About Luigi Lombardo Luigi Lombardo Postdoctoral Research Fellow, Statistics Geomorphology landslide susceptibility modeling environmental modeling Environmental Statistics Dr. Luigi Lombardo joined the Extreme Statistics Research Group and worked as Postdoctoral Research Fellow from April, 2016, to December, 2018, under the joined supervision of Prof. Raphaël Huser and Prof. Martin Mai. After his postdoc at KAUST, Luigi moved to ITC, University of Twente, Netherlands, where he embraced an academic career by becoming an Assistant Professor of Soil Science. See his personal website here. Education and early career Luigi Lombardo received his Ph.D. from Universita’ degli Studi di Palermo, Palermo, Italy in 2015. He joined KAUST as a postdoc in April 2016, and moved Articles Related News January 2024 New paper accepted in Natural Hazards and Earth System Sciences (NHESS) 1 min read · Fri, Jan 19 2024 Spotlight News New paper accepted: Dahal, A., Tanyas, H., van Westen, C., van der Meije, M., Mai, P. M, Huser, R., and Lombardo, L. (2024+), Space-time landslide hazard modeling via ensemble neural networks, Natural Hazards and Earth System Sciences, to appear [ PDF preprint] New paper accepted in Spatial Statistics 1 min read · Mon, Jan 8 2024 Spotlight News Cisneros, D., Richards, J., Dahal, A., Lombardo, L., and Huser, R. (2024+), Deep graphical regression models for jointly moderate and extreme Australian wildfires, Spatial Statistics, to appear [ PDF preprint] August 2023 New paper accepted in Journal of the Royal Statistical Society: Series C 1 min read · Sat, Aug 5 2023 Spotlight News New paper accepted: Yadav, R., Huser, R., Opitz, T., and Lombardo, L. (2023+), Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions, Journal of the Royal Statistical Society: Series C, to appear [ PDF preprint]. October 2021 High-resolution Bayesian mapping of landslide hazard with unobserved trigger event 1 min read · Mon, Oct 18 2021 News landslide INLA Log-Gaussian Cox process New paper accepted: Opitz, T., Bakka, H., Huser, R. , and Lombardo, L. (2021+), High-resolution Bayesian mapping of landslide hazard with unobserved trigger event , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ]. December 2020 Modeling the neighborhood boosts landslide prediction 1 min read · Sun, Dec 13 2020 News statistics extreme statistics A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems. August 2020 New paper accepted in Earth Science Reviews (ESR) 1 min read · Thu, Aug 6 2020 Spotlight News extreme weather statistics New paper accepted: Lombardo*, L., Opitz, T., Ardizzone, F., Guzzetti, F., and Huser, R. (2020+), Space-time landslide predictive modelling, Earth Science Reviews, to appear [PDF preprint] October 2019 Shaking up the landslide model 2 min read · Thu, Oct 24 2019 News disaster management Environmental Statistics statistics Areas without earthquake monitoring systems could model the tremors by using data from local landslides. June 2019 New paper accepted in JGR - Earth Surface 1 min read · Tue, Jun 25 2019 Spotlight News Statistics of extremes Bayesian Statistics New accepted paper: Lombardo, L., Bakka, H., Tanyas, H., van Westen, C., Mai, P. M., and Huser, R. (2019+), Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides, Journal of Geophysical Research-Earth Surface [ PDF preprint] October 2018 Congratulations to Luigi for his new position as Assistant Professor of Applied Soil Science at the University of Twente 1 min read · Sun, Oct 7 2018 Spotlight News May 2018 Point patterns help to predict landslides 1 min read · Sun, May 20 2018 News computing earth science statistics Environmental Statistics Rainfall simulations in statistical models could allow accurate prediction of dangerous landslides.
New paper accepted in Natural Hazards and Earth System Sciences (NHESS) 1 min read · Fri, Jan 19 2024 Spotlight News New paper accepted: Dahal, A., Tanyas, H., van Westen, C., van der Meije, M., Mai, P. M, Huser, R., and Lombardo, L. (2024+), Space-time landslide hazard modeling via ensemble neural networks, Natural Hazards and Earth System Sciences, to appear [ PDF preprint]
New paper accepted in Spatial Statistics 1 min read · Mon, Jan 8 2024 Spotlight News Cisneros, D., Richards, J., Dahal, A., Lombardo, L., and Huser, R. (2024+), Deep graphical regression models for jointly moderate and extreme Australian wildfires, Spatial Statistics, to appear [ PDF preprint]
New paper accepted in Journal of the Royal Statistical Society: Series C 1 min read · Sat, Aug 5 2023 Spotlight News New paper accepted: Yadav, R., Huser, R., Opitz, T., and Lombardo, L. (2023+), Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions, Journal of the Royal Statistical Society: Series C, to appear [ PDF preprint].
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event 1 min read · Mon, Oct 18 2021 News landslide INLA Log-Gaussian Cox process New paper accepted: Opitz, T., Bakka, H., Huser, R. , and Lombardo, L. (2021+), High-resolution Bayesian mapping of landslide hazard with unobserved trigger event , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ].
Modeling the neighborhood boosts landslide prediction 1 min read · Sun, Dec 13 2020 News statistics extreme statistics A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.
New paper accepted in Earth Science Reviews (ESR) 1 min read · Thu, Aug 6 2020 Spotlight News extreme weather statistics New paper accepted: Lombardo*, L., Opitz, T., Ardizzone, F., Guzzetti, F., and Huser, R. (2020+), Space-time landslide predictive modelling, Earth Science Reviews, to appear [PDF preprint]
Shaking up the landslide model 2 min read · Thu, Oct 24 2019 News disaster management Environmental Statistics statistics Areas without earthquake monitoring systems could model the tremors by using data from local landslides.
New paper accepted in JGR - Earth Surface 1 min read · Tue, Jun 25 2019 Spotlight News Statistics of extremes Bayesian Statistics New accepted paper: Lombardo, L., Bakka, H., Tanyas, H., van Westen, C., Mai, P. M., and Huser, R. (2019+), Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides, Journal of Geophysical Research-Earth Surface [ PDF preprint]
Congratulations to Luigi for his new position as Assistant Professor of Applied Soil Science at the University of Twente 1 min read · Sun, Oct 7 2018 Spotlight News
Point patterns help to predict landslides 1 min read · Sun, May 20 2018 News computing earth science statistics Environmental Statistics Rainfall simulations in statistical models could allow accurate prediction of dangerous landslides.
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