Computational and Analytical Skills
- Programming Languages: Python, MATLAB
- Data Analysis: data processing, signal processing, statistical analysis and visualization
- Machine Learning: MLPs, RBF Networks, Wavenets
- Classification: logistic regression, SVM, KNN, ...
Control and System Identification Methods
- Adaptive, closed-loop, predictive and nonlinear control
- Subsapace identification
Computational Neuroscience
- Basal Ganglia Modeling
- Modeling of Deep Brain Stimulation
Robotics and Embedded Control Systems
- Design and simulation of adaptive backstepping control strategy for RLED robots
- Implementation of bidirectional control for two joysticks
- Control of dual haptic joysticks for video gaming
- Developed embedded control systems using Raspberry Pi, and Moteus motor drivers
- Built and tested control circuits on breadboards
