{"id":91,"date":"2023-02-10T10:14:34","date_gmt":"2023-02-10T10:14:34","guid":{"rendered":"https:\/\/perotto.faculty.polimi.it\/?page_id=91"},"modified":"2023-02-12T22:13:38","modified_gmt":"2023-02-12T22:13:38","slug":"research-publications","status":"publish","type":"page","link":"https:\/\/perotto.faculty.polimi.it\/?page_id=91","title":{"rendered":"Research & Publications"},"content":{"rendered":"\t\t
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Research<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  • Anisotropic mesh adaptation<\/strong>
    \u2212 P. Africa, C. De Falco, N. Ferro, L. Formaggia, S. Micheletti (Politecnico di Milano);
    \u2212 G. Alaimo, M. Carraturo, S. Marconi (Universit\u00e0 degli Studi di Pavia);
    \u2212 S. Beretta, S. Foletti, M. Gavazzoni (Politecnico di Milano);
    \u2212 A. Cangiani (University of Nottingham);
    \u2212 C. Ciancarelli, L. Soli (Thales Alenia Space Italia, Gorgonzola – Roma);
    \u2212 F. Clerici (Inria Saclay \u00cele-De-France);
    \u2212 M. Giacomini (CIMNE, Universitat Polit\u00e8cnica de Catalunya, Barcelona);
    \u2212 M. Lupo Pasini (Oak Ridge National Laboratory);
    \u2212 A. Mauri (Micron Technology);
    \u2212 C. Nardoni (Institut de Recherche Technologique SystemX);
    \u2212 E. Negrello (Policlinico San Matteo di Pavia);
    \u2212 T. Villa (Politecnico di Milano).<\/li>
  • Model reduction and model adaptation<\/strong>
    \u2212 F. Ballarin, G. Rozza (SISSA, Trieste);
    \u2212 M.G. Carlino, A. Iollo (University of Bordeaux, Inria Bordeaux Sud-Ouest);
    \u2212 M. Lupo Pasini (Oak Ridge National Laboratory);
    \u2212 K. Cal\u00f2, D. Gallo, V. Mazzi, U. Morbiducci (Politecnico di Torino);
    \u2212 P. Zunino (Politecnico di Milano).<\/li>
  • Advanced numerical methods and mathematical models for smart farming<\/strong>
    \u2212 L. Bascetta, M. Matteucci (Politecnico di Milano);
    \u2212 C. Ciancarelli, L. Soli (Thales Alenia Space Italia, Gorgonzola – Roma);
    \u2212 N. Ferro (Politecnico di Milano).<\/li>
  • Advanced techniques for the design of innovative cellular materials<\/strong>
    \u2212 D. Bianchi, R. Ferrante, M. Mannisi (Medere S.r.l, Roma);
    \u2212 D. Carbonaro, C. Ciastra, D. Gallo, U. Morbiducci (Politecnico di Torino);
    \u2212 N. Ferro (Politecnico di Milano);
    \u2212 S. Foletti, M. Gavazzoni (Politecnico di Milano);
    \u2212 M. Matteucci (Politecnico di Milano);
    \u2212 F. Mezzadri (Universit\u00e0 degli Studi di Modena e Reggio Emilia).<\/li>
  • Modeling of free-surface flows and of solute transport in porous media<\/strong>
    \u2212 G. Conni (KU Leuven);
    \u2212 M. Icardi (University of Nottingham);
    \u2212 G.M. Porta (Politecnico di Milano);
    \u2212 S. Piccardo (CERMICS, Paris – LaC\u00e0N Universitat Polit\u00e8cnica de Catalunya, Barcelona).<\/li>
  • Statistical-numerical analysis of high dimensional functional data<\/strong>
    \u2212 L. Sangalli (Politecnico di Milano).<\/li>
  • Compressed sensing<\/strong>
    \u2212 S. Brugiapaglia (Concordia University, Montr\u00e9al);
    \u2212 S. Micheletti (Politecnico di Milano);
    \u2212 F. Nobile (EPFL, Lausanne).<\/li>
  • Bayesian computing<\/strong>
    \u2212 D. Calvetti, E. Somersalo, A. Bocchinfuso (Case Western Reserve University, Cleveland).<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    Visiting Periods<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    • Muenster University<\/strong>, Germany (3 \u2013 5 November, 2009).<\/li>
    • Emory University<\/strong>, Atlanta, USA (14 \u2013 23 February, 2012).<\/li>
    • CEMEF\/Ecole des Mines de Paris<\/strong>, Sophia Antipolis, France (20 \u2013 22 September, 2014).<\/li>
    • EPFL<\/strong>, Lausanne, Switzerland (6 \u2013 7 November, 2014).<\/li>
    • WIAS<\/strong>, Berlin, Germany (2 \u20135 March, 2015).<\/li>
    • Emory University<\/strong>, Atlanta, USA (20 \u2013 30 November, 2015).<\/li>
    • BCAM<\/strong>, Bilbao, Spain (22 \u2013 25 February, 2016).<\/li>
    • Ecole Centrale de Nantes<\/strong>, France (2 \u2013 3 March, 2016).<\/li>
    • Emory University<\/strong>, Atlanta, USA (29 April \u2013 6 May, 2016).<\/li>
    • Emory University<\/strong>, Atlanta, USA (24 November \u2013 9 December, 2016).<\/li>
    • UPC<\/strong>, Barcelona, Spain (8 \u2013 9 February, 2017).<\/li>
    • Emory<\/strong> University, Atlanta, USA (20 February \u2013 3 March, 2017).<\/li>
    • SISSA<\/strong>, Trieste, Italy (19 \u2013 21 July, 2017).<\/li>
    • Emory University<\/strong>, Atlanta, USA (31 August \u2013 12 September, 2017).<\/li>
    • Emory University<\/strong>, Atlanta, USA (15 January \u2013 10 May, 2018).<\/li>
