InSAR meteorology: high-resolution atmospheric water vapor estimation, atmospheric dynamics analysis, weather forecast
InSAR Geophysics: earthquake, volcano and tectonic deformation 

• Cao, Y., Li, Z., & Amelung, F. (2019). Mapping ground displacement by a multiple phase difference-based InSAR approach: with stochastic model estimation and turbulent troposphere mitigation. Journal of Geodesy, 1-21.
• Li, Z., Cao, Y., Wei, J., Duan, M., Wu, L., Hou, J., & Zhu, J. (2019). Time-series InSAR ground deformation monitoring: Atmospheric delay modeling and estimating. Earth-Science Reviews.
• Cao, Y., (2019) PyINT: Python&GAMMA based interferometry toolbox. Remote Sensing Code Library, DOI: 10.21982/vd48
• Cao, Y., Li, Z., Wei, J., Hu, J., Duan, M., & Feng, G. (2018). Stochastic modeling for time series InSAR: with emphasis on atmospheric effects. Journal of Geodesy, 92(2), 185-204

• 2014-2019, Ph.D., Geodesy, Central South University, China
• 2016-2018, Joint-PhD, Geophysics, University of Miami, USA
• 2012-2014, M.S., Geodesy, Central South University, China