Journal of Computer Technology & Applications

Journal of Computer Technology & Applications [2229-6964(e)] is a peer-reviewed hybrid open-access journal launched in 2010, focused on the rapid publication of fundamental research papers in all areas concerning the latest and recent research and review work in computers and their commercial and research contributions.

• Computer architecture and systems: processor and memory hierarchy design, multicore and multiprocessor systems, hardware accelerators and domain-specific architectures, performance modelling and benchmarking, energy-efficient computing, and architectural simulation methodologies.
• Operating systems and virtualisation: kernel design and scheduling, memory and storage management, containerisation and virtual machine monitors, resource isolation and orchestration, real-time and embedded operating systems, and system-level performance analysis.
• Software engineering: requirements engineering and specification, software architecture and design patterns, development methodologies and process models, testing, verification, and validation, software reliability and maintainability, technical debt and refactoring, and empirical studies of software development practice.
• Algorithms and theory of computation: algorithm design and complexity analysis, approximation and randomised algorithms, formal methods and program verification, automata and computability, optimisation algorithms, and computational geometry and graph algorithms.
• Data structures, databases, and information systems: database design and query processing, distributed and NoSQL data stores, indexing and retrieval structures, data integration and interoperability, semantic data models and ontologies, and enterprise information system design.
• Artificial intelligence and machine learning: supervised, unsupervised, and reinforcement learning, deep learning architectures and training methods, natural language processing, knowledge representation and reasoning, explainability and model interpretability, and evaluation methodology and benchmarking.
• Data science and analytics: large-scale data processing frameworks, statistical learning and predictive modelling, data mining and pattern discovery, stream and real-time analytics, data visualisation, and data quality and preparation pipelines.
• Computer networks and distributed systems: network protocols and architectures, software-defined networking, cloud and edge computing platforms, distributed consensus and fault tolerance, peer-to-peer and blockchain systems, and performance and scalability of networked services.
• Cybersecurity and cryptography: cryptographic primitives and protocol design, authentication and access control, network and application security, intrusion detection and threat analysis, privacy-preserving computation, digital watermarking and content protection, and security of machine learning systems.
• Information theory and coding: entropy and channel capacity, error-correcting and block codes, source coding and compression, communication over noisy channels, information-theoretic security, and applications of information measures to complex systems.
• Computer vision, graphics, and multimedia: image and video processing, object detection and recognition, pattern recognition and feature extraction, medical and scientific image analysis, computer graphics and rendering, and multimedia indexing and retrieval.
• Internet of Things and cyber-physical systems: sensor networks and device architectures, data interoperability across heterogeneous devices, edge intelligence and on-device processing, industrial IoT and smart manufacturing, and IoT platforms for healthcare, transport, and urban systems.
• Human–computer interaction: interface and interaction design, usability evaluation methods, accessibility and inclusive design, user experience in emerging platforms, and gamification and engagement techniques in computing systems.
• Applied and interdisciplinary computing: scientific and high-performance computing, computing applications in healthcare, education, finance, and engineering, simulation and modelling of complex systems, and evaluation of technology adoption in organisational settings.