Ph.D. in Electrical and Electronics Engineering
Thesis Title: Data-Driven Predictive Control of Dynamic Legged Locomotion: Application to a Torque-Actuated Spring-Mass Runner.
Ph.D. candidate in Electrical and Electronics Engineering specializing in nonlinear control, legged locomotion, and learning-based robotics. My work bridges model-predictive and data-driven approaches for robust locomotion, with additional interests in perception, sensor fusion, and intelligent systems.
Thesis Title: Data-Driven Predictive Control of Dynamic Legged Locomotion: Application to a Torque-Actuated Spring-Mass Runner.
Thesis Title: Neural Network-Based Estimator and Controller for SLIP and TD-SLIP Monopod Robots.
Programming & Computing: Python (NumPy, PyTorch, TensorFlow), C++, C#, Java.
Robotics & Control: Python (MuJoCo, Drake), MATLAB/Simulink (Control, Deep Learning, Robotics TB).
Embedded & HDL: C, Assembly, ARM, AVR, VHDL, XILINX Vivado, Altium, LT Spice.
Design & DB: SolidWorks, Adobe Illustrator/Photoshop, LATEX, MySQL, WordPress, HTML, CSS.