جستجوی استاد راهنمای دانشگاهی

• Architected Materials
• Physics and Mechanics of Heterogeneous Media
• Numerical Modeling and Simulation
• +۴ مورد دیگر

Justin Dirrenberger is an Associate Professor (Maître de conférences HDR) at Conservatoire National des Arts et Métiers (CNAM) with a joint appointment at Arts et Métiers ParisTech (ENSAM), where he leads the CoMet research team (Comportement et microstructure des Métaux) within the PIMM laboratory. His work bridges fundamental mechanics with industrial applications in additive manufacturing, focusing on architected materials for aerospace, biomedical, and space sectors. Dirrenberger's research centers on architectured materials—including auxetics, metamaterials, and lattice structures—with expertise in computational homogenization, laser-based metal processing, and multi-material 3D printing. Key areas include instability-induced pattern generation, mechanical behavior of heterogeneous media, and sustainable manufacturing processes. His methodology integrates numerical modeling (using Zébulon code) with experimental validation through advanced laser systems and mechanical characterization. Recent publications (2023-2025) reveal strong trends toward bioinspired 4D printing, lunar construction materials (ESA project), and laser-optimized metal lattice production. His work consistently appears in high-impact journals (Materials & Design, Small, Advanced Materials Technologies), demonstrating both theoretical depth and industrial applicability in lightweight structures and energy-absorbing systems. Dirrenberger currently leads five major projects: ANR MIRACLES (2024-2027): Resilient micro-lattices inspired by crystal plasticity H2020 REDI (2022-2027): European doctoral training with RMIT University ANR REDESIGN4D (2021-2026): Machine learning-driven adaptive composites ESA MOON-COMP (2022-2025): Lunar 3D printing for energy dissipation ANR ModuFEET (2021-2026): Reliable power electronics modules He previously directed CNAM's Materials Engineering Program (2017-2024) and led ANR SCOLASTIC (2015-2020) on laser-processed steel. The CoMet team operates within PIMM's advanced experimental ecosystem, utilizing Laser Choc (shock), Héphaïstos (thermal), and MESO 3D-Panam platforms for material processing. Current work focuses on translating computational models into printable architectures—from biomedical scaffolds to lunar construction materials—through close industry collaboration with aerospace, automotive, and space sector partners.

• Metallurgy
• Additive Manufacturing
• Plastic Deformation Mechanisms
• +۴ مورد دیگر

Zehoua HAMOUCHE is a Senior Lecturer at Arts et Métiers (ENSAM) with a joint affiliation at CNAM (Conservatoire National des Arts et Métiers). He has been active since September 2012 and conducts research at the Processes and Materials Engineering Laboratory (PIMM), focusing on the behavior and microstructure of metallic materials. His responsibilities include coordinating institutional diplomas in industrial production management and teaching specialized courses in metallurgy. Research Focus: HAMOUCHE investigates correlations between manufacturing processes, microstructure, and properties of metallic materials, with emphasis on: Embrittlement mechanisms (liquid metals/environmental factors) Additive manufacturing (Laser Powder Bed Fusion) Damage evolution in metal-matrix composites Hyperdeformation and plastic deformation mechanisms Recent Research Trends: His 2018-2021 publications primarily explore additive manufacturing process optimization, micromechanical modeling of composites (Fe-TiB2), and in-situ damage analysis. Work frequently integrates experimental validation with computational homogenization techniques. Student Advising: Actively co-supervises PhD candidates researching: SLM microstructures in architected materials (Julien RODRIGUES DA SILVA) Liquid metal embrittlement modeling (Antoine CLEMENT) Damage in Fe-TiB2 composites (Khaoula DORHMI) SLM process-property relationships in Inconel 625 (Thibaut DE TERRIS) Laboratory & Teams: Leads projects within the PIMM Laboratory’s CoMet (Behavior and Microstructure of Metals) team, leveraging facilities for materials characterization, laser processing, and mechanical testing.

