Reza’s research in electrical and computer engineering focuses on power systems and power electronics, with a particular emphasis on novel solutions for power system integration, renewable energy systems, power quality enhancement, and power converter design. His work explores the nonlinear, multi-physics, and multi-scale dynamics of power electronic systems, aiming to develop highly efficient energy conversion frameworks.
A core aspect of his research is the integration of renewable energy resources into the grid while ensuring stability and power quality. To achieve this, he leverages advanced analytical techniques, including convolution-based system identification and non-Bayesian unsupervised machine learning, to model and optimize dynamic behaviors in complex power systems. His work directly addresses key challenges in renewable energy integration, improving grid resiliency, and reducing carbon emissions.
Additionally, Reza is developing non-Euclidean measurement tools for power system analysis, providing new perspectives on system stability and control. His research also focuses on advancing renewable technologies to benefit underserved communities, ensuring equitable access to sustainable energy solutions.
RESIL
Renewable Energy System Integration Lab.
RESIL aims to develop and optimize integrated renewable energy systems, focusing on grid stability, advanced energy storage solutions, and hybrid energy technologies to enhance overall energy efficiency and reliability.
π-Lab.
Paramorphic Intelligent Lab.
π-Lab is dedicated to pioneering AI and machine learning research, focusing on hybrid systems optimization, predictive maintenance, and smart grid analytics to drive operational excellence.
QuEST
Quantum-inspired Energy Solutions and Technologies
QuEST Lab seeks to leverage quantum technologies to revolutionize energy solutions, exploring quantum computing for optimization, quantum sensors for advanced monitoring, and quantum algorithms for enhancing renewable energy systems.