Alexandros Sakkas was born in Ioannina, Greece in 1994. He received his B.Sc. degree in Physics in 2017 and his M.Sc. in “Modern Electronic Technologies” in 2020, both from the Physics Department of the University of Ioannina. In 2024, he completed his Ph.D. in Electronic Technologies at the same institution. His doctoral research focused on the development of a remote sensing system for estimating precipitation rates using microwave signal attenuation. The project combined reconfigurable antenna design, RF circuit development, embedded system programming, and machine learning-based data analysis. His main research interests include radio frequency signal attenuation, remote sensing, and embedded data acquisition systems. He has hands-on experience with a wide range of lab instrumentation and simulation environments, such as spectrum analyzers, VNAs, CST Studio Suite, LabVIEW, and NI Multisim. He is proficient in multiple programming languages, including Python, MATLAB, C/C++, Kotlin, and web development technologies. He has contributed to seven peer-reviewed publications in international scientific journals.