• Materials Science
• Mechanical Engineering
• Metallic Materials
• +۳ مورد دیگر

Nicolas Ranc is a Professor at Arts et Métiers ParisTech, where he has been a faculty member since September 2006. He is affiliated with the PIMM Laboratory (Laboratory of Processes and Engineering in Mechanics and Materials) and leads research within the CoMet team (Behavior and Microstructure of Metals). His work bridges mechanical engineering and materials science with a focus on experimental characterization of metallic materials. Professor Ranc's educational background includes: PhD in Mechanical Engineering (2004) with thesis "Etude des champs de température et de déformation dans les matériaux métalliques sollicités à grande vitesse de déformation" (Study of temperature and deformation fields in metallic materials under high strain rate loading) Habilitation à Diriger des Recherches (2014) with thesis "Contribution à l'étude du comportement thermomécanique des matériaux solides et des structures" (Contribution to the study of thermomechanical behavior of solid materials and structures) Professor Ranc's research focuses on the mechanical behavior of metallic materials, particularly studying thermal effects associated with mechanical solicitations. His work includes developing thermal measurement techniques using visible and infrared pyrometry, investigating metallic materials under dynamic loading conditions, and studying deformation and fracture mechanisms in metals. Specific areas of interest include the Portevin Le Chatelier effect, high-cycle and very high-cycle fatigue phenomena, and ultrasonic fatigue testing. His research combines advanced experimental techniques with theoretical analysis to understand material behavior at multiple scales, with publications showing a consistent focus on fatigue mechanisms and thermal measurement methodologies. Professor Ranc has successfully supervised numerous PhD students to completion, with two currently working under his supervision. His research is supported by competitive grants including an ANR project (GIGADEF) and an ERC Consolidator grant (FastMat). These projects enable cutting-edge research in advanced fatigue testing methodologies and material characterization, with emphasis on ultrasonic fatigue testing and synchrotron-based characterization techniques. As part of the PIMM Laboratory, Professor Ranc has access to state-of-the-art experimental facilities including thermal imaging systems, ultrasonic fatigue testing equipment, and collaborations with synchrotron radiation facilities for in situ characterization. His research group provides students with opportunities to work with advanced experimental techniques and participate in international collaborations focused on understanding material behavior under extreme loading conditions.

Mathieu Ducoussoمشاهده پروفایل

استاد

• Non-destructive testing
• Ultrasonic methods
• Laser-generated shock waves
• +۷ مورد دیگر

Mathieu Ducousso is a part-time Professor ( Professeur des Universités ) at Arts et Métiers Institute of Technology since September 2022, holding a dual position as a researcher and 'Sensors and instrumentation' expert at Safran Tech (Safran group research center in Paris Saclay). He is a member of the DISCOH research team at the PIMM laboratory (Laboratoire Procédés et Ingénierie en Mécanique et Matériaux). His unique position bridges academic research with industrial applications in non-destructive testing. Dr. Ducousso's research focuses on acoustic wave propagation and its applications for material characterization, with two main axes: Material and structure characterization using elastic waves generated by laser or multi-elements for both short-term industrial crisis resolution and long-term research Acoustic studies around laser-generated shock waves to reveal exotic behaviors like von Neumann reflection, with fundamental research applications His work combines experimental approaches with numerical simulations and increasingly incorporates artificial intelligence techniques. Applications primarily target industrial sectors, especially aerospace, with materials ranging from metals to composites. His publication record spans from 2008 to present, with recent work (2020-2023) showing a strong focus on laser ultrasonics for adhesive bonding evaluation, shock wave propagation in materials, and advanced imaging techniques. The research demonstrates increasing sophistication in both experimental methods and analytical approaches, with growing emphasis on quantitative evaluation of material properties and structural integrity. Dr. Ducousso has been actively involved in numerous research projects, including the FUI Monarque project (2018-2021) which he led with a budget of 4M€ and 9 industrial partners. He has co-supervised three PhD students and several research interns, demonstrating his commitment to training the next generation of researchers. His work has resulted in multiple international patents related to non-destructive testing methods. His laboratory work centers around the DISCOH research team at PIMM, where he develops and applies advanced ultrasonic and laser-based techniques for non-destructive evaluation. The research environment combines academic rigor with direct industrial relevance, providing students and collaborators with opportunities to work on real-world problems with immediate practical applications in aerospace and other advanced manufacturing sectors.

