The Computer Science and Engineering graduate program aims to prepare students for careers at the forefront of computer research, teaching and industry by providing advanced knowledge, both in theory and application on a wide variety of state-of-the-art computer hardware and software systems. The integrated skills of Computer and Software System engineers are becoming increasingly valuable for Information Industry, especially in areas of: Computer System Design, Embedded System Design, Computer Networks, Distributed Systems, Software Systems, Intelligent Systems, etc...
Vision
Modeling and solving real-life large-scale problems such as traffic management, sustainable management of environment and energy resources, global warming, weather forecasting, cancer diagnosis from gene expression dataأ¢â‚¬آ¦etc. These problems are characterized by their large volume of data and high dimensionality. This necessitates data acquisition from different types of sensors, distributed problem solving as well as low cost, intelligent and high performance computing.
Mission
- To provide a high-quality research environment having a national as well as international academic reputation.
- To prepare future researchers able to make significant contribution to society and able to lead research teams in R and D sectors.
- To give an equal opportunity for students from all countries to enroll in postgraduate programs.
Objectives
- To provide graduate students with a profound knowledge of a specialization area within Computer Science and Engineering, while remaining familiar with allied areas.
- To provide the graduate students with competence in performing independent research, in communicating effectively, and in learning independently.
- To advance the state of research at E-JUST, in Egypt, and in the region.
- To advance the state-of-the-art in the specialized fields of Computer Science and Computer Engineering.
- To enhance the relationship between university and industry by finding solutions to engineering problems through profound researches.
Laboratories
- Hardware Systems
- Multicore processors, Low Power High Performance computing, Parallelizing Compiler, Supercomputer, Scheduling Algorithms, Parallel processing, Traffic Management and Control, Cloud Computing.
- Wireless Sensor Networks: Location determination systems, Wireless security, Mobile Healthcare. Embedded Systems and Distributed Computing.
- Software Systems
- Design and Implementation of Programming Languages, Formal Verification.
- Intelligent Systems: Multi-Agent Systems, Computer Vision, Natural Language Understanding, Machine learning, Soft Computing (Neural Networks, Fuzzy Logic, biologically inspired search and optimization techniques).
- Bioinformatics.