Aims and Scope
Artificial Intelligence in Systems and Applications (AISA) is an international, peer-reviewed, open-access journal published by the Institute for Artificial Intelligence and Big Data (AIBIG), Universiti Malaysia Kelantan (UMK). The journal is dedicated to publishing high-quality, original research that advances the theory, development, and practical applications of Artificial Intelligence (AI), Data Science, Intelligent Systems, and related computing disciplines.
AISA aims to provide an interdisciplinary platform for researchers, academicians, industry professionals, and practitioners to disseminate innovative research, exchange knowledge, and address contemporary challenges in AI-driven technologies. The journal welcomes theoretical, experimental, and application-oriented studies that demonstrate scientific novelty, technical excellence, and real-world impact.
AISA particularly encourages contributions that explore emerging technologies and interdisciplinary applications of Artificial Intelligence across diverse sectors, including healthcare, education, agriculture, manufacturing, smart cities, environmental sustainability, finance, cybersecurity, and digital transformation.
CORE FOCUS AREAS
1. Artificial Intelligence
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Explainable Artificial Intelligence (XAI)
- Generative Artificial Intelligence (Generative AI)
- Multi-Agent Systems
- Expert Systems and Knowledge-Based Systems
- Computational Intelligence
2. Data Science and Analytics
- Big Data Analytics
- Data Mining
- Predictive Analytics
- Business Intelligence
- Data Engineering
- Data Visualization
- Statistical Learning
- Decision Support Systems
3. Intelligent Computing
- Natural Language Processing (NLP)
- Computer Vision
- Pattern Recognition
- Speech and Audio Processing
- Image Processing
- Human-Computer Interaction (HCI)
- Intelligent Information Systems
4. Software Engineering and Intelligent Systems
- Intelligent Software Engineering
- Software Architecture
- Software Quality Assurance
- Requirements Engineering
- Agile Software Development
- DevOps and Software Automation
- AI-assisted Software Development
5. Computer Systems and Emerging Technologies
- Internet of Things (IoT)
- Edge Computing
- Cloud Computing
- Distributed Computing
- High Performance Computing
- Cybersecurity
- Blockchain Technology
- Digital Forensics
6. Robotics and Autonomous Systems
- Intelligent Robotics
- Autonomous Systems
- Robotic Process Automation (RPA)
- Smart Sensors
- Autonomous Vehicles
- Human-Robot Interaction
7. AI Applications
- AI in Healthcare
- AI in Education
- AI in Agriculture
- AI for Smart Cities
- AI in Manufacturing
- AI in Environmental Sustainability
- AI in Finance and Business
- AI for Disaster Management
- AI in Public Services
- AI for Social Good
8. Emerging Topics
- Ethical AI
- Responsible AI
- AI Governance
- Trustworthy AI
- Federated Learning
- Digital Twins
- Quantum Computing Applications in AI
- AI for Sustainable Development
Through this comprehensive scope, Artificial Intelligence in Systems and Applications (AISA) seeks to promote interdisciplinary collaboration and accelerate scientific discovery by providing an international platform for the publication of innovative research that contributes to the advancement of Artificial Intelligence and its applications across academia, industry, government, and society.
