Location
Olsson Hall 283
Lab
Link Lab (2nd floor of Olsson Hall) 151 Engineers Way
Google Scholar Research Gate Link Lab Hydroinformatics Group Center for Transportation Studies

About

Jon Goodall is a Professor in the Department of Civil and Environmental Engineering at the University of Virginia (UVA) and Director of the UVA Engineering Link Lab. He is a water resources engineer working to advance the field of hydroinformatics where data and computational sciences are used to improve the understanding, forecasting, and management of water systems. Much of his current work focuses on adapting techniques from cyber-physical systems for real-time flood mitigation in coastal urban communities experiencing sea level rise impacts. Professor Goodall leads the Hydroinformatics Research Group housed in the Link Lab, co-directs the UVA Public Interest Technology University Network (PIT-UN), is a member of UVA's Pan-University Environmental Institute, and is a member of the Center for Transportation Studies. Professor Goodall is a registered Professional Engineer (PE), a Fellow of the American Society of Civil Engineers, and an elected member of the Virginia Academy of Science, Engineering, and Medicine. He earned his Ph.D. and M.S. in Civil Engineering from the University of Texas at Austin and his B.S. in Civil Engineering from the University of Virginia.

Education

Ph.D., Civil Engineering, ​​University of Texas at Austin, 2005

M.S., Civil Engineering, ​University of Texas at Austin, 2003

B.S., Civil Engineering, University of Virginia, 2001

Research Interests

Water Resources Engineering
Hydroinformatics
Stormwater
Flooding
Smart Cities
GIS

Selected Publications

Forecasting Multi-Step-Ahead Street-Scale nuisance flooding using seq2seq LSTM surrogate model for Real-Time applications in a Coastal-Urban city Roy, B., Goodall, J. L., McSpadden, D., Goldenberg, S. and Schram, M. Journal of Hydrology, 132697, doi:10.1016/j.jhydrol.2025.132697, 2025
ABS
Exploring Infiltration Effects on Coastal Urban Flooding: Insights from Nuisance to Extreme Events Using 2D Hydrodynamic Modeling and Crowdsourced Flood Reports Barbosa, S. A., Wang, Y. and Goodall, J. L. Science of the Total Environment 968, 178908, doi:10.1016/j.scitotenv.2025.178908, March 2025
ABS
Using crowdsourced data to estimate passenger vehicle travel delays from nuisance flooding Zahura, F. T., Goodall, J. L. and Chen, T. D. Transportation Research Part D - Transport and Environment 133, 104307, doi:10.1016/j.trd.2024.104307, August 2024
ABS
Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network Wang, Y., Shen, Y., Salahshour, B., Cetin, M., Iftekharuddin, K., Tahvildari, N., Huang, G., Harris, D.K., Ampofo, K. and Goodall, J.L. Environmental Modelling & Software, 173, 105939, doi:10.1016/j.envsoft.2023.105939, February 2024
ABS
Exploring the relationship between flood insurance claims, crowdsourced rainfall, and tide levels for coastal urban communities: Case study for the mid-Atlantic United States Chen, A.B., Goodall, J.L. and Quinn, J.D. Journal of Hydrology, 625, 130123, doi:10.1016/j.jhydrol.2023.130123, October 2023
ABS

Courses Taught

CE 6230 Hydrology
CE 6500 Hydroinformatics

Awards

Elected Member, Virginia Academy of Science, Engineering, and Medicine 2021
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