    • Virginia Tech<\/strong>, Blacksburg, USA (4 \u2013 6 November, 2019).<\/li>
    • Case Western Reserve University<\/strong>, Cleveland, USA (7 \u2013 9 November, 2019).<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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      Publications<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      Peer-Reviewd Journals<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      1. C. Dagnino, S. Perotto, E. Santi. Convergence of rules based on nodal splines for the numerical evaluation of
        certain 2D Cauchy principal value integrals.<\/b> J. Comput. Appl. Math.<\/em>, 89 (1998), no.2, 225-235.<\/li>
      2. M. Grasselli, S. Perotto, F. Saleri. Space-time finite elements for Boussinesq equations.<\/b> East-West J. Numer. Math.<\/em>, 7 (1999), no.4, 283-306.<\/li>
      3. S. Perotto, F. Saleri. Adaptive finite element methods for Boussinesq equations.<\/b> Numer. Methods Partial Differential Equations<\/em>, 16 (2000), no.2, 214-236.<\/li>
      4. L. Formaggia, S. Perotto. New anisotropic a priori error estimates.<\/b> Numer. Math.<\/em>, 89 (2001), 641-667.<\/li>
      5. L. Formaggia, S. Perotto, P. Zunino. An anisotropic a-posteriori error estimate for a convection-diffusion problem.<\/b> Comput. Visual. Sci.<\/em>, 4 (2001), no.2, 99-104.<\/li>
      6. L. Formaggia, S. Perotto. Anisotropic error estimates for elliptic problems. <\/b>Numer. Math.<\/em>, 94 (2003), 67-92.<\/li>
      7. S. Micheletti, S. Perotto, M. Picasso. Stabilized finite elements on anisotropic meshes: a priori error estimates for the advection-diffusion and the Stokes problems.<\/b> SIAM J. Numer. Anal.<\/em>, 41 (2003), no.3, 1131-1162.<\/li>
      8. L. Formaggia, S. Micheletti, S. Perotto. Anisotropic mesh adaptation in Computational Fluid Dynamics: application to the advection-diffusion-reaction and the Stokes problems.<\/b> Appl. Numer. Math.<\/em>, 51 (2004), no.4, 511-533.<\/li>
      9. S. Perotto. Anisotropic mesh adaption: application to Computational Fluid Dynamics.<\/b> Bollettino dell’Unione Matematica Italiana, Sezione B-Articoli di Ricerca Matematica<\/em>, 8-B (2005), 145-165, Zanichelli Editore S.p.A.<\/li>
      10. E. Miglio, S. Perotto, F. Saleri. Model coupling techniques for free-surface flow problems. Part I.<\/b> Nonlinear Anal.<\/em>, 63 (2005), no.5-7, 1885-1896.<\/li>
      11. E. Miglio, S. Perotto, F. Saleri. Model coupling techniques for free-surface flow problems. Part II.<\/b> Nonlinear Anal.<\/em>, 63 (2005), no.5-7, 1897-1908.<\/li>
      12. S. Micheletti, S. Perotto. Reliability and efficiency of an anisotropic Zienkiewicz-Zhu error estimator.<\/b> Comput. Methods Appl. Mech. Engrg.<\/em>, 195 (2006), no.9-12, 799-835.<\/li>
      13. C.L. Bottasso, G. Maisano, S. Micheletti, S. Perotto. On some new recovery based a posteriori error estimators.<\/b> Comput. Methods Appl. Mech. Engrg.<\/em>, 195 (2006), no.37-40, 4794-4815.<\/li>
      14. S. Perotto. Adaptive modeling for free-surface flows.<\/b> M2AN Math. Model. Numer. Anal.<\/em>, 40 (2006), no.3, 469-499.<\/li>
      15. S. Micheletti, S. Perotto, M. Verani. Uzawa-based adaptive methods for linear output functionals.<\/b> IMA J. 7 Numer. Anal.<\/em>, 28 (2008), no.3, 619-646.<\/li>
      16. L. Ded\u00e8, S. Micheletti, S. Perotto. Anisotropic error control for environmental applications.<\/b> Appl. Numer. Math.<\/em>, 58 (2008), no.9, 1320-1339.<\/li>
      17. S. Micheletti, S. Perotto. Output functional control for nonlinear equations driven by anisotropic mesh adaption.<\/b> The Navier-Stokes equations. SIAM J. Sci. Comput.<\/em>, 30 (2008), no.6, 2817-2854.<\/li>
      18. S. Micheletti, S. Perotto. Anisotropic mesh adaption for time-dependent problems.<\/b> Internat. J. Numer. Methods Fluids<\/em>, 58 (2008), 1009-1015.<\/li>
      19. S. Micheletti, S. Perotto. Space-time adaptation for purely diffusive problems in an anisotropic framework.<\/b> Int. J. Numer. Anal. Model.<\/em>, 7 (2010), no.1, 125-155.<\/li>
      20. S. Perotto, A. Ern, A. Veneziani. Hierarchical local model reduction for elliptic problems: a domain decomposition approach.<\/b> Multiscale Model. Simul.<\/em>, 8 (2010), no.4, 1102-1127.<\/li>
      21. P.E. Farrell, S. Micheletti, S. Perotto. A recovery-based error estimator for anisotropic mesh adaptation in CFD.<\/b> Bol. Soc. Esp. Mat. Apl.<\/em>, 50 (2010), 115-138.<\/li>
      22. P.E. Farrell, S. Micheletti, S. Perotto. An anisotropic Zienkiewicz-Zhu type error estimator for 3D applications.<\/b> Int. J. Numer. Methods Engng<\/em>, 85 (2011), 671-692.<\/li>
