Ph.D. candidate Runzhi has started a Research Student Attachment Programme at the University of New South Wales (UNSW), supervised by Prof. Jinling Wang, a globally recognized authority in precise GNSS positioning and stochastic modeling.
Ph.D. student Runzhi (left) and Prof. Jinling Wang (right) during their first meeting at UNSW.
The collaboration began with a first meeting on 7 April, where the two explored new approaches to GNSS measurement challenges. Their discussion centred on integrating deep learning techniques with traditional stochastic modeling, a field historically dominated by classical statistical analysis. Prof. Wang highlighted the potential of data-driven methods, noting that machine learning could transform how stochastic models are developed and refined in GNSS applications.
The partnership is a step towards bridging AI technologies and satellite positioning research. Both parties expressed enthusiasm for sustained collaboration, aiming to improve the precision and reliability of GNSS systems through interdisciplinary innovation.