Hamed Ghane
Control Systems Engineer (PhD)
Model-based control development and real-time, closed-loop systems (Python/MATLAB/Simulink), with validation-driven engineering across complex sensor-driven platforms
Control Systems Engineer (PhD)
Model-based control development and real-time, closed-loop systems (Python/MATLAB/Simulink), with validation-driven engineering across complex sensor-driven platforms
Every project, every thesis, every industry application, all rooted in control systems engineering principles
From control engineering foundations to real-time, closed-loop BCI systems
Every domain I've worked in, from power electronics to satellite control to chemical processes, was fundamentally about control systems engineering. Now, I'm applying those same principles to the most complex control system of all: the human brain.
Real-time closed-loop BCI is control engineering applied to neural systems— combining signal processing, state estimation, feedback control, and hardware synchronization to create seamless human-machine interfaces.
I'm a control systems engineer with a control-engineering foundation, building model-based, real-time closed-loop systems and validation pipelines in Python, MATLAB, and Simulink.
In recent years I've applied the same engineering approach in neurotechnology, developing low-latency pipelines for EEG/EMG/ECG and closed-loop experiments.