Magister is proud to present our 15 ESRs who will be working on the project in the coming years:

Click on the ESR to find out more about them and their research. (More to come!)

ESR 2: Nils Wilhelmsen (Armines)

Introduction and contact info:


Name: Nils Wilhelmsen

Work address: Centre Automatique et Systèmes

                        MINES ParisTech

                        60 Boulevard Saint-Michel

                        75006 Paris




Project partner: ARMINES(Association pour la recherche et le développement des méthodes et processus industriels)

Project title: Supervised Learning Algorithms for Distributed Parameter Models of Thermoacoustic Oscillations

Previous background:

MSc Engineering Cybernetics from NTNU(Norwegian University of Science and Technology), June 2018

Title of MSc Thesis: Minimum Time Bilateral Observer Design for 2X2 Systems of Linear Hyperbolic PDEs - With Application to Oil Well Drilling State Estimation for Improved Kick Handling


Courses taken in relation to project:

  • Fundamentals of thermoacoustic instabilities, CERFACS, July 2018
  • Probabilistic Machine Learning, MAGISTER Workshop, September 2018
  • Thermoacoustics and Combustion Dynamics, MAGISTER Summer School, September 2018
  • Flatness Based Nonlinear Control, MINES ParisTech, March 2019
  • Numerical Methods for Large Eddy Simulations, CERFACS, April 2019
ESR 3: Nilam Tathawadekar (GE)

My current research focuses on machine learning in the area of combustion instabilities. The basic idea is to improve sub-models of premixed combustor using deep learning techniques. Since September 2018, I am an Early Stage Researcher in General Electric (GE) Aviation Digital, Munich.

I am alumni of Indian Institute of Science, Bangalore. Here is the link to my work on eRetail demand forecasting using deep neural networks.

Contact :

E-Mail :

LinkedIn : Nilam Tathawadekar

ESR 5: Sagar Kulkarni (TUM)

I am Sagar Kulkarni, a Marie Curie Early Stage Researcher at TU Munich. I am from India and have an M.Sc., in Mechanical Engineering from TU Delft, Netherlands. For my Master thesis, I carried out CFD analysis of a Micro Gas Turbine Flameless Oxidation spray burner for range extension application for electric vehicles at the Institute of Combustion Technology, DLR, Cologne and TU Delft.

As an ESR my work packages include LES of spray combustion for low order modelling of the dynamics and Uncertainty Quantification. In detail, I will be carrying out LES of spray flame in presence of acoustics in AVBP to determine the Flame Transfer Function (FTF) of the system. Then use the System Identification procedure to quantify the uncertainty of the FTF with respect to simulation parameters such as length of the time series and number of droplet parcels modelled.

As a result, I look at Flame Impulse Response (IR) and transfer function of the liquid fuel combustion, analyse the contribution of various physical processes (eg. atomization, evaporation) to the overall flame response in terms of frequency response functions.

I look forward to the cooperation from other partners (academic and industrial) towards the project to really deliver the goals and make a step towards mitigating instabilities from aero engines!!

ESR 8: Francesco Garita (UCAM)

Francesco Garita


Telephone: +44 1223 746971


Research interests

Project type: Marie Curie Early Stage Researcher (ESR) funded by the European Union
Topic: Physics-Based Machine Learning in Thermoacoustics
Description: Adjoint-based sensitivity analysis is combined with automated experiments so that a computer can create an accurate model of a combustion system and eliminate thermoacoustic oscillations, without knowing all model parameters a priori

Peer-Reviewed Publications

L. Marocco, F. Garita, Large Eddy Simulation of liquid metal turbulent mixed convection in a vertical concentric annulus. Journal of Heat Transfer, 140 (7), (2018).
doi: 10.1115/1.4038858


Ph.D. in Engineering

University of Cambridge, UK

     01/2018 - present

Internship for M.Sc. Thesis

Karlsruhe Institute of Technology, Germany

     09/2016 - 03/2017

Exchange M.Sc. Student in Mechanical Engineering

ETH Zurich, Switzerland

     09/2015 - 09/2016

M.Sc. (summa cum laude) in Energy Engineering

Politecnico di Milano, Italy

     10/2014 - 04/2017

B.Sc. (summa cum laude) in Energy Engineering

Politecnico di Milano, Italy

     09/2011 - 07/2014

ESR 9: Alireza Javareshkian (TUM)

Starting from the middle of March, 

Alireza Javareshkian 

started his project at the institute. The aim of this project which is funded by EU project-MAGISTER (H2020-MSCA-ITN-2017), is further investigation of acoustic behavior of combustor liners with dilution holes in aero GT engines. Characterization and modelling of acoustically absorbing liners would be performed through the course of this project, aiming acoustic characterization of perforated medium, measurement of damping rates of a combustion system with and without perforated medium and benchmark of measured and predicted (1D-network, LNSE) results.

