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Mohamed Amara is a full-time Professor at the University of Pau and the Pays de l'Adour (UPPA) since 1996, affiliated with the Laboratory of Mathematics and their Applications (CNRS-UMR 5142). He served as its director (1999-2007), Director of the Doctoral School of Exact Sciences (ED211, 2007-2008), and UPPA's Scientific Council Vice-President (2008-2012). He has been UPPA's President since 2012 (re-elected until 2020). Education: Mathematics from University of Algiers (1973), Pierre and Marie Curie University (DEA 1974, Doctorate 1978, State Doctorate 1983) Academic Roles: Research Associate at Ecole Polytechnique (1978-1982), Algerian Electricity and Gas Company (1983-1992), Professor in Algiers (1988-1994), Tunis (1994-1995), and Associate Professor at Paris 6 (1995-1996) His research focuses on numerical simulation of partial differential equations for environmental/energy applications, including mechanics in porous media (petroleum engineering, geoscience), fluid mechanics (aerodynamics, estuarine hydrodynamics), non-Newtonian flows, and wave propagation. Articles highlight expertise in discontinuous Galerkin methods, Helmholtz problems, finite element discretization, and multiphysics systems. He managed 20 doctoral theses and led national mathematics programs at ANR (2007-2011). He chairs the Cocktail association for higher education IT systems and collaborates with INRIA's Magique 3D team (since 2006).

• Partial Differential Equations
• Mechanics in Porous Media
• Fluid Mechanics
• +5 more

Dond Asha Kisan is an Assistant Professor at the School of Mathematics , Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM). His research focuses on numerical analysis and computational mathematics , particularly in finite element methods for partial differential equations. He can be contacted at ashadond@iisertvm.ac.in or via phone at +91 (0)471-2778247. PhD : Mathematics, Indian Institute of Technology Bombay M.Sc. : Mathematics, K.T.H.M. College, Nashik Kisan's research spans adaptive finite element methods , stabilized formulations for convection-diffusion problems , and optimal control governed by Stokes equations . His work includes convergence analysis, nonconforming discretizations, and hybrid numerical schemes. Recent publications (2023-2025) address stochastic modeling in liquid crystal physics, advanced WENO schemes, and adaptive algorithms for control problems. Scientific Awards : No explicit awards mentioned in the data, though he held prestigious postdoctoral fellowships including National Post-Doctoral Fellowship and NBHM Post-Doctoral Fellowship. Kisan has extensive teaching experience , including MATLAB workshops and undergraduate course assistantships. He has presented at major international conferences like ICIAM and Hyperbolic Problems, demonstrating global engagement in computational mathematics.

• Numerical Analysis
• Computational Mathematics
• Finite Element Methods
• +4 more

Thomas Grenier is an Associate Professor in the Department of Electrical Engineering at INSA Lyon and a member of the CREATIS laboratory (CNRS UMR 5220, INSERM U1294). He obtained his HDR (Habilitation à Diriger des Recherches) in 2023 and his Ph.D. in Image Processing from INSA Lyon in 2005. His research focuses on medical image segmentation, clustering, and filtering using feature space, scale-space, and deep learning approaches. Doctoral School: EEA (Electronics, Energy, and Automatics) Research Affiliation: CREATIS Lab (CNRS/INSERM/INSA Lyon/Université Lyon 1/Université Jean Monnet Saint-Etienne) He has contributed to 20 papers and co-supervised 5 PhD students, including Léo Dumortier and Florent Guépin. Grenier leads the annual Deep Learning for Medical Imaging (DLMI) school, which he co-founded, and has organized five editions across Lyon and Montreal since 2019. The school emphasizes practical deep learning applications in medical imaging for participants of all expertise levels. His work spans interdisciplinary domains such as medical imaging , deep learning , and image processing , with recent publications on generative AI for MRI synthesis, explainable networks, and segmentation of neurological pathologies in preclinical models. He manages pedagogical platforms, coordinates LabEx PRIMES project activities, and oversees lab room infrastructure for 200 hours/year across 10 training programs. Grenier also leads the MUSIC transversal project on Multiple Sclerosis since 2019.

• Medical Image Segmentation
• Clustering
• Filtering
• +3 more

Grégoire Allaire is a Professor of Applied Mathematics at École Polytechnique, where he leads research in shape optimization , homogenization , and multi-scale modeling . His work bridges theoretical and applied domains, focusing on partial differential equations (PDEs), composite materials, and computational methods.

