Thibault Maurel Oujia

About Me

I am a postdoctoral researcher with a strong background in applied mathematics, computational physics, and data science. My work focuses on developing advanced computational methods to model complex particle systems in fluid mechanics, combustion, and climate-related phenomena. Through interdisciplinary collaboration and cutting-edge techniques—from high-performance computing to machine learning—I strive to deepen our understanding of challenging physical processes and contribute to sustainable solutions.

Employment

• Apollo 11 Postdoctoral Fellow

  Purdue University, School of Aeronautics and Astronautics (July 2024 – Present)

  Supervisors: Prof. Kazuki Maeda

  Description: Modeling, simulation and analysis of high-speed reacting flows with application to aerospace propulsion and energy systems.

• Temporary Teaching and Research Associate (ATER)

  Aix–Marseille University, France (Sept 2023 – June 2024)

Research Interests

Education

• Ph.D. in Applied Mathematics

  Aix-Marseille University, France (Jan 2021 – June 2024)

  Thesis: On the Particle Dynamics in Fully Developed Turbulence: Tessellation, Multiresolution and Machine Learning Methods

  Supervisors: Prof. Kai Schneider and Dr. Keigo Matsuda

• Master in Applied Mathematics

  Aix-Marseille University, France (Sept 2018 – June 2020)

• Bachelor in Mathematics

  Aix-Marseille University, France (Sept 2015 – June 2018)

Honors and Awards

• Apollo 11 Postdoctoral Fellowship, Purdue University, 2024
• JSPS Short-Term Fellowship, Japan Society for the Promotion of Science, 2023
• CTR Summer Program, Center for Turbulence Research (CTR), Stanford University, 2022

Publications

Journal Articles

• Tessellation-based analysis of impurity clustering in the edge plasma of tokamaks

  Z. Lin, T. Maurel–Oujia, S. Benkadda, and K. Schneider

  Journal of Plasma Physics, 2024.

• Neural network models for preferential concentration of particles in two-dimensional turbulence

  T. Maurel–Oujia, S. S. Jain, K. Matsuda, K. Schneider, J. R. West, and K. Maeda

  Theoretical and Computational Fluid Dynamics, 2024. [PDF]

• Clustering, rotation, and swirl of inertial particles in turbulent channel flow

  J. R. West*, T. Maurel–Oujia*, K. Matsuda, K. Schneider, S. S. Jain, and K. Maeda (*Co-corresponding authors)

  International Journal of Multiphase Flow, p. 104764, 2024. [PDF]

• Synthesizing impurity clustering in the edge plasma of tokamaks using neural networks

  Z. Lin, T. Maurel–Oujia, B. Kadoch, P. Krah, N. Saura, S. Benkadda, and K. Schneider

  Physics of Plasmas, vol. 31, no. 3, 2024. [PDF]

• Computing differential operators of the particle velocity in moving particle clouds using tessellations

  T. Maurel–Oujia, K. Matsuda, and K. Schneider

  Journal of Computational Physics, vol. 498, p. 112658, 2024. [PDF]

• Clustering of inertial particles in turbulent flow through a porous unit cell

  S. V. Apte, T. Oujia, K. Matsuda, B. Kadoch, X. He, and K. Schneider

  Journal of Fluid Mechanics, vol. 937, 2022. [PDF]

• Divergence and convergence of inertial particles in high-Reynolds-number turbulence

  T. Oujia, K. Matsuda, and K. Schneider

  Journal of Fluid Mechanics, vol. 905, 2020. [PDF]

Refereed Conference Proceedings

• Multiresolution analysis of convergence and divergence of inertial particle velocity in turbulence

  T. Maurel–Oujia, K. Matsuda, and K. Schneider

  13th Turbulence and Shear Flow Phenomena (TSFP13).

• Synthesis of preferential concentration of particles in isotropic turbulence using neural networks

  T. Maurel–Oujia, S. S. Jain, K. Matsuda, K. Schneider, J. West, and K. Maeda

  18th European Turbulence Conference (ETC18).

• Clustering formation of inertial particles in high Reynolds number isotropic turbulence

  K. Matsuda, T. Maurel–Oujia, and K. Schneider

  18th European Turbulence Conference (ETC18).

• On singularities in vortex sheets in 2D Euler flows using a high resolution characteristic mapping method

  J. Bergmann, T. Maurel–Oujia, X. Y. Yin, J.-C. Nave, and K. Schneider

  18th European Turbulence Conference (ETC18).

• Divergence and rotation of inertial particles in a four-way coupled channel flow

  T. Oujia, J. West, K. Matsuda, K. Schneider, S. S. Jain, and K. Maeda

  11th International Conference on Multiphase Flow (ICMF). [PDF]

• Extreme divergence and rotation values of the inertial particle velocity in high Reynolds number turbulence using Delaunay tessellation

  T. Oujia, K. Matsuda, and K. Schneider

  12th Turbulence and Shear Flow Phenomena (TSFP12). [PDF]

Technical Reports

• Neural networks for synthesizing preferential concentration of particles

  T. Oujia, S. S. Jain, K. Matsuda, K. Schneider, J. West, and K. Maeda

  Center for Turbulence Research (CTR), Proceedings of the Summer Program 2022, Stanford University. [PDF]

• Divergence and curl of the inertial particle velocity in a four-way coupled turbulent channel flow

  J. West, T. Oujia, K. Matsuda, K. Schneider, S. S. Jain, and K. Maeda

  Center for Turbulence Research (CTR), Proceedings of the Summer Program 2022, Stanford University. [PDF]

• Multiresolution analysis of inertial particle tessellations for clustering dynamics

  K. Matsuda, K. Schneider, T. Oujia, J. West, S. S. Jain, and K. Maeda

  Center for Turbulence Research (CTR), Proceedings of the Summer Program 2022, Stanford University. [PDF]

Invited Talks

• “Multiscale Dynamics of Inertial Particles in Turbulence: A Tessellation Technique Analysis”
  2023, AAE Special Seminar, Purdue University, West Lafayette, IN, USA.
• “A Tessellation-based Approach for Multiscale Dynamics in Particle-Laden Turbulence”
  2023, CEIST Guest Seminar, JAMSTEC, Yokohama, Japan.
• “A Tessellation-based Approach for Multiscale Dynamics in Particle-Laden Turbulence”
  2023, Fluid Mechanics Special Seminar, Nagoya Institute of Technology, Nagoya, Japan.
• “A tessellation-based approach to study the dynamics of inertial particles in turbulence”
  2023, Onishi Lab. Seminar Series, Tokyo Institute of Technology, Tokyo, Japan.
• “Physics-informed neural networks for synthesizing preferential concentration of particles in isotropic turbulence”
  2022, PiAI Seminar Series, Web Seminar.