Elham Kowsari

Elham Kowsari is a Postdoctoral Researcher specializing in Automation Technology and Mechanical Engineering. Her research focuses on advanced control systems, particularly in forestry machinery automation and sway motion reduction in cranes. She explores nonlinear control strategies for DC microgrids and develops fault detection algorithms for electrical systems, including induction motors and continuous stirred-tank reactors. Her work integrates techniques like Kalman filtering, Gaussian processes, and model predictive control to address real-world engineering challenges.

Key research areas include:

• Motion control and vibration suppression in forestry cranes
• Stabilization of DC microgrids with complex loads
• Fault diagnosis in electrical and mechanical systems

Elham has collaborated internationally on sensor calibration (Star Tracker-Fiber Optic Gyroscope integration) and nonlinear system analysis. Her 12 peer-reviewed articles since 2014 demonstrate expertise in both theoretical control methodologies and practical industrial applications.