Dr. Rong Yang is a Tenure-Track Associate Professor at Shanghai Jiao Tong University. She received her PhD in Electrical and Electronic Engineering from Nanyang Technological University (NTU), Singapore in 2017. Her research focus are on GNSS signal processing in challenging environment. She is an internationally recognized contributor to resilient PNT. Her work has fundamentally advanced the GNSS robustness in challenging environments.

Dr. Yang’s contribution is the development of a unified space-time-frequency signal processing framework that transforms environmental distortions from liabilities into assets. Conventional GNSS receivers treat multipath, ionospheric scintillation, and Interference as separate disturbances that degrade or disrupt carrier-phase measurements. Dr. Yang recognized that these effects often exhibit structured spatial-temporal-frequency coherence. Building on this insight, she developed a generalized state-space model for GNSS signal tracking that formalizes these distortions as coupled processes and redesigns receiver tracking loops to exploit inherent diversity. She also developed spatial signature extraction techniques that map correlation-domain distortions into geometric space features, enabling precise multipath detection in urban canyons where traditional discriminators fail. Her collaborative multi-frequency tracking methods leverage L1/L5 cross-band correlators to isolate multipath, significantly improving navigation continuity in urban canyons.

She was the recipient of the ION Per Enge Early Achievement Award in 2025. She chaired multiple sessions at ION GNSS+ and IEEE/ION PLANS in past five years. She is a senior member of the IEEE. She serves as IEEE TAES Associate Editor from 2020, and received Outstanding Contribution Award in 2022.