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About

Mohammadreza Mousaei is a leading researcher in aerial robotics, specializing in fault detection, visual servoing, and aerial manipulation using unmanned aerial vehicles (UAVs). His seminal work, "ALFA: A dataset for UAV fault and anomaly detection" (2020, 123 citations), provides a critical resource for fault detection and isolation (FDI) research, featuring 47 autonomous flights with sudden engine failures—a foundational contribution to UAV safety and reliability. Mousaei advanced aerial manipulation with "Image-Based Visual Servo Control for Aerial Manipulation Using a Fully-Actuated UAV" (2023, 20 citations), enabling precise, GPS-independent control for high-altitude tasks, reducing human risk. His recent "Flying Hand: End-Effector-Centric Framework for Versatile Aerial Manipulation Teleoperation and Policy Learning" (2025, 6 citations) introduces a task-agnostic framework that decouples hardware design from specific applications, paving the way for adaptable policy learning. Beyond UAVs, Mousaei contributed to nuclear decommissioning with a robot for nondestructive assay of holdup deposits in gaseous diffusion piping (2019), and explored deformable linear object detection and interaction (2022). His work bridges robust perception, autonomous control, and real-world deployment, with over 155 total citations, marking him as a pivotal innovator in aerial robotics and safety-critical systems.