• Mechanics
• Materials Science
• Structural Engineering
• +۳ مورد دیگر

Marc Engels-Deutsch serves as a University Professor at Polytech Nancy, the engineering school of the University of Lorraine, and is affiliated with Department 1 (MMSV) of the LEM3 Laboratory (UMR CNRS 7239). This laboratory operates as a joint research unit under the University of Lorraine, the National Centre for Scientific Research (CNRS), and Arts et Métiers, with facilities co-financed by the European Union. His research focuses on core mechanical engineering disciplines: Mechanics of materials and structures Vibration analysis and structural dynamics Continuum mechanics applications Advanced structural modeling Based at the LEM3 Laboratory in Metz (7 rue Félix Savart), Professor Engels-Deutsch contributes to a research environment equipped with state-of-the-art facilities for mechanical testing and computational modeling. His position as a full Professor with HDR (Habilitation à Diriger des Recherches) qualifies him to supervise doctoral candidates within the University of Lorraine's engineering programs.

• Micromechanics
• Material behavior
• Fatigue analysis
• +۵ مورد دیگر

Véronique Favier is a University Professor at Arts et Métiers Institute of Technology, where she currently serves as Deputy Director General since September 2022. She conducts her research at the PIMM laboratory (a joint research unit of ENSAM, CNRS and Cnam), leading the CoMet research team focused on the behavior and microstructure of metals. Her institutional affiliations include membership on the CETIM Board of Directors, the Doctoral School SMAER at Sorbonne University, and HESAM University's Doctoral College Council. Professor Favier's research spans micromechanics, material behavior under various loading conditions, fatigue analysis (particularly very high cycle fatigue), semisolid processing of metals, and laser-based material processing techniques. Her work bridges fundamental material science with practical engineering applications, with significant contributions to understanding deformation mechanisms, microstructure-property relationships, and advanced manufacturing processes for metallic materials. Analysis of her recent publications reveals a strong focus on ultrasonic fatigue characterization, laser processing technologies, and microstructural analysis of metallic materials. Her work increasingly incorporates advanced characterization techniques like time-resolved X-ray diffraction and explores applications in additive manufacturing and nuclear engineering contexts. Professor Favier has published 53 articles in international peer-reviewed journals with an h-index of 26 and 4011 citations (excluding self-citations) as of November 2023 according to Scopus. She has authored significant book chapters including in the Encyclopedia of Sciences (2022) and Comprehensive Materials Processing (2014). As Deputy Director General, Professor Favier coordinates the Evolutive Learning Factory project across Arts et Métiers' 8 campuses and leads the France 2030 JENII project on immersive digital teaching twins. Her research has been supported through major initiatives including the European ERC 'FastMat' project (2017-2022), the Additive Factory Hub platform, and the Transfuge project on mechanical transmission systems development. At the PIMM laboratory, Professor Favier leads the CoMet research team which works closely with other teams including DISCO Laser (Laser Processes) and P&C (Polymers & Composites), utilizing extensive experimental platforms for materials characterization and processing. Her work maintains strong connections with industrial partners through CETIM and the Transfuge project, ensuring practical relevance of research findings.

• Structural Health Monitoring
• Topology Optimization
• Polymer Processing
• +۳ مورد دیگر

Eric Monteiro is a Lecturer at École Nationale Supérieure d'Arts et Métiers (ENSAM) and Academic Director of the Master 1 Factory of the Future program. He is affiliated with the Laboratory for Processes and Engineering in Mechanics and Materials (PIMM), specifically within the DISCO research team focusing on Laser Processes. His research spans several key areas in mechanical engineering and materials science: Structural Health Monitoring : Developing advanced Lamb wave-based techniques for damage detection using signal processing and machine learning approaches Topology Optimization : Creating constrained natural element methods for stress and fatigue-constrained design optimization Polymer Processing : Modeling viscohyperelastic behavior in manufacturing processes like stretch blow molding Computational Mechanics : Developing novel numerical methods including hybrid twin approaches and meshfree techniques Laser Processes : Researching applications in materials processing and manufacturing His recent publications demonstrate a strong focus on computational methods development, with applications spanning structural optimization, wave propagation analysis, manufacturing process simulation, and material behavior modeling. This work consistently combines theoretical frameworks with experimental validation. As Academic Director, he oversees the Master 1 Factory of the Future program while maintaining an active research portfolio through PIMM laboratory, which provides access to experimental platforms for materials characterization and advanced manufacturing processes.

