Agenda | |
Working Groups |
Working Group E |
Intelligent Systems and Machine Learning for Space Ground Systems |
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Monday – February 27, 2023 12:30 PM-3:00 PM PT |
Description |
Adaptive, reliable automation and intelligent decision making are essential for the success of our space ground systems. One big challenge is migrating capabilities out of the lab to supporting critical mission operations. In the past, these approaches were often misunderstood, misapplied, too complex or costly to sustain, or insufficient for mission needs. Applied intelligent systems and machine learning technologies have begun to address this challenge through self-evolving, efficient, and value-focused capabilities. In addition, un-realized opportunities exist for applying established, or rapidly emerging technologies, solutions and architectures to the area of ground system space control and mission processing.
This year of the GSAW “Intelligent Systems / Machine Learning for Space Ground Systems” working group will explore
Format of the Working Group
Desired Outcomes The primary goal of the Working Group is to compile the results from the presentations, survey and panel discussion, to be out-briefed at end of the GSAW Workshop. The outcome should inform adopters, as well as informing stakeholders who are able to support research and development and help integrate intelligent systems into operations. A secondary goal is to establish an enduring community for long-term collaboration. |
Leads | Nick Perlongo and James Andrew Gilbertson, The Aerospace Corporation |
Biographies |
Dr. Nick Perlongo is currently a section manager in the CSG Artificial Intelligence, Analytics & Innovation department at The Aerospace Corporation. He and his team provide software development solution architecting, including ML/AI, to advance missions in civil space. Prior to joining Aerospace, Dr. Perlongo’s research included development of a comprehensive physics-based models to simulate geospace weather dynamics. He also worked as a data scientist at an advertising technology startup company. Dr. Perlongo holds a Ph.D. in Atmospheric and Space Science and a B.S.E in Earth Systems Science & Engineering from the University of Michigan.
James Andrew Gilbertson is a Senior Engineering Specialist in the Data Science and Artificial Intelligence Department at The Aerospace Corporation. He has more than ten years of experience with ground systems concept exploration, prototyping, and acquisition support experience. More recently he his research has focused on applying machine learning to launch telemetry anomaly detection, cybersecurity, and object detection. Additionally, his work has explored machine learning engineering, MLOps, and integrating analytic capabilities in larger systems. Mr. Gilbertson has a master’s in Computer Science from Georgia Tech and a B.S in Computer Engineering and Mathematics from Virginia Tech. |