      23. M. Lefebvre, S. Perotto. A semi-Markov process with an inverse Gaussian distribution as sojourn time.<\/b> Appl. Math. Model.<\/em>, 35 (2011), 4603-4610.<\/li>
      24. S. Micheletti, S. Perotto. The effect of anisotropic mesh adaptation on PDE-constrained optimal control problems.<\/b> SIAM J. Control. Optim.<\/em>, 49 (2011), no.4, 1793-1828.<\/li>
      25. G.M. Porta, S. Perotto, F. Ballio. Anisotropic mesh adaptation driven by a recovery-based error estimator for shallow water flow modeling.<\/b> Internat. J. Numer. Methods Fluids<\/em>, 70 (2012), no.3, 269-299.<\/li>
      26. G.M. Porta, S. Perotto, F. Ballio. A space-time adaptation scheme for unsteady shallow water problems.<\/b> Math. Comput. Simulation<\/em>, 82 (2012), 2929-2950.<\/li>
      27. S. Micheletti, S. Perotto, F. David. Model adaptation enriched with an anisotropic mesh spacing for nonlinear equations: application to environmental and CFD problems.<\/b> Numer. Math. Theor. Meth. Appl.<\/em>, 6 (2013), no. 3, 447-478.<\/li>
      28. S. Perotto, A. Veneziani. Coupled model and grid adaptivity in hierarchical reduction of elliptic problems.<\/b> J. Sci. Comput.<\/em>, 60 (2014), no. 3, 505-536.<\/li>
      29. F. Dassi, S. Perotto, L. Formaggia, P. Ruffo. Efficient geometric reconstruction of complex geological structures.<\/b> Math. Comput. Simulation<\/em>, 106 (2014), 163-184.<\/li>
      30. T. Taddei, S. Perotto, A. Quarteroni. Reduced basis techniques for nonlinear conservation laws.<\/b> M2AN Math. Model. Numer. Anal.<\/em>, 49 (2015), no. 3, 787-814.<\/li>
      31. F. Dassi, B. Ettinger, S. Perotto, L.M. Sangalli. A mesh simplification strategy for a spatial regression analysis over the cortical surface of the brain.<\/b> Appl. Numer. Math.<\/em>, 90 (2015), 111-131.<\/li>
      32. B. Esfandiar, G.M. Porta, S. Perotto, A. Guadagnini. Impact of space-time mesh adaptation on solute transport modeling in porous media.<\/b> Water Resour. Res.<\/em>, 51 (2015), no. 2, 1315-1332.<\/li>
      33. M. Artina, M. Fornasier, S. Micheletti, S. Perotto. Anisotropic mesh adaptation for crack detection in brittle materials.<\/b> SIAM J. Sci. Comput.<\/em>, 37 (2015), no. 4, B633-B659.<\/li>
      34. S. Brugiapaglia, S. Micheletti, S. Perotto. Compressed solving: a numerical approximation technique for elliptic PDEs based on compressed sensing.<\/b> Comput. Math. Appl.<\/em>, 70 (2015), 1306-1335.<\/li>
      35. F. Dassi, S. Perotto, L. Formaggia. A priori anisotropic mesh adaptation on implicitly defined surfaces.<\/b> SIAM J. Sci. Comput.<\/em>, 37 (2015), no. 6, A2758-A2782.<\/li>
      36. S. Perotto, A. Zilio. Space-time adaptive hierarchical model reduction for parabolic equations.<\/b> Adv. Model. and Simul. in Eng. Sci.<\/em>, 2:25 (2015).<\/li>
      37. B. Ettinger, S. Perotto, L.M. Sangalli. Spatial regression models over two-dimensional manifolds.<\/b> Biometrika<\/em>, 103 (2016), no. 1, 71-88.<\/li>
      38. S. Perotto, A. Reali, P. Rusconi, A. Veneziani. HIGAMod: a Hierarchical IsoGeometric Approach for MODel reduction in curved pipes.<\/b> Comput. & Fluids<\/em>, 142 (2017), 21-29.<\/li>
      39. M. Signorini, S. Micheletti, S. Perotto. CMFWI: Coupled Multiscenario Full Waveform.<\/b> Inverse Probl. Sci. Eng.<\/em>, 25 (2017), no. 7, 939-964.<\/li>
      40. F. Dassi, S. Perotto, H. Si, T. Streckenbach. A priori anisotropic mesh adaptation driven by a higher 8-dimensional embedding.<\/b> Comput.-Aided Des<\/em>, 85 (2017), 111-122.<\/li>
      41. A. Crivellaro, S. Perotto, S. Zonca. Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques.<\/b> Appl. Numer. Math.<\/em>, 113 (2017), 93-108.<\/li>
      42. S. Brugiapaglia, F. Nobile, S. Micheletti, S. Perotto. A theoretical study of compressed solving for advection-diffusion-reaction problems.<\/b> Math. Comp.<\/em>, 87 (2018), no. 309, 1-38.<\/li>
      43. C.B. Rizzo, F.P.J. de Barros, S. Perotto, L. Oldani, A. Guadagnini. Adaptive POD model reduction for solute transport in heterogeneous porous media.<\/b> Comput. Geosci.<\/em>, 22 (2018), no. 1, 297-308.<\/li>
      44. S. Micheletti, S. Perotto, M. Signorini. Anisotropic mesh adaptation for the generalized Ambrosio-Tortorelli functional with application to brittle fracture.<\/b> Comput. Math. Appl.<\/em>, 75 (2018), 2134-2152.<\/li>
      45. E. Beretta, S. Micheletti, S. Perotto, M. Santacesaria. Reconstruction of a piecewise constant conductivity on a polygonal partition via shape optimization in EIT.<\/b> J. Comput. Phys.<\/em>, 353 (2018), 264-280.<\/li>
      46. S. Guzzetti, S. Perotto, A. Veneziani. Hierarchical model reduction for incompressible fluids in pipes.<\/b> Internat. J. Numer. Methods Engrg.<\/em>, 114 (2018), no. 5, 469-500.<\/li>
