Teaching & Mentoring

Courses

  • Calcolo Numerico ed Elementi di Analisi (10CFU), Aerospace Engineering, Politecnico di Milano
    (2001-2013).
  • Continuing Education Courses on “Finite Element Method and its Applications” (2003, 2004, 2006, 2007), and on “Grid Generation and Adaptivity” (2005, 2008), MOX, Department of Mathematics, Politecnico di Milano.
  • ATHENS Course on “Introduction to Finite Elements and Applications”, MOX, Department of Mathematics, Politecnico di Milano, November 18-22, 2013 (joint program with TU Delft).
  • “Recent Challenges in Numerical Analysis”, Ph.D. School in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (2013, 2014).
  • “Advanced Numerical Methods in Scientific Computing”, Ph.D. School in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (2015, 2016).
  • Numerical Analysis for Partial Differential Equations (10CFU), Mathematical Engineering, Politecnico di Milano (2014-2017).
  • Numerical Analysis (MATH 315), Emory University, Atlanta (GA) USA (spring 2018).
  • Numerical Analysis (6CFU), Civil Engineering, Politecnico di Milano (2018).
  • Metodi Numerici e Analitici per l’Ingegneria (5CFU-parte numerica), Energy Engineering, Politecnico di Milano (2019,2020).
  • Numerical Analysis (5CFU), Computer Science, Telecommunications, Automation, Electronic, Sound and Acoustics Engineering, Politecnico di Milano (since 2013).
  • Metodi Numerici e Analitici per l’Ingegneria (9CFU), Mechanical Engineering, Politecnico di Milano (since 2020).
  • Course on “Numerical Methods for Engineering Modeling”, Master in Mathematical and Physical Methods for Aviation Sciences, Università degli Studi di Torino, January 17-21, 2022..

PhD Theses

Advisor

  1. Giovanni Porta. Anisotropic mesh adaptation for shallow water modeling.
    Ph.D. in Hydraulic Engineering, Department of Civil and Environmental Engineering, Politecnico di Milano
    (final discussion: February 19, 2010).
  2. Franco Dassi. Advanced techniques for the generation and the adaptation of complex surface meshes.
    Ph.D. in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (final discussion: September 17, 2014).
  3. Bahman Esfandiar. The impact of space-time adaptation techniques on solute transport modeling in porous media.
    Ph.D. in Environmental and Infrastructure Engineering, Department of Civil and Environmental Engineering, Politecnico di Milano(final discussion: October 17, 2014).
  4. Simone Brugiapaglia. COmpRessed SolvING: sparse approximation of PDEs based on compressed sensing.
    Ph.D. in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (final discussion: January 18, 2016).
  5. Marianna Signorini. Innovative models and methods for geoscience.
    Ph.D. in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (final discussion: July 19, 2016).
  6. Nicola Ferro. Topology optimization: advanced techniques for new challenges.
     Ph.D. in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (final discussion: February 12, 2019; winner of the 10th edition of ECCOMAS Ph.D. Olympiads).
  7. Yves Antonio Brandes Costa Barbosa. Isogeometric hierarchical model reduction: from analysis to patient-specific simulations. Ph.D. in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (final discussion: February 18, 2020).
  8. Francesco Vaccaro. Subject: mathematical modeling of electronic memories for neuromorphic application. Ph.D. in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (ongoing).
  9. Erika Temellini. Subject: modeling in precision agriculture. Ph.D. in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (ongoing).
  10. Luca Liverotti. Subject: innovative processing techniques for earth observation data exploitation in smart farming. Ph.D. in Mathematical Models and Methods in Engineering, Department of Mathematics, Politecnico di Milano (ongoing).

Co-Advisor

  1. Matteo Gavazzoni.
    Mechanical characterization and design of lattice structures for innovative multi-functional applications.
    Ph.D. in Mechanical Engineering, Department of Mechanics, Politecnico di Milano
    (final discussion: November 11, 2021).

