Journal of Intelligent and Multidisciplinary Computing

Journal of Intelligent and Multidisciplinary Computing publishes original research articles, reviews, short communications, case studies, and technical perspectives that explore every aspect of intelligent computing and its multidisciplinary applications. We welcome submissions in a variety of thematic areas, including (but not limited to):

Artificial Intelligence & Machine Learning

• Supervised, unsupervised, and reinforcement learning algorithms
• Deep learning architectures, neural networks, and advanced model optimization
• Explainable AI (XAI), trustworthy AI, and human-AI interaction
• Pattern recognition, computer vision, and intelligent decision-making systems

Data Science, Big Data & Analytics

• Big data processing, distributed computing, and cloud-based analytics
• Data mining, feature engineering, and predictive modeling
• Data visualization, information retrieval, and knowledge discovery
• Scalable algorithms for high-dimensional and real-time data

Cybersecurity, Privacy & Intelligent Systems

• AI-driven threat detection, intrusion prevention, and cybersecurity frameworks
• Cryptography, secure communication, and privacy-preserving computation
• Blockchain, decentralized systems, and secure distributed architectures
• Risk assessment and intelligence-based cyber resilience mechanisms

Internet of Things (IoT) & Smart Systems

• IoT architectures, sensor networks, and intelligent embedded systems
• Smart homes, smart cities, and automated industrial systems (Industry 4.0)
• Edge computing, fog computing, and resource-optimized systems
• Cyber-physical systems and real-time intelligent monitoring platforms

Robotics, Automation & Human-Machine Interaction

• Autonomous robots, robotic perception, and motion planning
• Intelligent control systems, automation frameworks, and robotic cognition
• Haptics, interaction design, and adaptive human-robot collaboration
• Swarm robotics, cooperative systems, and multi-agent coordination

Computational Intelligence & Optimization

• Evolutionary algorithms, swarm intelligence, and bio-inspired computing
• Fuzzy logic, neural-fuzzy systems, and hybrid intelligent approaches
• Optimization techniques for complex, large-scale, or nonlinear problems

Multidisciplinary Computing Applications

• AI in healthcare, bioinformatics, medical imaging, and diagnostics
• AI-driven solutions in finance, business intelligence, and economics
• Smart agriculture, environmental monitoring, and sustainable technologies
• Intelligent systems for education, transportation, and social sciences

Emerging Technologies & Interdisciplinary Innovation

• Quantum computing, neuromorphic systems, and future computing paradigms
• Digital twins, simulation-based intelligence, and virtual/augmented reality
• Technology integration, scalability, and real-world system deployments
• Policy, governance, ethics, and societal impacts of intelligent technologies