ESR 11: Thomas Christou (KIT)

Born and grew up in Athens, Greece 


Studied Mechanical Engineering at the

National Technical University of Athens (N.T.U.A.)

5-year-Diploma (Dipl.-Ing.)

Specialization (4th and 5th year) on Energy and Process Engineering

Diploma thesis on optimization of different co-generation (electricity and cooling) configurations by utilizing a waste heat source

Internship for 2 months at Daikin Greece S.A. in Athens, part of Daikin Europe N.V., a serious air conditioning company based in Ostend, Belgium

Research start at the Karlsruhe Institute of Technology (K.I.T.)

in Karlsruhe, Germany

Department of Chemical and Process Engineering, Engler-Bunte-Institute (EBI), Chair of Combustion Technology

PhD Candidate and Early Stage Researcher (ESR) for the Marie Skłodowska-Curie Actions (MSCA) project MAGISTER

Research focus on atomization and sprays 

Experimental approach on air blast atomization under oscillating flow field, in order to determine the acoustic influence of the air on the generated spray

Build of atmospheric test rig from scratch, with atomization nozzles developed and manufactured at KIT and pulsation device from Technische Universität München (TUM).

Main measurement technique:

Phase Doppler Anemometry (PDA

ESR 12: Sara Navarro Arredondo (UT)

Project title: Characterization of acoustically (un)forced kerosene spray flames at elevated pressure and preheated air

Experimental investigation in liquid fuel combustion. An air blast type burner will be used in a combustor with variable outlet conditions. Combustor thermoacoustics will be characterized by mean of dynamic pressures and OH* chemiluminescence recording. With the data obtained, prediction of thermoacoustic instabilities with machine learning will be proposed.

Location: University of Twente 

Supervisor: J.B.W. Kok

Place of secondments:

Industrial: General Electric (Switzerland),
Academic: Karlsruher Institut für Technologie (Germany)


MSc Chemistry, mention Chemical engineering at the Université Pierre et Marie Curie, France. November 2017

MSc Thesis “A model of the disjoining pressure by Dissipative Particle Dynamics (DPD) method” at the Institute Français du Petrole, Energies Nouvelles, France.


ESR 14: Thomas Lafarge (Safran Tech)

ESR 14: Thomas LAFARGE 


Master in engineering, Ecole Centrale de Lyon (France): Generalist engineer

Master in Science and Technology, Keio University (Japan): School of Science for Open and Environmental Systems.

Host entity: Safran Tech (Magny-les-Hameaux, France)

Academic host: CERFACS (Toulouse, France)

Research Topic: Investigation of the use of Lattice-Boltzmann method applied to multiphasic flows:

The numerical study of injection is a critical point if we consider the behaviour of a flame as both the flame and the injection responses to thermo-acoustic waves are coupled. Consequently, the study of the physic of injection is sensitive if we want to determine the physic of a combustion chamber.

A lot of current numerical simulation of multiphasic flows relies on front tracking methods, that are computationally expensive and not always efficient to catch breaking phenomena and particularly primary atomization. On another hand, Lattice-Boltzmann (LB) methods have recently shown a great degree of maturity and could be able to simulate multiphasic problems with high-density ratio in a close future. The first part of this work consists in investigating the potential of those methods on our applications. Afterwards, we will consider the use of machine learning in determining automatically the tunable parameters that are inherent to LB methods.





Ushnish Sengupta

University of Cambridge


Nils Wilhelmsen


Nilam Tathawadekar



Louise da Costa Ramos



Sagar Kulkarni

Technische Universität München


Varun Shastry



Alireza Ghasemi Khourinia

University of Twente


Francesco Garita

University of Cambridge


Alireza Javareshkian

Technische Universität München


Edmond Shehadi

University of Twente


Thomas Christou

Karlsruher Institute für Technologie


Sara Navarro Arredondo

University of Twente


Michael McCartney



Thomas Lafarge



Pasquale Agostinelli 

Safran HE