معرفی
Dr. Mahmood Safaei is an Assistant Professor of Instruction in the Department of Computer Information Systems at The University of Akron's College of Engineering and Polymer Science. His research focuses on wireless communication systems, machine learning applications, and sensor network technologies. He has contributed to advancements in antenna design, obesity evaluation through hybrid MCDM methods, and remote sensing image classification using deep learning algorithms.
His work spans diverse domains including metamaterials, acoustic signal processing for industrial supervision, and anomaly detection in wireless networks. Notable projects include reconfigurable intelligent surfaces for 5G/6G networks and the development of SmartSim, a simulation tool for TinyOS-based systems. His academic contributions bridge theoretical research with practical applications in healthcare, telecommunications, and manufacturing.
Dr. Safaei's publications highlight interdisciplinary approaches, combining engineering principles with data science techniques to address challenges in modern communication systems and healthcare technology adoption.