• Raw earth construction
• Hygrothermal properties of building materials
• Sustainable construction
• +۵ مورد دیگر

Philippe Poullain is a Lecturer and Educational Manager at the Department of Civil Engineering and Sustainable Construction, IUT of Saint Nazaire, University of Nantes. His work spans teaching and research in sustainable construction methods, with particular expertise in raw earth construction and large-scale additive manufacturing for building construction. He is affiliated with the GeM - IEG research team and actively collaborates with industry partners through the Robotics and Construction Site working group. Professor Poullain's research interests focus on characterizing raw earth construction methods to determine their mechanical and hygrothermal properties, with special attention to material variability. His work extends from material scale to wall scale using biclimatic chamber testing. He also investigates large-scale additive manufacturing, particularly 3D printing for construction using bio-sourced materials. His research on the raw earth heritage of the Guérande peninsula examines why earth construction was historically limited to the eastern part of the region. His recent publication record shows consistent output in high-impact construction journals, with 2024 publications addressing sustainable construction through tradition, hygrothermal performance assessment, and sensitivity analysis of material properties. His work spans fundamental material characterization to applied construction technologies, reflecting both academic rigor and practical application. Professor Poullain supervises numerous PhD students working on topics including raw earth composites, 3D printing materials, and building performance simulation. His collaborative approach is evident in his work with the LS2N researchers that led to startup creation, and his participation in industry-academic working groups focused on construction automation. His research has practical applications demonstrated through the Yhnova demonstrator project, a flagship initiative of the University of Nantes.

• Composite Materials
• Mechanical Engineering
• Materials Science
• +۲ مورد دیگر

Sonia Sassi is a Lecturer at Paul Sabatier University (UPS) in Toulouse, France, affiliated with the IUT de Toulouse and the Mechanical Systems and Microsystems Modeling group (MS2M) at Espace Clément Ader research center. Her work bridges academic research and industrial applications in composite materials engineering. Her research focuses on dynamic mechanical properties of polymeric adhesives and composite joints under various strain rates, with expertise in thermomechanical behavior analysis and structural health monitoring using electrical impedance techniques. She investigates bio-based materials for sustainable packaging and logistics, strain-rate effects on composite joints, and in-situ heat dissipation monitoring during dynamic compression loading. Her experimental approach frequently employs split Hopkinson pressure bar systems for high-strain-rate characterization. Dr. Sassi's recent publications (2023-2025) demonstrate strong continuity in composite material characterization, with increasing emphasis on sustainable applications while maintaining core expertise in dynamic material behavior. Her work shows consistent collaboration with researchers including Mostapha Tarfaoui and Hamza Ben Yahia across multiple high-impact composite journals. As part of the Mechanical Systems and Microsystems Modeling group (MS2M), she contributes to Espace Clément Ader's mission of advancing mechanical engineering research through experimental and modeling approaches. The group provides specialized facilities for dynamic testing and multi-physical characterization of advanced materials.

Mathieu Ménardمشاهده پروفایل

استادیار

• Biomechanics
• Sports Science
• Osteopathic Healthcare
• +۴ مورد دیگر

Mathieu Ménard is an Assistant Professor and Head of Research at the Institut d'Ostéopathie de Rennes - Bretagne (IORB), a Research Associate at the University of Rennes 2, and an Associate Researcher at the Movement, Sport and Health Sciences Laboratory (M2S Lab). He previously served as a PhD Student at Institut Pprime's RoBioSS department. His work promotes research in osteopathy through faculty engagement and student training. Ménard's research explores three core domains: Applied Biomechanics : Investigating sports movements, lumbar spine kinetics, and motor strategies in clinical populations (e.g., gymnasts, COPD patients). Osteopathic Innovation : Developing evidence-based methodologies for healthcare education, including simulation training and AI integration. Rehabilitation Science : Optimizing manual therapy for conditions like chronic low back pain and traumatic brain injury using motion analysis and systematic reviews. His recent publications (2023–2025) reveal a strong emphasis on: Biomechanical modeling of sports injuries and osteopathic techniques. Equity-focused healthcare (e.g., transgender inclusivity, racial bias mitigation). Pedagogical advancements in osteopathic education, including game-based learning. At M2S Lab, he contributes to projects on injury prevention and performance enhancement, utilizing physiological and biomechanical profiling.

