جستجوی استاد راهنمای دانشگاهی

Laurent Tapieمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Biomedical Engineering
• Medical Devices
• +۵ مورد دیگر

Laurent Tapie is a Senior Lecturer at Paris Descartes University with a focus on Biomedical Engineering, Mechanical Engineering, and CAD/CAM . As Deputy Director of the URB2i research unit and manager of the PlatiNum platform , he coordinates the 3d4care.org consortium . His academic background includes a Doctorate in Mechanical Engineering from École Normale Supérieure de Cachan and authorization to direct research (HDR) from Université Paris 13. Research Interests: Mechanical Engineering, Biomedical Engineering, Medical Devices, CAD/CAM, Shaping of Biomaterials Theses Supervised: 3D evaluation of dento-prosthetic joints, impact of CAD/CAM on dental prosthesis integrity, and metrological evaluations of prostheses. Publications: His work spans dental CAD/CAM systems, surface integrity of prostheses, additive manufacturing, and 3D printing applications during the COVID-19 pandemic . Recent articles focus on data dispersion in CAD/CAM chains, tool-material influence on roughness, and numerical workflow standardization . Scientific Award: Prix du comité scientifique de la session recherche (2019). Projects: Currently leads initiatives like ProGéoMéca (Labex LaSIPS), Bio-Dents (CNRS Biomimicry), and additive process development for multi-material dental aligners .

• Mesh generation
• Numerical simulation
• Finite element methods
• +۵ مورد دیگر

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).

Paul-Eric DOSSOUمشاهده پروفایل

پژوهشگر

• Industry 5.0
• Logistics and Supply Chain Optimization
• Digital Twin
• +۴ مورد دیگر

Paul-Eric DOSSOU is a Researcher at ICAM’s Grand Paris Sud campus, specializing in Societal and Technological Transitions of Companies. His work focuses on Industry 5.0, decision-aided systems, logistics optimization, and digital twin applications. He leads projects like Plateforme Life, Urban Logistics, and Healthcare 4.0, aiming to enhance SME efficiency through sustainable digital transformation. Expertise includes AI-driven supply chain management, cybersecurity for legacy systems, and robotic solutions for archaeology. He collaborates with industry partners to bridge theoretical research and practical applications, emphasizing human-centric automation and environmental sustainability. Contact: paul-eric.dossou@icam.fr | Mobile: +33 6 17 81 33 43 Research contributions span over 30 peer-reviewed articles since 2003, addressing topics from energy audits in the nautical industry to multi-agent systems in supply chain optimization.

Hervé VERJUSمشاهده پروفایل

دانشیار

• Decision aiding software systems
• Information fusion methods
• Business process engineering
• +۳ مورد دیگر

Hervé VERJUS is an Associate Professor in Computer Science at Université Savoie Mont Blanc, affiliated with Polytech Annecy-Chambéry and the LISTIC Laboratory. He has held this position since 2002. His research focuses on decision-aiding software systems under uncertainty, integrating heterogeneous data, AI-driven anomaly detection, and dynamic adaptable architectures. Key areas include information fusion models, business process mining, and distributed software design. Education: BSc/MSc in Mathematics/Computer Science (University of Savoie, 1996), MSc in Information Systems (University of Grenoble, 1997), PhD in Computer Science (University of Savoie, 2001) under Professors Jacky Estublier and Flavio Oquendo. Research Applications: Snow avalanche risk assessment (mountain decision support), human resource processes, manufacturing systems, and tourism itinerary recommendations. Previously leveraged π-calculus for system architecture design. Current projects emphasize software prototypes for proof-of-concept validation. Academic Roles: Vice-Dean of IAE Savoie Mont-Blanc (2013–2018), permanent faculty at IAE Savoie Mont-Blanc. Member of LSR Lab (CNRS UMR 5526) and LLP Lab during his PhD and early career. Professional Background: Founded and managed an IT company (1996–1999) before academia. Worked in IT, communications, and NGOs from 1993–1999. Contact: Office A115 at LISTIC, reachable via +33(0)4 50 09 65 94. Personal website: https://hverjus.github.io/

