Sébastien Briot serves as a CNRS Research Director at the Nantes Digital Sciences Laboratory (LS2N), conducting research within the Robot Autonomy and Control of Interaction with the Environment (ARMEN) team since his promotion in 2022. His institutional affiliation spans CNRS, École Centrale de Nantes, and Nantes University through this joint research unit. His academic background includes studies at INSA Rennes (1999-2004) and the University of Rennes 1 (2003-2004), culminating in a PhD from INSA Rennes' Civil and Mechanical Engineering Laboratory (LGCGM) in 2007. He joined CNRS as a research fellow in 2009 at the Nantes Institute for Research in Communications and Cybernetics (IRCCyN), precursor to his current LS2N role. Dr. Briot's research program emphasizes mechanical design for robotics , pioneering eco-design methodologies for sustainable robot development and advanced analysis of kinematic singularities . This tripartite focus bridges theoretical robotics with practical engineering solutions for environmental efficiency. As a core member of the ARMEN research team, he contributes to LS2N's mission in digital sciences, leveraging the laboratory's collaborative framework between national research bodies and academic institutions to advance robotic autonomy systems.
Marwan Johra joined the École normale supérieure de Rennes (ENS Rennes) as a temporary teaching and research associate (ATER) in the Mechatronics department at the start of the 2025 academic year. A graduate of INSA Rennes in mechanical and automation engineering who further trained at ISAE-SUPAERO in Toulouse, his career spans international experiences across the United States, Italy, England, Netherlands, Germany, Sweden, and Finland, including a significant European Space Agency project conducted between Turin, Toulouse and Leicester. His research focuses on mechatronic systems and robotics, particularly vibration assistance and control based on elasto-geometric modeling for robotized incremental forming. Johra's work aims to improve geometric precision of robotic arms through real-time elastic correction mechanisms and innovative vibratory tools that reduce forming forces, while also conducting environmental analyses comparing manufacturing processes like incremental forming versus stamping. As an educator, he teaches numerical methods to first-year students, manufacturing projects to second-year students, and practical work on new manufacturing processes to third-year students at ENS Rennes. He also instructs in the Master 2 Mechanics – Environmental Transition of Industries program at the University of Rennes and maintains teaching responsibilities at INSA Rennes, with a particular interest in exploring innovative teaching methodologies across European institutions. Working within a research axis developed by Professor Olivier Kerbrat, Johra divides his time between teaching projects and experimental activities on the mechanics platform at ENS Rennes and the IPR, while continuing collaborations with LGCGM at INSA Rennes, actively strengthening synergies between the component institutions of the University of Rennes.
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.
Frédéric Coste is a Research Engineer at the French National Centre for Scientific Research (CNRS), affiliated with the Institut des sciences de l'ingénierie et des systèmes (INSIS) in Paris. Since joining CNRS in 1996, he has directed the Laboratoire commun MaHTEO PIMM/Air Liquide CIP and led PIMM's thermal laser platform. His expertise centers on laser process instrumentation, with developments in additive manufacturing test benches and high-temperature material characterization systems. His research explores: Laser welding dynamics including hybrid Nd:YAG-MAG processes and adaptive control systems Additive manufacturing of alloys (Inconel, copper) focusing on beam interactions and gas atmosphere effects Metal combustion mechanisms and oxygen compatibility testing using laser ignition Thermophysical property measurement of refractory metals in liquid state Recent publications (2023-2025) show strong emphasis on: Medical laser applications in urology (ablation efficiency, tissue interactions) Process optimization for laser powder bed fusion (beam geometry, gas environments) In-situ monitoring techniques for additive manufacturing fumes He maintains active industrial collaborations, particularly through the Air Liquide partnership. As lab director, he oversees PIMM's thermal laser platform supporting research in laser-material interactions and additive manufacturing.
