Dr. Yang Yang's research interests revolve around unraveling behaviours of Resident Space Objects (RSOs) through the intricate web of tracking data, fostering a deeper understanding of Space Positioning, Navigation & Timing (PNT) and Space Situational Awareness (SSA). With an insatiable curiosity, he seeks to predict and comprehend the nuanced patterns exhibited by these man-made entities. 

Drawing upon his extensive expertise in astrodynamics, Dr. Yang delves into the realm of nonlinear/non-Gaussian filtering/estimation, data association, GNSS measurement processing, precise orbit determination, and the multifaceted techniques that encompass PNT and SSA. His arsenal of skills encompasses a diverse range of methodologies, all aimed at unraveling the nature of RSOs within the confines of our increasingly crowded, congested, and contaminated space environment.

Currently, Dr. Yang immerses himself in the realm of data inference, seeking to quantify the behavioural essence of RSOs and advance the emerging PNT applications within the cislunar environment. Delving deep into the analysis of satellite "patterns of life," he passionately strives to enhance the accuracy and robustness of statistical orbit determination. Additionally, he actively explores the realm of lunar navigation, aiming to improve its efficiency through inter-satellite crosslinks. Dr. Yang's work serves as a catalyst in bridging the gap between academia and industry, fostering a symbiotic relationship that propels the future of enhanced space traffic.