Lecture & Talks

Plenary & Semi-plenary Lectures

Plenary Lectures

  1. Model reduction for anisotropic models governed by parabolic partial differential equations. ADMOS 2011,
    Paris, June 6, 2011.
  2. Recent advances in Hierarchical Model (HiMod) reduction. ADMOS 2015, Nantes, June 10, 2015.
  3. HIerarchical MODel (HI-MOD) reduction: towards haemodynamics applications. MoRePaS 2015, Trieste, October 14, 2015.
  4. Anisotropic mesh adaptation, from the lab to the end-user. IMR26, Barcelona, September 20, 2017.
  5. Isogeometric hierarchical model reduction in haemodynamic modeling. ICOSAHOM 2018, London, July 12, 2018.

Semi-plenary Lectures

  1. TBA. IACM CFC 2023, Cannes, April 25-28, 2023.

Keynote Lectures

  1. Anisotropic mesh adaption driven by a metric based optimization procedure. Tetrahedron Workshop II,
    INRIA, Paris, October 19, 2007.
  2. An a posteriori error estimator for a hierarchical model dimension reduction. WCCM8-ECCOMAS 2008, Venezia, July 2, 2008.
  3. Anisotropic adaptation based on a gradient recovery error estimator. ECCM 2010, Paris, May 19, 2010.
  4. A recovery-based error estimator for mesh adaptation in an anisotropic framework. Tetrahedron Workshop III, Swansea, September 14, 2010.
  5. Adaptive hierarchical model reduction coupled with mesh adaptation. COUPLED PROBLEMS 2013, Ibiza, June 17, 2013.
  6. Anisotropic mesh adaptation: in & out. Tetrahedron IV, Verbania, July 3, 2013.
  7. Hierarchical Model (HiMod) reduction for incompressible fluid dynamics in rigid and deformable pipes. IACM ECCOMAS 2014, Barcelona, July 22, 2014.
  8. Hi-Mod reduction for incompressible flows. FEF 2017, Rome, April 7, 2017.
  9. HiMod and HiPOD in haemodynamic modeling. COUPLED PROBLEMS 2017, Rhodes, June 12, 2017.
  10. HiMOD methods for computational fluid dynamics. Summer School on Reduced Order Methods in Computational Fluid Dynamics, SISSA, Trieste, July 12, 2019.
  11. Advanced techniques for new challenges in structural topology optimization. RAMSES workshop, SISSA, Trieste, December 17, 2021.
  12. TBA. London Mathematical Society Research School on Adaptive Methods and Model Reduction for PDEs, Nottingham, UK, May 24-28, 2023.

