Aim and Scope

Journal of Computing Research and Innovation (JCRINN) - Scope and Themes

Mission: The Journal of Computing Research and Innovation (JCRINN) is a peer-reviewed international journal that emphasizes the publication of original research focused on innovative applications and significant advancements in the computing sciences. The journal aims to connect theoretical contributions with real-world implementations, encouraging submissions that demonstrate novel methodologies, applied computational frameworks, and forward-looking technological solutions. JCRINN supports a scholarly environment for researchers, engineers, and educators to disseminate cutting-edge work spanning the full breadth of computer science. Manuscripts addressing theoretical and application constructs, empirical studies, methodological innovations, case-based analyses, and state-of-the-art surveys are welcomed.

Scope: JCRINN invites contributions that significantly advance the state-of-the-art in computing. The journal's scope is organized into, but not limited to, the following four broad categories:

1. Emerging Techniques in Computational Intelligence and Analysis:

This section focuses on the theory, design, application, and evaluation of systems that exhibit intelligent behavior and advanced analytical capabilities. Topics include:

• Machine Learning Paradigms (Supervised, Unsupervised, Semi-supervised, Reinforcement Learning)
• Deep Learning Architectures (CNNs, RNNs, Transformers, Autoencoders, GANs)
• Neural Networks and Neurocomputing
• Explainable AI (XAI), Interpretability, and Trustworthy AI
• Fuzzy Logic and Systems
• Evolutionary Computation and Swarm Intelligence
• Natural Language Processing and Computational Linguistics
• Computer Vision and Image/Video Analysis
• Big Data Analytics, Data Mining, and Knowledge Discovery
• Pattern Recognition and Feature Engineering
• AI Ethics, Fairness, Accountability, and Transparency
• Applications of AI in diverse domains (e.g., healthcare, finance, engineering, education)
• Quantum Machine Learning

2. Innovations in Human-Computer Interaction, User Experience, and Accessible Design:

This section explores novel approaches to designing, developing, and evaluating interactive computing systems that are effective, usable, engaging, and accessible to all. Topics include:

• User Interface (UI) and User Experience (UX) Design principles and methodologies
• Interaction Design Techniques and Modalities (e.g., touch, gesture, voice, gaze)
• Child Computer Interaction
• Usability Engineering, Testing, and Evaluation
• Accessibility, Inclusive Design, and Assistive Technologies
• Human-Robot Interaction (HRI) and Social Robotics
• Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) systems and applications
• Educational Multimedia
• Affective Computing and Emotional Interfaces
• Computer-Supported Cooperative Work (CSCW) and Social Computing
• Human Factors in Computing Systems
• Visualization and Information Design
• User Studies, Ethnography, and Participatory Design practices

3. Innovation of Mathematical and Statistical Application:

This section is dedicated to the application of rigorous mathematical, statistical, and algorithmic methods to solve complex computational problems and model intricate systems. Topics include:

• Algorithm Design, Analysis, and Optimization
• Numerical Methods and Scientific Computing
• Mathematics Education
• Actuarial Mathematics
• Simulation, Modeling, and Performance Evaluation of Computing Systems
• Statistical Learning Theory and Applications
• Bayesian Methods and Probabilistic Modeling
• Operations Research and Optimization Techniques (Linear, Non-linear, Stochastic)
• Fuzzy MCDM
• Formal Methods, Verification, and Validation
• Cryptography, Computational Number Theory, and Security Foundations
• Graph Theory and Network Analysis applications
• Computational Biology and Bioinformatics modeling

4. Innovative Applications in Digital Infrastructure, Connectivity, and Security

This section covers advancements in the design, implementation, management, and security of communication networks and computing infrastructures in digital society. Topics include:

• Network Architectures, Protocols, and Standards (e.g., 5G/6G, TCP/IP evolution)
• Wireless, Mobile, and Ad Hoc Networks
• Cloud Computing, Edge Computing, and Fog Computing paradigms
• Internet of Things (IoT) Systems, Architectures, and Applications
• Software-Defined Networking (SDN) and Network Function Virtualization (NFV)
• Cybersecurity, Network Security, Intrusion Detection, and Prevention
• Blockchain Technology and Distributed Ledger Systems
• Distributed Systems, Parallel Computing, and High-Performance Computing (HPC)
• Data Center Architecture, Management, and Optimization
• Green Computing and Energy-Efficient Networking
• Quantum Networking and Communication
• Network Management, Monitoring, and Orchestration

Types of Submissions: JCRINN welcomes original research articles and comprehensive systematic literature review papers. Authors are strongly encouraged to submit work that emphasizes reproducibility, including making code and datasets available whenever possible.

Special Note on Review Papers:JCRINN will only consider systematic review papers that strictly adhere to established selection methodology guidelines, specifically PRISMA or ROSES. Narrative, scoping, or other types of review papers that do not follow these protocols will not be considered.