Vincent BARRAمشاهده پروفایل

استاد

• Data Analysis
• Image Processing
• Video Processing
• +۶ مورد دیگر

Vincent BARRA is a full professor in Computer Science at the LIMOS lab of Clermont-Auvergne University and CNRS. He serves as Vice dean of Clermont-Auvergne-INP (education and training), Assistant director of LIMOS, and Artificial Intelligence Special Advisor for Clermont-Auvergne University. He is also a member of the scientific board and Executive committee of MIAI Cluster. His academic work is primarily conducted through ISIMA, the engineering school in computer science of Clermont-Auvergne INP. Professor BARRA's research focuses on data analysis from both methodological and applicative perspectives. His work spans image and video processing, mesh processing, computational geometry, and machine/deep learning techniques. His interdisciplinary research connects computer science with applications in medical imaging, geothermal systems, polymer dynamics, mental health diagnostics, semiconductor manufacturing, and environmental monitoring. His publications demonstrate consistent innovation in developing algorithms for segmentation, feature extraction, and pattern recognition across diverse domains. The analysis of his recent publications reveals strong trends toward deep learning applications in specialized domains. His work shows increasing focus on medical applications (depression diagnosis, preterm birth prediction), geoscience (geothermal systems analysis), and industrial applications (semiconductor metrology, structural health monitoring). A consistent theme across his research is the development of robust, domain-specific deep learning architectures that address unique challenges in data analysis across different scientific fields. Professor BARRA maintains active collaborations across multiple institutions and disciplines, as evidenced by his extensive co-authorship network. His work bridges theoretical computer science with practical applications in diverse fields, demonstrating a commitment to solving real-world problems through innovative computational approaches. He leads research within the LIMOS laboratory, which focuses on computer science, modeling, and systems optimization.

• Electromagnetic Compatibility (EMC)
• Electrical Engineering
• Embedded Systems
• +۳ مورد دیگر

Fabrice Duval is a Researcher-Lecturer and Head of the Technical Research and Transfer Platform at CESI. He holds a Habilitation to supervise research from Rouen University (2016) and a PhD in Electrical Engineering from Université Paris-Saclay (2007). His research focuses on Industrial Performance Optimization, Electromagnetic Compatibility (EMC), and robotics-driven manufacturing systems. He leads the 'Engineering and Numerical Tools' research team and manages the CESI FabLab. His educational activities include teaching Electromagnetism, Electricity, and Embedded Systems to engineering students (1st/2nd years and masters). He has supervised numerous PhD theses, including those on EMC in electric vehicles, motor impedance modeling, and PEEC-based EMI analysis. His work emphasizes practical applications, such as the CoRoT project (2016-2021) improving flexible manufacturing systems with autonomous/collaborative robots. Key research themes include robotics task allocation (e.g., auction-based optimization), digital twin integration for resilient systems, and synthetic data for industrial object detection. His publications span peer-reviewed journals and conferences, addressing topics like magnetic shielding effectiveness in automotive applications and modular mobile manipulator coordination. Awards: While no specific honors are listed, his extensive supervision record and participation in high-impact projects reflect his academic standing. He actively organizes scientific events and contributes to industry-research partnerships. Lab involvement: As FabLab manager, he bridges academic research with hands-on innovation, fostering experimental prototyping in electromechanical systems and smart manufacturing technologies.

Mohamed Hedi Karrayمشاهده پروفایل

استاد

• Ontology-Based Engineering
• Semantic interoperability
• Computer Aided Process for Manufacturing
• +۳ مورد دیگر

Mohamed Hedi Karray is a Professor at the Department of Scientific Systems, National School of Engineering Tarbes. He holds a PhD and Habilitation à Diriger des Recherches (HDR), both in Applied Informatics and Ontology-based Engineering, and his research focuses on semantic technologies for decision-making and interoperability in manufacturing systems. Education: HDR (2019, Toulouse INP), PhD (2012, University of Franche-Comté), MSc (2008, Lyon 1), BSc (2007, Tunis University). His research bridges Ontology-Based Engineering, Semantic Interoperability, and E-Systems/e-services Architectures, with applications in Collaborative Product Lifecycle Management and Computer-Aided Process for Manufacturing. He teaches Object-Oriented Programming, Analysis of Algorithms, and ICT trends. Email: mohamed-hedi.karray@uttop.fr

• Additive Manufacturing
• Industrial Systems
• Product Design
• +۳ مورد دیگر

Matthieu Rauch serves as a Professor in the Product Design and Industrial Systems Department at École Centrale Nantes, affiliated with the Research Institute in Civil and Mechanical Engineering (GeM). His work bridges advanced manufacturing research with industrial applications across aerospace, naval, and transportation sectors. His research expertise includes: Wire Arc Additive Manufacturing (WAAM) and Laser Metal Deposition process optimization Multiphysics modeling of titanium/aluminum alloy deposition Real-time process monitoring systems for arc-based DED Cost-complexity analysis frameworks comparing additive/subtractive manufacturing Tool path generation for thin-wall structures Hybrid manufacturing methodologies for large-scale components Recent publications (2021-2024) reveal consistent innovation in metallic additive manufacturing, with emphasis on thermal management, defect reduction, and industrial scalability. Key contributions include novel CTWD control models, gas-particle flow analysis for powder efficiency, and methodologies for polymer large-component fabrication. His work demonstrates strong cross-disciplinary integration between computational mechanics and production engineering. Rauch actively contributes to GeM's research ecosystem at École Centrale Nantes, focusing on translating academic advances into practical industrial solutions for complex manufacturing challenges. No information regarding student supervision, grant funding, or scientific awards was evident in the source documentation.

