2015 Ph.D., Environmental Science, Lousiana State University
2011 M.S., Environmental Science, Louisiana State University
2009 B.A., Environmental Science, minor in Applied Mathematics, Nankai University, Tianjin, China
Kenan Li, Ph.D., is a research scientist in the Spatial Sciences Institute of the University of Southern California. His research interests focus on spatial computation and modeling of community resilience/sustainability, data science and statistics in environmental health, and geosimulation of human and environmental systems. His work incorporates big data, deep learning and GIS, and seeks to develop geoAI (artificial intelligence) frameworks, integrated geo-cyber-infrastructures, new approaches for analyzing integrated sensor data, and novel biostatistics algorithms.
He has worked for a number of research projects funded by National Science Foundation, National Institutes of Health, Bureau of Ocean Energy Management, U.S. Department of Agriculture, and U.S. Army Corps of Engineers.
Selected recent peer reviewed works:
- Li, K., Habre, R., Deng, H., Urman, R., Morrison, J., Gilliland, F.D., Ambite, J.L., Stripelis, D., Chiang, Y.Y., Lin, Y., Bui, A.A.T., King, C., Hosseini, A., Vliet, E.V., Sarrafzadeh, M., and Eckel, S.P. (2019) Applying multivariate segmentation methods to human activity recognition from wearable sensors data. JMIR-mHealth and uHealth 7(2): e11201.
- Li, K. and Lam, N.S.N. (2018). A spatial dynamic model of population changes in a vulnerable coastal environment. International Journal of Geographical Information Science 32(4): 685-710.
- Li, K. and Lam, N.S.N. (2018). Geographically Weighted Elastic Net: a variable-selection and modeling method under the spatially nonstationary condition. Annals of the American Association of Geographers 108(6): 1582-1600.