Numerous algorithms have been developed over the last few years to create real-time path-planning systems for autonomous robots. There are three things or activities that must be followed or carried out by an autonomous robotic system to enable the execution of the task of robot navigation. These activities are mapping and modeling the environment, path planning and driving systems. The selection

Objective/Contributions: Fin-and-tube heat exchangers are commonly used heat exchangers for thermal energy conversion with a wide range of applications such as air conditioning, refrigeration, automotive industry, electronic devices, and the like. The demand for more efficient cooling and heating by more compact heat exchangers leads to tremendous research on this subject. This project aims to

Objective/Contributions: The issue of sustainable development is a global one. As a result, green innovation has emerged as a critical avenue to resolving environmental issues, gaining a competitive edge, achieving carbon neutrality, and further promoting sustainable development. One of the biggest sustainable development initiatives is the United Nations’ Sustainable Development Goals (SDG). The

Objective/Contributions: Prolonged daily periods of road traffic congestion waste time, and money, and degrade both the environment and our quality of life. In Egypt, the problem is significant with severe traffic delays and high accident rates leading to devastating effects on economic growth and challenging any progression towards sustainable development. Conventional traffic management

Objective/Contributions: The subsidy is a strategic service in Emerging countries like Egypt; it makes available essential items to poor people at discounted prices, as they are unable to purchase such items or services at their market price. The subsidy is always a hot topic that floats every year with the preparation of any annual government budget in Egypt. Subsidy remains a major burden for

Objective/Contributions: Smart agricultural clinic (SAC) aims to: 1) Provide an integrated end-to-end digital system to effectively deliver personalized agriculture extension and veterinary services, including best cultivation, fertilization and breeding practices, to farmers and animal producers through the use of mobile/handheld devices. 2) Use advanced computer vision and deep learning

Objective/Contributions: One of the main challenges of early detection of key rice blast disease is that it can be misclassified as the brown spot disease by less experienced agriculture extension officers (as both are fungal diseases and have similar appearances in their early stages) which can lead to wrong treatment. Given the current scarcity of experienced extension officers in the country

Few diseases affect human life and personal destinies more than the loss of the ability to see. In adults, visual impairment is associated with a loss of personal independence inducing large personal and societal costs. According to the World Health Organization, 39 million people are legally blind. In Egypt, there are almost 1 million individuals (~1% of the population) with sight loss. The

Objective/Contributions: 16S microbial profiling came with its own challenges, particularly on the data analysis and interpretation part. This requires specialized bioinformatics solutions at different stages during the processing pipeline, such as assembly of paired-end reads, chimera removal, correction of sequencing errors, and clustering of those sequences into Operational Taxonomic Units