Melissa Greeff

Melissa Greeff is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen's University. She is a faculty affiliate with the Vector Institute for Artificial Intelligence and works with the Robora Lab, focusing on robotics and control systems.

• Research Interests: Aerial robots, vision-based navigation, safe learning-based control systems.
• Education: BASc in Engineering Science, PhD from the University of Toronto.

Research Focus: Her work integrates robotics, control theory, and machine learning to enable safe, efficient UAV operations in complex environments, including maritime applications and GPS-denied navigation. Key methodologies involve differential flatness and model predictive control (MPC) enhanced by learning-based approaches.

Publications: Recent articles emphasize vision-based navigation, multirotor control under disturbances, and benchmarking safe learning systems. Topics span UAVs in infrastructure assessment, cooperative control, and embedded predictive control solutions.

Labs & Teams: Collaborates with the Robora Lab and Ingenuity Labs Research Institute on robotics and AI research.