Simone Pittaluga

Simone received his bachelor's degree in geological sciences with a thesis on the development and application of geostatistical estimation methods on irregular spatial domains. He obtained the master degree in 2008 in geological sciences working on the estimation of mean elemental concentrations from river sediments applied to land use planning. In the same year he obtained the professional qualification and collaborated as professional consultant with the geochemistry laboratory at the University of Genova in the development of geochemical mapping exploiting geostatistical methods. During his professional activity he developed a commercial level software for seismic refraction tomography. Simone started working at CNR-IMATI in 2013 on topics related to the application of numerical methods to environmental themes with particular interest towards geostatistics.


Projects


Publications

2017, Journal article
Comparing methods for the approximation of rainfall fields in environmental applications
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo

CNR@IRIS | DOI: 10.1016/j.isprsjprs.2016.09.011
2016, Essay or book chapter
Applications to surface approximation and rainfall analysis
G. Patanè, A. Cerri, V. Skytt , S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo

CNR@IRIS | DOI: 10.2200/S00711ED1V01Y201603VCP024
2023, Meeting abstracts
Towards immersive urban digital twins
Brigida Bonino, Daniela Cabiddu, Michela Mortara, Katia Lupinetti, and Simone Pittaluga

CNR@IRIS
2021, Conference proceedings
3D modeling and integration of heterogeneous geo-data
M. Miola, D. Cabiddu, S. Pittaluga, M. Mortara, M. Vetuschi Zuccolini and G. Imitazione

CNR@IRIS | DOI: 10.2312/stag.20211473
2021, Meeting abstracts
A Change of Support Model Optimization for Environmental Monitoring
S. Berretta, D. Cabiddu, M. Mortara, S. Pittaluga and M. Vetuschi Zuccolini

CNR@IRIS
2021, Meeting abstracts
An innovative sampling strategy for the monitoring of pollutants in harbours
S. Berretta, D. Cabiddu, M. Mortara, S. Pittaluga, M. Spagnuolo, M. Vetuschi Zuccolini

CNR@IRIS
2021, Meeting abstracts
Smart and Efficient Marine Water Monitoring
S. Berretta, D. Cabiddu, S. Pittaluga, M. Mortara, M. Spagnuolo and M. Vetuschi Zuccolini

CNR@IRIS
2021, Meeting abstracts
The Geochemical Numerical Model of Liguria: a stochastic tool to evaluate the uncertainty of elemental concentration estimates
M.Vetuschi Zuccolini, S. Pittaluga

CNR@IRIS | DOI: 10.3301/ABSGI.2021.03
2019, Conference proceedings
Robotics and adaptive sampling techniques for harbor waters monitoring: the MATRAC-ACP project
Massimo Caccia, (1); Roberta Ferretti, (1); Angelo Odetti, (1); Gabriele Bruzzone, (1); Michela Spagnuolo, (2); Michela Mortara, (2); Serena Berretta, (2); Daniela Cabiddu, (2); Simone Pittaluga, (2); Marino Vetuschi Zuccolini, (3); Lorenzo Brignone, (4); ;

CNR@IRIS | DOI: 10.1109/OCEANSE.2019.8867568
2018, Conference proceedings
Adaptive environmental sampling: The interplay between Geostatistics and Geometry
S. Berretta, D. Cabiddu, S. Pittaluga, M. Mortara, M Spagnuolo, and M. Vetuschi-Zuccolini

CNR@IRIS | DOI: 10.2312/stag.20181306
2018, Conference posters
Real-time volumetric modelling based on adaptive sampling of environmental scalar fields derived by uncertainty maps
S. Berretta, D. Cabiddu, S. Pittaluga, M. Mortara, M Spagnuolo, and M. Vetuschi-Zuccolini

CNR@IRIS
2016, Conference proceedings
Tracking the evolution of rainfall precipitation fields using persistent maxima
S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo

CNR@IRIS | DOI: 10.2312/stag.20161361
2015, Conference proceedings
A comparison of methods for the approximation and analysis of rainfall fields in environmental applications
G. Patane', A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo

CNR@IRIS | DOI: 10.5194/isprsannals-II-3-W5-523-2015
2018, Technical report
Adaptive sampling of environmental variables (ASEV)
S. Berretta, D. Cabiddu, S. Pittaluga, M. Mortara,M. Spagnuolo, and M. Vetuschi Zuccolini

CNR@IRIS | Link
2016, Technical report
Comparing methods for the approximation of rainfall fields in environmental applications
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo

CNR@IRIS | Link
2016, Technical report
Persistence-based tracking of rainfall field maxima
S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo

CNR@IRIS | Link