• Scientific Computing
• Multi-scale Modeling
• Partial Differential Equations
• +7 more

Stephane Cotin is a Research Director at Inria and leader of the MIMESIS team, specializing in real-time physics-based medical simulations. His work focuses on surgical training, planning, and image-guided therapy, with over 200 scientific articles and the development of the open-source SOFA framework. He co-founded InSimo, Twinical, and EVE, and previously held roles at Harvard Medical School and Mitsubishi Electric Research Lab. Cotin’s research bridges imaging, robotics, and medicine to improve healthcare outcomes, emphasizing patient-specific biophysical modeling and real-time computation. His awards include the Academy of Sciences Award (2018) and Dirk Bartz Medical Prize (2015). He has advised numerous PhD students and led projects like MediTwin and PREMYOM, advancing digital twin technologies for precision medicine.

• Medical Simulation
• Biomechanical Modeling
• Computer-Aided Interventions
• +3 more

Nicolas Joly is a Researcher at the Le Mans University 's Institute of Acoustics , affiliated with the Transducers team. His work focuses on numerical modeling of acoustics and vibroacoustics, particularly thermoviscous diffusion phenomena in boundary layers. Research Areas : MEMS Transducers, Thermoviscous Fluid Dynamics, Inverse Methods, Composite Material Analysis Recent Contributions : Modeling micro-scale acoustic devices, homogenization of complex elastic moduli in curved beams, and fluid-loaded microbeam dynamics. Scientific Production Trends : Recent publications highlight advanced numerical simulations for miniaturized transducers, inverse methods in material characterization, and thermoviscous effects in MEMS devices. His work bridges acoustics with structural mechanics and sensor design.

• Acoustics
• Vibroacoustics
• Numerical Modeling
• +3 more

Kiwon Um is a tenured Assistant Professor in the Computer Graphics group at Télécom Paris, France, since October 2019. He focuses on physics-based simulations and data-driven approaches using deep learning, with an emphasis on human visual perception in computer graphics and engineering applications. Education: Ph.D. in Computer Science and Engineering from Korea University His research explores effective simulation of natural phenomena through refined data utilization and develops reliable data acquisition methods for machine learning. He also investigates perceptual evaluation of simulations to advance numerical method understanding. Recent work trends include: (1) turbulence modeling with machine learning integration, (2) elastic material simulation stability, (3) fluid dynamics optimization, and (4) differentiable physics frameworks. His publications range from 2008 to 2025, covering topics like SPH solvers, porous shell simulations, and numerical method validation.

• Physics-based Simulations
• Deep Learning
• Perceptual Evaluation of Simulations
• +3 more

Houman BOROUCHAKI is a Professor at the University of Technology of Troyes (UTT), France, with over 20 years of academic leadership. He has served as Head of the Automatic Mesh Generation and Advanced Methods (GAMMA3) project team since 2008 and previously led the Laboratory of Mechanical Systems and Concurrent Engineering (LASMIS) (2005-2007). His work bridges academic research and industrial applications through collaborations with INRIA , French Petroleum Institute (IFPEN) , Dassault Aviation , and others. Research Interests: A pioneer in adaptive meshing , he focuses on finite element methods , geometric modeling , and numerical simulations . His innovations underpin mesh generation algorithms , 3D triangulation software , and industrial applications in metal forming, composite simulation, and subterranean modeling. Scientific Trends: His recent work emphasizes metric-based meshing , high-order geometric validity , and parallel processing for mesh generation , with applications in petroleum reservoirs, aviation surfaces, and nanomaterials. His Google Scholar profile reflects 25+ years of contributions to meshing and simulation. Teaching: With 22 years of experience, he teaches courses on meshing , numerical analysis , geometric modeling , and computer graphics at UTT, covering undergraduate to PhD levels. Labs & Teams: He leads the interdisciplinary GAMMA3 team and has contributed to LASMIS (mechanical engineering), L2n (CNRS-UMR 7076) (nanomaterials), and LIST3N (computer science).