      47. M. Aletti, S. Perotto, A. Veneziani. HiMod reduction of advection-diffusion-reaction problems with general boundary conditions.<\/b> J. Sci. Comput.<\/em>, 76 (2018), no. 1, 89-119.<\/li>
      48. N. Ferro, S. Micheletti, S. Perotto. Anisotropic mesh adaptation for crack propagation induced by a thermal shock in 2D.<\/b> Comput. Methods Appl. Mech. Engrg.<\/em>, 331 (2018), 138-158.<\/li>
      49. V. Bacchelli, S. Micheletti, S. Perotto, D. Pierotti. Parameter identification for the linear wave equation with Robin boundary condition.<\/b> J. Inverse Ill-Posed Probl.<\/em>, 27 (2019), no. 1, 25-41.<\/li>
      50. F. Ballarin, A. D’Amario, S. Perotto, G. Rozza. A POD-selective inverse distance weighting method for fast parametrized shape morphing.<\/b> Internat. J. Numer. Methods Engrg.<\/em>, 117 (2019), no. 8, 860-884.<\/li>
      51. N. Ferro, S. Micheletti, S. Perotto. POD-assisted strategies for structural topology optimization.<\/b> Comput. Math. Appl.<\/em>, 77 (2019), no. 10, 2804-2820.<\/li>
      52. S. Micheletti, S. Perotto, L. Soli. Topology optimization driven by anisotropic mesh adaptation: towards a free-form design.<\/b> Comput. & Structures<\/em>, 214 (2019), 60-72.<\/li>
      53. A.S. Chiappa, S. Micheletti, R. Peli, S. Perotto. Mesh adaptation-aided image segmentation. Commun. Nonlinear Sci. Numer.<\/b> Simulat<\/em>. 74 (2019), 147-166.<\/li>
      54. Y.A. Brandes Costa Barbosa, S. Perotto. Hierarchically reduced models for the Stokes problem in patientspecific artery segments.<\/b> Int. J. Comput. Fluid Dyn.<\/em> 34 (2020), no. 2, 160-171.<\/li>
      55. N. Ferro, S. Micheletti, S. Perotto. Compliance\u2013stress constrained mass minimization for topology optimization on anisotropic meshes.<\/b> SN Applied Sciences <\/em>2: 1196 (2020).<\/li>
      56. N. Ferro, S. Micheletti, S. Perotto. An optimization algorithm for automatic structural design.<\/b> Comput. Methods Appl. Mech. Engrg.<\/em> 372 (2020), 113335.<\/li>
      57. A. Barone, M.G. Carlino, A. Gizzi, S. Perotto, A. Veneziani. Efficient estimation of cardiac conductivities: a Proper Generalized Decomposition approach.<\/b> J. Comput. Phys.<\/em> 423 (2020), 109810.<\/li>
      58. D. Calvetti, A. Cosmo, S. Perotto, E. Somersalo. Bayesian mesh adaptation for estimating distributed parameters.<\/b> SIAM J. Sci. Comput.<\/em> 42 (2020), no. 6, A3878-A3906.<\/li>
      59. F. Clerici, N. Ferro, S. Marconi, S. Micheletti, E. Negrello, S. Perotto. Anisotropic adapted meshes for image segmentation: application to 3D medical data.<\/b> SIAM J. Imaging Sci.<\/em> 13 (2020), no. 4, 2189-2212.<\/li>
      60. S. Almi, S. Belz, S. Micheletti, S. Perotto. A dimension-reduction model for brittle fractures on thin shells with mesh adaptivity.<\/b> Math. Models Methods Appl. Sci.<\/em> 31 (2021), no. 1, 37-81.<\/li>
      61. M. Zancanaro, F. Ballarin, S. Perotto, G. Rozza. Hierarchical model reduction techniques for flow modeling in a parametrized setting. Multiscale Model.<\/b> Simul.<\/em> 19 (2021), no. 1, 267-293.<\/li>
      62. S. Brugiapaglia, F. Nobile, S. Micheletti, S. Perotto. Wavelet-Fourier CORSING techniques for multidimensional advection-diffusion-reaction equations.<\/b> IMA J. Numer. Anal.<\/em> 41 (2021), 2744-2781.<\/li>
      63. M. Lupo Pasini, V. Gabbi, J. Yin, S. Perotto, N. Laanait. Scalable balanced training of conditional generative adversarial neural networks on image data.<\/span><\/b> J. Supercomput.<\/em> 77 (2021), no. 11, 13358-13384.<\/span><\/li>
      64. A. Pasquale, A. Ammar, A. Falc\u00f3, S. Perotto, E. Cueto, J.-L. Duval, F. Chinesta. A separated representation involving multiple time scales within the Proper Generalized Decomposition framework. <\/b>Adv. Model. and Simul. in Eng<\/em>. Sci.<\/em>, 8:26 (2021).<\/li>
      65. F. Dassi, J.M. Kroos, L. Gerardo-Giorda, S. Perotto. A denoising tool for the reconstruction of cortical 9 geometries from MRI. Math.<\/b> Comput. Simulation<\/em> 191 (2022), 14-32.<\/li>
      66. N. Ferro, S. Perotto, A. Cangiani. An anisotropic recovery-based error estimator for adaptive discontinuous Galerkin methods.<\/b> J. Sci. Comput.<\/em> 90: 45 (2022).<\/li>
      67. M. Lupo Pasini, S. Perotto. Hierarchical model reduction driven by a Proper Orthogonal Decomposition for parametrized advection-diffusion-reaction problems.<\/b> Electron. Trans. Numer. Anal.<\/em> 55 (2022), 187-212.<\/li>
      68. G.G. Gentili, M. Khosronejad, G. Bernasconi, S. Perotto, S. Micheletti. Efficient modeling of multimode guided acoustic wave propagation in deformed pipelines by hierarchical model reduction.<\/b> Appl. Numer. Math.<\/em> 173 (2022), 329-344.<\/li>
