home / research / mathematics for sustainable development

mathematics for sustainable development

scientific coordinator: Luca Formaggia

 

The main goals for this topic are the development of mathematical models and numerical methods with applications to biomedicine (e.g., precision medicine, mathematical oncology, neurosciences) and for the sustainable use of the subsoil and mitigation of the effects of human activities (e.g., CO2 sequestration, geothermal reservoirs), as well as the implementation and analysis of scientific machine learning algorithms.

 

 

Publications

2025

  • Pederzoli V., Corti M., Riccobelli D., Antonietti P. F., 2025, A coupled mathematical and numerical model for protein spreading and tissue atrophy applied to Alzheimer's disease. Computer Methods in Applied Mechanics and Engineering, 444:118118, https://doi.org/10.1016/j.cma.2025.118118
  • Bortolotti, T., Prioglio, E., Colosimo, B.M., Vantini, S., 2025. Anomaly Detection of Functional Data via Conformal Prediction. Statistics for Innovation I. SIS 2025. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-96736-8_13
  • Borgoni, R., Gilardi, A., Michelangeli, A., Tkach, K., 2025. An Inverted-U, an Elephant or Neither? Exploring the Link Between Migrant Integration Policies and Pro-Immigrant Sentiment. Population, Space and Place, 31: e70053. https://doi.org/10.1002/psp.70053
  • Bortolotti, T., Troilo, R., Menafoglio, A., Vantini, S., 2025. Regularized Nonparametric Estimation of Covariance Kernels for High-Dimensional Interferometric Data. New Trends in Functional Statistics and Related Fields. IWFOS 2025. Springer, Cham. https://doi.org/10.1007/978-3-031-92383-8_9
  • Franco, N.R., Meanti, L., Zunino, P., Paganoni, A.M., 2025. Functional and Topological Data Analysis for the Stratification of patients with Marfan syndrome, Statistics for Innovation IV, Italian Statistical Society Series on Advances in Statistics, Chapter 43, pg. 262-268, https://doi.org/10.1007/978-3-031-96033-8
  • Cavazzutti, M., Arnone, E., Sun, Y., Genton, M.G., Sangalli, L.M., 2025 Functional Data Depth for the Analysis of Earth Surface Temperatures, New Trends in Functional Statistics and Related Fields, IWFOS 2025 Contributions to Statistics, Springer, Cham. https://doi.org/10.1007/978-3-031-92383-8_15
  • Michele Cavazzutti, Eleonora Arnone, Federico Ferraccioli, Livio Finos, Laura M Sangalli, 2025. Efficient Parametric Tests in Semiparametric Regression with Differential Regularization. Scientific Meeting of the Italian Statistical Society, Springer Nature Switzerland, 366-372, https://doi.org/10.1007/978-3-031-64431-3_61
  • Burzacchi A.; Landrò M.; Vantini S., 2025, Monitoring road infrastructure from satellite images in Greater Maputo, Statistical Methods and Applications, 34 (1), pp. 69 - 90. https://doi.org/10.1007/s10260-024-00772-y
  • Patanè G., Bortolotti T., Yordanov V., Biagi L.G.A., Brovelli M.A., Truong X.Q., Vantini S., 2025 An interpretable and transferable model for shallow landslides detachment combining spatial Poisson point processes and generalized additive models, Stochastic Environmental Research and Risk Assessment, 39 (4), art. no. 104396, pp. 1723 – 1740, https://doi.org/10.1007/s00477-025-02943-z
  • Caldera, L., Cavinato, L., Cappozzo, A., Cama, I., Garbarino, S., Cirone, A., Lodi, R., Tagliavini, F., Nigri, A., De Francesco, S., Ieva, 2025. F.. DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation, International Workshop on Machine Learning in Clinical Neuroimaging (pp. 102-112). Springer, Cham. https://doi.org/10.1007/978-3-031-78761-4_10
  • Cavinato, L., Ferrara, L., Pegoraro, M., Erba, P. A., Ieva, F., 2025 Topological Data Analysis Applied to Radiomics (topiomics) Data in Recurrent Prostate Cancer, The Scientific Meeting of the Italian Statistical Society (pp. 379-385). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-64431-3_63
  • De Sanctis, M.F., Di Battista, I., Arnone, E., Castiglione, C., Bernardi, M., Ieva, F., Sangalli, L.M., 2025. Estimating Multiple Quantile Surfaces: A Penalized Functional Approach. New Trends in Functional Statistics and Related Fields, Springer, Cham: 151-158, https://doi.org/10.1007/978-3-031-92383-8_19
  • De Sanctis, M.F., Di Battista, I., Arnone, E., Castiglione, C., Palummo, A., Bernardi, M., Ieva, F., Sangalli, L.M., 2025. Exploring nitrogen dioxide spatial concentration via physics-informed multiple quantile regression, Environmental and Ecological Statistics: 1-38, https://doi.org/10.1007/s10651-025-00664-8
  • Ieva, F., Fontana, N., Pivato, C.A., Di Angelantonio, E., Secch,i P., 2025, Enhancing Causal Inference in Functional Data: a Method for Estimating Time-Varying Causal Treatment Effects. New Trends in Functional Statistics and Related Fields. IWFOS 2025. Contributions to Statistics. Springer Cham. http://dx.doi.org/10.1007/978-3-031-92383-8_35
  • Fontana, N., Secchi, P., Pivato, C.A., Di Angelantonio, E., Ieva, F., 2025, Fostering Drug Repurposing Using Observational Data by Integrating Functional Data Analysis and Causal Inference, 2025 Statistics for Innovation III. SIS 2025. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-95995-0 _42
  • Torri, V., Boonstra, M. J., van de Veerdonk, M. C., Kalkman, D. N., Uijl, A., Ieva, F., Abu-Hanna, A., Asselbergs, F. W., Calixto, I., 2025. Interpretable phenotyping of Heart Failure patients with Dutch discharge letters, Preprint, https://arxiv.org/abs/2505.24619
  • Torri, V., Bottelli, A., Ercolanoni, M., Leoni, O., Ieva, F., 2025. NLP-based assessment of prescription appropriateness from Italian referrals, Preprint. https://arxiv.org/abs/2501.14701
  • Ivan Fumagalli, 2025, Discontinuous Galerkin method for a three-dimensional coupled fluid-poroelastic model with applications to brain fluid mechanics, Mathematics in Engineering, 7 (2): 130-161, https://doi.org/10.3934/mine.2025006
  • Ferro, A., Marazzina, D., Stocco, D.,2025  Uncovering ESG Ratings: The (Im)Balance of Aspirational and Performance Features, Corporate Social Responsibility and Environmental Management, https://doi.org/10.1002/csr.70007
  • Gatti F, de Falco C., Fois M, Formaggia L, 2025, A scalable well-balanced Taylor-Galerkin scheme for a lava flow depth-integrated model with point source vents, Computers & Mathematics with Applications, 184, 153-167, https://doi.org/10.1016/j.camwa.2025.02.014