Reza's research interest in electrical and computer engineering focuses on power systems and power electronics, particularly novel solutions for power system integration, renewable energy systems, power quality improvement, power converter design, and the analysis of nonlinear, multi-physic-multi-scale dynamical systems. His objective is to develop efficient energy conversion systems by integrating renewable energy resources into the grid and analyzing the dynamic behavior of power electronics-based systems, using techniques such as convolution-based system identification and non-Bayesian unsupervised machine learning. Reza aims to ensure power quality and stability for safe and reliable operations, addressing critical challenges in renewable energy integration, power quality improvement, and system stability to contribute to sustainable and efficient energy systems that reduce carbon emissions and enhance grid resiliency. Additionally, he focuses on developing non-Euclidean measurement tools for power system analysis and improving renewable resources to benefit underserved communities.