      69. N. Ferro, S. Perotto, D. Bianchi, R. Ferrante, M. Mannisi. Design of cellular materials for multiscale topology optimization: application to patient-specific orthopaedic devices.<\/b> Struct.<\/em> Multidiscip. Optim. 65:79 (2022).<\/li>
      70. M. Gavazzoni, N. Ferro, S. Perotto, S. Foletti. Multi-physics inverse homogenization for the design of innovative cellular materials: application to thermo-elastic problems.<\/b> Math.<\/em> Comput. Appl. 27:15 (2022).<\/li>
      71. F. Vaccaro, S. Brivio, S. Perotto, A.G. Mauri, S. Spiga. Physics-based compact modelling of the analog dynamics of HfOx resistive memories. <\/b>In press on Neuromorph<\/em>.<\/b> Comput. Eng.<\/em><\/li>
      72. M. Giacomini, S. Perotto. Anisotropic mesh adaptation for region-based segmentation accounting for image spatial information.<\/b> Accepted for publication in Comput. Math. Appl.<\/em> (2022).<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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        1. L. Ponti, S. Perotto, L.M. Sangalli. PDE-regularized smoothing method for space-time data over manifolds
          with application to medical data.<\/b> MOX Report no. 76\/2021, Dipartimento di Matematica, Politecnico di Milano.<\/li>
        2. M. Lupo Pasini, S. Perotto. Hierarchical model reduction driven by machine learning for parametric advection-diffusion-reaction problems in the presence of noisy data.<\/b> MOX Report no. 19\/2022, Dipartimento di Matematica, Politecnico di Milano (arXiv:2204.00538).<\/li>
        3. S. Perotto, G. Bellini, F. Ballarin, K. Cal\u00f2, V. Mazzi, U. Morbiducci. Isogeometric Hierarchical Model Reduction for advection-diffusion process simulation in microchannels. <\/b>MOX Report no. 35\/2022, Dipartimento di Matematica, Politecnico di Milano (arXiv:2205.08127).<\/li>
        4. N. Ferro, S. Perotto, M. Gavazzoni. A new fluid-based strategy for the connection of non-matching lattice materials.<\/b> MOX Report no. 39\/2022, Dipartimento di Matematica, Politecnico di Milano (arXiv:2206.00994).<\/li>
        5. F. Gatti, M. Fois, C. de Falco, S. Perotto, L. Formaggia. Parallel simulations for fast-moving landslides: space-time mesh adaptation and sharp tracking of the wetting front.<\/b> MOX Report no. 42\/2022, Dipartimento di Matematica, Politecnico di Milano.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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          1. C. Dagnino, S. Perotto, E. Santi. Product formulas based on spline approximation for the numerical evaluation of certain 2D CPV integrals.<\/strong> In Approximation and Optimization<\/em>, Vol. I, Transilvania, Cluj-Napoca (1997), 241-250.<\/li>
          2. S. Micheletti, S. Perotto. An anisotropic recovery-based a posteriori error estimator.<\/strong> In Numerical Mathematics and Advanced Applications<\/em>, Springer-Verlag Italia, F. Brezzi, A. Buffa, S. Corsaro, A. Murli Eds. (2003), 731-741.<\/li>
          3. E. Miglio, S. Perotto, F. Saleri. A multiphysics strategy for free surface flows. <\/strong>In Domain Decomposition Methods in Science and Engineering.<\/em> Series: Lect. Notes Comput. Sci. Eng., Vol. 40, Springer-Verlag Berlin Heidelberg, R. Kornhuber, R. Hoppe, J. P\u00e9riaux, O. Pironneau, O. Widlund, J. Xu Eds. (2005), 395-402.<\/li>
          4. S. Micheletti, S. Perotto. Anisotropic mesh adaptivity in CFD. <\/strong>In Adaptive Mesh Refinement-Theory and Applications.<\/em> Series: Lect. Notes Comput. Sci. Eng., Vol. 41, Springer Berlin Heidelberg, T. Plewa, T. Linde, V.G. Weirs Eds. (2005), 171-182.<\/li>
          5. S. Micheletti, S. Perotto, F. Schiavo. Modelling heat exchangers by the finite element method with grid adaption in Modelica.<\/strong> In Proceedings of the 4th International Modelica Conference<\/em>, Amburgo, March 7-8, 2005; 10 G.Schmitz Ed. (2005), 219-228.<\/li>
          6. S. Micheletti, S. Perotto. Anisotropic mesh adaptivity via a dual-based a posteriori error estimation for semiconductors.<\/strong> In Scientific Computing in Electrical Engineering.<\/em> Series: Mathematics in Industry, Vol. 9, Springer-Verlag Berlin Heidelberg, A.M. Anile, G. Al\u00ec, G. Mascali Eds. (2006), 369-375.<\/li>
          7. S. Micheletti, S. Perotto. Space-time adaption for advection-diffusion-reaction problems on anisotropic meshes.<\/strong> In Numerical Mathematics and Advanced Applications<\/em>, Springer-Verlag Berlin Heidelberg, K. Kunisch, G. Of, O. Steinbach Eds. (2008), 49-56.<\/li>
          8. A. Ern, S. Perotto, A. Veneziani. Hierarchical model reduction for advection-diffusion-reaction problems.<\/strong> In Numerical Mathematics and Advanced Applications<\/em>, Springer-Verlag Berlin Heidelberg, K. Kunisch, G. Of, O. Steinbach Eds. (2008), 703-710.<\/li>