Master Theses

Advisor

  • Valerio Cereda.
    Mesh adaptation driven by a posteriori error estimators for the study of the strain state under static and
    dynamic conditions.
    Mechanical Engineering Degree, Politecnico di Milano (a.y. 2005-2006).
  • Lorenzo Mauri.
    Coupling of 1D and 2D hydrodynamic models for the free surface flow simulation.
    Environmental Engineering Degree, Politecnico di Milano (a.y. 2006-2007).
  • Pantaleo Acquaviva.
    Time adaptation driven by an a posteriori error estimator for the numerical simulation of engineering systems.
    Aeronautical Engineering Degree, Politecnico di Milano (a.y. 2007-2008).
  • Simone Pezzuto.
    Space-time adaptation for nonlinear reaction-diffusion systems applied to electrocardiology.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2008-2009).
  • Alessandro Zilio.
    Anisotropic models: numerical analysis and approximation.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2009-2010).
  • Nicoletta Papucci.
    Anisotropic mesh adaptation applied to image segmentation.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2010-2011).
  • Alberto Crivellaro.
    Adaptive reconstruction of sparse data via radial basis functions.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2010-2011).
  • Tommaso Taddei.
    Basi ridotte: mappe transfinite per domini parametrici e leggi di conservazione (winner of the Carlo Cercignani prize 2012).
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2011-2012).
  • Bardelli Alessandro.
    A machine learning approach for mesh adaptivity in a goal-oriented framework.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2011-2012).
  • Stefano Zonca.
    Isotropic volume and surface mesh adaptation driven by a Zienkiewicz-Zhu error estimator with an application to haemodynamics.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2012-2013).
  • Francesco Cremonesi.
    Mesh adaptation for the design of lighter than air vehicles.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2012-2013).
  • Massimiliano Lupo Pasini.
    HI-POD: HIerarchical model reduction driven by a Proper Orthogonal Decomposition for advection-diffusionreaction problems.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2012-2013).
  • Matteo Carlo Maria Aletti.
    Educated bases for HIerarchical MODel reduction in 2D and 3D.(winner of the Carlo Cercignani prize 2013).
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2012-2013).
  • Davide Longoni.
    Anisotropic mesh adaptation driven by a recovery-based goal-oriented error estimator applied to the linearized shallow water equations.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2012-2013).
  • Michele Haile.
    Restauro di immagini tomografiche mediche tramite l’uso di metodi di image inpainting.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2012-2013).
  • Sofia Guzzetti.
    Hierarchical model reduction for incompressible flows in cylindrical domains.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2013-2014).
  • Alessandro Barone.
    Parallel and multilevel techniques for hierarchical model reduction.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2013-2014).
  • Andrè Nicol Albini.
    Topological optimization driven by mesh adaptation for additive manufacturing applications.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2014-2015).
  • Nicola Ferro.
    Propagation of fractures in brittle materials induced by a thermal shock. (winner of the Carlo Cercignani prize 2015).
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2014-2015).
  • Paolo Rusconi.
    Hierarchical model reduction for internal fluid dynamics in curved domains with an isogeometric analysis.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2014-2015).
  • Daniele Alessandro Tobia.
    Manifattura additiva e ottimizzazione topologica: nuove prospettive per gli equipaggiamenti di satellite.
    Aeronautical Engineering Degree, Politecnico di Milano (a.y. 2014-2015).
  • Luca Borchini.
    PGD and HiPOD solutions of geometrically parameterized Stokes flow in haemodynamics.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2014-2015).
  • Alessandro D’Amario.
    A reduced-order Inverse Distance Weighting technique for the efficient mesh-motion of deformable interfaces and moving shapes in computational problems.
    Aeronautical Engineering Degree, Politecnico di Milano (a.y. 2014-2015).
  • Maria Cristina Cova.
    Hierarchical Model reduction for parameter-dependent problems: application to the Navier-Stokes equations.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2014-2015).
  • Luca Marco Valsecchi.
    Reduced order methods for PDEs: a comparison between Proper Orthogonal Decomposition and Proper Generalized Decomposition.
    Aeronautical Engineering Degree, Politecnico di Milano (a.y. 2014-2015).
  • Yves Antonio Brandes Costa Barbosa.
    Hierarchical model reduction with isogeometric approximation applied to data assimilation.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2015-2016).
  • Chiara Doriana Schenardi.
    Problemi di diffusione e trasporto: schemi di discretizzazione continui e discontinui con adattazione di griglia.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2015-2016).
  • Matteo Zancanaro.
    Hierarchical model reduction techniques for flows in a parametric setting.
    Aeronautical Engineering Degree, Politecnico di Milano (a.y. 2015-2016).
  • Stefania Fresca.
    Goal-oriented mesh adaptivity for topology optimization.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2015-2016).
  • Cristina Vaghi.
    POD reduced order modelling for cortical spreading depression.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2015-2016).
  • Diana Volponi.
    Riduzione gerarchica di modello per problemi di interazione fluido struttura in emodinamica.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2015-2016).
  • Beatrice Giacomini.
    Inverse problems and model reduction: a Bayesian approach.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2015-2016).
  • Michele Giuliano Carlino.
    Model reduction by Proper Generalized Decomposition in electrocardiology.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Tommaso Ferri.
    Topology and shape optimization for structural design.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Alessia Mirto.
