Phone: 512-475-9411 | Email: wmobley@tacc.utexas.edu
Dr. Mobley joined the Multi Modal Applications Team in June of 2022. He is currently a research associate focusing on Robust Decision Making under uncertainty and Geospatial Applied Machine Learning. Previously Dr. Mobley was an Assistant Research Scientist at the Institute for Disaster Resilient Texas.
Yuan, F., Mobley, W., Farahmand, H., Xu, Y., Blessing, R., Mostafavi, A., Brody, S. D. (revise and resubmit). Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data. arXiv preprint arXiv:2108.13265.
Mobley, W., Sebastian, A., Blessing, R., Highfield, W. E., Stearns, L., and Brody, S. D.(2021) Quantification of Continuous Flood Hazard using Random Forrest Classification and Flood Insurance Claims at Large Spatial Scales: A Pilot Study in Southeast Texas, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-347.
Mobley, W., Atoba, K. Highfield, W. (2020) Uncertainty in Flood Mitigation Practices: Assessing the Economic Benefits of Property Buyouts and Freeboard Elevation in Flood Prone Communities Sustainability, 12(5), 2098; https://doi.org/10.3390/su12052098.