Guillaume Miquelard-Garnier is a Professor at the Conservatoire National des Arts et Métiers (CNAM), where he leads the Polymers and Composites (P&C) team at the PIMM Laboratory. His affiliations include membership in the CNRS National Committee (Soft Matter Section) and editorial responsibilities for Materials Today Communications . He previously served as a Maître de Conférences at CNAM (2010–2023) and holds expertise roles with MESRI, ANR, and FNR Luxembourg. His research explores polymer physics, emphasizing surface/interfacial phenomena in composites, blends, and elastomers. Key themes include: Structure-property relationships in multiphase polymer systems Dewetting dynamics and rheology of nanolayer films Sustainable materials design (e.g., 3D-printed composites, recycled polymers) Interphase characterization in thermoplastic composites Recent publications (2022–2024) reveal a strong focus on advanced manufacturing techniques like multimaterial 3D printing and nanolayer processing. Trends include sustainable material innovation (e.g., coal-reinforced polymers), smart actuators, and environmental health impacts of microplastics. Experimental methods combine rheology, microscopy, and computational modeling. Scientific awards include the Joint SFP/GFP Prize (2020) for contributions to polymer physics. He actively mentors PhD students and postdocs, with 12+ alumni in industrial R&D roles. His lab engages in ANR-funded projects and industrial partnerships (Renault, Safran). The P&C team at PIMM Laboratory specializes in polymer processing, interfacial science, and composite optimization, supported by collaborations with global institutions.
Maria Clotilde Carra is a distinguished academic in the field of dentistry, currently serving as Full Professor at the University of Paris, Faculty of Odontology, where she leads research and teaching in Periodontology. Previously, she held positions as Associate Professor and Assistant Professor at Université Paris Diderot, demonstrating a steady progression through the academic ranks in the same institution (which underwent a name change). Her academic journey reflects deep commitment to advancing knowledge in periodontal sciences and dental implantology. Dr. Carra's educational background is impressive and specialized. She earned her Laurea Magistrale in Dental Medicine and Prosthetics from the University of Parma, Italy (2002-2007), followed by a Certificate of Advanced Studies in Periodontology in 2014, a Master's degree in Clinical Specialized Dentistry with a focus on Periodontology, and the prestigious European Federation of Periodontology Certificate of Completion of Specialized Training in Periodontics and Implant Dentistry. Her research interests span several interconnected domains within oral health. She has made significant contributions to understanding the relationship between periodontal diseases and systemic conditions, particularly sleep disorders such as obstructive sleep apnea and bruxism. Her work bridges clinical periodontology with dental sleep medicine, exploring how oral health conditions intersect with broader health issues. She has also focused extensively on patient-centered approaches, investigating patient preferences in periodontal and implant therapy, and awareness of periodontal disease connections to other health conditions. Her methodological expertise is evident in numerous systematic reviews and meta-analyses that have shaped evidence-based practice in her field. Analysis of her recent publications reveals a strong trend toward interdisciplinary research connecting periodontology with sleep medicine, innovative diagnostic approaches in periodontal assessment, and educational aspects of dental specialty training. Her work demonstrates consistent focus on methodological rigor, particularly in systematic review methodology, while addressing clinically relevant questions about periodontal disease diagnosis, treatment outcomes, and prevention strategies. The growing emphasis on patient perspectives and educational approaches in her recent work suggests evolving research interests that balance clinical science with patient-centered care considerations. Dr. Carra has served as a peer reviewer for numerous prestigious journals including Clinical Oral Investigations, Sleep & Breathing, Sleep Medicine, European Journal of Pediatrics, PLoS One, and Nutrients, demonstrating recognition of her expertise by the scientific community. Her review activity spans multiple disciplines, reflecting the interdisciplinary nature of her research interests. While specific details about her advising activities and research grants are not explicitly mentioned in the available information, her extensive publication record as corresponding or contributing author on numerous high-impact studies suggests active mentorship of students and junior researchers. Her involvement in large-scale studies utilizing population-based cohorts like CONSTANCES indicates participation in significant collaborative research initiatives. Her research appears to be conducted within a robust academic environment at the University of Paris, likely involving collaboration with dental clinicians, sleep medicine specialists, epidemiologists, and public health researchers. The interdisciplinary nature of her work suggests she operates within or collaborates closely with multiple research teams spanning dentistry, sleep medicine, and public health domains.
