Focus & Scope

  1. Programming and Software Development
    • Software development methods.
    • Development of web, desktop, and mobile applications.
    • Software testing techniques and debugging.
  2. Algorithms and Data Structures
    • Algorithm analysis and design.
    • Algorithm optimization for speed and memory efficiency.
    • Development of new data structures and their practical applications.
  3. Artificial Intelligence (AI)
    • Machine learning and deep learning.
    • Expert systems and natural language processing.
    • Artificial intelligence in robotics, computer vision, and image processing.
  4. Cybersecurity
    • Encryption techniques and data security.
    • Network and operating system security.
    • Threat detection and prevention in cybersecurity.
  5. Computer Systems and Architecture
    • Computer system design and implementation.
    • Computer architecture and organization.
    • Distributed systems, cloud computing, and multi-core systems.
  6. Parallel and Distributed Computing
    • Parallel and distributed data processing.
    • Cluster and grid computing systems.
    • Cloud computing and edge computing technologies.
  7. Computer Networks and Telecommunications
    • Computer network architecture and communication protocols.
    • Network security, bandwidth management, and quality of service (QoS).
    • Emerging network technologies such as 5G, IoT (Internet of Things), and wireless communication.
  8. Functional Programming and New Paradigms
    • Concepts and applications of functional programming.
    • Other programming paradigms such as logic, declarative, and reactive programming.
  9. Human-Computer Interaction (HCI)
    • User interface (UI/UX) design.
    • Augmented Reality (AR) and Virtual Reality (VR) technologies.
    • Research on user experience and accessibility.
  10. Databases and Information Systems
    • Design, implementation, and optimization of database systems.
    • Big Data and large-scale data processing.
    • Relational and NoSQL database management systems.
  11. Quantum Computing
    • Research and development in quantum computing.
    • Quantum algorithms and their practical applications.