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 2023/24
- FUE took part in the international EduGate 2024 higher-education exhibition, presenting its faculties and programmes to prospective students and the public and advising school-leavers on university study and career pathways.
- In October 2024 the University hosted a public “Regional Challenges and Future Prospects” seminar whose speakers were drawn from Cairo University, the Ministry of Foreign Affairs and the Egyptian Centre for Strategic Studies, opening an academic discussion of regional affairs to students and the wider public.
Research & publications in 2023/24
During 2023/24, researchers at Future University in Egypt published 34 Scopus-indexed research outputs that contribute to this goal, across its faculties and research centre. Representative works include:
- Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning. Asiri, M.M. and 5 more (2024). IEEE Access · cited 89 times.
- Reinforcement learning-driven proximal policy optimization-based voltage control for PV and WT integrated power system. Rehman, A.U. and 4 more (2024). Renewable Energy · cited 83 times.
- Machine Learning Algorithms for Predicting the Water Quality Index. Hussein, E.E. and 5 more (2023). Water (Switzerland) · cited 78 times.
- Machine Learning Algorithms for Predicting Energy Consumption in Educational Buildings. Elhabyb, K. and 3 more (2024). International Journal of Energy Research · cited 66 times.
Policies supporting this goal
Back to the 2023/24 report Overall report 2023/24
