PhD ongoing projects

CEMEF has about sixty PhD projects in progress each year. Doctoral students are integrated into the research teams and enrolled in one of the two doctoral specialities on offer: Computational Mechanics and Materials (MNM) or Computational Mathematics, High Performance Computing, and Data (MathNum).

Here is a synthetic presentation of the theses currently in progress at CEMEF. The lists are displayed by research team and promotion.

CFL team: Computing & Fluids

Hasan ABDEL GHANI : Space qualification of ceramic satellite components using the numerical simulation of thermal shock testing. Class of 2024
Aya ALALI : Industrial dip-coating process studyusing complex shapes and non-Newtonian fluids. Class of 2024
Amir BAZZI : Advanced coupling of Graph Neural Networks and time-dependent PDEs. Class of 2024
Rakesh CHOUDHARY : Modeling of the reactive mixing process for packaging of waste in cement matrix. Class of 2024
Chiara FAITINI : Coupling of artificial intelligence and computational mechanics for the treatment of intracranial aneurysms.. Class of 2024
Kevin GUTIERREZ : Microfluidic non-Newtonian droplets generation: experiments and numerical simulations. Class of 2024
Hamda HMIDA : Advancing Foundation Models for Fluid Flow Simulation and Prediction. Class of 2024
Sterley LABADY : AI-Driven Microstructure Generation from limited data. Class of 2024 + MSR team
Sokaina MOZANNAR : Rheological study and modeling of complex shaped molds filling process, with granular materials, used for foundry parts production. Class of 2024
Imane SAHNOUNE : Study of femto-second laser-induced phase separation kinetics in nano-particle-doped optical fibers. ED SFA CdA,Class of 2024
Carla VINCENT : Composite hydrogels for dual drug delivery. Class of 2024 + S&P team
John ZARATE : Coupling artificial intelligence and digital mechanics for the treatment of intracranial aneurysms. Class of 2024
Ricardo ELKHOURI : Biopolymer drag reduction in turbulent flow. Class of 2023
Paul GARNIER : Personalized Aneurysm Treatment using Large Physics Informed Models. Class of 2023
Nicolas HERTEL : Modelling of viscoelastic dewetting flows. Class of 2023
Vincent LANNELONGUE : Computational mechanics and deep learning for intracranial aneurysm rupture risk stratification. Class of 2023
Ugo PELISSIER : Coupling artificial intelligence and digital mechanics for the treatment of intracranial aneurysms. Class of 2023
Eliane YOUNES : Artificial Intelligence and digital twins in metallurgy - Front-tracking modeling of evolving interface networks. Class of 2023 + MSR team
Léa CAILLY-BRANDSTÄTER : Instabilities and texturing under flow of thin layers of non-Newtonian fluids. Class of 2022
Clément GAULTIER : Anisotropic Mesh Adaptation for Multiphase Flow Dynamicswith wetting and capillarity effectsin coating applications. Class of 2022
Théodore MICHEL : Digital Twin of a photovoltaic power plant. Class of 202
Abdelilah RBAH : Fluid-Structure interaction of intracranial aneurysm: modeling, simulation and risk evaluation. Class of 2022
Maxime RENAULT : Numerical simulation of the aorta by finite element method and application of optimization methods for the improvement of a ventricular assist device. Class of 2022
Wael BADER : Resolution strategies for computational mechanics using randomized linear algebra with controlled precision. Class of 2021
Sujie YU : Experimental studies of the formation of gels and aerogels (dry gels) based on natural polymers (cellulose and its derivatives such as methyl cellulose and hydroxypropyl cellulose). Class of 2021 + BIO team

CSM team: Computational Solid Mechanics

Judith BELLON : Improvement of low impact PV modules through a hybrid experimental/numerical strategy. Class of 2024 + S&P team
Miled CHALHOUB : Data-driven multiscale strategy for the prediction of void closure in material forming processes. Class of 2024 + MSR team
Walid DJEDAA : Characterization and modeling of the Bauschinger effect relaxation, recovery, and mechanical behavior of a martensitic steel. Class of 2024 + S&P team
Eroshan GAMAGE : Development of numerical methods for the simulation the machining process of a part produced by additive manufacturing. Class of 2024 + MSR team
Marine GANACHON : Consideration of biomechanics in the customization of an implantable osteosynthesis medical device: application to the reduction of complex fractures. Class of 2024
Antoine LECCIA : Modeling of co-rolling of uranium-bearing plates for research reactors in materials science and nuclear medicine. Class of 2024 + S&P team
Rémy MARTINEZ : 3D multiscale modelling of damage mechanisms in recycled Aluminum alloys. Class of 2024 + MSR team
Jorge Luis ARDILA VILLABONA : Experimental design and thermomechanical modelling of the HFQ (Hot Forming Quench) process on AA2219 aluminium alloys. Class of 2023
Marie BERNABEU : Impact of occlusal morphology and its variations on Temporo-mandibular joint : biomechanical analysis. Class of 2023
Léa GUERANDELLE : Design of dental materials with gradient properties by additive manufacturing. Class of 2023
Anes MARIR : Thermal and Tribological Modeling of Pilger Tube Rolling. Class of 2023
Hiba BOURAS : Nanocomposite hydrogels and aerogels for biomedical applications. Class of 2022 + BIO team
Joséphine CHATELLIER : Characterization and modeling of cold multi-pass drawing of thick sheet applied to submarine shells. Class of 2022
Valentin DUVIVIER : Analysis and modeling of residual stress and ductile fracture of sub-marine hulls under complex loadings. Class of 2022