Invited Talks

  1. Anisotropic mesh adaption: applications to computational fluid-dynamics. XVII Congresso UMI, Milano, September 11, 2003.
  2. Adaptive modeling for unsteady nonlinear hydrodynamics: a theoretical framework. WCNA 2004, Orlando, July 2, 2004.
  3. An a posteriori modeling error analysis for free surface flows. FoCM05, Santander, July 2, 2005.
  4. A goal-oriented recovery-based anisotropic error estimator for advection diffusion reaction problems. MAFELAP 2006, Brunel University, London, June 4, 2006.
  5. Layer capturing via anisotropic mesh adaption. BAIL 2006, Gottingen, July 25, 2006.
  6. Robustness of an a posteriori error estimator on anisotropic grids. Giornata speciale Seminario di Matematica Applicata, Università di Milano, September 18, 2007.
  7. Anisotropic mesh adaptation in CFD: a metric-based approach in 2D. MINES ParisTech – CEMEF, Sophia Antipolis, November 25, 2008.
  8. Adattazione anisotropa di griglia guidata da una procedura di ottimizzazione locale. Seminario di Modellistica Differenziale Numerica, La Sapienza, Roma, February 17, 2009.
  9. Mesh adaptation driven by a posteriori error estimators in an anisotropic framework. MAFELAP 2009, Brunel University, London, June 9, 2009.
  10. Mesh adaptation driven by a metric-based optimization procedure. ENUMATH 2009, Uppsala, June 29, 2009.
  11. Hierarchical local model reduction for 2D elliptic problems. Westfälische Wilhelms Universität, Münster, November 4, 2009.
  12. Adaptive hierarchical local model reduction. MOX-CCE Workshop, Milano, January 21, 2011.
  13. Anisotropic mesh adaptation as auxiliary tool for PDE-constrained optimal control problems. FEF 2011, Munich, March 23, 2011.
  14. Goal-oriented hierarchical local model reduction with mesh adaptation. USNCCM 11, Minneapolis, July 25, 2011.
  15. Hierarchical model reduction for parabolic problems. ENUMATH 2011, Leicester, September 6, 2011.
  16. The impact of anisotropic mesh adaptation on CFD: a metric based approach. ADAP_CFD12 , WIAS, Berlin, April 25, 2012.
  17. Hierarchical model reduction: a domain decomposition approach. DD XXI, Inria Rennes Bretagne Atlantique, June 25, 2012.
  18. A Zienkiewicz-Zhu-like error estimator driving anisotropic mesh adaptation in 2D and 3D. ECCOMAS 2012, Vienna, September 14, 2012.
  19. Model reduction for parabolic equations in a hierarchical framework. MoRePaS II, Gunzburg, October 3, 2012.
  20. Hierarchical Model (HiMod) reduction for advection-diffusion-reaction problems. ADMOS 2013, Lisbon, June 5, 2013.
  21. Anisotropic mesh adaptation: an effective strategy in CFD. USNCCM12, Raleigh, July 23, 2013.
  22. Recent developments of Hierarchical Model (HiMod) reduction for boundary value problems. ENUMATH 2013, Lausanne, August 26, 2013.
  23. Anisotropic meshes for PDEs: a posteriori error analysis and mesh adaptivity. ICAM 2013, Heraklion, September 17, 2013.
  24. Hi-Mod reduction driven by a POD strategy. ECMI 2014, Taormina, June 11, 2014.
  25. One-dimensional surrogate models generated via a Hi-Mod reduction approach. First Joint International Meeting RSME-SCM-SEMA-SIMAI-UMI, Bilbao, July 1, 2014.
  26. Generazione di modelli surrogati monodimensionali mediante riduzione gerarchica: teoria e pratica. Seminario di Modellistica Differenziale Numerica, La Sapienza, Roma, February 24, 2015.
  27. Adaptive Hierarchical Model (HiMod) reduction for initial boundary value problems. WIAS, Berlino, March 3, 2015.
  28. HiPOD: two POD strategies for a Hierarchical Model reduction. USNCCM13, San Diego, CA, July 29, 2015.
  29. Hierarchical MODel (HiMOD) reduction methods: basics and applications. BCAM Bilbao, February 23, 2016.
  30. Improving PDE approximation via anisotropic mesh adaptation. Emory University, Atlanta, May 6, 2016.
  31. HiPOD: a POD-based hierarchical model reduction for inverse problems. ECCOMAS 2016, Crete, June 8, 2016.
  32. Hierarchical model reduction methods for incompressible fluids: basics, advances, applications. SIMAI 2016, Milano, September 15, 2016.
  33. Hierarchical model reduction: theory and practice. SIAM-CSE17, Atlanta, March 3, 2017.
  34. Riduzione di modello di tipo gerarchico per la fuidodinamica. Department of Electronics, Information and Bioengineering, Politecnico di Milano, July 11, 2017.
  35. HiMod reduction for parameter dependent problems. ADMOS 2017, Verbania, June 27, 2017.
  36. HiMod solvers in haemodynamics. European Workshop on ROMs for Industrial Applications, Turin, October 17, 2017.
