Michael Moheb Youssef Rizk Riad
Teacher Assistant at Electronics Engineering and Electrical Communications
Career Information
Teacher Assistant at : 2021-09-01
Demonstrator at : 2020-04-21
Academic Information
Email : michael.riad@eng.asu.edu.eg
Graduation :
2018
From
Faculty of Engineering ,
Ain Shams University
Publications
- Michael M. Y. R. Riad, A. R. Eldamak, " Coplanar Waveguide Based Sensor Using Paper Superstrate for Non-Invasive Sweat Monitoring ", IEEE Access, 2020
- Michael M.Y.R. Riad, Mariam A. Ateyya, Angie R. Eldamak, Amr M. E. Safwat, " Highly Sensitive Bi-Transmission Line-based Sensors for Liquid Characterization ", 2023 International Microwave and Antenna Symposium (IMAS), 2023
- Michael M.Y.R. Riad, " A Methodology for UAV Classification using Machine Learning and Full-Wave Electromagnetic Simulations ", 2022 International Telecommunications Conference (ITC-Egypt), 2022
- Ahmed N. Sayed, Michael M.Y.R. Riad, Omar M. Ramahi, George Shaker, " UAV Classification using Neural Networks and CAD-generated Radar Datasets ", , 2022
- , " AI-Powered In-Vehicle Passenger Monitoring Using Low-Cost mm-Wave Radar ", IEEE Access, 2021
- , " Low-Cost Wi-Fi-based System Using Passive Microwave Sensors for Liquid Characterization ", 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2021
- Kholeif, H.H., Sabry, Y.M., Rizk, M.M.Y.R., Khalil, D.A.M., " Simple and low-cost method for particulate matter size determination based on far-field interference pattern image processing ", Proceedings of SPIE - The International Society for Optical Engineering, 2020
- Riad, M.M.Y.R., Sabry, Y.M., Khalil, D., " On the Detection of Volatile Organic Compounds (VOCs) Using Machine Learning and FTIR Spectroscopy for Air Quality Monitoring ", National Radio Science Conference, NRSC, Proceedings, 2019