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Academics

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.