  37. Solutori HiMod per l’emodinamica computazionale. Università Campus Bio-Medico di Roma, November 27, 2017.
  38. When the mesh is important. The role of anisotropic mesh adaptation in numerical modeling, from crack propagation to topology optimization. Emory University, February 12, 2018.
  39. Anisotropic mesh adaptation in finite elements: from theory to practice. Georgia Scientific Computing Symposium 2018, Atlanta, February 24, 2018.
  40. Hybrid Methods for ROM II: HiMod and POD. ROM4CVS, Emory University, April 26, 2018.
  41. Mesh adaptation-aided image segmentation. SIAM-IS 18, Bologna, June 7, 2018.
  42. Hierarchical model reduction for parameter-dependent problems. ECCM-ECFD 2018, Glasgow, June 14, 2018.
  43. Ambrosio-Tortorelli approximations for crack propagation and image segmentation modeling with anisotropic mesh adaptation. Laboratori de Càlcul Numèric, UPC, Barcelona, September 12, 2018.
  44. Mesh simplification for a spatial regression analysis over complex surfaces. NuMa 2018, Torino, September 21, 2018.
  45. HiMod discretization for haemodynamic modeling. University of Nottingham, January 30, 2019.
  46. Energy functional minimization combined with an anisotropic mesh adaptation. Seminario di Modellistica Differenziale Numerica, La Sapienza, Roma, February 5, 2019.
  47. Hierarchical solvers for parametric problems. SIAM-CSE19, Spokane, March 1, 2019.
  48. Anisotropic mesh adaptation applied to image segmentation. ADMOS 2019, El Campello, Alicante, May 27, 2019.
  49. HiMod discretizations for parametric problems in CFD. COUPLED 2019, Sitges, June 4, 2019.
  50. Hierarchical model reduction for hemodynamic modeling: towards patient-specific simulations. Virginia Tech, Blacksburg, November 5, 2019.
  51. SIMPATY: a new adaptive tool for structure design. Case Western Reserve University, Cleveland, November 8, 2019.
  52. Topology optimization: a new algorithm based on anisotropic mesh adaptation. Scuola Normale Superiore di Pisa, January 29, 2020.
  53. Problem-specific computational meshes in the design of structures and in the segmentation of images. 2020 Compute and Storage Technology Online Workshop, Huawei Tel Aviv Research Center, December 3, 2020 (online).
  54. SIMPATY algorithm for the design of metamaterials. WCCM-ECCOMAS 2020 Virtual Congress, January 14, 2021 (online).
  55. Topology optimization: from the macro- to the micro-scale. Seminar at the School for Simulation and Data Science Series, RWTH Aachen University, January 18, 2021 (online).
  56. Mathematical modeling for structural topology optimization in engineering applications. Seminar for the Master in Mathematical and Physical Methods for Space Sciences, Università degli Studi di Torino, Italy, February 5, 2021 (online).
  57. Adaptive topology optimization in the design of structures and metamaterials. Weierstrass Institute, Berlin, March 30, 2021 (online).
  58. Mesh adaptation-aided design of metamaterials. 4th Symposium on International Joint Graduate Program in Materials Science and 5th Symposium for the Core Research Clusters for Materials Science and Spintronics, Tohoku University, October 26, 2021 (online).
  59. Design of new structures and materials assisted by Mathematics. Seminar for the Master in Mathematical and Physical Methods for Space Sciences, Università degli Studi di Torino, Italy, February 4, 2022 (online).
  60. Hierarchical model reduction in haemodynamics: advances and challenges. ARIA Online Seminar, March 10, 2022 (online).
  61. POD- and RB-Hierarchical Model reduction techniques in a parametrized setting. Reduced-Order Models at Work. Industry and Medicine, Bordeaux, April 1, 2022 (online).
  62. Design of 3d-printable structures and materials driven by innovative topology optimization techniques. CMS Mathematics Seminar, Leicester, April 7, 2022 (online).
  63. ADAPTA studio. MOX20 – Politecnico di Milano, May 27, 2022.
  64. Design of cellular materials for multiscale topology optimization. ECCOMAS 2022, Oslo, June 5, 2022.
  65. Advanced numerical techniques for industrial applications: structural topology optimization at the macroand at the micro-scale. GNCS Annual Meeting, Montecatini, June 28, 2022.
  66. Hierarchical model reduction: a POD-based strategy to manage geometric bifurcations. WCCM XV –APCOM VIII, Yokohama, July 31- August 5, 2022.
  67. Efficient structural topology optimization driven by POD. IUTAM Symposium on Ultralarge-scale Topology Optimization, Copenhagen, April 24-26, 2023.

