Personal information

Canada, Egypt

Activities

Employment (2)

Ain Shams University Faculty of Engineering: Cairo, Cairo Governate, EG

2020-04 to present | Teaching Assistant (Electrical and Electrical communication engineering)
Employment
Source: Self-asserted source
Michael M.Y.R. Riad

Mentor Graphics Egypt: Heliopolis, Cairo, EG

2019-07 to 2021-07 | Course Developer and Trainer - Analog Simulation (LSS/GSS)
Employment
Source: Self-asserted source
Michael M.Y.R. Riad

Education and qualifications (3)

University of Waterloo: Waterloo, ON, CA

2021-09 to 2025-08 | PhD in Electrical and Computer Engineering (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Michael M.Y.R. Riad

Ain Shams University: Cairo, Cairo Governate, EG

2018-09 to 2021-06 | MSc in Electrical Engineering (Electrical and Electrical communication engineering)
Education
Source: Self-asserted source
Michael M.Y.R. Riad

Ain Shams University Faculty of Engineering: Cairo, Cairo Governate, EG

2013-09 to 2018-07 | BSc in Electrical Engineering (Communication Systems - Credit hours engineering program)
Education
Source: Self-asserted source
Michael M.Y.R. Riad

Professional activities (1)

IEEE: New York, NY, US

2020 to present | Graduate Student Member
Membership
Source: Self-asserted source
Michael M.Y.R. Riad

Works (9)

Unmanned Aerial Vehicle Classification Using Neural Neworks and Radar Digital Twins: UAV Classification Using Neural Networks and Radar Digital Twins

IEEE Microwave Magazine
2024-11 | Journal article
Contributors: Ahmed N. Sayed; Michael M. Y. R. Riad; Ahmad Ansariyan; Laila Salman; Omar M. Ramahi; George Shaker
Source: check_circle
Crossref

Highly Sensitive Bi-Transmission Line-based Sensors for Liquid Characterization

2023 International Microwave and Antenna Symposium (IMAS)
2023-02-07 | Conference paper
Contributors: Michael M.Y.R. Riad; Mariam A. Ateyya; Angie R. Eldamak; Amr M. E. Safwat
Source: Self-asserted source
Michael M.Y.R. Riad

A Methodology for UAV Classification using Machine Learning and Full-Wave Electromagnetic Simulations

2022 International Telecommunications Conference (ITC-Egypt)
2022-07-26 | Conference paper
Contributors: Michael M.Y.R. Riad
Source: Self-asserted source
Michael M.Y.R. Riad

UAV Classification using Neural Networks and CAD-generated Radar Datasets

2022-06-21 | Preprint
Contributors: Ahmed N. Sayed; Michael M.Y.R. Riad; Omar M. Ramahi; George Shaker
Source: check_circle
Crossref

AI-Powered In-Vehicle Passenger Monitoring Using Low-Cost mm-Wave Radar

IEEE Access
2021-12-30 | Journal article
Part of ISSN: 2169-3536
Source: Self-asserted source
Michael M.Y.R. Riad

Low-Cost Wi-Fi-based System Using Passive Microwave Sensors for Liquid Characterization

2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS)
2021-11-28 | Conference paper
Source: Self-asserted source
Michael M.Y.R. Riad

Coplanar Waveguide Based Sensor Using Paper Superstrate for Non-Invasive Sweat Monitoring

IEEE Access
2020 | Journal article
Part of ISSN: 2169-3536
Source: Self-asserted source
Michael M.Y.R. Riad
grade
Preferred source (of 2)‎

Simple and low-cost method for particulate matter size determination based on far-field interference pattern image processing

Unconventional Optical Imaging II
2020-03-30 | Conference paper
Source: Self-asserted source
Michael M.Y.R. Riad

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 | Conference paper
EID:

2-s2.0-85068092954

Contributors: Riad, M.M.Y.R.; Sabry, Y.M.; Khalil, D.
Source: Self-asserted source
Michael M.Y.R. Riad via Scopus - Elsevier