Overview
The University regards quality education as a public good, sharing its teaching, library and expertise with learners of every age beyond its own lecture halls.
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
- Opens its library and learning resources to learners and researchers from beyond the University.
- Hosts public lectures and community educational events on campus.
- Offers professional and executive courses through its Department of Continuing Education, open to the public.
- Delivers educational outreach in local schools and communities through student-led campaigns.
- Ensures access to these activities for all, without discrimination, and embeds the SDGs across its curricula.
Activities in 2025/26
- FUE was recognised among the Top 50 universities in the QS Arab Region University Rankings 2026 (October 2025).
- The Faculty of Economics & Political Science honoured its top students at the FEPS Day of Excellence (October 2025).
- The Faculty of Engineering & Technology introduced new courses and hosted the orientation for the Egyptian Collegiate Programming Contest (2025/2026).
Research & publications in 2025/26
During 2025/26, researchers at Future University in Egypt published 22 Scopus-indexed research outputs that contribute to this goal, across its faculties and research centre. Representative works include:
- 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.
- Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning. Onyelowe, K.C. and 10 more (2025). Scientific Reports · cited 27 times.
- Physics-informed hybrid reinforcement learning for estimating lithium-ion battery state of health. Salem, N.M. and 1 more (2025). Scientific Reports · cited 23 times.
- Prediction and validation of mechanical properties of self-compacting geopolymer concrete using combined machine learning methods a comparative and suitability assessment of the best analysis. Onyelowe, K.C. and 6 more (2025). Scientific Reports · cited 18 times.
Policies supporting this goal
Back to the 2025/26 report Overall report 2025/26
