Dr. Ghamari is a Ph.D. candidate in Electrical Engineering at Edith Cowan University (ECU), Australia, where she is pursuing research on “Strengthening the Sustainability of E-Transportation Through Robust Adaptive DC Technology for Improved Charging and Dynamic Performance of Electric Vehicles.” His research focuses on advanced control system design for power converters, with particular emphasis on Dual Active Bridge (DAB) converters and Brushless DC (BLDC) motor systems. She has developed several innovative control strategies, including fractional-order controllers, robust adaptive controllers, and reinforcement learning–based approaches, many of which have been validated experimentally using Hardware-in-the-Loop (HIL) and Control-in-the-Loop (CIL) setups on the Typhoon HIL 404 and 606 platforms. He holds a Master of Engineering in Control from Shahrood University of Technology. Her main research interests include nonlinear controller design, renewable energy integration, hardware-in-the-loop validation, and the application of artificial intelligence and optimization algorithms (such as Snake Optimization, Deep Reinforcement Learning, and Transfer Learning) to power electronics and electric vehicle systems. She has authored more than 20 ISI-indexed journal and conference papers and is a Member of IEEE. Her contributions span robust adaptive control, fra