/no-code development, quantum programming, AI-assisted programming, metaprogramming, generative programming, blockchain programming, serverless computing, and microservices architecture.
Usability and Learnability: Programming language design, ease of use, cognitive aspects of programming, programming education, code readability, natural language processing (NLP) for programming, programming tutorials, learning resources, and programmer productivity.
Performance and Efficiency: Compiler optimization, runtime optimization, memory efficiency, time complexity, space complexity, algorithm design, data structures, benchmarking, profiling, and resource management.
Metaprogramming: Template metaprogramming, macros, reflection, generative programming, domain-specific languages (DSLs)
Artificial intelligence (AI), machine learning (ML), cognitive computing, intelligent systems, knowledge management, automation, decision support systems, data-driven decision-making, organizational transformation, smart cities, internet of things (IoT), digital twins, human-computer interaction (HCI), ethics of AI in organizations.
Business Intelligence & Analytics: Business process automation, forecasting, anomaly detection, risk management, customer churn prediction, sentiment analysis, market research, and personalized recommendations.
Explainable AI (XAI): Understanding and interpreting AI decisions, ensuring transparency and fairness.
Human-in-the-Loop AI: Collaboration between humans and AI for improved decision-making and ethical considerations.
Responsible AI: Addressing bias, fairness, privacy, and security concerns in AI applications.
Edge Computing: Decentralized intelligence embedded in devices for faster, more efficient decision-making.
Quantum Computing: Potential for solving complex optimization problems and accelerating specific AI algorithms.
Artificial intelligence (AI)
Machine learning (ML)
Internet of Things (IoT)
5G and beyond (6G)
Software-defined networking (SDN)
Human-computer interaction (HCI)
Ethics of technology
Privacy and security
Open source software
Metaverse and virtual reality
Robotics and automation
Open Access Statement
The Current Trends in Information Technology (ctit) is an open-access (OA) publication which provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. All published works will be available to a worldwide audience, free, immediately upon publication. Publication in the journal is subject to payment of an article processing charge (APC). The APC serves to support the journal and ensures that articles are freely accessible online in perpetuity under a Creative Commons licenses.
Publication Ethics Statement
ctit fully adhere to Code of Conduct of Publication Ethics (COPE) and to its Best Practice Guidelines. The Editorial Team enforces a rigorous peer-review process with strict ethical policies and standards to ensure the addition of high-quality scientific studies to the field of scholarly publication. In cases where ctit becomes aware of ethical issues, it is committed to investigating and taking necessary actions to maintain the integrity of the literature and ensure the safety of research participants. Click here to read more about the Research & Publication virtue ethics
All the information’s, opinions, and views mentioned here represents the authors and the contributions of the articles.
Publication of articles, advertisements, or product information does not constitute endorsement or approval by the journal.
Cannot be help responsible for any error or consequences while using the information updated in this journal.
Although every effort is done by ctit to see that there’s no any inaccurate data, misleading data, opinion or statement within the journal, the data and opinions appearing in the articles are the responsibility of the contributors concerned.
Last updated: 2022-06-15
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