GLAD

I received my B.S. in Geographical Information Science and B.Ec. in Finance from Wuhan University in 2020. I was also a visiting student at the University of St Andrews in 2019. Then I received my M.S. in Geographical Information Science from The State University of New York at Buffalo in 2023. During my master’s, I was a research assistant in the GeoAI lab at the University at Buffalo. I joined the GLAD lab in 2023 as a Ph.D. student. My research interests include machine learning, deep learning, high-performance computing, remote sensing, and large-scale energy land use land cover change.

Previous publications:

Sun, K., Hu, Y., Ma,Y., Zhou, R.Z., Zhu, Y., (2022): Conflating point of interest (POI) data: A systematic review of matching methods. Computers, Environment and Urban Systems, 103, 101977.

Zhou, R.Z., Hu, Y., Tirabassi, J., Ma, Y. & Xu, Z., (2022): Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation. International Journal of Health Geographics, 21(1), 1-18, https://doi.org/10.1186/s12942-022-00321-4.

Ma, Y., Hu, Y., Moncrieff, G., Slingsby, J., Wilson, A., Maitner, B., Zhou, R.Z., (2022): Forecasting vegetation dynamics in an open ecosystem by integrating deep learning and environmental variables. International Journal of Applied Earth Observation and Geoinformation, 114, 103060, https://doi.org/10.1016/j.jag.2022.103060.