• Mesh generation
• Numerical simulation
• Finite element methods
• +5 more

Guillaume Chiavassa is a Professor in Applied Mathematics at Ecole Centrale de Marseille, affiliated with the Laboratoire M2P2 (Mechanics, Modeling and Physical Processes Laboratory). He leads research in the Thermodynamics, Waves, Digital, Interfaces and Combustion team, focusing on advanced computational methods for complex physical phenomena. His research spans wave propagation in porous media, numerical modeling of plasma flows in Tokamak configurations, multilevel schemes for conservation laws, penalization methods for compressible flows, and wavelets in numerical analysis. Chiavassa's work demonstrates exceptional mathematical rigor applied to challenging physical systems, particularly in nonlinear wave dynamics and computational fluid mechanics. His methodologies bridge theoretical mathematics with practical engineering applications. Analysis of his recent publications reveals a strong focus on wave propagation phenomena across diverse media, with significant contributions to numerical methods for nonlinear systems. His work consistently addresses the mathematical challenges of modeling complex physical behaviors including material softening, fractional attenuation in porous media, and plasma dynamics in fusion devices. The interdisciplinary nature of his research connects applied mathematics with mechanical engineering, geophysics, and nuclear fusion technology. Chiavassa leads the PROSPERO Software project and participates in the ANR Espoir research initiative and the Consortium SEISCOPE. His teaching activities include courses on hyperbolic equations, finite elements, and heat transfer, with practical computational components developed for student instruction. He maintains an active research program through Laboratory M2P2, where his team develops advanced numerical methods for simulating complex physical phenomena with applications ranging from environmental engineering to nuclear fusion research.

• Wave Propagation
• Numerical Analysis
• Computational Fluid Dynamics
• +6 more

Mohamed Amara is a Professor and President of the Université de Pau et des Pays de l'Adour (UPPA). He is a member of the Inria MAGIQUE-3D team, specializing in numerical analysis and mathematical modeling. His research focuses on finite element methods, computational fluid dynamics, and photovoltaic technologies. He has contributed to advancements in solar energy systems, thermal management of photovoltaic cells, and materials science. Amara has supervised PhD students Elvira Shishenina and Izar Azpiroz, who successfully defended their theses. His work bridges applied mathematics with engineering applications, including studies on estuarian river flows and phase change materials. Roles: Professor, President of UPPA, Inria MAGIQUE-3D researcher Key Research Themes: Numerical Analysis, Solar Energy, Fluid Dynamics Amara's recent publications emphasize structural color metasurfaces, radiative cooling of solar modules, and perovskite solar cell optimization. He collaborates internationally on photovoltaic systems and thermal modeling, addressing challenges in energy efficiency and material performance.

• Numerical Analysis
• Finite Element Methods
• Computational Fluid Dynamics
• +5 more

Philippe Moireau is a Full Professor in the Department of Applied Mathematics at École Polytechnique, where he is also affiliated with the Center for Applied Mathematics (CMAP). He serves as the head of the Inria Project-Team MΞDISIM (Mathematical and Mechanical Modeling with Data Interaction for Simulation in Medicine) and holds the distinguished position of Ingénieur Général of The Corps des Mines. His primary research focuses on inverse problems and data assimilation for partial differential equation models, with particular emphasis on: Observer-based methods from optimal control perspectives Stabilization approaches for evolution equations Numerical analysis of time-dependent control problems Digital twin applications in cardiovascular medicine Professor Moireau's publication portfolio demonstrates consistent focus on mathematical methods for physical systems, with recurring themes in: Data assimilation techniques for PDE-based models Numerical stabilization and discretization methods Cardiovascular biomechanics and hemodynamics Stochastic modeling of biological systems Epidemiological forecasting and control He leads the ANANKΞ project-team at Inria focused on Analysis And Numerics of physical-Knowledge-based Estimation. His educational contributions include lectures on data assimilation theory at CEMRACS and courses on mathematical modeling in cardiac biomechanics at Institut Polytechnique de Paris.

• Inverse Problems
• Data Assimilation
• Partial Differential Equations
• +4 more

Steven LE CORRE is a University Professor at the Department of Thermal Energy Mechanics within the Nantes Thermal and Energy Laboratory (UMR_C 6607) at the University of Nantes . His work focuses on mechanical modeling and simulation, with applications spanning composites, complex fluids, and biomedical engineering. Current PhD Students: Sana Koubaa (Thermoplastic pultrusion), Violette Brulliard (Intervertebral disc modeling) Defended Theses: Arthur Levy (Ultrasonic welding of composites), Céline Dubois (X-FEM in automobile crashes), Jelmer Jongsma (Polymer adhesive structures), Guillaume Rückert (A-TIG welding fluxes), Yosra Guétari (Cutting simulation via X-FEM) Research interests include fibrous media modeling , multiphysical simulation , and applications to composite manufacturing processes , short-fiber-reinforced fluids , and hydrogel/tissue engineering . His work integrates computational mechanics with industrial and biomedical challenges. Professor LE CORRE is based at POLYTECH NANTES campus ( La Chantrerie, rue Christian Pauc ), with office R126 in the Isitem Building. His research is conducted in collaboration with the Nantes Thermal and Energy Laboratory, a CNRS-affiliated research unit.

