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Research Project

Research Project

Terahertz Metamaterial Structures for Biomedical Sensing Applications

A new design of interdigitated E-shaped metamaterial sensor has been proposed. The structure has been intensively studied using CST software and is optimized to achieve ultrahigh sensitivity at the Terahertz range. Two different structures of the E-shaped sensors have been proposed. Both structures are characterized by a high absorption level at their resonant peaks with an ultra-high sensitivity
Research Project

Improving Job Market Skills of Graduates

In Egypt and its neighbouring countries, a mismatch between educational output and training requirements of the labour market has been a significant constraint on economic development. Pre-employment skills are essential to prepare newly graduated students for the job market in the industry as well as academia. AGYA members Dr. Lobna Said, Dr. Mohamed Abou El-Enein, Dr. Shadi Albarqouni and Dr
Research Project

Making Graduates in Egypt, Libya and Palestine Ready for the Job Market

Objectives/Contributions: Many Arab countries have to deal with discrepancies between the educational output and the actual needs of their labour markets. Introducing capacity-building trainings for new graduates is an optimal approach to bridge this gap, improve their skills and increase their marketability for industry or academia, which is the aim of the project by the AGYA Working Group Arab
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Research Project

Plasmonic Sensors for Biomedical and Infra-Red Detection Application

Objective/Contributions: The project aims at proposing a new Infra-Red sensor design by employing a plasmonic effect. Plasmonic devices have great potential for biomedical applications due to the sensitivity of the localized surface plasmon resonance to the surrounding medium. Therefore, proposed metasurface sensors are tuned for Biomedical applications as medical diagnostic tools. Enhancing
Research Project

Multi-purposes Reading IoT-based Smart Platform

Objectives/Contributions: The project aims to introduce a solution for a multi-protocol environment. The proposed device that represents the ultimate goal of the project will act as an interpreter between different communication media, representing the project’s main deliverable. Furthermore, we propose to have a smart device to estimate the channel performance and decide the optimum communication
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Research Project

Low-Power Artificial Intelligence Framework for Internet of Things Applications

The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI). Due to the massive scalability of modern IoT networks and increased data privacy, traditional AI algorithms require centralized data collecting and processing, which may not be practical in real-world application
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Research Project

Pre-emergency Alert IoT System-based on Wearable Devices for Diabetic Patient

According to World Health Organization (WHO), there are more than 400 million diabetic adults worldwide. In Egypt, only there are about 8 million diabetic people, and the diabetes prevalence rate is estimated to be 13.3% by 2025, according to WHO. In most cases, the diabetic person requires regular visits to the hospital for health checks. However, due to the COVID pandemic, it has become risky
Research Project

Multi-stage Low-cost Treatment of Dyes and Paints Wastewater by Coagulation, Adsorption, and Filtration for Reuse in Several Application

Objective/Contributions: Designing and constructing a low-cost, efficient, rapid environmentally friendly treatment system for textile and paint industries' recycling and treatment. Conducting a comprehensive literature database of all the reuse and treatment methods, in paints wastewater treatment and all the pilot plants, and treatment plants used success stories that successfully reduce the
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Research Project

An Underwater AR based System for Marine Life Detection and Classification for Divers and Tourists

Objective/Contributions: Collecting and annotating an extensive dataset of fish images representing the fish species in the red sea. Building a machine learning model capable of detecting and classifying fish species from a real-time video. Building a proof-of-concept prototype for the AR hardware that is capable of capturing the live video of marine life, running the classification model, and