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<h1></span></span></span><a href="#">Maria Strazzullo</a></h1><img src="circle-cropped.png" width="130" height="130" style="vertical-align:bottom">
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<li class="current_page_item"><a href="index.html" accesskey="1" title="">Homepage</a></li>
<li><a href="education.html" accesskey="2" title="">Education</a></li>
<li><a href="paper.html" accesskey="3" title="">Publications</a></li>
<li><a href="teach.html" accesskey="4" title="">Teaching</a></li>
<li><a href="other.html" accesskey="5" title="">Other</a></li>
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<h1>Publications and Research Production</h1>
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<p> <strong> PAPERS </strong> <br>
<br, style="left: auto;"> [17] L. Saluzzi and M. Strazzullo, “Dynamical Low‐Rank Approximation Strategies for Nonlinear Feedback Control problems”, accepted in Journal of Numerical Mathematics, 2025.
<a href="https://arxiv.org/abs/2501.07439" rel="nofollow"> https://arxiv.org/abs/2501.07439</a> <br>
<br, style="left: auto;"> [16] F. Pichi and M. Strazzullo, “Deflation‐based certified greedy algorithm and adaptivity for bifurcating nonlinear PDEs”, Communications in Nonlinear Science and Numerical Simulation, 2025.
<a href="https://doi.org/10.1016/j.cnsns.2025.108941" rel="nofollow"> https://doi.org/10.1016/j.cnsns.2025.108941</a> <br>
<br, style="left: auto;"> [15] A. Ivagnes, M. Strazzullo, M. Girfoglio, T. Iliescu and G. Rozza, “Data‐driven Optimization for the Evolve‐Filter‐Relax regularization of convection‐dominated flows”, International Journal for Numerical Methods in Engineering, 2025.
<a href="https://onlinelibrary.wiley.com/doi/10.1002/nme.70042" rel="nofollow"> https://onlinelibrary.wiley.com/doi/10.1002/nme.70042</a> <br>
<br, style="left: auto;"> [14] M. Strazzullo, F. Ballarin, T. Iliescu and T. Chacón Rebollo “Variational Multiscale Evolve and Filter Strategies for Convection-Dominated Flows”, Computer Methods in Applied Mechanics and Engineering, 2025.
<a href="https://doi.org/10.1016/j.cma.2025.117811" rel="nofollow"> https://doi.org/10.1016/j.cma.2025.117811</a> <br>
<br, style="left: auto;"> [13] A. Borio, F. Marcon and M. Strazzullo, “General Order Virtual Element Methods for Neumann Boundary Optimal Control Problems in Saddle Point Formulation”, submitted, 2024.
<a href="https://arxiv.org/abs/2411.08497" rel="nofollow"> https://arxiv.org/abs/2411.08497</a> <br>
<br, style="left: auto;"> [12] M. Strazzullo, F. Ballarin, T. Iliescu and C. Canuto, “New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime”, submitted, 2023.
<a href="https://arxiv.org/abs/2307.00675" rel="nofollow">https://arxiv.org/abs/2307.00675</a> <br>
<br, style="left: auto;"> [11] M. Strazzullo and F. Vicini “POD‐based reduced order methods for optimal control problems governed by parametric partial differential equation with varying boundary control”, Applied Mathematics and Computation, 2023.
<a href="https://doi.org/10.1016/j.amc.2023.128191" rel="nofollow">https://doi.org/10.1016/j.amc.2023.128191</a> <br>
<br, style="left: auto;"> [10] F. Zoccolan, M. Strazzullo and G. Rozza “Stabilized Weighted Reduced Order Methods for Parametrized Advection‐Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs”, Journal of Numerical Mathematics, 2024.
<a href="https://10.1515/jnma-2023-0006" rel="nofollow">https://10.1515/jnma-2023-0006</a> <br>
<br, style="left: auto;"> [9] F. Zoccolan, M. Strazzullo and G. Rozza “A Streamline upwind Petrov‐Galerkin Reduced Order Method for Advection‐Dominated Partial Differential Equations under Optimal Control”, Computational Methods in Applied Mathematics, 2024.
<a href="https://doi.org/10.1515/cmam-2023-0171" rel="nofollow">https://doi.org/10.1515/cmam-2023-0171</a> <br>
<br, style="left: auto;"> [8] N. Demo, M. Strazzullo and G. Rozza, “An extended physics informed neural network for preliminary analysis of parametric optimal control problems”, Computers & Mathematics with Applications, 2023.
<a href="https://doi.org/10.1016/j.camwa.2023.05.004" rel="nofollow">https://doi.org/10.1016/j.camwa.2023.05.004</a> <br>
<br, style="left: auto;"> [7] M. Strazzullo, M. Girfoglio, F. Ballarin, T. Iliescu and G. Rozza, “Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax
Regularization of Convection-Dominated, Marginally-Resolved Flows”, International Journal for Numerical
Methods in Engineering, 2022.
<a href="https://doi.org/10.1002/nme.6942" rel="nofollow">https://doi.org/10.1002/nme.6942</a> <br>
<br, style="left: auto;"> [6] M. Strazzullo, F. Ballarin, and G. Rozza, “A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in
Space-Time Formulation”, submitted, 2021.
<a href="https://arxiv.org/abs/2103.00460" rel="nofollow">https://arxiv.org/abs/2103.00460</a> <br>
<br, style="left: auto;"> [5] G. Carere, M. Strazzullo, F. Ballarin, G. Rozza, R. Stevenson. “Weighted POD-reduction for parametrized PDE-constrained Optimal
Control Problems with random inputs and its applications to environmental sciences”, Computers & Mathematics with Applications, 2021.
