Current Trends in Information Technology
E-ISSN: 2249-4707
Editor Overview
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.
Dr. Loganathan R
Professor & HOD
Sri Venkateshwara College of Engineering, Bengaluru, Karnataka, India 562157
Editor in Chief
Current Trends in Information Technology
Email :
Institutional Profile Link : https://svcengg.edu.in/faculties/dr-lognathan-r/
Publisher
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
E-mail:
[email protected]
Phone:
(+91)-0120- 4781-200
Mobile:
(+91)-981-007-8958
(+91)-966-7725-932
Focus and Scope
Last Update: 26-Apr-25
About the Journal
Current Trends in Information Technology (CTIT) 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 across multidisciplinary domains.
Focus and Scope
- Data Management
- 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 for data systems, blockchain databases, distributed databases, and decentralized data architectures.
- IoT data management: Sensor data, device data, data streaming, data pre-processing, data analytics, edge computing for IoT, cloud-based IoT data management, sustainability-aware IoT solutions.
- AI/ML data management: Feature engineering, model training data, data labeling, data annotation, explainable AI (XAI), responsible AI data practices, privacy-preserving data analysis.
- Healthcare data management: Electronic health records (EHRs), medical imaging data, patient privacy, data security in healthcare, interoperability of healthcare data, and AI applications in medical data interpretation.
- Cybersecurity data management: Security logs, threat intelligence, incident response, data forensics, anomaly detection, security information and event management (SIEM), secure cloud data storage.
- Information Databases
- Database design, database systems, information systems, information retrieval, query optimization, data modeling, schema design, relational databases, non-relational 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, and semantic information extraction.
- Real-time data analysis: Stream processing, complex event processing (CEP), real-time data visualization, in-memory databases, time-series databases.
- Knowledge graphs and semantic databases: Ontology design, Semantic Web, knowledge representation, reasoning over knowledge graphs, SPARQL query language.
- Quantum computing for databases: Quantum query algorithms, quantum-enhanced database operations.
- Blockchain databases: Distributed ledger technology (DLT), immutable databases, smart contracts, secure multi-party computation.
- Network Technologies
- Network architecture, internetworking, protocols, routing, switching, security, performance, optimization, scalability, reliability, availability, resiliency, network management, cloud networking, software-defined networking (SDN), network virtualization.
- 5G and 6G networks, wireless networks, mobile networks, Internet of Things (IoT) connectivity, fog networking, edge computing in networks, network function virtualization (NFV), quantum networking, satellite networks, LPWAN for IoT.
- Advanced topics: IP networks, overlay/underlay networks, content delivery networks (CDNs), cloud-based networks, software-defined wide-area networks (SD-WAN).
- Programming Languages
- Syntax, semantics, compiler and interpreter technologies, runtime environments, garbage collection, memory management, control flow, functions, recursion, object-oriented programming (OOP), functional programming, imperative and logic programming, concurrency, and asynchronous programming.
- Modern innovations: Domain-specific languages (DSLs), low-code/no-code platforms, AI-assisted programming, generative programming, blockchain programming, quantum programming, serverless architecture, microservices-based development.
- Secure software development: Memory safety, buffer overflow mitigation, secure coding standards, software vulnerability management.
- Intelligent Organization
- Artificial intelligence (AI), machine learning (ML), cognitive computing, intelligent systems, knowledge management, automation, decision support systems, data-driven decision-making, digital transformation initiatives, smart cities, digital twins.
- Human-computer interaction (HCI), ethics of AI in organizational settings, explainable AI (XAI), responsible AI practices, human-in-the-loop AI, and emotional intelligence systems.
- Domain applications: EdTech and personalized learning systems, healthcare (diagnostics, patient monitoring, robotic surgery), finance (fraud detection, credit scoring), supply chain (predictive maintenance, logistics optimization), government (public safety, traffic management).
- Emerging Multidisciplinary Trends
- Sustainability and Green IT: Energy-efficient data centers, eco-friendly cloud solutions, and sustainable IoT deployments.
- Biotechnology and IT convergence: Bioinformatics, computational biology, AI in genetic engineering.
- Neurotechnology: Brain-computer interfaces, cognitive computing systems.
- Urban technologies: IT solutions for smart city management, AI-driven urban planning.
- Agricultural technology: AI and IoT in precision farming, smart agriculture systems.
- Ethical and Social Aspects: Technology ethics, fairness and bias in AI, digital trust, privacy-preserving technologies.
- Advanced communications: Terahertz communications, quantum secure communications.
- Future of Internet: Satellite internet, global network coverage innovations.
- Augmented reality (AR), virtual reality (VR), metaverse ecosystems, and affective computing.
- Quantum information processing for IT applications.
Keywords
- Artificial intelligence (AI)
- Machine learning (ML)
- Deep learning
- Big data
- Cloud computing
- Internet of Things (IoT)
- Blockchain
- Cybersecurity
- 5G and beyond (6G)
- Edge computing
- Quantum computing
- Software-defined networking (SDN)
- Data Science
- Data Analytics
- Digital transformation
- Human-computer interaction (HCI)
- Ethics of technology
- Privacy and security
- Sustainability
- Open source software
- Low-code/no-code development
- Metaverse and virtual reality
- Digital twins
- Robotics and automation
- Gene editing