          9. S. Micheletti, S. Perotto. Anisotropic adaptation via a Zienkiewicz-Zhu error estimator for 2D elliptic problems.<\/strong> In Numerical Mathematics and Advanced Applications<\/em>, Springer-Verlag Berlin Heidelberg, G. Kreiss, P. Lotstedt, A. Malqvist, M. Neytcheva Eds. (2010), 645-653.<\/li>
          10. S. Micheletti, S. Perotto. Anisotropic recovery-based a posteriori error estimators for advection-diffusionreaction problems.<\/strong> In Numerical Mathematics and Advanced Applications<\/em>, Springer-Verlag, Berlin Heidelberg, A. Cangiani, R.L. Davidchack, E. Georgoulis, A.N. Gorban, J. Levesley, M.V. Tretyakov Eds. (2013), 43-51.<\/li>
          11. S. Perotto, A. Zilio. Hierarchical model reduction: three different approaches.<\/strong> In Numerical Mathematics and Advanced Applications<\/em>, Springer-Verlag Berlin Heidelberg, A. Cangiani, R.L. Davidchack, E. Georgoulis, A.N. Gorban, J. Levesley, M.V. Tretyakov Eds. (2013), 851-859.<\/li>
          12. L. Mauri, S. Perotto, A. Veneziani. Adaptive geometrical multiscale modeling for hydrodynamic problems.<\/strong> In Numerical Mathematics and Advanced Applications<\/em>, Springer-Verlag Berlin Heidelberg, A. Cangiani, R.L. Davidchack, E. Georgoulis, A.N. Gorban, J. Levesley, M.V. Tretyakov Eds. (2013), 723-730.<\/li>
          13. S. Perotto. Hierarchical model (Hi-Mod) reduction in non-rectilinear domains.<\/strong> In Domain Decomposition Methods in Science and Engineering.<\/em> Series: Lect. Notes Comput. Sci. Eng., Vol. 98, Springer Cham, J. Erhel, M. Gander, L. Halpern, G. Pichot, T. Sassi, O. Widlund Eds. (2014), 477-485.<\/li>
          14. M. Artina, M. Fornasier, S. Micheletti, S. Perotto. Anisotropic adaptive meshes for brittle fractures: parameter sensitivity.<\/strong> In Numerical Mathematics and Advanced Applications.<\/em> Series: Lect. Notes Comput. Sci. Eng., Vol. 103, Springer, A. Abdulle, S. Deparis, D. Kressner, F. Nobile, M. Picasso Eds. (2015), 293-302.<\/li>
          15. M. Aletti, A. Bortolossi, S. Perotto, A. Veneziani. One-dimensional surrogate models for advection-diffusion problems.<\/strong> In Numerical Mathematics and Advanced Applications.<\/em> Series: Lect. Notes Comput. Sci. Eng<\/em>., Vol. 103, Springer, A. Abdulle, S. Deparis, D. Kressner, F. Nobile, M. Picasso Eds. (2015), 447-456.<\/li>
          16. M. Fedele, E. Faggiano, L. Barbarotta, F. Cremonesi, L. Formaggia, S. Perotto. Semi-automatic three-dimensional vessel segmentation using a connected component localization of the region-scalable fitting energy.<\/strong> IEEE<\/em> (2015), 72-77, 9th International Symposium on Image and Signal Processing and Analysis (ISPA).<\/li>
          17. F. Dassi, H. Si, S. Perotto, T. Streckenbach. Anisotropic finite element mesh adaptation via higher dimensional embedding.<\/strong> Procedia Engineering,<\/em> 124, (2015), 265-277.<\/li>
          18. N. Ferro, S. Micheletti, S. Perotto. Density-based inverse homogenization with anisotropically adapted elements.<\/strong> In Numerical Methods for Flows. FEF 2017 Selected Contributions.<\/em> Series: Lect. Notes Comput. Sci. Eng., Vol. 132, Springer Cham, A. Corsini, S. Perotto, G. Rozza, H. van Brummelen Eds. (2020), 211-221.<\/li>
          19. S. Perotto, M.G. Carlino, F. Ballarin. Model reduction by separation of variables: a comparison between Hierarchical Model Reduction and Proper Generalized Decomposition.<\/strong> In Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018.<\/em> Series: Lect. Notes Comput. Sci. Eng., Vol. 134, Springer Nature Switzerland, S.J. Sherwin, D. Moxey, J. Peir\u00f2, P.E. Vincent, C. Schwab Eds. (2020), 61-77.<\/li>
          20. M. Lupo, M. Burcul, S. Reeve, M. Eisenbach, S. Perotto. Fast and accurate predictions of total energy for solid solution alloys with graph convolutional neural networks.<\/strong> In Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation.<\/em> SMC 2021.<\/em> Series: Communications in Computer and Information Science, Vol. 1512, Springer Nature Switzerland, J. Nichols, A.B. Maccabe, J. Nutaro, S. Pophale, P. Devineni, T. Ahearn, B. Verastegui Eds. (2022), 79-98.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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            Contributed Books<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            1. B. Ettinger, T. Passerini, S. Perotto, L.M. Sangalli. Regression models for data distributed over non-planar 11 domains.<\/strong> In Complex Models and Computational Methods in Statistics.<\/em> Series: Contributions to Statistics,
