Call for contributions
Topics of interest
Authors are invited to submit original research papers related to, but not limited to, the following topics. If your work sits between two of these areas, submit it — the conference exists for exactly that kind of contribution.
Machine Learning and Deep Learning
- Supervised, unsupervised and self-supervised learning
- Neural architectures, transformers and foundation models
- Transfer learning and few-shot methods
- Explainable and trustworthy AI
AI in Finance
- Credit scoring and risk modelling
- Fraud and anomaly detection
- Algorithmic trading and forecasting
- Regulatory technology
AI in Healthcare
- Medical imaging and diagnostics
- Clinical decision support
- Epidemiological modelling
- Health records and privacy-preserving learning
AI in Education
- Adaptive and personalised learning
- Automated assessment
- Learning analytics
- Arabic-language educational technology
AI in Engineering
- Predictive maintenance
- Smart infrastructure and energy systems
- Robotics and control
- Computer vision for industrial inspection
Data Science and Predictive Analytics
- Big data architectures and pipelines
- Time-series forecasting
- Data quality, bias and governance
- Visual analytics
Intelligent Decision Support Systems
- Multi-criteria decision making
- Knowledge representation and reasoning
- Optimisation under uncertainty
- Human-in-the-loop systems
Interdisciplinary AI-Driven Solutions
- AI for agriculture and food security
- Environmental and climate applications
- AI in the humanities and social sciences
- Ethics, policy and societal impact
Cybersecurity and AI
- Intrusion and malware detection
- Vulnerability assessment and threat intelligence
- Adversarial machine learning
- Privacy-enhancing technologies
Submit your paper via Microsoft CMT
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