    Ottimizzazione topologica multi-obiettivo per applicazioni aerospaziali.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Francesco Migliorini.
    Reconstruction of 3D surfaces with sharp features from scattered data via radial basis functions.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Carola Ferrando
    Isogeometric hierarchical model reduction for parameter-dependent problems.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Giulia Meglioli.
    Comparison of model order reduction approaches in parametrized optimal control problems.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Marco Splendiani.
    Metodi innovativi per la progettazione di sistema applicata ai sistemi spaziali radar SAR.
    Aeronautical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Nicolò Ripamonti.
    Energy-preserving model reduction of fluid flows.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Barbara Francesca Del Gaudio.
    Analysis, prediction and clustering of residential water demand by Proper Orthogonal Decomposition.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Cesare Giannetti.
    A reduced basis method for electrophysiology: propagating steep front by L1-norm minimization.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  • Anna Cosmo.
    Mesh adaptation techniques driven by hierarchical Bayesian models.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Davide Cortellessa.
    A level set method with mesh adaptation for topology optimization.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Riccardo Segliani.
    Optimal reconstruction of patient-specific geometries.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Anna Maria Ranno.
    Recovery-based error estimators for age-structured model with spatial diffusion in cell population dynamics.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Elisa Ghiringhelli.
    Proper Generalized Decomposition applied to selective laser melting processing.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Stefano Piccardo.
    Hierarchical perturbation-based model reduction: applications to advection-diffusion-reaction problems.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Giovanni Conni.
    Hierarchical perturbation-based model reduction: applications to transport problems in porous media.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Mario Allora.
    A recovery-based error estimator for advection-diffusion-reaction problems solved with discontinuous finite.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Alberto Bocchinfuso.
    Hybrid data assimilation: a benchmark study and applications.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Francesco Clerici.
    Adaptive algorithms for image segmentation and reconstruction with application to 3D biomedical datasets.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Leonardo Locatelli.
    Segmentation and reconstruction of images from indirect measures.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).
  • Leonardo Boledi.
    Hierarchical model reduction for flow profiles in cooling channels.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2018-2019).
  • Wael Mohammed Alsaid Tawfik Wanis.
    Development of a GUI-APP for topology optimization driven by mesh adaptation.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2018-2019).
  • Giulio Gavinelli.
    Topology optimization of structures in additive manufacturing processes with a control on the overhangs.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Esmail Mostatira.
    Topology optimization for flow problems using level set and density methods.
    Energy Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Ludovica Saccaro.
    Data-driven model reduction techniques for flow modeling.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Gloria Bellini.
    Isogeometric hierarchical model reduction for blood flow modeling in vessels.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Vittorio Gabbi.
    Scalable numerical optimization for distributed multi-agent deep learning.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Marko Burcul.
    A deep learning approach for fast, accurate predictions of material properties for solid solution alloys.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Angelo Pasquale.
    Time multiscale based on Proper Generalized Decomposition: application to elastodynamics and inelasticity.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Moaad Khamlich.
    Model order reduction for bifurcating phenomena in fluid-structure interaction problems.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Azer Omarov.
    Development of an extensible and template-driven GUI framework for programmable software tools.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2019-2020).
  • Giulia Campaniello.
    Topology optimization for the design of manufacturable cellular materials.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2020-2021).
  • Evandro Maddes.
    Reinforcement learning for mesh adaptivity.
    Computer Science and Engineering Degree, Politecnico di Milano (a.y. 2020-2021).
  • Jérémy Robert F. Lengelé.
    Vehicle routing and orienteering algorithms applied to precision irrigation processes.
    Computer Science and Engineering Degree, Politecnico di Milano (a.y. 2020-2021).
  • Federico Morreale.
    Microsatellite SAR constellations: a near real-time scheduler optimization for emergencies and precision farming.
    Computer Science and Engineering Degree, Politecnico di Milano (a.y. 2020-2021).
  • Davide Calabrò.
    A deep learning approach for detection and localization of leaf diseases.
    Computer Science and Engineering Degree, Politecnico di Milano (a.y. 2020-2021).
  • Monang Kevin Napitupulu.
    Application of Proper Orthogonal Decomposition to a sampling-based kinodynamic planning algorithm.
    Automation and Control Engineering Degree, Politecnico di Milano (a.y. 2020-2021).
  • Teresa Babini.
    Coupling intra-cellular and multi-cellular dynamics in spatially-extended models of root-hair initiation.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2020-2021).
  • Marco Ruffinazzi.
    Application of anisotropic 3D mesh adaptation to TRIGA Mark II neutronics modeling.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2020-2021).

