Dr. Ayman Elshabrawy
Computer Engineering
Achieving excellence and leadership locally, regionally and internationally merging computer science, computer engineering, and artificial intelligence into the scope of teaching, learning, and applied scientific research. It prepares graduates that lead the engineering, scientific, and technological community to serve the environment and community.
Provide academic programs that stimulates the discovering of new knowledge then applying, scattering, and marketing it. The Faculty encourages creativity and innovation. It achieves Excellency by using modern educational methods. It develops its graduates’ abilities and skills to contribute to the knowledge economy while adhering to professional ethics and keeping pace with scientific and technological development. It encourages the culture of participation with the industrial community.
Committed to our vision and mission in every communication channel to reinforce the identity and gain trust.
Embracing and acting on the responsibility to guarantee diversity and equity.
To strive to be the best in all that the universities offer in terms of education, academic research, creative expression and community service.
Being honest and ethical in all interactions, maintaining the highest ethical standards in teaching, research, public engagement and service.
Striving to create an environment in which diverse opinions can be expressed and heard.
To understand the unique contributions of every person in the university community and to value diverse perspectives.
Preparation of knowledgeable, skillful, and professional outstanding graduates on regional and international level through the following:
Configuring the appropriate environment for scientific research through the following:
Development of community services through the following:
The program is concerned with preparing graduates capable of securing computer systems and networks and distinguish
between different models of information technology security.
The program considers developing smart software that depends on machine learning and deep learning that depends on artificial neural networks and how to apply this software in Engineering systems
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