Rate My Professor Sonam Peden

Peden coordinates several key undergraduate units, including Sensors and Signal Processing (PHYS213), Digital Electronic Systems (PHYS511), and Applied Photonics (PHYS313). These courses equip students with specialized cognitive and technical skills in areas such as signal analysis, digital circuit design, geometric optics, and photonics principles. Her teaching emphasizes practical applications, including data analysis from field experiments and modeling using tools like MATLAB in the context of wireless communication technologies. In research, Peden focuses on RF propagation through vegetation, particularly for precision agriculture. She developed models for RF loss in tree canopies and a two-point iteration method to predict canopy water content from RF measurements. Key publications include 'A two-point iteration method to predict canopy water content from RF loss' (Smart Agricultural Technology, 2021), 'Prediction of Water Content of Eucalyptus Leaves Using 2.4 GHz Radio Wave' (2021), 'A Model for RF Loss through Vegetation with Varying Water Content' (2021), and 'Computational analysis of light metal decorated C3N2 monolayers for efficient hydrogen storage' (co-authored, recent). Her contributions appear in journals like Smart Agricultural Technology and Open Journal of Applied Sciences, with datasets from her PhD research made publicly available. Peden's work bridges electronics, environmental monitoring, and sustainable technologies, supporting innovations in smart farming and energy storage.