Teaching
My teaching focuses on control, robotics, and intelligent systems, with an emphasis on hands-on learning, project-based assignments, and connecting theory to real robotic systems.
Texas State University
Control Systems ME 4351
Modeling of dynamic systems, feedback control, stability analysis, and controller design.
Lawrence Technological University
Unified Robotics III
Engineering dynamics, digital twins, and programmable logic controllers for robotic systems.
Unified Robotics IV
Introduction to machine learning for robotics, autonomy, and intelligent decision-making.
Mechatronics
Integration of sensors, actuators, electronics, and embedded control in electromechanical systems.
Brain-Computer Interfaces
Neural signal acquisition and processing to enable direct communication and control between the brain and external systems.
Artificial Intelligence
Core AI concepts with applications to robotics and intelligent systems.
Statics
Forces, equilibrium, and structural analysis for engineering system design.
The University of Alabama
Basics of Robotics
Programmable Logic Controllers
Engineering Analysis
Teaching interests
Control Systems, Mechatronics, Robotics, Human-Robot Interaction, Machine Learning, Brain-Computer Interfaces
Teaching approach
I aim to create an inclusive, supportive classroom where students build both conceptual understanding and practical skills. I use applied examples, structured milestones, and team projects to help students develop confidence in designing, implementing, and evaluating robotic systems.
Recognized with the Outstanding Teaching Award, Department of Mechanical Engineering, The University of Alabama (2022).