Teaching & Activities

Leading the robotics team in hardware and software integration projects. Coordinating junior researchers, managing project timelines, and overseeing development of autonomous systems ranging from mobile robots to robotic arm controllers. Responsible for knowledge transfer sessions within the team.

Guiding undergraduate students in their first steps in machine learning, ROS2, and embedded systems. Conducting hands-on workshops on topics such as PID control, reinforcement learning fundamentals, and sensor integration for robotics.

Delivered a two-day hands-on workshop covering ROS2 fundamentals: nodes, topics, services, and action servers. Participants built a basic autonomous navigation stack using simulated mobile robots in Gazebo.

Organized a weekly study group focused on applying ML methods to engineering problems — covering supervised learning, neural networks, and explainable AI (SHAP, DALEX). Grounded theory in practical Python implementations.

Facilitated a compact bootcamp on STM32 microcontrollers, hardware-in-the-loop simulation, and PID controller design using MATLAB/Simulink with Embedded Coder code generation.

Presented research on neural network-based inverse kinematics for SCARA robot arms. Engaged with an international audience of engineers and researchers, discussing the intersection of AI and industrial robotics.

Presented findings on trajectory planning parameter analysis using Explainable AI methods, with a focus on SHAP-based feature importance for RandomForest models applied to industrial robot arms.

Presented work on PID-based torque control of a 2-DOF polar robot arm, demonstrating improvements in precision and reference tracking speed over conventional methods.