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About

Dr. Moriba Jah is a leading figure in astrodynamics and space situational awareness, whose work is critical to understanding and preserving the orbital environment. His research focuses on spacecraft navigation, space debris tracking, and the development of autonomous systems for space traffic management. A major contribution is his pioneering work on system identification for spacecraft, where he developed methods to determine actuator alignment through null-motion excitation, a technique that improves spacecraft control without disrupting operations. He is also a visionary behind the "Thinking Telescopes" concept, which aims to create a global, autonomous network for real-time sky surveillance and anomaly detection. Dr. Jah’s impact is further demonstrated through his leadership of the ASTRIANet telescope network and the creation of the Python Computational Inference from Structure (PyCIS) data set, which provides annotated image data to train machine learning models for space object characterization. With over 100 publications and thousands of citations, he is a recipient of numerous awards, including the Air Force Office of Scientific Research Young Investigator Award, and is a passionate advocate for space environmentalism and the sustainable use of outer space.