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.