MSR TEAM: Metallurgy, 𝝁Structure, Rheology

Miled CHALHOUB : Data-driven multiscale strategy for the prediction of void closure in material forming processes. Class of 2024 + CSM team
Walid DJEDAA : Characterization and modeling of the Bauschinger effect relaxation, recovery, and mechanical behavior of a martensitic steel. Class of 2024 + S&P team
Aleksandar DJONOVIC : Multiscale modeling of UO2 restructuring at low temperatures for heat generating SMR. Class of 2024
Eroshan GAMAGE : Development of numerical methods for the simulation the machining process of a part produced by additive manufacturing. Class of 2024 + CSM team
Sterley LABADY : AI-Driven Microstructure Generation from limited data. Class of 2024
Bowen LIU : Full-field modeling of solid-solid phase transformations, recrystallization and grain growth - Application to different alloys. Class of 2024
Rémy MARTINEZ : 3D multiscale modelling of damage mechanisms in recycled Aluminum alloys. Class of 2024 + CSM team
David PEREZ HURTADO : Bridging scales in Titanium alloys. Class of 2024
Natalia ROJAS LONDONO : Mean-field modeling of microstructure evolutions. Class of 2024
Lahcen ABARAY : Modeling of continuous dynamic recrystallization (CDRX). Class of 2023
Tianchi LI : New insights in the reduced mobility description for the modeling of grain growth and recrystallization at the Polycrystalline scale. Class of 2023
Ladji Bafétégué OUATTARA : Bio-sourced circuit printed by new electro-printing methods. Class of 2023
Fernando PASCUAL GOCE : Microstructure evolution during forging of the VDM® Alloy 780 : Mean field modeling of subsolvus recrystallization and effect of chemical composition onkinetics. Class of 2023
Corentin STRADY : Grain growth mechanisms and kinetics in a nickel-based superalloy developed by powder metallurgy for new generation turbine disks. Class of 2023
Pungponghavoan TEP : AI and digital twins in metallurgy - Front-tracking modeling of evolving interface networks. Class of 2023
Eliane YOUNES : Artificial Intelligence and digital twins in metallurgy - Front-tracking modeling of evolving interface networks. Class of 2023 + CFL team
Pauline HAHN : Metallurgical evolution of Zr-Nb alloys during hot deformation processes: mechanisms understanding and simulations. Class of 2022
Théo HUYGHE : Ring rolling impact on the microstructure of new generation turbine disk. Class of 2022
Adrien TALATIZI : Simulation of wave propagation in highly heterogeneous media. Class of 2021
Antonio POTENCIANO CARPINTERO : Heterogeneous grain growth in the iron base superalloy 286. Class of 2021
Franco JAIME : Microstructure of nickel-based superalloys: Experimental analysis and 3D numerical simulation. Class of 2020

2MS TEAM: Metallurgy, Mechanics, Structures & Solidification

Noura BELAICHA : Thermochemistry of powders for ingot casting. Class of 2024
Sylvain DUCOTTET : Numerical modeling of precipitation and optimization of “in istu” thermal treatments of LBM process on aerospace superalloys. Class of 2023
Racha HAMMOUD : Analysis of growth competitions and microstructures produced during solidification of metal alloys Class of 2023
Zichen KONG : Wire-laser additive manufacturing: multiphysics numerical simulation of the process – CFD and microstructure. Class of 2022
Zixuan LI : Characterization of Grain Structure generated by L-PBF process atTrack scale through Experiment And thermo-Metallurgical-Mechanical-Modelling. Class of 2022
Trung-Chien VO : Grain Structure based Anisotropic Mechanical Behaviour for Laser Beam Melting Simulation at Part Scale by Reduced-Order Model. Class of 2022
Paul MARTIN : Nickel superalloys by Laser Scan – Modeling / Additive manufacturing of nickel-based superalloys: metallurgical modeling of the solidification path and the risk of cracking in numerical simulation of the process at the scale of elementary beads. Class of 2021

S&P TEAM: Surfaces & polymers

Judith BELLON : Improvement of low impact PV modules through a hybrid experimental/numerical strategy. Class of 2024 + CSM team
Walid DJEDAA : Characterization and modeling of the Bauschinger effect relaxation, recovery, and mechanical behavior of a martensitic steel. Class of 2024 + CSM team
Antoine LECCIA : Modeling of co-rolling of uranium-bearing plates for research reactors in materials science and nuclear medicine. Class of 2024 + CSM team
Darcy PAMBOU IMOGO : Multiphysics problems in elastoplasticity using heterogeneous local fields. Class of 2024 + Centre des Matériaux
Carla VINCENT : Composite hydrogels for dual drug delivery. Class of 2024 + CFL team
Geoffroy BOUILLET : Numerical modeling of precipitation and optimization of “in istu” thermal treatments of LBM process on aerospace superalloys. Class of 2023
Mekki GADDACHA : 3D crack propagation in a CMO/CMO interface at mesoscopic scale. Class of 2023
Zhengyuan PENG : Coupling of a nano-lubricant with a cold spray coating in the limit of lubrication regime. Class of 2023
Hiba BOURAS : Nanocomposite hydrogels and aerogels for biomedical applications. Class of 2022 + CSM team
Cynthia EL HAJJ : Tribological modeling of stainless steel cold rolling. Class of 2022
Adam NASSIF : Nano-based lubricants for enhanced boundary lubrification in electrical vehicles. Class of 2022
Nelly PONS : From crystallization and structural organizations, induced by 3D fabrication, to mastering the anisotropy of electromechanical behavior and damage to PVDF in its piezoelectric form. Class of 2021
Sujie YU : Experimental studies of the formation of gels and aerogels (dry gels) based on natural polymers (cellulose and its derivatives such as methyl cellulose and hydroxypropyl cellulose). Class of 2021 + CFL team