Luca Magri

Short CV

Luca Magri graduated from the University of Padova with a MSc in Aerospace and Aeronautical Engineering in 2011. He received his PhD from the Department of Engineering at the University of Cambridge in 2015. From 2015-2016, he was a postdoctoral fellow at Stanford University’s Center for Turbulence Research. Since 2016, Luca Magri has been a Royal Academy of Engineering Research Fellow at the University of Cambridge. Since 2018, he has been a lecturer in thermo-fluid dynamics at the same university.

Selected Awards

2019 Hinshelwood Prize (The Combustion Institute, British Section)

2018 Bernard Lewis Fellowship (The Combustion Institute)

2018 Center for Turbulence Research Summer Program Visiting Scholar Fellowship, Stanford University

2017 St John’s college, University of Cambridge

2015 Center for Turbulence Research Postdoctoral Fellowship, Stanford University

2015 Royal Academy of Engineering Research Fellowship

2015 Santander Prize, Best PhD thesis 2015, Visiting Fellowship, TU Munich

2015 Center for Turbulence Research Summer Program Visiting PhD Student Fellowship, Stanford University

2013 American Society of Mechanical Engineers (ASME) International Gas Turbine Institute Scholarship for outstanding doctoral research in gas-turbine technologies

2012 Top 25 most read journal articles, Science Direct

Research Interests

Flow instability, Combustion noise, Aeroacoustics, Thermoacoustics, Sensitivity and optimization, Multiple-scale methods, Uncertainty quantification, Adjoint methods, Symmetry breaking, Chaos, Inverse design, Artificial intelligence and machine learning in reacting flows

Selected Publications

  • Yu, H., Juniper, M. & Magri, L.: Combined state and parameter estimation in level-set methods. Journal of Computational Physics, to appear.

  • Yu, H., Jaravel, T., Juniper, M., Ihme, M. & Magri, L.: Data assimilation and optimal calibration in nonlinear models of flame dynamics. Journal of Engineering for Gas Turbines and Power, to appear.

  • Doan, N. A. K, Polifke, W. & Magri, L.: Physics-informed echo state networks for chaotic systems forecasting. Lecture Notes in Computer Science, LNCS, (2019), vol. 11539, pp. 192-198.

  • Traverso, T. & Magri, L.: Data assimilation in a nonlinear time-delayed dynamical system with Lagrangian optimization. Lecture Notes in Computer Science, LNCS, (2019), vol. 11539, pp. 156-168.

  • Magri, L.: Adjoint methods as design tools in thermoacoustics. Applied Mechanics Reviews (2019), 71(2), 020801.

  • Doan, N. A. K, Polifke, W. & Magri, L.: Physics-informed echo state networks for chaotic systems forecasting. International Conference on Computational Science (2019), Faro, Portugal.

  • Traverso, T. & Magri, L.: Data assimilation in a nonlinear time-delayed dynamical system with Lagrangian optimization. International Conference on Computational Science (2019), Faro, Portugal.

  • Yu, H., Juniper, M., Jaravel, T., Labahn, J., Ihme, M. & Magri, L.: Physics-informed data-driven prediction of premixed flame dynamics with data assimilation. Proceedings of the Center for Turbulence Research Summer Program (2018), pp. 329-338.

  • Yu, H., Jaravel, T., Juniper, M., Ihme, M. & Magri, L.: Data assimilation and optimal calibration in nonlinear models of flame dynamics. ASME Turbo Expo (2019), GT2019-92052, Phoenix, USA.

Publications as TUM-IAS-Fellow

2020

  • Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri: Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. 2020 more… BibTeX

2019

  • Doan, Nguyen Anh Khoa; Polifke, Wolfgang; Magri, Luca: Physics-Informed Echo State Networks for Chaotic Systems Forecasting. In: Lecture Notes in Computer Science. Springer International Publishing, 2019 more… BibTeX Full text ( DOI )
  • H. Yu, M. P. Juniper, and L. Magri: Interpretability within a level-set data assimilation framework. SIAM Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics, 2019 more… BibTeX
  • Magri, Luca; Doan, Nguyen Anh Khoa: Physics-informed data-driven prediction of turbulent reacting flows with Lyapunov analysis and sequential data assimilation. In: Apollo - University of Cambridge Repository, 2019 more… BibTeX Full text ( DOI )
  • N. A. K. Doan, W. Polifke, and L. Magri: Physics-Informed Echo State Networks for the Prediction of Extreme Events in Turbulent Shear Flows. 72nd Annual Meeting of the APS Division of Fluid Dynamics, 2019 more… BibTeX
  • Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri: A physics-aware machine to predict extreme events in turbulence. 2019 more… BibTeX
  • Nilsson, Thommie; Yu, Rixin; Doan, Nguyen Anh Khoa; Langella, Ivan; Swaminathan, Nedunchezhian; Bai, Xue-Song: Filtered Reaction Rate Modelling in Moderate and High Karlovitz Number Flames: an a Priori Analysis. Flow, Turbulence and Combustion 103 (3), 2019, 643-665 more… BibTeX Full text ( DOI )
  • Traverso, Tullio; Magri, Luca: Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization. In: Lecture Notes in Computer Science. Springer International Publishing, 2019 more… BibTeX Full text ( DOI )
  • Yu, Hans; Jaravel, Thomas; Ihme, Matthias; Juniper, Matthew P.; Magri, Luca: Data Assimilation and Optimal Calibration in Nonlinear Models of Flame Dynamics. Journal of Engineering for Gas Turbines and Power 141 (12), 2019 more… BibTeX Full text ( DOI )
  • Yu, Hans; Jaravel, Thomas; Ihme, Matthias; Juniper, Matthew P.; Magri, Luca: Data Assimilation and Optimal Calibration in Nonlinear Models of Flame Dynamics. Volume 4B: Combustion, Fuels, and Emissions, American Society of Mechanical Engineers, 2019 more… BibTeX Full text ( DOI )
  • Yu, Hans; Juniper, Matthew P.; Magri, Luca: Combined state and parameter estimation in level-set methods. Journal of Computational Physics 399, 2019, 108950 more… BibTeX Full text ( DOI )

2018

  • Berger, Frederik M.; Hummel, Tobias; Romero Vega, Pedro; Schuermans, Bruno; Sattelmayer, Thomas: A Novel Reheat Combustor Experiment for the Analysis of High-Frequency Flame Dynamics: Concept and Experimental Validation. Volume 4B: Combustion, Fuels, and Emissions, American Society of Mechanical Engineers, 2018 more… BibTeX Full text ( DOI )
  • F. Garita, H. Yu, L. Magri, and M. Juniper: A Bayesian Approach for Predicting Thermoacoustic Oscillations in an Electrically-Heated Rijke Tube. 71st Annual Meeting of the APS Division of Fluid Dynamics, 2018 more… BibTeX
  • H. Yu, T. Jaravel, M. Ihme, F. Garita, M. P. Juniper, and L. Magri: Data assimilation and parameter estimation of thermoacoustic instabilities in a ducted premixed flame. 71st Annual Meeting of the APS Division of Fluid Dynamics, 2018 more… BibTeX
  • T. Traverso, A. Bottaro, and L. Magri: Data assimilation in thermoacoustic instability with Lagrangian optimization. EuroMech Vienna, 2018 more… BibTeX