M. A. Majid

M.A. Majid received the MSc degree in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2002. In 2011, he was awarded his PhD degree in Electronic and Electrical Engineering from the University of Sheffield in the UK. He was an EPSRC Prize Postdoctoral Fellow at The University of Sheffield for one year (2011–2012). From 2012 to 2015, he continued as a postdoctoral fellow in the electrical engineering program at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Currently, he is an Assistant Professor in the Electrical and Computer Engineering Department, Effat University, where he is engaged in applying III/V semiconductor quantum dot/quantum well devices to applications such as Renewable energy, Biomedical imaging, Optical communications, and solid-state lighting.

Publications

Energy-Efficient and High-Performance IoT-Based WSN Architecture for Precision Agriculture Monitoring Using Machine Learning Techniques
Energy-Efficient and High-Performance IoT-Based WSN Architecture for Precision Agriculture Monitoring Using Machine Learning Techniques
Charles Rajesh Kumar J., M. A. Majid. © 2023. 25 pages.
Traditional irrigation systems for agricultural lands are expensive, time-consuming, and labor-intensive. Utilizing cutting-edge technology like machine learning, the internet of...
Energy-Efficient IoT-Based Wireless Sensor Network Framework for Detecting Symptomatic and Asymptomatic COVID-19 Patients Using a Fuzzy Logic Approach
Energy-Efficient IoT-Based Wireless Sensor Network Framework for Detecting Symptomatic and Asymptomatic COVID-19 Patients Using a Fuzzy Logic Approach
Charles Rajesh Kumar J., Mary Arunsi B., M. A. Majid. © 2023. 27 pages.
Internet of things enabled wireless sensor networks using fuzzy logic approach is used to collect health metrics of individuals, make real-time analyses, and make efficient...