Scientific and physics-aware machine learning, and data assimilation
  • Luca Magri
    • Group
    • Collaborations
  • Publications
  • Research
    • Overview
    • Scientific machine learning >
      • Physics-aware machine learning
      • Chaotic time series forecasting
      • Nonlinear model reduction
      • Super-resolution and reconstruction
    • Real-time digital twins and data assimilation >
      • Inferring unknown unknowns: Bias-aware data assimilation
    • Optimization >
      • Bayesian optimisation
      • Chaotic systems
    • Mathematical modelling of multi-physics fluids >
      • Reacting flows and sound
    • Quantum computing and machine learning >
      • Solving nonlinear equations with quantum algorithms
      • Linear methods from quantum mechanics
    • Data and codes
  • Jobs/grants
  • Outreach
    • Research Centre in Data-Driven Engineering
    • Data-driven methods, machine learning and optimization
    • Data-driven Dynamical Systems Analysis
  • Consultancy
  • Teaching
    • University modules
    • Artificial intelligence for engineering
    • Mathematical methods
    • Misc
  • Contact

Post-doctoral researchers

Alberto Racca (2023 - present)
Webpage
Schmidt Postdoctoral Fellow, Imperial College London, I-X and Aeronautics department
Reinforcement learning for control of extreme events
Funded by Schmidt postdoctoral fellowships

Dr Felix Tennie (2023 - present)
Post-doc, Imperial College London, Aeronautics department
Quantum algorithms for turbulent flows
Funded by UKRI

Dr Nikos
 Bempedelis (2022 - 2023)
Webpage 
Post-doc, Imperial College London, Aeronautics department
Physics-aware machine learning for exascale fluids
Funded by UKRI / EPSRC
Currently lecturer (assistant professor) at Queen Mary, University of London

Dr Georgios
Margazoglou (2021 - 2023)
Post-doc, Imperial College London, Aeronautics department
Bayesian learning of multi-physics interactions
Funded by ERC
Currently senior scientist at Moody's Risk Management Solutions 


Dr Tullio Traverso (2021 - 2023)
Post-doc, Imperial College London & The Alan Turing Institute
Data assimilation of turbulent multi-phase flows
Funded by EPSRC
Currently senior research scientist at Saint-Gobain

Nguyen Anh Khoa Doan (2018 - 2021)
Webpage 

Institute for Advanced Study Post-doctoral fellow, TU Munich
Artificial intelligence algorithms in turbulent reacting flows
Currently Assistant Professor at TU Delft

PhD students

Present

Osama Ahmed (2023 - present)

PhD candidate, Imperial College London, Aeronautics department
Quantum machine learning for nonlinear dynamical systems
Funded by DTP


Elise Özalp (2021 - present)
PhD candidate, Imperial College London, Aeronautics department
Physics-constrained recurrent neural networks
Funded by ERC

Defne Ozan (2021 - present)
PhD candidate, Imperial College London, Aeronautics department
Gradient learning for thermoacoustics 
Funded by ERC

Yaxin Mo (2021 - present)
PhD candidate, Imperial College London, Aeronautics department
Flow reconstruction of turbulent flows
Funded by EPSRC

Daniel Kelshaw (2021 - present)
PhD candidate, Imperial College London, Aeronautics department
Physics-aware autoencoders
Funded by EPSRC

Andrea Novoa Martinez (2020 - present)
PhD candidate, University of Cambridge, Engineering department
Data assimilation with Bayesian methods
Funded by EPSRC, Cambridge Trusts and Rolls Royce


Alberto Racca (2019 - 2023)
PhD candidate, University of Cambridge, Engineering department
Prediction and control of extreme fluid dynamics with artificial intelligence
Funded by EPSRC and Cambridge Trusts
​Currently AI Schmidt Fellow at Imperial College

