Curriculum Vitae

A comprehensive overview of my professional background, academic achievements, and expertise in fluid mechanics research.

Research Focus & Expertise

CNRS Research Scientist with over 15 years of experience in fluid mechanics, specializing in near-wall turbulence, flow control (drag reduction, heat transfer enhancement), and computational fluid dynamics (DNS/LES). Expertise in analyzing large datasets using statistical methods and machine learning. International research experience at Imperial College London and Ohio State University, including supervision of Master's and PhD students. Focused on developing predictive models and innovative control strategies for turbulent flows with applications in aerospace and energy systems.

Contact Information

Name

Lionel Agostini

Location

Institut Pprime, CNRS UPR 3346
Dept. Fluides, Thermique, Combustion
Bâtiment H2 - SP2MI, TSA 41123
Poitiers, France

Phone

+33 (0)5 49 49 69 45

Education

Habilitation à diriger des recherches (HDR) - Fluid Mechanics

Defended on 25 November 2024

Poitiers University

Jury Members:

  • Jacques Borée, Professeur, ENSMA, Laboratoire Pprime, Université de Poitiers
  • Sergei I Chernyshenko, Professor of Aerodynamics, Department of Aeronautics, Imperial College London
  • Laurent Cordier, Directeur de Recherche CNRS, Laboratoire Pprime, Université de Poitiers
  • Nicholas Hutchins, Professor, Department of Mechanical Engineering, University of Melbourne
  • Bérengère Podvin, Directrice de Recherche CNRS, Laboratoire EM2C, CentraleSupélec
  • Jean-Christophe Robinet, Professeur, Laboratoire DynFluid, Arts et Métiers Institute of Technology
  • Michael Leschziner, Professor of Aerodynamics, Department of Aeronautics, Imperial College London

PhD - Fluid Mechanics

2011

IUSTI, Aix-Marseille University, Supersonic Research Group

Thesis: "Unsteadiness in separated supersonic flow"

Honors: The highest honors (Distinction)

Research Master Degree (Master recherche) - Fluid dynamics, Aero-acoustics

2008

Paris Sud University

Honors: Grade: Bien, Rank: 1/30

Bachelor degree (Licence) - Physics

2006

Aix-Marseille University

Honors: Grade: Bien

Work Experience

Researcher (Chargé de Recherche CNRS)

October 2020 – Present

CNRS, Pprime institute - Fluids, Thermal and Combustion Department - CURIOSITY

Responsibilities:

  • Conducting research in fluid mechanics, particularly near-wall turbulence and flow control.
  • Developing predictive models and innovative control strategies.
  • Member of Evaluating Scientific Committee (CES 60) - University of Poitiers (Since 2021).
  • Member of Pprime communication committee (Since 2020).

Research Associate

2019 – 2020

Imperial College London, Department of Aeronautics

Project Focus:

  • Worked on "High-Fidelity LES/DNS Data for Innovative Turbulence Models."
  • Supervisor: Prof. Peter Vincent.
  • Funding: EU project - HIFI-TURB.

Research Associate

2016 – 2019

Imperial College London, Department of Aeronautics

Project Focus:

  • Worked on "near-wall turbulence and drag reduction at high Reynolds number."
  • Supervisor: Prof. Michael Leschziner.
  • Funding: EU-China project DRAGY.

Research Associate

2014 – 2017

Ohio State University, Department of Aeronautics

Project Focus:

  • Worked on "near-wall turbulence, shockwave /boundary layer interaction, jet."
  • Supervisor: Prof. Datta Gaitonde.
  • Funding: US Airforce.
  • Joint supervisor for PhD candidates and Master graduate students (2014-2016).

Research Associate

2013 – 2014

Imperial College London, Department of Aeronautics

Project Focus:

  • Worked on "Control of Görtler vortices."
  • Supervisor: Dr. George Papadakis.
  • Funding: EPSRC.

Research Associate

2012 – 2013

Imperial College London, Department of Aeronautics

Project Focus:

  • Worked on "Drag reduction in turbulent channel flow by oscillatory spanwise motion."
  • Supervisor: Prof. Michael Leschziner.
  • Funding: EPSRC.

Research Associate

2011 – 2012

IUSTI, Aix-Marseille University

Project Focus:

  • Worked on "Unsteadiness in separated supersonic flow."
  • Supervisor: Prof. Jean-Paul Dussauge.
  • Funding: State grant.
  • Teaching Associate at Ecole Polytech Universitaire de Marseille: Mathematics (differential equations, Fourier series, Multi-variable function), Experimental work (laminar/turbulent transition, centrifugal pumps, wave flume and open channel flow).

