Maryam Moshrefizadeh
Papers
1
Total Citations
6
H-Index
1
About
Maryam Moshrefizadeh is a pioneering researcher at the intersection of computer vision, robotics, and space engineering, with a primary focus on advancing perception systems for autonomous satellite operations. Her most notable contribution is the development of EvSat3D, a groundbreaking framework that leverages event cameras for satellite pose estimation and 3D reconstruction. This work, published in 2025 and already garnering 6 citations, addresses a critical challenge in space rendezvous missions: the limitations of traditional frame-based cameras in the harsh space environment. By harnessing the high temporal resolution and low-latency capabilities of event-based vision, Moshrefizadeh's research enables more robust and accurate tracking of non-cooperative objects, including space debris and defunct satellites. Her work has significant implications for on-orbit servicing, debris removal, and autonomous navigation in space. Moshrefizadeh's innovative approach to combining event cameras with deep learning for 3D reconstruction represents a paradigm shift in space-based perception, offering a promising solution to one of the most pressing challenges in modern space operations. Her contributions are poised to influence both academic research and practical applications in the rapidly growing field of autonomous space robotics.
Research Focus
Key Achievements
Top Papers
- 1