Talks

  1. On the convergence of product formulas based on nodal spline interpolation for the numerical evaluation of certain 2D CPV integrals. Conference on Numerical Mathematics Celebrating the 60th Birthday of M.J.D. Powell, Cambridge, July 27, 1996.
  2. A posteriori error estimates for Boussinesq equations. ICFD, Conference on Numerical Methods for Fluid Dynamics, Oxford, April 2, 1998.
  3. Elementi finiti adattivi per l’equazioni di Boussinesq. SIMAI 98, Giardini Naxos, June 5, 1998.
  4. Modelling nonlinear dispersive waves. WASCOM 99, Vulcano, June 10, 1999.
  5. An adaptive method for Boussinesq equations. ICIAM ’99, Edimburgh, July 6, 1999.
  6. Le equazioni di Boussinesq per l’approssimazione di flussi a superficie libera. XVI Congresso dell’Unione Matematica Italiana, Napoli, September 15, 1999.
  7. Anisotropic error estimates applied to convection-diffusion problems. Second ESF International Conference, Il Ciocco, October 13, 2000.
  8. An anisotropic Zienkiewicz-Zhu error estimator. ENUMATH 2001, Ischia, July 24, 2001.
  9. A theoretical design of the stability coefficients on anisotropic elements. SIMAI 2002, Chia Laguna, May 29, 2002.
  10. Anisotropic mesh adaption in CFD: part I and II. OPA 2002, Heidelberg, October 7, 2002.
  11. Multiphysics coupling strategy for free surface flows. ADMOS 2003, Göteborg, October 1, 2003.
  12. Strategie per il coupling di modelli idrodinamici: un approccio a posteriori. GNCS Annual Meeting, Montecatini, February 10, 2004.
  13. Model coupling for free surface flows. The Second European Finite Element Fair, Berlin, June 5, 2004.
  14. Adaptive modeling in hydrodynamics. ECMI 2004, Eindhoven, June 25, 2004.
  15. An a posteriori modeling error estimator for shallow water flows. ECCOMAS 2004, Jyväskylä, July 25, 2004.
  16. Application of anisotropic error estimates to problems in fluid dynamics. ECCOMAS 2004, Jyväskylä, July 26, 2004.
  17. Approcci multifisica e multimodello per l’idrodinamica. Final Meeting of the Project Intergruppo INDAM 2004 “Numerical Methods for Unsteady Multiscale Problems”, Milano, February 21, 2005.
  18. Hierarchical model dimension reduction. MAFELAP 2006, Brunel University, Londra, June 16, 2006.
  19. Anisotropic mesh adaption for evolutionary problems. ICFD, Conference on Numerical Methods for Fluid Dynamics, Reading, March 27, 2007.
  20. Adaptive hierarchical model reduction for elliptic problems. ENUMATH 2007, Graz, September 10, 2007.
  21. Anisotropic mesh adaption for environmental applications. Second FIMA International Conference – Energy and Environment, Ayas-Champoluc, January 23, 2008.
  22. A hierarchical model dimension reduction driven by an a posteriori error estimator. MOSOCOP08, Heidelberg, July 24, 2008.
  23. Anisotropic space-time adaptation for parabolic problems. SIMAI 2008, Roma, September 17, 2008.
  24. Riduzione gerarchica di modello per problemi ellittici bidimensionali. GNCS Annual Meeting, Montecatini, February 3, 2009.
  25. Adaptive hierarchical model dimension reduction. ADMOS 2009, Bruxelles, May 26, 2009.
  26. Anisotropic mesh adaptation and mesh control: a recovery-based error estimator. CMWR 2010, Barcelona, June 24, 2010.
  27. Some adaptive techniques for the numerical approximation of PDEs. SNAPLE (Statistical and Numerical methods for the Analysis of Problems in Life Sciences and Engineering) Kickoff Meeting, MOX, Milano, October 13, 2011.
  28. A mesh simplification strategy for a spatial regression analysis over the cortical surface of the brain. SNAPLE (Statistical and Numerical methods for the Analysis of Problems in Life sciences and Engineering) Final Meeting, MOX, Milano, May 16, 2014.
  29. Riduzione gerarchica di modello: sviluppi recenti ed applicazioni. XX Congresso UMI, Siena, September 7, 2015.
  30. Adaptive finite elements for structure design. COMPLAS 2019, Barcelona, September 5, 2019.