Marc Vedrines is a Lecturer in the Department of Mechanical Engineering, associated with the ICube Research Unit's Automatic Vision Robotics (AVR) team. His educational responsibilities include managing the mechatronics engineering training program through work-study and teaching courses in mechanical construction, strength of materials, mechatronic systems, and projects. His research spans robotics and mechanical systems, with key interests in tensegrity mechanisms, compliant mechanisms, variable stiffness joints, and applications in medical robotics (MR-compatible robots) and aerial vehicles (VTOL UAVs). He investigates the structural behavior and design of innovative robotic components through theoretical analysis and practical implementation. Analysis of his publications from 2010 to 2016 reveals a consistent focus on robotic mechanism design, including tensegrity workspace computation, variable stiffness joints for medical applications, singularity analysis in compliant mechanisms, and aerodynamic optimization of VTOL UAVs. His work demonstrates strong interdisciplinary connections between mechanical engineering, robotics, and biomedical/aerospace applications. Marc Vedrines actively contributes to the AVR team at ICube, advancing research in robotics, computer vision, and automatic systems through collaborative projects and publications in high-impact venues like ASME journals and IEEE conferences.
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.
Fabrice Lamarche serves as an Associate Professor at Université de Rennes 1 within the ESIR School of Engineering, while maintaining dual affiliation with the MimeTIC research team at IRISA / INRIA Rennes. His academic career spans uninterrupted service since 2004, evolving from Assistant Professor roles at IFSIC (2003-2009) to current positions at ESIR. As co-founder of Golaem (2009), he bridges academic research with commercial application in crowd simulation technology. His institutional journey includes sequential membership in SIAMES (2004-2006), Bunraku (2007-2011), and MimeTIC (2011-present) research teams at INRIA. Lamarche earned his PhD in Computer Sciences from Université de Rennes 1 in 2003 with thesis work on virtual human autonomy. His educational foundation includes a Master of Computer Sciences specializing in Computer Graphics and AI (1999-2000), a Master of Engineering from INSA de Rennes (1997-2000), and a Technical degree from IUT de Limoges (1995-1997). His research program centers on virtual human behavior modeling with emphasis on decision-making systems, path planning under environmental constraints, and crowd simulation architectures. Key innovations include TopoPlan for human-scale navigation and frameworks integrating high-level task scheduling with low-level motion planning. This work addresses fundamental challenges in creating autonomous virtual characters capable of navigating complex 3D environments while exhibiting realistic behaviors, with applications spanning virtual reality, gaming, and simulation-based training systems. Publication analysis reveals consistent output from 2001-2014, evolving from foundational behavioral animation (2001-2004) to sophisticated crowd simulation systems (2013-2014). A notable trajectory shows increasing integration of cognitive modeling with motion planning, alongside exploration of Brain-Computer Interfaces for virtual navigation. Recent work demonstrates particular strength in semantic decomposition of urban environments and time-space constrained task scheduling. His scientific contributions have earned significant recognition: Rennes city medal (2009) for research excellence Second prize at Deutsch Telekom Awards (FMX 2008) for TopoPlan/MKM integration As an active researcher and educator, Lamarche advises students through Université de Rennes 1 while leveraging INRIA resources and Golaem industry partnerships. His publication record indicates sustained grant funding, particularly through INRIA channels, with collaborative projects extending to neuroscience applications via Brain-Computer Interface research. The MimeTIC team affiliation provides infrastructure for multimodal interaction research in complex virtual environments. Lamarche's laboratory work through MimeTIC focuses on developing practical implementations of virtual human autonomy systems. His research group maintains strong industry connections via Golaem, which commercializes crowd simulation technology. Current efforts emphasize semantic understanding of virtual urban spaces and robust path planning under dynamic constraints, building on foundational work in topological navigation and behavioral decision systems.