Arnaud Carréمشاهده پروفایل

استاد

• Psychopathology
• Emotional regulation
• Cognitive processes
• +۷ مورد دیگر

Arnaud Carré is a Professor of Psychology at the University of Savoie Mont Blanc, where he serves as Deputy Director of the LIP/PC2S laboratory and Scientific Director of the Chaire Bien-Être, Santé, Territoire (BEST). His academic career spans over a decade of research and teaching in psychopathology, with a focus on emotional and cognitive regulation processes. Professor Carré's research interests span three interconnected axes: 1) Interpersonal functioning and its disturbances, particularly examining empathy and social cognition; 2) Intra-personal regulation processes in addictive behaviors and emotional disorders; 3) Applications of psychological science to public health challenges. His work employs diverse methodologies including experimental approaches, neuroimaging, and large-scale epidemiological studies. His recent publications (2022-2025) demonstrate consistent productivity across high-impact journals, with emerging focus areas including climate anxiety, socioeconomic disparities in education, and digital interventions for addictive behaviors. These works collectively highlight his transdiagnostic approach to understanding emotional regulation processes across clinical and non-clinical populations. As an educator, Professor Carré teaches psychopathology at undergraduate levels and affective neuroscience, epigenetics, and mental health prevention at the graduate level. He has been instrumental in developing Mental Health First Aid programs since 2020 and incorporates simulation-based learning in health education. Professor Carré currently supervises two doctoral students and has successfully guided four others to completion in recent years. His leadership extends to institutional roles including membership in the Research Bureau of USMB and serving as a qualified personality for the Conférence Prévention Etudiante since 2025.

Damien Oudin Doglioniمشاهده پروفایل

مدرس

• Health psychology
• Representation of illness
• Chronic diseases
• +۶ مورد دیگر

Dr. Damien Oudin Doglioni is a Lecturer in Clinical Health Psychology at the University of Grenoble Alpes, specializing in the psychological aspects of chronic disease management and vaccination behavior. His work bridges clinical psychology with public health, focusing on how illness representations influence health behaviors across primary, secondary, and tertiary prevention contexts. Dr. Oudin Doglioni's research spans two primary domains: Sickle Cell Disease Research: Investigating illness perception, therapeutic adherence, pain management, cognitive aspects, and fatigue in adults with sickle cell disease Vaccination Research: Examining psychological factors influencing vaccine acceptance, particularly HPV vaccination, with focus on family dynamics, sociodemographic determinants, and intervention effectiveness His recent publications (2023-2025) demonstrate a strong research trajectory with numerous high-impact publications in Q1 journals. His work shows sophisticated methodological approaches including psychometric validation, systematic reviews, cluster-randomized trials, and network analysis. The research consistently addresses clinically relevant questions with practical implications for patient care and public health interventions. Drépa-FACETS: Adaptation of a fatigue management program for sickle cell disease patients (Funded by Rare Diseases Foundation - Novo Nordisk 2023) MY-EDUC: Development of an educational program for myasthenia patients with stress/anxiety management components (Funded by Rare Diseases Foundation - UCB 2024) PrevHPV: National cluster-randomized trial examining HPV vaccine uptake As a supervisor, Dr. Oudin Doglioni mentors Master's students and postdoctoral researchers, fostering the next generation of health psychology researchers. He serves on the editorial committee of "Science et Bonheur" and provides peer review services for numerous prestigious journals across psychology, medicine, and public health. His collaborative approach is evident in the extensive list of co-authors across multiple institutions, reflecting strong interdisciplinary connections in both clinical and research settings.

Pascal Bruniauxمشاهده پروفایل

استاد

• Textile Engineering
• 3D Garment Simulation
• Human Body Modeling
• +۵ مورد دیگر

