Jingyi Ann Chen

Dr. Jingyi "Ann" Chen is pioneering research in satellite geodesy and remote sensing as an assistant professor in the Department of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. Her expertise lies in the development and application of interferometric Synthetic Aperture Radar (InSAR) image processing algorithms, which play a crucial role in earth observation applications. With a career spanning over a decade, Dr. Chen has established herself as a leading figure in SAR/InSAR algorithm design. At the helm of the Radar Interferometry Group, Dr. Chen is dedicated to advancing satellite technologies and InSAR methodologies. Her research is instrumental in addressing critical global challenges, such as understanding natural and induced seismicity, managing groundwater resources, and mitigating the impacts of natural disasters. Additionally, her work extends to studying permafrost hydrology and carbon storage, areas that are increasingly significant in the context of climate change. Dr. Chen's contributions to the field are marked by her innovative approach to satellite geodesy, where she integrates cutting-edge technology with practical applications. Her research not only enhances our understanding of the Earth's dynamic processes but also provides valuable insights for policymakers and stakeholders involved in environmental management and disaster response. Her commitment to education and mentorship is evident in her role at The University of Texas at Austin, where she inspires the next generation of engineers and scientists. Dr. Chen's dedication to her students and her field is reflected in her numerous publications and presentations at international conferences, where she shares her findings and collaborates with fellow researchers. Through her work, Dr. Chen continues to push the boundaries of what is possible in remote sensing and satellite geodesy, making significant strides in the way we observe and interact with our planet. Her efforts are not only advancing scientific knowledge but also contributing to a more sustainable and resilient future.