Emmanuel Grolleau is a Full Professor at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique) specializing in real-time systems. He is affiliated with the LIAS laboratory (Laboratoire d'Ingénierie des Applications de la Sensorique) where he leads the Real Time Team. His work bridges theoretical scheduling principles with practical embedded system implementations across multiple domains. Professor Grolleau's primary research interests include: Real-Time Scheduling: uniprocessor, multiprocessor, and distributed scheduling with practical considerations like transactions and precedence constraints Model-Based Systems Engineering (MBSE): developing bridges between UML-MARTE and AADL to real-time scheduling tools Unmanned Aerial Vehicles (UAVs): autopilot architecture design and optimization Energy Systems: co-heading the LabCom ANR Laboratoire d'Insertion des Énergies Nouvelles et d'Optimisation des Réseaux (LIENOR) His publication record demonstrates a clear progression from fundamental scheduling theory to applied work spanning avionics, drone technology, and power systems. Recent work shows strong focus on UAV autopilot architectures, model-based frameworks for real-time systems, and energy management in power distribution networks. Professor Grolleau serves on multiple prestigious program committees including Real-Time Networks & Systems (RTNS) since 2012, ACM/SIGAPP Symposium On Applied Computing (SAC) since 2015, DETECT since 2018, and DroneSE in 2023. He has led significant research projects such as PIA CORAC Panda and FUI WARUNA, which developed the Time4Sys pivot meta-model to connect theoretical scheduling with practical implementation. His collaborative work extends across multiple institutions and industries, with publications spanning real-time scheduling theory, UAV systems, energy management, and avionic architectures. The consistent thread through his work is the practical application of real-time scheduling principles to solve complex engineering problems in safety-critical systems.
Guillaume Mercere is a Full Professor in Automatic Control and Systems at ENSIP (Ecole Nationale Supérieure d'Ingénieurs de Poitiers), University of Poitiers. He maintains dual affiliations with Laboratory LIAS at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil, conducting research in system identification and control theory. Professor Mercere teaches automatic control and signal processing at the Master's level, with additional expertise in numerical optimization, machine learning, and time series analysis. His teaching materials are available upon request, reflecting his commitment to educational transparency. Research Focus: Model learning, system identification, estimation theory, state space modeling, gray box modeling, linear parameter varying (LPV) systems, linear fractional representation (LFR), and subspace-based methods Application Areas: Electrical engineering, aeronautics, heat transfer, flexible/cable-driven manipulators, vehicle tire/road interactions, and image processing Analysis of his recent publications reveals a strong emphasis on recursive estimation methods (particularly total least squares), theoretical developments in LPV system representations, predictive control methodologies, and noise covariance estimation for Kalman filtering. His work bridges theoretical advances in identification methodologies with practical applications across multiple engineering domains, demonstrating both depth and breadth in his research program. Professor Mercere leads the Automatic Control Team at Laboratory LIAS, where he collaborates with researchers on theoretical and applied projects. His research group focuses on developing identification methodologies with practical implementation in real-world engineering systems, maintaining an active publication record through 2025 that demonstrates ongoing contributions to the field of system identification and control engineering.
Sandrine Moreau is an Associate Professor in Automatic Control and Systems at the National Higher School of Engineers of Poitiers (ENSIP), part of the University of Poitiers. She is affiliated with the LIAS (Laboratory of Informatics and Systems of Angers) laboratory, with offices at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil. Dr. Moreau's research spans multiple areas within electrical engineering and control systems, with particular focus on electric machine diagnosis, fault detection and tolerant control, wind energy conversion systems, and permanent magnet synchronous motors. Her work demonstrates expertise in parameter estimation techniques, haptic interfaces, and power electronics applications. She has developed sophisticated control algorithms for various electromechanical systems, with emphasis on sensorless operation and robust performance under fault conditions. Analysis of her recent publications shows a strong trend toward practical implementations of control systems for renewable energy applications, particularly wind turbines, alongside continued work on fault diagnosis in electric machines. Her research combines theoretical developments with experimental validation, as evidenced by numerous papers describing hardware implementations and test bed validations. The interdisciplinary nature of her work bridges electrical engineering, control theory, and power systems. Dr. Moreau maintains active collaborations with researchers across France and internationally, as indicated by her extensive publication record with co-authors from various institutions. Her work appears in high-impact journals including IEEE Transactions on Industrial Electronics, Control Engineering Practice, and Sensors, demonstrating the relevance and quality of her research contributions to the field.
