Senior scientist (Group Leader), Siedlungswasserwirtschaft / T +41 58 765 6714 / email@example.com
Senior researcher (tenured)
My research involves the development of new methods to improve urban hydrology/ hydraulic modelling accuracy, taking advantage of newly available data resources: (i) identify urban water systems features (e.g. sewer inlets and manholes) from aerial imagery obtained using Unmanned Aerial Vehicles (UAVs), and (ii) estimate flow velocity and surface water depth from videos acquired from urban surveillance cameras and social media images, respectively.
I am also interested in the development of urban flood models to more realistically assess urban flood risk. This focus on the improvement of one-dimensional (1D) overland flow models and development of novel data-driven flood models. The ultimate goal is to investigate fast but accurate models targeted to be used in real-time flood forecasting applications.
In addition, I am also investigating Infrastructure Asset Management methods aiming at improving the industry’s perennial need for more efficient infrastructure, geared to reducing costs and risks while increasing its performance and flexibility.
Jamali, B., Haghighat, E., Ignjatovic, A., Leitão, J.P., Deletić, A. (2021). Machine Learning for Accelerating 2D Flood Models: potential and challenges. Hydrological Processes, 35(4), e14064. doi: 10.1002/hyp.14064
Joshi, P., Leitão, J.P., Maurer, M., Bach, P.M. (2021). Not all SUDS are created equal: Impact of different approaches on Combined Sewer Overflows. Water Research, 191, 116780. doi: 10.1016/j.watres.2020.116780
Guo, Z., Leitão, J.P., Simões, N.E., Moosavi, V. (2021). Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks. Journal of Flood Risk Management, 14(1), e12684. doi: 10.1111/jfr3.12684
Chaudhary, P., D’Aronco, S., Leitão, J.P., Schindler, K., Wegner, J.D. (2020). Water level prediction from social media images with a multi-task ranking approach. ISPRS Journal of Photogrammetry and Remote Sensing, 167, 252-262. doi: 10.1016/j.isprsjprs.2020.07.003
Moy de Vitry, M., Leitão, J.P. (2020). The potential of proxy water level measurements for calibrating urban pluvial flood models. Water Research, 175, 115669. doi: 10.1016/j.watres.2020.115669Follow me researchgate linkedin