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) with a courtesy appointment in the Department of Computer Science. 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 Engineering 2018
  • Early Career Research Excellence Award, International Environmental Modelling & Software Society (iEMSs) 2012
  • CAREER Award, National Science Foundation 2009

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. ABS Shen, 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 ABS Bowes, 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. ABS O'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 ABS Sridhar, V., Modi, P., Billah, M.M., Valayamkunnath, P. and Goodall, J.L., 2019. JAWRA Journal of the American Water Resources Association.

Courses Taught

  • CE 6230 Hydrology
  • CE 3220 Water Resources Engineering
  • CE 6500 Hydroinformatics