Skills & Expertise

Technical Skills

  • Fluid Mechanics
  • Compressible/Incompressible Flows
  • Flow Control
  • Turbulence
  • Drag Reduction
  • Heat Transfer
  • Unsteady Separated Flows
  • Direct Numerical Simulation (DNS)
  • Large Eddy Simulation (LES)
  • Machine Learning for Fluid Dynamics
  • Reduced Order Modelling

Programming Languages

  • Matlab
  • Python
  • Julia
  • Tensorflow
  • Keras
  • Fortran

Professional Skills

  • Research Leadership
  • Project Management
  • Grant Writing
  • PhD Supervision
  • International Collaboration
  • Scientific Communication

Languages

  • French: Mother tongue
  • English: Fluent

Projects

ANR JCJC INFERENCE - Inference of reduced order models for turbulent flows with complex walls

2024 – 2028

Role: Principal Investigator

Deepening understanding of near-wall turbulence at high Reynolds numbers, focusing on effects of external flow structures on skin friction and heat transfer, combining numerical simulations and data-driven methods.

Funding: 330 KEuros

Machine Learning Reduced Order Models High Reynolds Flows

ANR SOLAIRE - Machine learning for high temperature solar receivers

2022 – 2026

Role: Co-supervisor of PhD student (Lou Guerin)

Improving the efficiency of concentrated solar power (CSP) plants by optimizing heat transfer in the solar receiver using active control of near-wall turbulence.

Partners: LISN, PROMES, Pprime

DNS LES Machine Learning Heat Transfer

ANR MUFDD - Modelling Urban Flow Dynamics with Data-driven approaches

2023 – 2027

Role: Researcher (Pprime's tasks: developing methods for estimators and ROMs)

Developing data-driven reduced-order models (ROMs) of urban canopy flow, combining data-based model identification and data assimilation methods.

Partners: LHEEA, IMFT, Pprime

Data-driven Models Urban Flows Model Identification

Collaboration Pprime & KTH (EUR Intree) - Data-driven ROMs

2023 – 2026

Role: Co-supervisor of PhD student (Niccolò Tonioni)

Developing a data-driven approach to identify key features governing flow dynamics and build low-dimensional surrogate dynamical models. Applied to flow behind a cylinder and turbulent boundary layer.

Auto-encoders (AE, VAE, β-VAE) Clustering Markov chains

Enhancing Convective Heat Transfer by active control of secondary-flow instabilities

2023 – Present

Role: Lead/Collaborator

Collaboration with IUSTI and Safran Aircraft Engines to explore near-wall turbulence control using optimized plasma actuators to generate streamwise vortices by exploiting Görtler instabilities on concave surfaces, aiming to maximize heat transfer and minimize drag penalty in aircraft engine ducts.

Output: Patent 'Enveloppe SOLEAU' DSO2024001272 (23/01/2024)

Heat Transfer Enhancement Flow Control Industrial Application

Publications

Total Rank A Publications: 20

Total Publications: 23

Preferential Enhancement of Convective Heat Transfer Over Drag Via Near-Wall Turbulence Manipulation Using Spanwise Wall Oscillations

2024

Authors: L. Guérin, C. Flageul, L. Cordier, S. Grieu, & L. Agostini

Venue: International Journal of Heat and Fluid Flow, 1010:109564

Catching up with missing particles

2024

Authors: S. Atis & L. Agostini

Venue: Nature Machine Intelligence, 6

Auto-encoder-assisted analysis of amplitude and wavelength modulation of near-wall turbulence by outer large-scale structures in channel flow at friction Reynolds number of 5200

2022

Authors: L. Agostini & M. A. Leschziner

Venue: Physics of Fluids, 34

Presentations

Breaking the Reynolds Analogy: Decoupling Turbulent Heat and Momentum Transport via Spanwise Wall Oscillation in Wall-Bounded Flow

April 2024 | Erlangen, Germany

Authors: L. Guérin, C. Flageul, L. Cordier, S. Grieu, L. Agostini

Venue: DLES 14

Breaking the Reynolds Analogy: Decoupling Turbulent Heat and Momentum Transport via Spanwise Wall Oscillation in Wall-Bounded Flow

March 2024 | Madrid, Spain

Authors: L. Guérin, C. Flageul, L. Cordier, S. Grieu, L. Agostini

Venue: EUROMECH, COLLOQUIUM 631

A predictive model for the response of near-wall turbulence to outer structures

April 2023 | Budapest, Hungary

Authors: L. Agostini & M. A. Leschziner

Venue: ETC 15