Project:	Hardware-in-the-loop Deep Space Network Autonomy Sandbox (JPL AO No. 16867)
Disciplines:	Information Systems/Technology, Data Science
Mentor:	Ryan Mackey, (JPL), Ryan.M.Mackey@jpl.nasa.gov, Phone: (626) 390-1132
Background:	NASA’s Deep Space Network provides vital communication services to space missions. In order to modernize and sustain this critical system, JPL is exploring advanced technologies to monitor, control, troubleshoot, and recover network assets. To evaluate and mature new approaches, JPL is developing a sandbox environment simulating DSN behavior, using a subnet of Raspberry Pi single-board computers to represent control, sensor, and processing nodes. Ideally, this low-cost, low-risk environment will encourage development and infusion of new technologies from AI-based commanding and exception handling to creation of intuitive interfaces and displays.
Description:	During the course of the internship, the student will assist in prototyping this new sandbox environment with the goal of making it accessible and convenient for researchers, reducing barriers to productivity. As part of the trial and development process, the student will have the opportunity for preliminary experiments with machine learning or AI algorithms. This effort will be coordinated with other related intern projects for the DSN, affording the student a chance to ideate with other investigators of similar background.
References:	M. Johnston and E. Wyatt, “AI and Autonomy Initiatives for NASA’s Deep Space Network,” IJCAI 2017. https://ai.jpl.nasa.gov/public/documents/papers/johnston-ijcai2017-network.pdf K. Yun, “Real-time Anomaly Detection in Deep Space Network Operations Using Machine Learning,” AIAA 2021. https://arc.aiaa.org/doi/full/10.2514/6.2021-4008 J. Choi, R. Verma, and S. Malhotra, “Achieving Fast Operational Intelligence in NASA’s Deep Space Network Through Complex Event Processing,” AIAA SpaceOps 2016. https://arc.aiaa.org/doi/pdf/10.2514/6.2016-2375
Student Requirements:	Knowledge of Python, Github, Docker preferred Embedded computing Machine learning and GenAI experience User interface development
Location / Safety:	Project building and/or room locations: . Student will need special safety training: .
Programs:	This AO can be done under the following programs:   Program    Available To        SURF@JPL    both Caltech and non-Caltech students  Click on a program name for program info and application requirements.