Co-Advisor

  1. Silvia Fiordalise.
    Uno stimatore a posteriori dell’errore per le equazioni di Black e Scholes.
    Mathematics Degree, Università degli Studi di Milano (a.y. 2001-2002).
  2. Fabio Anastasio.
    Simulazione numerica del modello drift-diffusion nei semiconduttori con adattività di griglia.
    Electronic Engineering Degree, Politecnico di Milano (a.y. 2002-2003).
  3. Giorgio Maisano.
    Stimatori a posteriori dell’errore di discretizzazione basati su tecniche di ricostruzione.
    Aeronautical Engineering Degree, Politecnico di Milano (a.y. 2002-2003).
    Filippo David e Simone Prandi.
    Adattività di modello in problemi di diffusione-trasporto-reazione con applicazioni alla microelettronica.
    Electronic Engineering Degree, Politecnico di Milano (a.y. 2005-2006).
  4. Claudia Álvarez Pujol.
    Reduced order models for pollution transport (advection-diffusion) in urban areas.
    Civil Engineering Degree, Universitat Politècnica de Catalunya, Barcelona (a.y. 2018-2019).
  5. Ziyang Wang.
    HiMLMC: Hierarchical model reduction with Multi Level Monte Carlo.
    Simulation Science Degree, RWTH Aachen University (a.y. 2020-2021).
  6. Dalila Di Palma.
    Topic: topological optimization of a hip prosthetic implant.
    Double Degree in Biomedical and Mechanical Engineering, Politecnico di Milano (ongoing).
  7. Sara Maggioni.
    Topic: topological optimization of a hip prosthetic implant.
    Double Degree in Biomedical and Mechanical Engineering, Politecnico di Milano (ongoing).

Bachelor Theses

Advisor

  1. Giovanni Migliorati.
    Onde dispersive non lineari: equazioni di Boussinesq.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2006-2007).
  2. Gaia Barbic e Giorgio Paulon.
    A PDE-based model for tomographic image reconstruction.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2012-2013).
  3. Giulio Gargantini.
    Modello di controllo ottimale per la locomozione umana.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  4. Thomas Bellotti.
    Modelizzazione dell’effetto loto tramite le equazioni di Allen-Cahn e di Cahn-Hilliard.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2016-2017).
  5. Andrea Poiatti.
    Deblurring di immagini attraverso le decomposizione ai valori singolari: metodi ed applicazioni.
    Mathematical Engineering Degree, Politecnico di Milano (a.y. 2017-2018).

Research Grants

Supervisor

  1. Nicola Ferro.
    Protection and enhancement of the intellectual property within the Industry 4.0 plan.
    MOX-Department of Mathematics, Politecnico di Milano (1 April, 2019 – 31 March, 2020).
  2. Leonardo Locatelli.
    Advanced numerical techniques for the reconstruction of 3D surfaces.
    MOX-Department of Mathematics, Politecnico di Milano (1 April, 2020 – 30 Aprile, 2021).
  3. Nicola Ferro.
    Metodi innovativi per ottimizzazione strutturale e segmentazione di immagini tramite adattazione anisotropa di
    mesh.
    Fondazione Fratelli Confalonieri – Post-Doc Grant (1 April, 2020 – 31 March, 2021).
  4. Matteo Carbonara.
    Development of advanced algorithms for the reconstruction of 3D surfaces.
    MOX-Department of Mathematics, Politecnico di Milano (1 June, 2020 – 31 May, 2021).
  5. Nicola Ferro.
    Modellistica e discretizzazione numerica di problemi di design strutturale alla micro- e alla macro-scala.
    Assegno INdAM di Collaborazione ad Attività di Ricerca, a.a. 2020-2021 (1 April, 2021 – 31 March, 2022).
  6. Luca Mombelli.
    Algoritmi avanzati per l’ottimizzazione di superfici 3D.
    MOX-Department of Mathematics, Politecnico di Milano (1 June, 2021 – 31 May, 2022).

Erasmus Projects

Italian Supervisor

  1. Juan Ignacio Garcia Nicolas.
    Segmentation of images based on anisotropic mesh adaptation.
    ERASMUS+ Student Placement European Programme between Politecnico di Milano and Universidad
    Politecnica de Valencia (October 24 – December 23, 2016).
  2. Xavier Guzmán Carsí.
    Topology optimization using Python and comparison with commercial software.
    ERASMUS Student, Máster Universitario en Ingeniería Mecánica, Universidad Politecnica de Valencia
    (September 10, 2018 – February 28, 2019).