Animesh Jain (2019 - 2023)
PhD candidate, University of Cambridge, Engineering department
Indirect noise modelling
Funded by
Harding Distinguished Postgraduate Scholars Programme
Currently analyst at Royal Bank of Canada 


Past 

Francisco Huhn (2017 - 2022)
PhD candidate, University of Cambridge, Engineering department
Optimization of chaotic thermoacoustics
​Funded by Ciência e Tecnologia under the Research Studentship
​Currently Senior Scientists at CERN
Download: PhD thesis
​
Hans Yu (2016 - 2020)
PhD candidate, University of Cambridge, Engineering department
Inverse methods in thermoacoustics
Currently senior data engineer at Tesla
Download: PhD thesis


Sam Collingbourne (2018 - 2019)
PhD candidate (with Prof M. Dafermos), University of Cambridge, Department of Pure Mathematics and Mathematical Statistics (DPMMS)
Prediction of solitons with recurrent neural networks

Georg Maierhofer (2017 - 2018)
PhD candidate (with Prof N. Peake), University of Cambridge, Department of Applied Mathematics and Theoretical Physics (DAMTP)
Perturbations methods for chaotic dynamics

MSc/MEng students (to be updated...)

Priyam Gupta (2021-2022)
MSc student, Imperial College London
Physics-aware autoencoders for turbulence learning

Lucas
 Starepravo  (2021-2022)
MSc student, Imperial College London
Bias-aware data assimilation for thermoacoustics


Kevin Wittkowski (2020 - 2021)
MSc student, University of Genoa ((Italy)

Simulation of aeroelastic system for energy harvesting

Ian Tan (2020 - 2021)
MEng student, University of Cambridge, Engineering department

Quantum mechanics methods for fluids


Tudor Cretu (2019 - 2020)
MEng student, University of Cambridge, Engineering department

Prediction and control of extreme fluid dynamics with artificial intelligence

Iain Rolland (2019 - 2020)
MEng student, University of Cambridge, Engineering department
Data assimilation in unsteady flows
​

Shayan Sadeghieh  (2018 - 2019)
MPhil student, University of Cambridge, Engineering department
Optimization of energy harvesting systems under stall flutter

Andrea Novoa Martinez (2018 - 2019)
MPhil student, University of Cambridge, Engineering department
Optimization of thermoacoustic systems

Wencong Zhang (2018 - 2019)
MPhil student, University of Cambridge, Engineering department
Physics and control of wakes for car drag reduction

​Dan Riches (2018 - 2019)

MEng student, University of Cambridge, Engineering department
Heat transfer effects in aeroengine indirect noise


Tullio Traverso (2017 - 2018)
MSc student, University of Genoa (Italy)
Data assimilation and state estimation of thermoacoustic instabilities with adjoint methods


Guillaume Trojani (2017)
MSc student, University of Cambridge, Department of Applied Mathematics and Theoretical Physics (DAMTP)
Quantum-mechanics methods for aeroacoustics
© 2024 Luca Magri
  • Luca Magri
    • Group
    • Collaborations
  • Publications
  • Research
    • Overview
    • Scientific machine learning >
      • Physics-aware machine learning
      • Chaotic time series forecasting
      • Nonlinear model reduction
      • Super-resolution and reconstruction
    • Real-time digital twins and data assimilation >
      • Inferring unknown unknowns: Bias-aware data assimilation
    • Optimization >
      • Bayesian optimisation
      • Chaotic systems
    • Mathematical modelling of multi-physics fluids >
      • Reacting flows and sound
    • Quantum computing and machine learning >
      • Solving nonlinear equations with quantum algorithms
      • Linear methods from quantum mechanics
    • Data and codes
  • Jobs/grants
  • Outreach
    • Research Centre in Data-Driven Engineering
    • Data-driven methods, machine learning and optimization
    • Data-driven Dynamical Systems Analysis
  • Consultancy
  • Teaching
    • University modules
    • Artificial intelligence for engineering
    • Mathematical methods
    • Misc
  • Contact