Research Priorities
1. Trustworthy and Ethical Artificial Intelligence:
Advancing AI systems that are explainable, transparent, fair, and aligned with ethical and cultural values, with applications in smart governance, healthcare, and education.
2. Intelligent Data Analytics for National Development:
Leveraging big data and machine learning to drive insights in sectors critical to Vision 2030, such as smart cities, energy, and public services.
3. Secure and Resilient Systems Architecture:
Designing scalable, secure, and resilient software and hardware systems to protect critical infrastructure from evolving cyber threats.
4. Smart Software Engineering for Digital Transformation:
Developing methodologies and tools for intelligent, automated, and sustainable software development and maintenance, focusing on high-assurance systems.
5. Next-Generation Information Systems for Decision Support:
Creating adaptive, intelligent information systems that support data-driven decision-making in government, healthcare, business, and environmental management.
6. Privacy-Preserving Machine Learning and Data Sharing:
Exploring secure multi-party computation, federated learning, and differential privacy for ethical data use in collaborative AI environments.
7. AI-Driven Cybersecurity and Threat Intelligence:
Utilizing artificial intelligence and deep learning for proactive threat detection, anomaly detection, and automated incident response.
8. Human-Centered Computing and Smart Interfaces:
Enhancing user interaction through intelligent interfaces, AR/VR, and natural language processing to improve accessibility and user experience in digital services.
9. Sustainable and Green Computing:
Innovating energy-efficient algorithms, cloud architectures, and software engineering practices that support environmental sustainability.
10. Digital Twin and Smart Infrastructure Systems:
Integrating AI, IoT, and simulation models to create digital twins for real-time monitoring and optimization of urban infrastructure and industrial systems.