news

Featured by AFOSR

Professor Bai was featured by Air Force Office of Scientific Research (AFOSR). See the original LinkedIn post here.

Fellow in 2021 Air Force Research Lab Summer Faculty Fellowship Program

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 Named AIAA Associate Fellow

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

Professor Bai featured in The Daily Targum

The Daily Targum was founded in 1869, and is the second-oldest and among the largest college newspapers in the nation. Here is the link to the article: Rutgers professor wins award from NASA

New AFOSR Grant

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!

Selected by NASA as one of nine Early Career Faculty at US Universities for Space Tech Research

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.

Liyang Wang's PhD defense

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.

Gaurav Misra's PhD defense

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. --

Dr. Peng has been nominated for the Blavatnik Award

Dr. Hao Peng has been selected to be one of the Rutgers nominees for the regional postdoctoral competition of the Blavatnik Award for Young Scientists. We are pleased that his scholarly credentials are recognized by the Rutgers committee. Congratulation Dr. Peng! We are proud of you.

Professor Bai received two awards

Professor Bai received two awards — we are grateful to these recognitions, inspirations, and generous support! Professor Bai has received the Texas A&M Outstanding Young Aerospace Engineer award. This award recognizes Alumni under the age of 40 who have exhibited outstanding work in the field of Aerospace Engineering. Professor Bai has also just received the 2018 A. Walter Tyson Assistant Professor Award from the School of Engineering at Rutgers. The Tyson fund, established by A.