Eleanor Venn serves as a Researcher at Ulster University within the Belfast School of Art, part of the Faculty of Arts, Humanities & Social Sciences. Based at the Belfast campus (2-24 York Street, Belfast, BT15 1AP), she bridges traditional art practices with advanced engineering principles. Her research focuses on the interdisciplinary field of mechatronics, where mechanical engineering, electronics, and computer science converge with artistic expression. This unique specialization enables innovative explorations at the intersection of technology and creative practice. Ms. Venn's work represents a cutting-edge approach to integrating technological systems within artistic frameworks, contributing to the evolving landscape of digital and interactive art forms. Her position as Research Associate in Engineering/Mechatronics highlights Ulster University's commitment to cross-disciplinary research initiatives. She maintains active research connections through her affiliation with Art and Design Research at Ulster University and can be contacted via e.venn@ulster.ac.uk for academic collaboration and research inquiries.
José Rouillard is a Lecturer-Researcher in Computer Science (section 27) at Université de Lille, affiliated with the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille) where he works in the Brain-Computer Interface (BCI) research team. His academic position combines teaching responsibilities with active research in human-computer interaction, particularly focusing on novel interface technologies and assistive applications. Dr. Rouillard's primary research interests center around Brain-Computer Interfaces with particular expertise in Steady-State Somatosensory-Evoked Potentials (SSSEP). His work explores multimodal interaction techniques, virtual reality integration with BCI systems, and applications for individuals with motor disabilities such as Duchenne muscular dystrophy. Recent publications (2023-2024) demonstrate continued innovation in BCI technology, including Wizard of Oz studies on user perception, advanced SSSEP recording techniques with cEEGrid systems, and multimodal cobot interaction frameworks using MQTT protocol. His research bridges theoretical neuroscience with practical applications for assistive technologies. As an educator, Dr. Rouillard has created one of the most comprehensive App Inventor 2 teaching resources available, with 76 detailed projects covering the full spectrum of mobile application development. His course materials progress from basic applications to advanced implementations involving Bluetooth communication with Arduino, Firebase database usage, and AI APIs including OpenAI's ChatGPT and DALL-E. His teaching spans multiple academic years, with documented student projects from 2013 through 2023 across various Master's programs including MMD IAE, MIAGE, and e-Services. Supervised PhD thesis: "Hybrid brain-machine interface to overcome disability caused by Duchenne muscular dystrophy" (Alban Dupres, 2016) Supervised PhD thesis: "Filtrage somesthésique pour des interfaces cerveau-ordinateur utilisant des stimulations vibro-tactiles" (Jimmy Petit, 2022) Dr. Rouillard maintains a strong educational presence through his extensive online resources, including YouTube video tutorials, NextCloud file sharing for course materials, and detailed project guides. His student projects demonstrate practical applications of mobile development across diverse domains including health monitoring, gaming, social networking, and educational tools. The breadth of his educational impact is evident in the hundreds of student applications documented from 2013-2023, showcasing his commitment to practical, hands-on learning in computer science education.
Yassine Ouhammou is an Associate Professor in computer science at École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), where he is a member of the "Real-Time and Embedded Systems" research team at LIAS laboratory. His work focuses on critical real-time embedded systems with applications in avionics, drones, and control command systems. His research interests include: Software architectures for critical real-time embedded systems Design and analysis of critical real-time systems regarding their temporal performances Model-based design using domain specific languages (MoSaRT, AADL, Capella, Time4Sys) Real-time scheduling and dimensioning Knowledge repositories for expertise capitalization, reuse and reproducibility Collaborative engineering for complex systems design Model-driven engineering and formal methods Dr. Ouhammou's publication record shows consistent contributions to real-time systems, embedded architectures, and model-based approaches. His recent work demonstrates increasing emphasis on drone technology and avionic applications, with numerous collaborations on autopilot design, scheduling optimization, and verification methodologies. His research bridges theoretical computer science with practical aerospace engineering challenges, addressing safety-critical aspects of embedded systems. Professional service includes: PC Member of MEDES 2020, INISTA 2020, WIMS, SADASC 2020 PC Chair of DETECT 2019 General Co-Chair of RTNS 2018 PC Member of multiple international conferences since 2017 Dr. Ouhammou collaborates extensively with researchers in the field of real-time systems, particularly with Emmanuel Grolleau and other members of the LIAS laboratory. His work often involves interdisciplinary teams addressing complex challenges in aerospace and embedded systems engineering, with practical applications in drone technology and avionic systems.