• Modeling of fibrous media
• Multiphysical simulation
• Composite processes
• +5 more

Olivier ALLIX is a Professor at the Laboratoire de Mécanique et Technologie (LMT) at École Normale Supérieure de Cachan (ENS-Cachan). His research focuses on computational mechanics, including multiscale modeling of composite materials, structural failure analysis, and non-intrusive coupling strategies. He has held leadership roles such as Head of LMT-Cachan and Vice-president of the International Association for Computational Mechanics (IACM). Expertise: Computational structural mechanics, material failure, inverse problems, and multiscale approaches. Editorial Roles: Associate editor of multiple journals including Computational Mechanics and Computer Methods in Applied Mechanics and Engineering . Awards: IACM Fellow, Euromech Fellow, and recipient of the Gay-Lussac Humboldt Prize (2019). His work integrates experimental mechanics with computational methods, emphasizing big data applications and model validation. He has organized major conferences like the World Congress on Computational Mechanics and co-led international research initiatives such as the IRTG ‘Virtual Material and Structures’ with Hannover University. Teaching includes advanced courses on structural dynamics, composite materials, and computational mechanics at the Master’s level. His research group collaborates with industries like Safran, IFPEN, and DGA on projects involving fatigue analysis, mooring systems, and composite testing.

• Computational Mechanics
• Structural Mechanics
• Multiscale Modeling
• +7 more

Corinne Dejous is a Professor at the University of Bordeaux, affiliated with IMS Bordeaux (Institut des Matériaux et Systèmes Microélectroniques de Bordeaux) within the College of Engineering. She leads research in the WAVES group, specifically in the DEVICES, MATERIALS, ZEROPOWER team, focusing on advanced sensor technologies. Her work bridges microelectronics, nanotechnology, and environmental monitoring applications. Her primary research interests include acoustic wave sensors, particularly Love wave devices, microwave sensors, biosensors, microfluidics, and energy harvesting for wireless sensor networks. Dr. Dejous has pioneered developments in multiparameter sensing for complex liquids, heavy metal detection, humidity monitoring, and flexible sensor platforms. Her research demonstrates a strong emphasis on practical applications for environmental monitoring, healthcare, and Internet of Things (IoT) technologies. Analysis of her recent publications reveals a consistent focus on advancing sensor sensitivity and reliability through novel materials (including nanomaterials and polymers), innovative modeling approaches (FEM and equivalent circuit models), and hybrid sensing platforms that combine acoustic, optical, and electrical measurement techniques. Her work increasingly addresses sustainability concerns, with research on green laboratory practices and reduced environmental impact of sensor technologies. Dr. Dejous maintains active collaborations with researchers across multiple institutions and has contributed significantly to both fundamental sensor science and practical implementations. Her work spans from theoretical modeling to device fabrication and real-world testing, including field deployments such as in the Amazon River for water quality monitoring.

• Acoustic wave sensors
• Love wave devices
• Microwave sensors
• +7 more

Eliane Becache is a permanent researcher at ENSTA Paris within the Applied Mathematics Unit (UMA) and serves as Director of the POEMS laboratory (CNRS/ENSTA/INRIA) and Deputy Director of the EDMH doctoral school. Her research focuses on partial differential equations for wave propagation, numerical methods including mixed finite elements and perfectly matched layers (PML), and unbounded domain resolution techniques. Education: Numerical analysis of PDEs and finite element methods Teaching: Courses on finite elements, complex variables, and wave equations at ENSTA and Orsay master's programs Her publications from 2010-2023 address topics like: Stability analysis of PMLs in anisotropic/disersive media Numerical methods for convective/acoustic wave propagation Wave scattering in unbounded domains Time-domain and frequency-domain wave simulations Elastodynamic and electromagnetic wave modeling Scientific Outreach: Co-author of educational films on wave propagation, including the award-winning Digital modeling of the acoustic guitar (Henri Poincaré Prize, 2003). Organized WAVES conferences and scientific events.

• Partial Differential Equ
• Wave Propagation
• Numerical Analysis
• +5 more