Overview
The University bridges academia and industry, building the facilities, research and partnerships that turn knowledge into innovation.
The University pursues this goal across its teaching, its scientific research, its campus operations and its service to the community. The sections below set out how it delivers the goal, the activities held during the year, the research its academics published, and the policies that underpin its commitment.
How the University delivers this goal
- Operates a training Pharmaceutical Factory and a Future Factory for Industrial Training that simulate a real industrial environment to international ISO standards.
- Conducts applied and basic research across its faculties through its Research Centre.
- Builds collaborations with international universities and industry that turn research into practice.
Activities in 2025/26
- FUE signed a strategic agreement with Amann Girrbach to launch an exclusive regional digital dental hub for the Middle East and Africa (November 2025).
- FUE students took part in the Huawei Global ICT Competition (October 2025) and the CFA Institute Research Challenge 2026 (October 2025).
- The Faculty of Engineering & Technology underwent its institutional accreditation renewal and Mechatronics programme accreditation (October 2025).
Research & publications in 2025/26
During 2025/26, researchers at Future University in Egypt published 67 Scopus-indexed research outputs that contribute to this goal, across its faculties and research centre. Representative works include:
- A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks. Shalby, E.M. and 3 more (2025). Scientific Reports · cited 46 times.
- Systematic review and meta analysis of mechanical properties of 3D printed denture bases compared to milled and conventional materials. Azab, A. and 7 more (2025). Scientific Reports · cited 41 times.
- Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis. Ali, T. and 6 more (2025). Scientific Reports · cited 35 times.
- Deep convolutional neural network-based enhanced crowd density monitoring for intelligent urban planning on smart cities. Mansouri, W. and 5 more (2025). Scientific Reports · cited 33 times.
Policies supporting this goal
Back to the 2025/26 report Overall report 2025/26
