Professor, Engineering Systems and Environment Associate Director, Link Lab
Bio
Ph.D., Civil Engineering, University of Texas at Austin, 2005M.S., Civil Engineering, University of Texas at Austin, 2003B.S., Civil Engineering, University of Virginia, 2001
Jonathan Goodall is a professor of civil engineering in the Department of Engineering Systems and Environment at the University of Virginia (UVA). He is trained as a water resources engineer and works to advance the field of hydroinformatics where data and computational science are used to improve the understanding, forecasting, management of water systems. Much of his current work is focused on adapting techniques from cyber-physical systems for real-time flood mitigation in coastal urban communities experiencing sea level rise impacts. Professor Goodall is the Associate Director of the interdisciplinary Link Lab within UVA's Engineering School, leading their Smart Cities research area, and directs the Hydroinformatics Research Group housed in the Link Lab. He is a member of UVA's Pan-University Environmental Resilience Institute steering committee, is an affiliated faculty member of the Center for Transportation Studies, and serves on the advisory board for the non-profit Center for Civic Innovation. Professor Goodall is a registered Professional Engineering (PE) and was elected Fellow of the American Society of Civil Engineers in 2018.
Awards
Elected Fellow, American Society of Civil Engineering2018
Early Career Research Excellence Award, International Environmental Modelling & Software Society (iEMSs)2012
CAREER Award, National Science Foundation2009
Research Interests
Water Resources Engineering
Hydroinformatics
Stormwater
Flooding
Smart Cities
GIS
Selected Publications
Flood risk assessment and increased resilience for coastal urban watersheds under the combined impact of storm tide and heavy rainfall. ABSShen, Y., Morsy, M.M., Huxley, C., Tahvildari, N. and Goodall, J.L., 2019. Journal of Hydrology, 579, p.124159.
Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5. ABS Sadler, J.M., Goodall, J.L., Behl, M., Morsy, M.M., Culver, T.B. and Bowes, B.D., 2019. Environmental Modelling & Software, 120, p.104484.
Forecasting Groundwater Table in a Flood Prone Coastal City with Long Short-term Memory and Recurrent Neural Networks ABSBowes, B.D., Sadler, J.M., Morsy, M.M., Behl, M. and Goodall, J.L., 2019. Water, 11(5), p.1098.
Effects of LiDAR DEM Smoothing and Conditioning Techniques on a Topography‐Based Wetland Identification Model. ABSO'Neil, G.L., Saby, L., Band, L.E. and Goodall, J.L., 2019. Water Resources Research, 55(5), pp.4343-4363.
Precipitation Extremes and Flood Frequency in a Changing Climate in Southeastern Virginia ABSSridhar, V., Modi, P., Billah, M.M., Valayamkunnath, P. and Goodall, J.L., 2019. JAWRA Journal of the American Water Resources Association.
