We have received a new award from the “Dynamic Data and Information Processing” program at AFOSR (Air Force Office of Scientific Research). The goal of this project is to develop theoretical and computational methodologies that enable intelligent decisions from cooperative satellites on how to observe non-cooperative space objects. We propose a dynamic data driven applications systems-based framework under which the object model is refined incrementally using the sensor measurements from chaser spacecraft, while concurrently optimizing collect measurements to enhance the posterior belief about the object model.
On this Earth Day, we are awarded an NSF grant “ANSWERS: Prediction of Geoeffective Solar Eruptions, Geomagnetic Indices, and Thermospheric Density Using Machine Learning Methods.” This project is a collaboration among Rutgers University, New Jersey Institute of Technology, West Virginia University, and Montclair State University that will improve our ability to predict several linked space weather components: geoeffective solar eruptions, the global magnetic response of Earth to these eruptions, as well as variation of neutral density in the Earth’s thermosphere and its effect on satellite drag.
Professor Bai has been awarded as a fellow in 2021 Air Force Research Lab Summer Faculty Fellowship Program at AFRL-Space Vehicles.
About: The U.S. Air Force Research Lab Summer Faculty Fellowship Program offers hands-on exposure to Air Force research challenges through 8- to 12-week research residencies at participating Air Force research facilities for full-time science, mathematics, and engineering faculty at U.S. colleges and universities. For more information: https://afsffp.sysplus.com/
Awardees 2021: https://afsffp.
Professor Bai has been elected to the grade of Associate Fellow for the Class of 2021 in the American Institute of Aeronautics and Astronautics (AIAA).
AIAA Associate Fellows are individuals of distinction who have made notable and valuable contributions to the arts, sciences, or technology of aeronautics or astronautics.
See the AIAA news: https://www.aiaa.org/news/news/2020/09/28/aiaa-announces-class-of-2021-associate-fellows
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Here is the link to the article: Rutgers professor wins award from NASA
We have received a new award from AFOSR.
The project focuses on two fundamental questions:
How can we quantify the performance uncertainty of the learning-integrated orbit predictions? How can we fuse the newly developed machine learning (ML) approach with the classical orbit prediction? Success of this project will create performance-guaranteed learning strategies, and enhance our SSA capabilities with safer, more robust, and higher accuracy orbit predictions. We appreciate the AFOSR for the continuous support!
Professor Bai is selected by NASA as one of nine Early Career Faculty at US Universities for Space Tech Research.
Xiaoli Bai, Rutgers University in New Brunswick, New Jersey
A Holistic Bayesian Framework for Intelligent Calibration of Constellations of Sensors
Bai aims to enable autonomous space sensor calibration, both individually and collectively as a sensing network. This capability will provide richer information at higher resolutions than using an individual sensor on one spacecraft.
Today, Liyang successfully passed his Ph.D. defense for his dissertation, “Advanced Guidance and Navigation of Small UAVs under GPS-denied Environment with Experimental Validations”.
Congratulation Dr. Wang! We are proud of you.
Today, Gaurav successfully passed his Ph.D. defense for his dissertation, “Convex Optimization based Planning and Control Methods for Space-robotic Systems”.
Congratulation Dr. Misra! We are proud of you.