              Springer, Milano, M. Grigoletto, F. Lisi, S. Petrone Eds. (2013), 123-135.<\/li>
            2. S. Perotto. A survey of hierarchical model (Hi-Mod) reduction methods for elliptic problems.<\/strong> In Numerical Simulations of Coupled Problems in Engineering.<\/em> Series: Computational Methods in Applied Sciences, Vol. 33, Springer, S.R. Idelsohn Ed. (2014), 217-241.<\/li>
            3. M. Artina, M. Fornasier, S. Micheletti, S. Perotto. The benefits of anisotropic mesh adaptation for brittle fractures under plane-strain conditions.<\/strong> In New Challenges in Grid Generation and Adaptivity for Scientific Computing.<\/em> Series: SEMA SIMAI Springer, Vol. 5, Springer Cham, S. Perotto, L. Formaggia Eds. (2015), 43-67.<\/li>
            4. B. Esfandiar, G.M. Porta, S. Perotto, A. Guadagnini. Anisotropic mesh and time step adaptivity for solute transport modeling in porous media.<\/strong> In New Challenges in Grid Generation and Adaptivity for Scientific Computing.<\/em> Series: SEMA SIMAI Springer, Vol. 5, Springer Cham, S. Perotto, L. Formaggia Eds. (2015), 231-260.<\/li>
            5. D. Baroli, C.M. Cova, S. Perotto, L. Sala, A. Veneziani. Hi-POD solution of parametrized fluid dynamics problems: preliminary results.<\/strong> In Model Reduction of Parametrized Systems.<\/em> Series: MS&A Springer, P. Benner, M. Ohlberger, A.T. Patera, G. Rozza, K. Urban Eds. (2017), Chapter 15, 235-254.<\/li>
            6. A.G. Mauri, B. Morini, S. Perotto, F. Sgallari. Grid generation and algebraic solvers.<\/strong> To appear in Springer Handbook of Semiconductor Devices.<\/em> Springer, M. Rudan, R. Brunetti, S. Reggiani Eds. (2021), Chapter 38.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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              Conference Papers<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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              1. S. Perotto. A posteriori error estimates for Boussinesq equations.<\/strong> In Numerical Methods for Fluid Dynamics VI<\/em>. M.J. Baines Ed., Oxford (1998), 451-457. Proceedings of ICFD, Conference on Numerical Methods for
                Fluid Dynamics.<\/li>
              2. S. Perotto. Modelling nonlinear dispersive waves.<\/strong> In Proceedings of WASCOM<\/em> 99, 10th Conference on Waves and Stability in Continuous Media. V. Ciancio, A. Donato, F. Oliveri, S. Rionero Eds., World Scientific, Singapore (2001), 371-381.<\/li>
              3. S. Micheletti, S. Perotto. A theoretical design of the stability coefficients on anisotropic elements.<\/strong> In Proceedings of SIMAI<\/em> 2002, VI Congresso Nazionale della Societ\u00e0 Italiana di Matematica Applicata e Industriale.<\/li>
              4. L. Formaggia, S. Micheletti, S. Perotto. Anisotropic mesh adaption with application to CFD problems.<\/strong> In Proceedings of WCCM V, Fifth World Congress on Computational Mechanics,<\/em> 2002. H.A. Mang, F.G. Rammerstorfer, J. Eberhardsteiner (Eds).<\/li>
              5. L. Formaggia, S. Micheletti, S. Perotto. Anisotropic mesh adaption for advection-diffusion-reaction problems.<\/strong> In Proceedings of IMACS\/ISGG Workshop MASCOT02<\/em>, 2nd Meeting on Applied Scientific Computing and Tools, 2002.<\/li>
              6. E. Miglio, S. Perotto, F. Saleri. Multiphysics coupling strategy for free surface flows.<\/strong> In Proceedings of ADMOS<\/em> 2003, the 1st International Conference on Adaptive Modelling and Simulation. N.E. Wiberg, P. D\u00edez (Eds).<\/li>
              7. E. Miglio, S. Perotto, F. Saleri. A coupling strategy for free surface flows.<\/strong> In Proceedings of ECCOMAS<\/em> 2004, 4th European Congress on Computational Methods in Applied Sciences and Engineering. P. Neittaanm\u00e4ki, T. Rossi, S. Korotov, E. Onate, J. P\u00e9riaux, D. Kn\u00f6rzer (Eds).<\/li>
              8. B. Ettinger, S. Perotto, L.M. Sangalli. Spatial smoothing over non-planar domains.<\/strong> In Proceedings of the 46th Scientific Meeting of the Italian Statistical Society<\/em>, 2012. ISBN 978-88-6129-882-8, Cleup Eds.<\/li>
              9. B. Ettinger, S. Perotto, L.M. Sangalli. Studying hemodynamic forces via spatial regression models over nonplanar domains.<\/strong> In Proceedings of the 47th Scientific Meeting of the Italian Statistical Society<\/em>, 2013. Electronic Book: Advances in Latent Variables-Methods, Models and Applications<\/em>, Eds. E. Brentari, M. Carpita, Vita e Pensiero, Milano. ISBN 978-88-343-2556-8.<\/li>
