I earned my PhD in Computer Engineering from Northeastern University in April 2024. My research focused on developing advanced algorithms by integrating classical planning/control methods with machine learning techniques for applications in robotics. I developed algorithms to improve the computational efficiency and robustness of motion generation and planning for time-dependent tasks in dynamic environments. My work has been tested and applied to various robotic systems, both in physics-based simulations and actual setups, including wheel-driven mobile robots, unmanned aerial vehicles, and mobile manipulators. In addition to my solid theoretical background in robotics, control theory, computer vision, optimization, and machine learning, I have held software engineering roles in industry. These roles allowed me to apply my skills in real-world projects and contribute to impactful, practical applications.