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Melissa Greeff is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen's University and a faculty affiliate of the Vector Institute for Artificial Intelligence. Her research focuses on field robotics, with particular interest in aerial robots and vision-based control systems. She specializes in safe learning-based control and multi-robot systems. She received her Bachelor of Applied Science in Engineering Science and her PhD from the University of Toronto. Melissa's work often involves innovative research projects aimed at enhancing robotic systems' effectiveness and safety. Her contributions to the field are reflected in various publications, including those in IEEE Robotics Automation Letters and Annual Review of Control, Robotics, and Autonomous Systems. She actively participates in conferences, sharing her findings on learning stability filters and model predictive control for unmanned aerial vehicles. Through her lab, Robora, she collaborates on projects exploring cutting-edge applications of robotics in real-world environments.
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