Overview
The University promotes healthy, responsible food provision on its campus and supports families in need in the communities around it.
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
- Provides healthy, affordable and varied food across its campus food court, including vegetarian options for all.
- Runs seasonal food-support drives, particularly during Ramadan, that relieve hunger among students and families in need.
- Applies responsible catering and procurement that favour local and sustainable sources and limit food waste.
- Builds nutrition and food-safety awareness through the teaching and community activity of its health faculties.
Activities in 2022/23
- During Ramadan in March 2023, the University prepared and distributed charity food bags to families in need together with the Hayah Foundation, a student-driven effort that addresses seasonal food insecurity in the surrounding communities.
Research & publications in 2022/23
During 2022/23, researchers at Future University in Egypt published 6 Scopus-indexed research outputs that contribute to this goal, across its faculties and research centre. Representative works include:
- Spatial distribution and risk assessments due to the microplastics pollution in sediments of Karnaphuli River Estuary, Bangladesh. Rakib, M.R.J. and 11 more (2022). Scientific Reports · cited 241 times.
- Biochar-Soil-Plant interactions: A cross talk for sustainable agriculture under changing climate. Murtaza, G. and 12 more (2023). Frontiers in Environmental Science · cited 142 times.
- Modified Barnacles Mating Optimization with Deep Learning Based Weed Detection Model for Smart Agriculture. Albraikan, A.A. and 5 more (2022). Applied Sciences (Switzerland) · cited 17 times.
- Exploiting Hyperspectral Imaging and Optimal Deep Learning for Crop Type Detection and Classification. Alajmi, M. and 5 more (2023). IEEE Access · cited 16 times.
Policies supporting this goal
Back to the 2022/23 report Overall report 2022/23
