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

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

The ultimate goal of this project is to achieve diagnosis on the fly and predict abnormal health conditions and alert people before the condition happens. In order to achieve this, the following objectives should be fulfilled: Implementing wearable self-powered painless devices for healthcare monitoring. Implementing AI algorithm for predicting abnormal health conditions. Implementing painless

Objective/Contributions: Investigation and categorization of the different methodologies in fractional operator discretization. Investigate the effect of the number of memory samples on the performance of different discretization schemes and recommend the scheme which gives the best performance for the least number of memory samples. Discuss the stability analysis of the discretized operators and

Objective/ Contributions: A first prototype of a glucose device that can be connected to the 4G network. Computer-based software for monitoring the patient’s condition and alerting the system in case of emergency. The correlation between sensor impedance and its sensitivity and developing an auto-calibration based on that. Design and implementation of impedance spectroscopy for the sensor

This project's aim is to develop a working flow providing a better and an efficient way for implementing Machine Learning algorithms having a balance between high performance and low power consumption. Objective/Contributions: Software Implementation of Machine Learning Algorithms Hardware Implementation of Machine Learning Algorithms Efficient Power Consumption Reconfigurable Design of ML FPGA IP

Objective/Contributions: Surveying research papers about transferring hard robot characteristics to soft one. Use additive manufacturing techniques to minimize the assembly process of the ROV actuator. Work on soft control and soft sensing system and study its ability to be used in soft robotics. Discuss biomimicking ROV. Create a hub for soft robotics at Nile University for participating in Egypt

Objective: This project aims to study the relation between the mathematical fundamentals of fractional calculus and the concept of two-port circuit networks in the design of oscillators and filters with their analyses. These concepts will be applied to the Cole-Cole model, suitable for agriculture and biomedical applications tissue modelling. Outcomes: Literature Surveys (2 Journals + 2 Chapters)

Nowadays, the demand for building CNTFET-based ternary systems has been increasing. The current two-level binary logic and MOSFET technology have been facing limitations in chip size, design complexity, and power consumption. In this proposal, the method to design Ternary logic gates based on CNTFET and Memristor is proposed. Implementing Ternary Full-Adders and Multipliers is also discussed in