Aims and Scope
Computational Discovery and Intelligent Systems (CDIS) is an international peer-reviewed journal published by SIRG Publishing. The journal focuses on high-quality research in artificial intelligence, computational sciences, intelligent systems, data-driven technologies, and interdisciplinary digital innovation.
1. Artificial Intelligence and Machine Learning
- Machine learning algorithms and predictive modeling
- Deep learning architectures and neural computation
- Reinforcement learning and autonomous decision systems
- Generative AI and foundation models
- Explainable, interpretable, and trustworthy AI
- Graph neural networks and graph-based learning
- AI robustness, verification, and reliability
2. Data Science and Knowledge Discovery
- Data analytics and intelligent data mining
- Pattern recognition and statistical learning
- Feature engineering and dimensionality reduction
- Big data processing and high-dimensional analysis
- Data integration, preprocessing, and fusion techniques
- Automated machine learning (AutoML)
- Probabilistic modeling and uncertainty analysis
3. Computational Modeling and Scientific Computing
- Numerical analysis and scientific computing
- Computational simulation and virtual modeling
- Multi-scale and multi-physics systems
- Digital twins and intelligent simulation environments
- Simulation-driven optimization techniques
- Computational methods in engineering and applied sciences
4. Intelligent Systems and Autonomous Technologies
- Intelligent control and adaptive systems
- Robotics and autonomous agents
- Human–computer interaction and intelligent interfaces
- Cognitive and knowledge-based systems
- Smart manufacturing and Industry 4.0 technologies
- Intelligent automation and embedded smart systems
5. Optimization and Decision Sciences
- Mathematical and computational optimization
- Convex and non-convex optimization methods
- Metaheuristic and evolutionary algorithms
- Multi-objective optimization techniques
- Scheduling, logistics, and resource allocation
- Decision-support and planning systems
6. Bioinformatics, Healthcare, and Computational Sciences
- Bioinformatics and computational biology
- Computational pharmacology and drug discovery
- Health informatics and medical intelligence systems
- AI applications in healthcare and biomedical analysis
- Computational chemistry and biological data analysis
7. High-Performance and Distributed Computing
- Parallel and distributed computing systems
- GPU/TPU acceleration techniques
- Scalable AI infrastructures and architectures
- Cloud, edge, and fog computing
- Large-scale computational intelligence systems
8. Cybersecurity, Privacy, and Secure Intelligent Systems
- Artificial intelligence for cybersecurity
- Secure and privacy-preserving computation
- Intelligent threat detection and cyber defense
- Machine learning for intrusion detection and digital forensics
- Blockchain and decentralized intelligent systems
- Quantum cryptography and post-quantum security
9. Smart Technologies and Emerging Innovations
- Internet of Things (IoT) and smart devices
- Smart cities and intelligent infrastructure
- Intelligent transportation and smart mobility
- FinTech and intelligent financial systems
- Augmented reality, virtual reality, and metaverse technologies
- Green computing and sustainable intelligent technologies
- Quantum computing and quantum-inspired applications
10. Interdisciplinary and Societal Applications
- AI applications in education, economics, and social systems
- Responsible, ethical, and human-centered AI
- Computational law and AI governance
- Intelligent communication and next-generation networks
- Hybrid intelligent systems and interdisciplinary computing
- Emerging trends in computational intelligence and digital transformation
