University of Texas at Austin
Moriba Jah




phone 512-471-0717

office POB 3.446

admin Lisa A. Gentry

Moriba Jah

Core Faculty GSC Faculty

Mrs. Pearlie Dashiell Henderson Centennial Fellowship in Engineering

Lead Computational Astronautical Sciences and Technologies

Associate Professor Aerospace Engineering & Engineering Mechanics

Centers and Groups

Research Interests

Computational Astronautics Data Science


Moriba Jah is an Associate Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin where he is the holder of the Mrs. Pearlie Dashiell Henderson Centennial Fellowship in Engineering. He’s the director for Computational Astronautical Sciences and Technologies (CAST), a group within the Oden Institute for Computational Engineering and Sciences, as well as the Lead for the Space Security and Safety Program at the Robert Strauss Center for International Security and Law. Moriba came to UT Austin by way of the Air Force Research Laboratory and NASA’s Jet Propulsion Laboratory prior to that, where he was a Spacecraft Navigator on a handful of Mars missions. Moriba is a Fellow of multiple organizations: TED, American Institute of Aeronautics and Astronautics (AIAA), American Astronautical Society (AAS), International Association for the Advancement of Space Safety (IAASS), Royal Astronomical Society (RAS), and the Air Force Research Laboratory (AFRL). He has served on the US delegation to the United Nations Committee on Peaceful Uses of Outer Space (UN-COPUOS), is an elected Academician of the International Academy of Astronautics (IAA), and has testified to Congress on his work as related to Space Situational Awareness and Space Traffic Management. He’s an Associate Editor of the Elsevier Advances in Space Research journal, and serves on multiple committees: IAA Space Debris, AIAA Astrodynamics, IAF Astrodynamics, and IAF Space Security.

The current areas of research of the CAST group are:
• Non-gravitational Astrodynamics
• Multi-body and Multi-Fidelity Uncertain Orbital DynamicalSystems Modeling
• Multi-source Information Fusion (including Hard [Physics-based] and Soft [Human-based] Inputs)
• Multi-sensor/target Tracking
• Machine/Deep Learning and clustering techniques
• Artificial Intelligence
• Semantic Reasoning and Natural Language Processing (NLP)
•Uncertainty Quantification, Assessment, and Prediction
• Low Signal-to-Noise Detection and Discovery
• Space Object and Event Taxonomies and Classification
• “Biometric” Methods for Unique Resident Space Object Identification and Characterization
• Spacecraft Guidance, Navigation, and Control (Autonomous and Ground Based)
• Space Traffic and Debris Modeling
• Space Object Aging (Gerontology) Effects and Impacts
• Break-up events, fatigue, cracking, fragmentation, sloughing
• Space Environment Effects and Impacts
• Near Earth Object Detection and Tracking
• Spacecraft In-Situ Data Exploitation
• Space Domain Awareness and Decision-Support Systems