• Industrial systems engineering
• Operational research
• Scientific computing
• +۶ مورد دیگر

David Garcia serves as Head of the Research and Innovation Department at CESI South-East region, affiliated with the Digital Innovation Laboratory for Businesses and Learning to Support Territorial Competitiveness (LINEACT). His work focuses on industrial systems engineering, operational research, and numerical simulation with particular expertise in production systems modeling. Dr. Garcia earned his Doctorate from Ecole Supérieure de Chimie, Physique Electronique de Lyon (ESCPE) with his 2002 thesis on polymer injection process optimization (awarded highest honors). He also holds an Advanced Study Diploma in IMAGE from Joseph-Fourier University - Dijon (1998, with honors) specializing in instrumentation and image computing. His research spans production systems engineering, with evolving focus from fundamental polymer injection molding processes to contemporary applications in digital twin technology and Industry 4.0/5.0. Key interests include dynamic scheduling of flexible manufacturing systems, human-system interactions in production environments, and image processing for industrial applications. His work demonstrates a clear trajectory from material science fundamentals to advanced computational approaches for modern manufacturing challenges. Analysis of his publication history reveals consistent contributions to polymer processing optimization that evolved toward digital manufacturing systems. His recent work focuses on digital twin implementation for micro learning factories, affordance characterization in industrial work environments using deep learning, and scheduling frameworks for Industry 5.0 contexts that balance human creativity with machine precision. Dr. Garcia actively supervises research, currently guiding Sarah Ouarab's doctoral work on characterizing affordances in human cyber-physical production systems through multimodal perception of human-system interactions. He serves as Micro Learning Factory (MLF) platform referent and participates in thesis juries for related engineering disciplines. As the regional coordinator for research and innovation activities at CESI South-East, he leads the LINEACT research team focusing on management and decision-making in production systems, human-system interactions, and educational innovation through project-based learning approaches across preparatory and engineering cycles.

Véronique FALKمشاهده پروفایل

استاد

• Chemical Engineering
• Powder Technology
• Process Design
• +۳ مورد دیگر

Véronique FALK is a Professor and Deputy Director at ENSGSI (Groupe INP) in Nancy, France. She coordinates the Pharma+ Track and oversees 2nd-year engineering studies. Her academic roles include Deputy Director of Studies and leadership in chemical engineering education. She holds a 1991 Engineering diploma from ENSIC and a DEA in Process Engineering from LSGC. Her research at the LRGP laboratory focuses on product engineering, powder technology, mixing, granulation, compression, and flow behavior . Key areas include pharmaceutical processes, sustainable development, and material science applications in cosmetics and energy storage. Recent work explores silica nanoparticles' impact on dustiness, 3D printing for soil science, and ontology-based decision systems for emulsion design. Dr. FALK teaches core engineering courses such as Physics/Chemistry, Process Design, and Chemical Reaction Engineering. She actively contributes to curriculum development in systems innovation and pharmacist engineering programs. Her research bridges theoretical mechanics (e.g., granular material modeling) with practical applications like battery electrode design and cosmetic formulation 4.0.

Andrii Yatskulمشاهده پروفایل

دانشیار

• Agricultural Machinery Design
• Precision Agriculture
• Tillage Techniques
• +۴ مورد دیگر