              10. B. Ettinger, S. Perotto, L.M. Sangalli. A functional data analysis approach to modeling spatially distributed data across several non-planar domains.<\/strong> In Proceedings of S.Co.2013, Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction<\/em>, 2013. ISBN 9788864930190.<\/li>
              11. E. Faggiano, T. Lorenzi, S. Perotto. TV-H1 variational inpainting applied to metal artifact reduction in CT 12 images.<\/strong> In Proceedings of VIPIMAGE<\/em> 2013 – Computational Vision and Medical Image Processing IV<\/em>, Taylor & Francis Group, London. Joao Manuel R. S. Tavares and R. M. Natal Jorge Eds. (2014), Chapter 47, 277-282.<\/li>
              12. D. di Cristofaro, C. Galimberti, D. Bianchi, R. Ferrante, N. Ferro, M. Mannisi, S. Perotto. Adaptive topology optimization for innovative 3D printed metamaterials.<\/strong> In: Proceedings of WCCM \u2013 ECCOMAS<\/em> 2020, Volume 1200 \u2013 Modeling and Analysis of Real World and Industry Applications Conference<\/em> (DOI: 10.23967\/wccm-eccomas.2020.049).<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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                Editorial Activity<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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                1. Member of the editorial board of the Electronic Transactions on Numerical Analysis (ETNA) journal (2018-present);<\/li>
                2. Member of the editorial board of the Mathematical and Computational Applications (MCA) journal (2020- present);<\/li>
                3. Member of the editorial board of the International Journal of Computational Fluid Dynamics (JCFD) journal (2021-present);<\/li>
                4. Editor of the volume New Challenges in Grid Generation and Adaptivity for Scientific Computing<\/em>. Series: SEMA SIMAI Springer, Vol. 5, Springer Cham 2015 (editorship joint with L. Formaggia);<\/li>
                5. Guest editor of the special issue on Model Reduction<\/em>. J. Sci. Comput. 81 (2019), no. 1 (editorship joint with T. Leli\u00e8vre, G. Rozza, D.A. Di Pietro, A. Ern, L. Formaggia);<\/li>
                6. Guest editor of the special issue for the 19th International Conference on Finite Elements in Flow Problems<\/em>, Rome, April 5-7, 2017. Comput. & Fluids 179 (2019) (editorship joint with H. van Brummelen, A. Corsini, G. Rozza);<\/li>
                7. Editor of the volume Numerical Methods for Flows<\/em>. FEF 2017 Selected Contributions. Series: Lect. Notes Comput. Sci. Eng. Vol. 132, Springer Cham 2020 (editorship joint with H. van Brummelen, A. Corsini, G. Rozza);<\/li>
                8. Guest editor of the special issue on Reduced Order Models in CFD<\/em>. Int. J. Comput. Fluid Dyn. 34 (2020), no. 2 (editorship joint with G. Rozza);<\/li>
                9. Editor of the volume Mesh Generation and Adaptation: Cutting-Edge Techniques<\/em>. Series: SEMA SIMAI Springer, Vol. 30, Springer Nature Switzerland AG 2022 (editorship joint with R. Sevilla, K. Morgan);<\/li>
                10. Guest editor of the special issue on Computational Methods for Coupled Problems in Science and Engineering.<\/em> Mathematical and Computational Applications (editorship joint with A. Larese, G. Rozza).<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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                  Research & Publications Research Scientific Interest Anisotropic mesh adaptation\u2212 P. Africa, C. De Falco, N. Ferro, L. Formaggia, S. Micheletti (Politecnico di Milano);\u2212 G. Alaimo, M. Carraturo, S. Marconi (Universit\u00e0 degli Studi di Pavia);\u2212 S. Beretta, S. Foletti, M. Gavazzoni (Politecnico di Milano);\u2212 A. Cangiani (University of Nottingham);\u2212 C. Ciancarelli, L. Soli (Thales Alenia Space […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-91","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/perotto.faculty.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/91","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/perotto.faculty.polimi.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/perotto.faculty.polimi.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/perotto.faculty.polimi.it\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/perotto.faculty.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=91"}],"version-history":[{"count":13,"href":"https:\/\/perotto.faculty.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/91\/revisions"}],"predecessor-version":[{"id":356,"href":"https:\/\/perotto.faculty.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/91\/revisions\/356"}],"wp:attachment":[{"href":"https:\/\/perotto.faculty.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=91"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}