About
Luca Piciullo is an Associate Professor at OsloMet and a Senior Researcher at the Norwegian Geotechnical Institute. His scientific pursuits primarily revolve around slope stability analysis, rainfall thresholds, early warning systems, risk assessment, and tailings dam stability analysis. With a portfolio of national and international research endeavors, including significant involvement in EU projects, and over 20 impactful scientific papers, Luca s expertise is highly regarded in the academic community.
His contributions extend beyond research as he convenes sessions on landslide early warning and monitoring at renowned conferences like EGU and WLF. Additionally, Luca serves as a distinguished expert adviser for Start FOREWARN and is a member of the executive committee of the International network LANDAWARE. Furthermore, he is a member of the technical committee on Tailing and Mine Wastes of The International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE).
Publications and research
Scientific publications
Cheon, Enok; Oguz, Emir Ahmet; Biagio, Amanda Johansen Di;
Piciullo, Luca
(2025).
A 3D Shallow Translational Landslide Susceptibility Model with DEM Cells Accounting for Side Resistance and Vegetation Effects.
Liu, Zhongqiang; Dai, Jian; Robinson, Kate (Ed.).
Proceedings of the 9th International Symposium for Geotechnical Safety and Risk (ISGSR). p. 42-45.
Research Publishing Services.
https://doi.org/10.3850/GRF-25280825_isgsr-007-P35
Abraham, Minu Treesa;
Piciullo, Luca
; Liu, Zhongqiang; Drøsdal, Ida Nordehaug; Robinson, Haakon Rennesvik; Rudjord, Zofia Czyczula; Blomberg, Ann Elisabeth Albright; Maio, Emanuele C.; Ribeiro, Wagner Nahas; Mendonça, Marcos Barreto de
(2025).
Operational Regional Scale Landslide Forecasts: Physics Based And Data-Driven Models.
Liu, Zhongqiang; Dai, Jian; Robinson, Kate (Ed.).
Proceedings of the 9th International Symposium for Geotechnical Safety and Risk (ISGSR). p. 414-417.
Research Publishing Services.
https://doi.org/10.3850/GRF-25280825_isgsr-088-P15
Piciullo, Luca
; Abraham, Minu Treesa; Drøsdal, Ida Nordehaug
(2025).
Forecasting Slope Stability With A Digital Twin: Performance Evaluation.
Liu, Zhongqiang; Dai, Jian; Robinson, Kate (Ed.).
Proceedings of the 9th International Symposium for Geotechnical Safety and Risk (ISGSR). p. 1213-1216.
Research Publishing Services.
https://doi.org/10.3850/GRF-25280825_isgsr-259-P15
Piciullo, Luca
; Abraham, Minu Treesa; Drøsdal, Ida Nordehaug; Paulsen, Erling Singstad
(2024).
An operational IoT-based slope stability forecast using a digital twin.
Environmental Modelling & Software.
Vol. 183.
https://doi.org/10.1016/j.envsoft.2024.106228
Nocentini, Nicola; Rosi, Ascanio;
Piciullo, Luca
; Liu, Zhongqiang; Segoni, Samuele; Fanti, Riccardo
(2024).
Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway).
Landslides. Journal of the International Consortium on Landslides.
Vol. 21.
https://doi.org/10.1007/s10346-024-02287-9
Zhao, J.; Lysdahl, Asgeir Olaf Kydland; Ånes, Eivind Wiik;
Piciullo, Luca
; Ritter, Stefan; DeJong, M.J.
(2024).
An ArcGIS toolbox for the probabilistic performance-based assessment of surface building damage in large-scale urban excavations.
Zhou, Wan-Huan; Guan, Zheng; Li, Xue (Ed.).
Geotechnical Aspects of Underground Construction in Soft Ground. p. 511-519.
CRC Press.
https://hdl.handle.net/11250/3163316
Liu, Zhongqiang; Nagula, Sparsha Sinduri;
Piciullo, Luca
; Lacasse, Suzanne
(2024).
Analysis of risk associated with failures of tailings storage facility.
Guerra, Nuno; Fernandes, Manuel Matos; Ferreira, Cristiana; Correia, Antonio Gomes; Pinto, Alexandre; Pinto, Pedro Seco e (Ed.).
Proceedings of the XVIII ECSMGE 2024 - Geotechnical Engineering Challenges to Meet Current and Emerging Needs of Society. p. 1752-1755.
CRC Press.
https://doi.org/10.1201/9781003431749-326
Liu, Haoyuan; Nagula, Sparsha Sinduri; Jostad, Hans Petter;
Piciullo, Luca
; Nadim, Farrokh
(2024).
Considerations for using critical state soil mechanics based constitutive models for capturing static liquefaction failure of tailings dams.
Computers and geotechnics.
Vol. 167.
https://doi.org/10.1016/j.compgeo.2024.106089
Storrøsten, Erlend Briseid;
Piciullo, Luca
; Nadim, Farrokh; Eidsvig, Unni
(2023).
Uncertainty in flood risk assessment of linear structures: Why correlation matters.
Journal of Hydrology.
Vol. 628.
https://doi.org/10.1016/j.jhydrol.2023.130442
Distefano, Pierpaolo; Peres, David J.;
Piciullo, Luca
; Palazzolo, Nunziarita; Scandura, Pietro; Cancelliere, Antonino
(2023).
Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture.
Landslides. Journal of the International Consortium on Landslides.
Vol. 20.
https://doi.org/10.1007/s10346-023-02132-5