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College of Engineering and Technology





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College Programs

Dean's Message

Welcome to the College of Engineering and Technology (CET). The college aims at providing cutting-edge engineering and technology education in various specialization fields. At CET, we provide an educational environment that enables our students to engage in active learning to gain the skills and knowledge needed for a successful professional career. In order to develop students with creative minds and high levels of professional skills, we adopt student-centered teaching and learning methodologies focusing on academic rigor as well as hands-on practice using cutting-edge facilities.
At CET we provide a vibrant and unique experience through highly advanced and market-oriented programs. We are offering B.Sc. programs in Electrical Engineering, Information Technology, Information Systems, and Interior Design.

Our programs are all accredited by the Ministry of Education in the UAE. Furthermore, and to meet the challenges of a fast-changing engineering and technology job market in today’s knowledge-based economies, all our programs include internship periods to prepare students for immediate employment upon graduation.
CET has a team of outstanding faculty and staff who provide all possible support to our students and help them to achieve their educational objectives and to contribute to the sustainable development of the UAE, the region, and the world.

CET has also a diverse student body and faculty, whom we consider a key element in our endeavor toward achieving inclusiveness and excellence. Once again, I welcome you to the CET in USTF and invite you to be a proud member of this ever-growing family.


Dr. Ahmed Abdelmonem Khalifa

Acting Dean College of Engineering and Technology.

Faculty and Staff

Terminal degree

PhD, Artificial Intelligence

Research areas
  • His personal and collaborative research mainly centers round developing and applying novel cognitive, computational intelligence and machine learning techniques to a range of complex real-world multi-modal application areas
  • More generally, he is interested in novel interdisciplinary research for mathematical modeling, analysis and control of complex systems – both theory and applications.
Terminal degree

Ph.D. Loughborough University England

Research areas
  • Power, Control, Renewable energy, MEMS, WSN, Education.

Dr. Mohammed Tarique

Associate Professor

Terminal degree

Doctor of Philosophy (Ph.D.), Electrical Engineering

Research areas
  • Communication Networks
  • Wireless Communications
  • Digital Communications

Dr. Mohammed Hasan Salahat

Assistant Professor

Terminal degree

Ph.D. in Systems Development

Research areas
  • Dr. Salahat has research interests are in the following areas: Big Data, Domain Driven Design, IS Development, IS Education, E-Technologies, Privacy and Security, Business Processes Management, HC, IoT, AI, Data Mining.
  • Dr. Salahat has been a member of UKAIS (UK Academy for Information Systems) since 2009. He’s also a reviewer for Computer Security Journal, Elsevier, and Int. J. of Technology Marketing, Inderscience Publishers Ltd.2021.
  • Dr. Mohammed has been of several technical conferences like, UKAIS Annual conference-Oxford, International Conference on Information Management (ICIM2020), Imperial College London, WASET Conference, WASET Conference, ICCR in Dubai.
Terminal degree

Ph.D. in Electrical Engineering

Research areas
  • Dr.Yomna research areas are in renewable energy systems, photovoltaic modelling, Al application in detecting PV defect, high voltage application and Electric power machines.
Terminal degree

Ph.D. in Computer Science (CyberSecurity)

Research areas
  • Cyber Security
  • Quantum Cryptography and Quantum Communication
  • Cryptanalysis of Current Quantum Cryptographic Protocols

Momen Mahmoud Odeh

Teaching Assistant

Terminal degree

Bachelor in Communication Engineering

Research areas

Dr. Akram Pasha

Visiting Assistant Professor

Terminal degree

(Ph.D.) in Faculty of Computer and Information Sciences

Research areas
  • Big Data Analytics
  • Computational Intelligence
  • Federated Learning for Privacy-Preserving Healthcare Analytics