<a href="https://doi.org/10.1016/j.camwa.2021.10.020" rel="nofollow">https://doi.org/10.1016/j.camwa.2021.10.020</a> <br>
<br, style="left: auto;"> [4] F. Pichi, M. Strazzullo, F. Ballarin, and G. Rozza, “Driving bifurcating parametrized nonlinear PDEs by optimal control strategies:
application to Navier-Stokes equations and model reduction”, ESAIM: M2AN, 2022.
<a href="https://doi.org/10.1051/m2an/2022044" rel="nofollow">https://doi.org/10.1051/m2an/2022044</a>
(watch the related <a href="https://www.youtube.com/watch?v=NKgvr32VtkQ&t=572s" rel="nofollow">talk</a>).<br>
<br, style="left: auto;"> [3] M. Strazzullo, F. Ballarin, and G. Rozza, “POD-Galerkin Model Order Reduction for Parametrized Nonlinear Time Dependent
Optimal Flow Control: an Application to Shallow Water Equations”, to appear in Journal of Numerical Mathematics, 2020.
<a href="https://doi.org/10.1515/jnma-2020-0098" rel="nofollow">https://doi.org/10.1515/jnma-2020-0098</a> <br>
<br, style="left: auto;"> [2] M. Strazzullo, F. Ballarin, and G. Rozza, “POD–Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic
Optimal Control Problems in Saddle Point Formulation”, Journal of Scientific Computing, 83(3), pp. 55, 2020.
<a href="https://doi.org/10.1007/s10915-020-01232-x" rel="nofollow">https://doi.org/10.1007/s10915-020-01232-x</a><br>
<br, style="left: auto;"> [1] M. Strazzullo, F. Ballarin, R. Mosetti and G. Rozza. “Model Reduction for Parametrized Optimal Control Problems in Environmental
Marine Sciences and Engineering”, SIAM J. Sci. Comput., 40(4), B1055–B1079 (25 pages), 2018.
<a href="https://doi.org/10.1137/17M1150591" rel="nofollow">https://doi.org/10.1137/17M1150591</a><br>
<br>
<strong> PROCEEDINGS AND CONFERENCE PAPERS </strong> <br>
<br, style="left: auto;"> [2] E. Donadini, M. Strazzullo, M. Tezzele and G. Rozza, “A data-driven partitioned approach for the resolution of time-dependent
optimal control problems with dynamic mode decomposition”, in ICOSAHOM proceedings, 2022. <a href="10.1007/978-3-031-20432-6_13" rel="nofollow"> 10.1007/978-3-031-20432-6_13</a>
<br>
<br, style="left: auto;"> [1] M. Strazzullo, Z. Zainib, F. Ballarin, and G. Rozza, “Reduced order methods for parametrized non-linear and time dependent
optimal flow control problems, towards applications in biomedical and environmental sciences”, in ENUMATH2019 proceedings,
2020. <a href="https://doi.org/10.1007/978-3-030-55874-1_83" rel="nofollow">https://doi.org/10.1007/978-3-030-55874-1_83</a>
<br>
<br>
<strong> CHAPTERS IN BOOKS </strong> <br>
<br, style="left: auto;"> [4] D. Torlo, M.Strazzullo, F. Ballarin and G. Rozza, “Chapter 12: Weighted Reduced Order Methods for Uncertainty Quantification”, in Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics,
SIAM,2022.
<a href="https://doi.org/10.1137/1.9781611977257.ch12" rel="nofollow">https://doi.org/10.1137/1.9781611977257.ch12</a>
<br>
<br, style="left: auto;"> [3] M.Strazzullo, F. Ballarin and G. Rozza, ““Chapter 2: Finite Element‐Based Reduced Basis Method in Computational Fluid Dynamics”, in Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics,
SIAM,2022.
<a href="https://doi.org/10.1137/1.9781611977257.ch4" rel="nofollow">https://doi.org/10.1137/1.9781611977257.ch4</a>
<br>
<br, style="left: auto;"> [2] F. Pichi, M.Strazzullo, F. Ballarin and G. Rozza, “Chapter 2: Finite Element‐Based Reduced Basis Method in Computational Fluid
Dynamics”, in Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics,
SIAM,2022.
<a href="https://doi.org/10.1137/1.9781611977257.ch2" rel="nofollow">https://doi.org/10.1137/1.9781611977257.ch2</a>
<br>
<br, style="left: auto;"> [1] F. Ballarin, G. Rozza and M. Strazzullo, “Space-time POD-Galerkin approach for parametric flow control”, in press in Handbook of Numerical Analysis,
Elsevier,2022.
<a href="https://doi.org/10.1016/bs.hna.2021.12.009" rel="nofollow">https://doi.org/10.1016/bs.hna.2021.12.009</a>
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<h4>
<p>The website collects all the useful information of my Curriculum Vitae. You can also find me on <a href="https://www.researchgate.net/profile/Maria_Strazzullo4" rel="nofollow">ResearchGate</a> and <a href="https://scholar.google.com/citations?hl=it&user=efXsllYAAAAJ" rel="nofollow">Google Scholar </a></p>
<a href="./Strazzullo_CV.pdf" class="button">Download CV</a> </div>
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<p> <strong> Contact me</strong></p>
<p> <strong> DISMA, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, Italy </strong></p>
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