{"id":170,"date":"2025-06-28T20:17:47","date_gmt":"2025-06-28T18:17:47","guid":{"rendered":"https:\/\/project.inria.fr\/aimechanics\/?page_id=170"},"modified":"2025-11-03T17:47:33","modified_gmt":"2025-11-03T16:47:33","slug":"aim-group","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/aimechanics\/aim-group\/","title":{"rendered":"AIM Group"},"content":{"rendered":"

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Principal investigators<\/strong><\/h5>\n\n\n\n

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Filippo Masi, Principal Investigator<\/strong><\/p>\n\n\n\n

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Filippo Masi<\/a> is research scientist at Inria, Universit\u00e9 Grenoble Alpes | TRIPOP<\/a> team. Before that, he was a Research Associate at the University of Sydney (Australia), working with Itai Einav. He completed his studies at the School of Mechanical Engineering, The University of Florence (Italy), and conducted his thesis at \u00c9cole Centrale de Nantes and \u00c9cole Nationale des Ponts et Chauss\u00e9es (France). His research mainly focuses on developing theoretical and numerical methods to predict the behavior of complex material systems, with emphasis on scale transitions to provide multiscale models. His expertise includes mechanics of materials, thermodynamics-informed ML, fast and structural dynamics, and nonlinear mechanical phenomena.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Vincent Acary, Principal Investigator<\/strong><\/p>\n\n\n\n

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Vincent Acary<\/a> is research director at Inria, Universit\u00e9 Grenoble Alpes | TRIPOP<\/a> team. His research focuses on modeling, analyzing, and simulating nonsmooth dynamical systems, with applications in mechanics (impacts, contact, friction) and engineering (robotics, electrical circuits). He has contributed significantly to time-integration methods for these systems, particularly those involving unilateral constraints and Coulomb friction. He is a key contributor to Siconos<\/a>, an open-source platform for simulating nonsmooth systems. He collaborates with industrial partners to apply his research to real-world problems, including robotics and mechanical systems with frictional contacts. He is also the founder and editor of the Journal of Theoretical, Computational and Applied Mechanics<\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Associated scientists<\/strong><\/h5>\n\n\n\n

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Franck Bourrier<\/strong><\/p>\n\n\n\n

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Franck Bourrier’s research focuses on the numerical modelling of interactions between rigid bodies and deformable structures. His work is mainly applied to rock-fall hazard modelling in mountainous environments, including the response of granular materials to impact, rock-block propagation, and the protective effects of forests and safety nets. He also contributes to transferring the models developed by Inria | TRIPOP<\/a> and IGE | ECRINS<\/a> teams, in the field of rock-fall risk via the Platrock platform.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Gioacchino Viggiani<\/strong><\/p>\n\n\n\n

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Gioacchino Viggiani is professor at Universit\u00e9 Grenoble Alpes, 3SR<\/a> laboratory, and a geomechanics specialist. He has held visiting professorships at Georgia Tech, Kumamoto, Sydney, Edinburgh and Napoli. His work combines advanced experiments\u2014such as digital image correlation and X-ray micro-tomography\u2014with theoretical and numerical modelling to study geomaterial behavior, including localized failure and hydro-mechanical coupling, for geo-environmental, energy and civil-engineering applications. In 2007 he founded and still directs Grenoble\u2019s English-language master\u2019s programme in Geomechanics, Civil Engineering & Risks, which has trained 200 students from over 30 countries.<\/p>\n<\/div>\n<\/div>\n\n\n\n

Michael Arbel<\/strong><\/p>\n\n\n\n

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Michael Arbel<\/a> is research scientist at Inria, Universit\u00e9 Grenoble Alpes \u2013 THOTH<\/a> team. Before that, he was a Starting Research Fellow at the same team, working with Julien Mairal. He graduated from Ecole polytechnique with a focus in Applied Mathematics and obtained a Masters Degree in Mathematics, Machine Learning and Computer Vision (MVA) from ENS Paris-Saclay. He completed his Ph.D. in 2021 at the Gatsby Computational Neuroscience Unit of University College London. His research interests include bilevel optimization, generative modelling, learning theory and representation learning.<\/p>\n<\/div>\n<\/div>\n\n\n\n

Thierry Faug<\/strong><\/p>\n\n\n\n

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Thierry Faug’s research focuses on the physics and mechanics of complex-fluid flows (granular materials, snow) and their interaction with obstacles, drawing on theory, laboratory and field experiments, and numerical modelling. The main goal is to develop tools and methods that improve our understanding, prediction, and mitigation of rapid gravity-driven flows such as snow and ice avalanches or landslides. He directly applies these tools and methods in expert assessments and consultancy work for various partners, particularly in the area of avalanche protection.<\/p>\n\n\n\n

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Postdoctoral collaborators<\/strong><\/h5>\n\n\n\n
PhD students<\/strong><\/h5>\n\n\n\n

Florian Vincent<\/strong><\/p>\n\n\n\n

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Florian Vincent is completing his PhD in optimization and thermodynamics-based machine learning at the TRIPOP team, under the supervision of Vincent Acary<\/a>, J\u00e9r\u00f4me Malick<\/a>, and Filippo Masi<\/a>. He graduated from the \u00c9cole nationale sup\u00e9rieure d’informatique et de math\u00e9matiques appliqu\u00e9es de Grenoble (ENSIMAG) as computer scientist. His current research interests are oriented towards distributionally robust optimization, convex analysis, physics-informed machine learning, and non-equilibrium thermodynamics.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Henri Leroy<\/strong><\/p>\n\n\n\n

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Henri Leroy is a PhD student at Inria, Universit\u00e9 Grenoble Alpes | TRIPOP team, under the supervision of Vincent Acary and Filippo Masi. He graduated as an applied mathematics engineer from INSA Rouen Normandie, and holds a Master’s degree in Computer Science from University of Rouen. He worked on Physics-Informed Machine Learning for fluid flows reconstruction during a 6-month internship at Dassault Syst\u00e8mes. His research aims to develop data-driven reduced-order models to characterize and understand the microstructural behavior of granular flows, with applications to natural phenomena.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Principal investigators Filippo Masi, Principal Investigator Filippo Masi is research scientist at Inria, Universit\u00e9 Grenoble Alpes | TRIPOP team. Before that, he was a Research Associate at the University of Sydney (Australia), working with Itai Einav. He completed his studies at the School of Mechanical Engineering, The University of Florence\u2026<\/p>\n

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