- Civil Engineering
- urban hydrology
- uncertainty analysis
- data-driven modelling
- risk assessment
- water quality
- stormwater management
Dr. Usman T Khan is an Assistant Professor in Civil Engineering at the Lassonde School of Engineering, York University. His research interests lie in Water Resources Engineering, focusing on urban hydrology, including flood risk assessment and uncertainty analysis, sustainable water resource management and infrastructure and the impacts of climate change on these systems.
Dr. Khan received his B.Sc. and M.Sc. from the University of Calgary. His undergraduate project focused on designing a net zero water use building on a university campus. For his M.Sc. research, he tested the efficacy of bioretention cells, a type of sustainable stormwater management technology. Dr. Khan was awarded a PhD from the University of Victoria; his research contributions included designing new big-data based techniques to improve water quality and quantity analysis in urban areas.
He has won a number of national awards for his research and teaching, including NSERC awards for his M.Sc, PhD and postdoctoral work and recently an Andy Farquharson Teaching Excellence Award. In addition to this, Dr. Khan has worked with municipal governments, providing his expertise to a number of stormwater, watershed management and urban hydrology projects.
The role of Civil Engineering in creating vibrant, livable and sustainable cities is a strong motivator for Dr. Khan. He is committed to using his professional practice to meet the challenges that face the urban environment.
- Khan, U. T. & Valeo, C. (2016). Dissolved oxygen prediction using a possibility theory based fuzzy neural network, Hydrol. Earth Syst. Sci., 20, 2267-2293
- Khan, U. T. & Valeo, C. (2015). Comparing a Bayesian and fuzzy number approach to uncertainty quantification in short-term dissolved oxygen prediction. (Accepted) Journal of Environmental Informatics.
- Khan, U. T. & Valeo, C. (2015). Short-term peak flow rate prediction and flood risk assessment using fuzzy linear regression.
- Khan, U. T. & Valeo, C. (2014). A new fuzzy linear regression approach for dissolved oxygen prediction. Hydrological Sciences Journal, 60(6), 1096-1119.
- Al-Rawas, G. A., Valeo C., Khan, U. T. & Al-Hafeedh O. H. (2013). Effects of urban form on wadi flow frequency analysis in Oman, Urban Water Journal.
- Khan, U. T., Valeo, C. & He, J. (2013). Non-linear fuzzy-set based uncertainty propagation for improved DO prediction using multiple-linear regression. Stochastic Environmental Research and Risk Assessment,
- Khan, U. T., Valeo. C., Chu, A. & He, J. (2013). A data driven approach to bioretention cell performance: Prediction and design. Water 5(1):13-28,
- Khan, U. T., Valeo, C., Chu, A. & van Duin, B. (2012). Bioretention cell efficacy in cold climates: Part 1 — hydrologic performance. Canadian Journal of Civil Engineering, 39(11), 1210-1221
- Khan, U. T., Valeo, C., Chu, A. & van Duin, B. (2012). Bioretention cell efficacy in cold climates: Part 2 — water quality performance. Canadian Journal of Civil Engineering, 39(11), 1222-1233.