Internships

Industrial Interships Tutor

  1. Andrè Nicol Albini, Politecnico di Milano (October 15, 2014 – October 13, 2015).
    Modeling, analysis and optimization of structures in additive layer manufacturing for applications in aerospace
    engineering.
    Host industry: Thales Alenia Space Italia, Gorgonzola, Milano.
  2. Daniele Alessandro Tobia, Politecnico di Milano (October 15, 2014 – October 13, 2015).
    Possible evolutions of satellite equipments via design and technologies in additive layer manufacturing.
    Host industry: Thales Alenia Space Italia, Gorgonzola, Milano.
  3. Alessia Mirto, Politecnico di Milano (October 19, 2015 – October 18, 2016).
    Multi-objective optimization of structures in additive layer manufacturing for aerospace industrial equipments.
    Host industry: Thales Alenia Space Italia, Gorgonzola, Milano.
  4. Marco Splendiani, Politecnico di Milano (December 15, 2016 – December 14, 2017).
    Innovative architectures, emerging technologies and new applications for microsatellites.
    Host industry: Thales Alenia Space Italia, Gorgonzola, Milano.
  5. Matteo Metra, Politecnico di Milano (March 6 – September 8, 2017).
    Optimisation de forme en simulation hydrodynamique du pneumatique.
    Host industry: MICHELIN, Clermont-Ferrand.
  6. Angelo Pasquale, Politecnico di Milano (April 6 – July 24, 2020).
    Materials’ long-time behavior in modelling aging and fatigue: time multiscale and Proper Generalized
    Decomposition.
    Host industry: ESI Group – Arts et Metiers ParisTech – AMVALOR, Angers.
  7. Marco Ebreo, Università degli Studi di Torino (March 1 – July 31, 2020).
    Ottimizzazione delle risorse nell’ecosistema dell’agricoltura tramite tecnologia RADAR SAR “space born”: il
    caso della concimazione azotata tramite agricoltura di precisione.
    Host industry: Thales Alenia Space Italia, Roma.
  8. Luca Liverotti, Università degli Studi di Torino (May 10 – September 30, 2021).
    Study and assessment of SAR-based remote sensing technology associated with innovative mathematical
    modeling and techniques, for improving management of resources in agriculture monitoring applications.
    Host industry: Thales Alenia Space Italia, Gorgonzola, Milano.
  9. Amine Sekourane, Sorbonne Université (May 3 – October 29, 2021).
    Raffinement de maillage adaptatif en optimization topologique.
    Host industry: Institut de Recherche Technologique SystemX, Palaiseau.
  10. Federico Morreale, Politecnico di Milano (April 19, 2021 – April 19, 2022).
    Topic: Optimization of a satellite costellation for precision farming.
    Host industry: Thales Alenia Space Italia, Gorgonzola, Milano.

Academic Intership Tutor

  1. Alex Viguerie (September 9, 2015 – February 20, 2016).
    Hierarchical model reduction applied to haemodynamic problems.
    Guest university: Emory University, Atlanta (GA) USA.
  2. Cristina Vaghi, Politecnico di Milano (October 3 – December 31, 2016).
    Implementation of POD techniques in cortical spreading depression simulation.
    Host university: BCAM, Bilbao.
  3. Francesco Cola (October 19, 2017 – April 16, 2018).
    Adaptive and Bayesian algorithms for image segmentation.
    Guest university: Sapienza Università di Roma.
  4. Claudia Alvarez (March 4 – May 31, 2019).
    Reduced order models for pollution transport (advection-diffusion) in urban areas.
    Guest university: Universitat Politècnica de Catalunya, Barcelona.
  5. Anna Maria Ranno (September 1 – 18, 2020; May 10 – June 11, 2021).
    Model reduction in arteries with drug-eluting stents.
    Guest university: RWTH Aachen University.
  6. Gloria Bellini (September 25 – November 27, 2020).
    Application of Isogeometric Hierarchical Model Reduction for complex geometries of blood vessels.
    Host university: Inria Bordeaux Sud-Ouest.
  7. Matteo Giacomini (July 19 – August 1, 2021; September 6-12, 2021; November 8-14, 2021).
    Personalised prosthetics medicine: from imaging to manufacturing of patient-specific solutions.
    Young Investigators Training Programme 2019.
    Guest university: Universitat Politècnica de Catalunya.
  8. Francesco Clerici (January 10 – July 10, 2022).
    Topic: anisotropic mesh adaptation techniques in the modeling of 3D turbulent flows.
    Guest university: INRIA Saclay-Ile de France, Paris.