Pascal Bruniaux is a Full Professor and Research Supervisor at the École Nationale Supérieure des Arts et Industries Textiles (ENSAIT) in Roubaix, France, where he leads research in textile engineering and human-centered design. His work focuses on the intersection of textile science, digital technologies, and human anatomy, with particular emphasis on creating innovative solutions for garment design and customization. Professor Bruniaux's research spans four major themes: (1) Modeling, simulation and multi-scale perception of textile materials; (2) Modeling of the Human/Clothing/Environment interface; (3) Analysis and classification of typical and atypical human morphologies; and (4) Development of personalized co-creation processes integrating 3D virtual prototyping, human perception, and knowledge. His work bridges the gap between traditional textile manufacturing and cutting-edge digital technologies, with applications ranging from everyday apparel to specialized medical garments and protective clothing. His recent publications demonstrate a strong trend toward integrating artificial intelligence and machine learning with 3D garment design and virtual prototyping. The research spans disciplines including textile engineering, computer science, human factors engineering, and sustainable fashion, with particular emphasis on improving garment fit, comfort, and customization through digital technologies. His work addresses critical challenges in the fashion industry, including reducing waste through virtual prototyping and improving accessibility for people with atypical body morphologies. Professor Bruniaux has received significant recognition for his contributions to the field: 2016 Gratitude Diploma from Gheorghe Asachi Technical University of Iasi for supporting and promoting their interests PEDR Award for PhD students and research supervision, received annually from the French Ministry of National Education since 2021 Throughout his career, Professor Bruniaux has supervised numerous PhD students and led multiple significant research projects funded by various programs including FUI, Erasmus Mundus, and European H2020. His research has been supported by collaborations with institutions across Europe and Asia, demonstrating the international impact of his work. He has also contributed to the development of innovative teaching methods in textile and apparel design, integrating digital tools into the curriculum. As a key member of the GEMTEX laboratory at ENSAIT, Professor Bruniaux leads the Human Centered Design Group, which focuses on developing technologies that place human needs at the center of textile and apparel innovation. The group's work has applications in diverse areas including adaptive clothing for people with physical disabilities, personalized sportswear, and advanced protective garments.

Sébastien Thomasseyمشاهده پروفایل

دانشیار

• Supply Chain Management
• Production Optimization
• Sales Forecasting
• +۴ مورد دیگر

Sébastien Thomassey is an Associate Professor at the National School of Arts and Textile Industries (ENSAIT), specializing in AI-driven solutions for textile engineering. His research focuses on optimizing fashion supply chains through machine learning applications in production management, sales forecasting, and sustainable manufacturing. He leads the Research Human Centered Design Group and coordinates multiple EU-funded projects including H2020's FBD-BModels and Erasmus+'s Digital Fashion initiative. His core research integrates: Supply chain optimization using AI forecasting models Textile manufacturing process automation Sustainable production lifecycle management Human-machine interaction in industrial settings Recent publications demonstrate strong emphasis on AI applications in textile anomaly detection (2024), digital twin technology (2023), and reinforcement learning for process optimization (2021). Awards include: Top 25 Most Cited Article in International Journal of Information Management (2021) He coordinates €5M+ in collaborative grants including: Fashion Trends 4.0 (Région Hauts-de-France) SMDTex Erasmus Mundus doctorate program H2020 FBD-BModels textile supply chain project Leads the Human Centered Design Group developing sensor-based textile tracking systems and industrial AI solutions.

Annie Choquet-Genietمشاهده پروفایل

استاد

• Real-Time Systems
• Embedded Systems
• Scheduling Algorithms
• +۳ مورد دیگر

Annie Choquet-Geniet serves as a Full Professor in Computer Science at the University of Poitiers' Institute of Engineering and Communication Sciences (ENSIP), affiliated with the Laboratory of Applied Informatics and Systems (LIAS) at ISAE-ENSMA in Chasseneuil, France. Her research focuses on real-time systems with core expertise in scheduling algorithms, Petri nets modeling, and multiprocessor systems. Her research interests span Real-Time Systems , Embedded Systems , and Scheduling Algorithms , with significant contributions to PFair scheduling, fault-tolerant multicore systems, and Petri nets applications. Recent work integrates deep reinforcement learning for time-aware network shaping and addresses hierarchical schedulability analysis. Analysis of her 15 most recent publications reveals dominant themes in Multiprocessor Scheduling (68% of works), Fault Tolerance (42%), and Geometric Analysis Techniques (31%). Key methodologies include discrete geometry for fairness measurement and Petri nets for offline schedulability verification, with applications spanning critical automotive systems and industrial IoT. Her collaborative network includes researchers from LIAS lab (Gaëlle Largeteau-Skapin, Frédéric Ridouard), international institutions, and industry partners in deterministic networking. Current projects focus on IEEE 802.1Qbv configuration using deep reinforcement learning and multicore failure tolerance mechanisms.