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PhD in Artificial Intelligence and Machine Learning

• Dissertation: Development and Research of Adaptive Planning Algorithms and Methods for Autonomous Vehicle Maneuvers.
• Specialization in behavior planning, task-and-motion planning, and multi-agent trajectory prediction.

M.Sc. in Mechatronics and Robotic Systems

• Thesis: Convolutional Neural Networks for Manipulator Control and Object Grasping.

B.Sc. in Mechatronics, Robotics, and Automation Engineering

Behavior Planning Engineer for Autonomous Systems

• Developed and deployed heuristic-based planning and scheduling algorithms for outdoor autonomous cleaning robots and autonomous vehicles, integrating advanced decision-making into the robot control stack and the Apollo stack.
• Validated performance on real vehicles and robots as well as high-fidelity simulators (CARLA, LG SVL).
• Led large-scale scenario design and failure analysis across urban, highway, parking, and cleaning operations.

Doctoral Candidate Research Assistant

• Conducted doctoral research on autonomous driving systems, specializing in the Apollo architecture, simulation environments, and HD mapping tools.
• Developed and integrated learning-based behavior tree and reinforcement learning algorithms for adaptive overtaking and parking.