Amir Abolmasoumi
Research Fellow @ Winston Chung Global Energy Center
About
I am a researcher, engineer, and lecturer specializing in dynamic state estimation, modeling, and control of power system dynamics, including grid-following and grid-forming inverter-based resources, voltage and frequency control in the presence of renewable energies, and general data-driven modeling. I currently serve as a Senior Researcher and Lecturer at École Centrale de Nantes, focusing on renewable energy integration, state estimation, and control. Additionally, I am an Associate Professor of Control Engineering at Arak University, where I teach and lead research on power systems, control systems, and dynamic modeling. With extensive experience in academia and industry, I have led research initiatives, contributed to major industrial and academic projects, and supervised PhD students. My work includes significant contributions to international projects, effectively bridging advanced control strategies with practical applications to advance innovation in power systems and renewable energy.
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United States
Utilities
Machine Learning and Python, Machine Learning, Python (Programming Language), Modal Analysis, Vibration Control, Nonlinear Control, Simulink, MATLAB, Data-driven Control, Renewable Energy, Power Converters, Optimal Control Design, Robust Control, Dynamic Modeling, Electrical Engineering, State Estimation, Control Systems Design, Teaching, Model Identification based on data, Control of power electronics converters
Experience

Visiting Researcher
North, Virginia, United States
- Robust State Estimation of Dynamic Systems: Gene Regulatory Networks and Power Systems - Robust Data-Driven Modeling and Control of Complex Dynamical Systems - Koopman Operator Theory and its Applications in Power System Modeling, State Estimation and Control
Amir Abolmasoumi's Contact Information
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