About Me
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Research Interests
- Computational Fluid Dynamics
- Particle-Laden Flows
- Tessellation & multiresolution analysis
- Combustion
- High-Speed Reacting Flows
- Machine Learning
Employment
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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.
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Temporary Teaching and Research Associate (ATER)
Aix–Marseille University, France (Sept 2023 – June 2024)
Research Experience
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JSPS Short-term Fellowship 2023
JAMSTEC & Nagoya University, Japan (May 2023 – Aug 2023)
Host : Dr. Keigo Matsuda & Prof. Katsunori Yoshimatsu
Project : Development of parallelized tessellation-based divergence & rotation of particle-laden turbulence
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CTR Summer Program 2022
Stanford University, CA, USA (July 2022 – Aug 2022)
Collaborators : Kai Schneider, Keigo Matsuda, Thibault Oujia, Jacob West, Suhas S. Jain & Kazuki Maeda
Project : Development of multiscale techniques for analyzing clustering in particle-laden turbulence, including tools from machine learning
Education
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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
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Master in Applied Mathematics
Aix-Marseille University, France (Sept 2018 – June 2020)
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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
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Multiscale dynamics of inertial particles in turbulence with and without the effect of gravitational settling
T. Maurel–Oujia, K. Matsuda and K. Schneider
Journal of Fluid Mechanics, 2026 [PDF]
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Sub-continuum structures of reactive shock waves in gaseous H2/O2 mixtures
T. Maurel–Oujia and K. Maeda
Physical Review Fluids, 2025. [PDF]
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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, 2025. [PDF]
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Singularity formation of vortex sheets in 2D Euler equations using the characteristic mapping method
Julius Bergmann, T. Maurel–Oujia, Xi–Yuan Yin, Jean-Christophe Nave, and Kai Schneider
Physics of Fluids, 2024. [PDF]
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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]
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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]
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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]
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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]
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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]
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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
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Microscopic simulation and analysis of reactive shock wave in a H₂/O₂ fuel mixture
T. Maurel–Oujia, and K. Maeda
12th International Conference on Multiphase Flow (ICMF2025).
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Relationship between inertial particle divergence and local flow structure in homogeneous isotropic turbulence
K. Matsuda, T. Maurel–Oujia, and K. Schneider
12th International Conference on Multiphase Flow (ICMF2025).
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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).
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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).
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Clustering formation of inertial particles in high Reynolds number isotropic turbulence
K. Matsuda, T. Maurel–Oujia, and K. Schneider
18th European Turbulence Conference (ETC18).
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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).
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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]
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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
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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]
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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]
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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
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“Multiscale Analysis of Particle Dynamics in Turbulent Flows Using Tessellation-Based Techniques”
2025, CIGP Seminar, Purdue University, West Lafayette, IN, USA. -
“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.