Faculty of Computer Science and Information Technology (CSIT) Research areas

CSIT offers a dynamic and collaborative research environment that encourages innovation across multiple domains of computing and information technology. Graduate students are invited to engage in research within the following areas:

Computer Science

• Parallel Computing and High-Performance Systems
• Quantum Computing and Neuro-Processing Acceleration
• Compiler Design and Optimization
• Advanced Algorithms and Data Structures

Software Engineering

• Software Engineering and Formal Methods
• Software Quality, Reliability, and Verification

Artificial Intelligence

• Machine Learning and Deep Learning
• Natural Language Processing
• Embedded and Edge AI
• Explainable and Trustworthy AI

Data Science

• Data Mining and Big Data Analytics
• Multi-Agent Systems and Cognitive Computing
• Predictive Modeling and Decision Intelligence

Cybersecurity

• Cloud, Edge, and Fog Computing Security
• Internet of Things (IoT) and Interconnected Vehicles
• Cyber Threat Detection and Mitigation
• IoT Security and Privacy Protection

Bioinformatics

• Artificial Intelligence and Machine Learning for Biological Data
• High-Performance Computing for Bioinformatics Applications
• Quantum Computing for Bioinformatics Algorithms
• Computational Biology and Genomic Data Analysis
• Biomedical Signal and Image Processing
• Systems Biology and Drug Discovery
• DNA and Protein Sequence Analysis and Modeling

4. Cross-Cutting Research Themes

CSIT’s research strategy aligns with E-JUST’s mission and Egypt’s Vision 2030, emphasizing interdisciplinary collaboration and innovation in the following emerging areas:

• Smart Healthcare and Wearable Systems
• Smart Cities and Digital Transformation
• Industry 4.0 and Intelligent Manufacturing
• Cybersecurity and Data Protection
• Quantum and Neuromorphic Computing
• Sustainable Development through ICT Innovation