Projects

Developed machine learning and control algorithms for human intention detection and prosthesis control with validation using VR and robotic prototypes.

Develop novel wearable sensor systems enabling accurate human intention detection (e.g., hand gesture recognition), and allowing seamless interaction.

Developed human-state prediction models for VR training that supports effective human–autonomy collaboration.

Developed pneumatic-based mechatronic systems, including a pneumatic engine test rig and industrial assembly system.

Tutor and mentor in Robotics subjects, teaching robot kinematics, dynamics, control systems, and hands-on design & prototyping.