Andrii Yatskul is an Associate Professor in Agricultural Equipment at UniLaSalle, specializing in the Department of Agronomic and Animal Sciences. His work focuses on agromachinery innovation, precision agriculture, and mechanical engineering applications in agriculture. He holds a PhD in Life Sciences from the University of Burgundy (2016), a Master in Technical and Economic Management of Agricultural Equipment from AgroSup Dijon (2012), and an Engineering degree in Mechanical Engineering from the National Technical University of Kirovograd (Ukraine, 2011). Teaching Responsibilities: Course Leader for the 4th-year Agronomy and Agro-industry Engineering program's 'Agroequipment and New Technologies' course Supervision of student projects and theses in agronomy and agro-industry Main courses taught: Analytical Mechanics, Strength of Materials, Computer-Aided Design (CAD), Manufacturing Processes for Machines, and Physical Principles of Agricultural Equipment Research Focus: Dr. Yatskul’s expertise spans agromachinery design, energy efficiency in agricultural equipment, soil-tool interaction, and sustainable crop production techniques. He is a member of the Agromachinery and New Technologies Chair, emphasizing innovation in machinery for precision agriculture and environmental sustainability. Publications Trends: His recent work addresses energy efficiency in air-seeders, tractor-tire-tool systems, and robotics education for agronomy students. Key themes include optimizing machinery performance, reducing environmental impact, and advancing educational methodologies for equipment innovation. Labs & Collaborations: Engaged in equipment development for soil impact evaluation and sustainable tillage practices through collaborative projects with industry partners. Active in experimental validation of machinery parameters and field testing of agricultural vehicles.

Patrick Balluetمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Industrial Engineering
• Solid Mechanics
• +۴ مورد دیگر

Patrick Balluet serves as an Associate Professor of Mechanical Engineering at Ecole Centrale de Lyon. He earned his engineering diploma from ENISE in 1985 and began his academic career in 1995. His teaching responsibilities span multiple engineering disciplines across the Saint-Etienne Campus, integrating theoretical knowledge with industrial applications. Education Engineering Diploma, ENISE, 1985 Research and Teaching Expertise Professor Balluet specializes in Mechanical Engineering with dual focus on precision measurement systems and sustainable design methodologies. His work bridges Computer-Aided Design (CATIA/SolidWorks), Metrology, and Eco-Design within Product Lifecycle Management frameworks. He actively develops curricula for Industrial Engineering and Solid Mechanics, emphasizing practical implementation of green engineering principles in manufacturing processes. Instructional Activities CAD and Mechanical Engineering Technology (CATIA, SolidWorks) Product Lifecycle Management and Eco-Design Metrology in Mechanical Engineering Industrial Engineering and Solid Mechanics

Xavier Legrandمشاهده پروفایل

استاد

• Mechanical Design
• Textile Mechanics
• Composite Materials
• +۳ مورد دیگر

Xavier Legrand is a Full Professor at École Nationale Supérieure des Arts et Industries Textiles (ENSait) in Roubaix, France, where he serves as Team Leader of the 'Mechanic for Textiles and Composite' research group at Laboratoire Génie et Matériaux Textiles. With academic positions dating back to 2002, he has established himself as a leading expert in textile mechanics and composite materials engineering. His educational background and professional development have positioned him at the forefront of textile composite research, focusing on mechanical design, modeling, and material characterization. His research expertise spans across multiple critical areas of composite materials development. Mechanical design of devices and processes for fiber orientation control Testing and modeling of textile structures Data analysis of mechanical test results Development of 3D textile structuring technologies His publication record demonstrates significant contributions to the field, with emphasis on textile reinforcement techniques, composite manufacturing processes, and material behavior analysis. Recent work shows a strong focus on tufting technology for through-the-thickness reinforcement, precision slitting for wrinkle prevention, and sustainable material development using textile waste. Scientific Recognition: Innovation prize in 2009 awarded by the PRES Lille Nord de France for the Raid OUTILS project 16 PhD students supervised 23 patents granted 60 peer-reviewed journal articles 100+ international conference presentations Professor Legrand actively collaborates on major research projects including Comp3DRe (stamping of stitched preforms), Mappic 3D (development of composite stiffener crossings), and ALCAS (3D textile structuring technology). His teaching portfolio includes Computer-Aided Design (CAD), Innovation, Composite Process, and Mechanics of Composite Materials courses.

Mauricio CAMARGOمشاهده پروفایل

استاد

• Innovation Engineering
• Sustainability
• Decision Support Systems
• +۷ مورد دیگر

Mauricio CAMARGO is a Professor and Director of the ERPI Laboratory at École Nationale Supérieure de Génie des Systèmes Industriels (ENSGSI) in Nancy, France. His academic roles include teaching courses such as Decision Support in Innovation, Technological Resources Management, and Innovation Methodologies. He leads research in innovation engineering, focusing on sustainable value creation, distributed recycling, and additive manufacturing. His work integrates multidisciplinary approaches to address ecological and industrial challenges. Education: 1997 – Master of Technology and Innovation Management, Simon Fraser University, Vancouver 1995 – Chemical Engineering Degree, Universidad Nacional de Colombia Research Interests: His research emphasizes sustainability, decision support systems, and innovation ecosystems. Key areas include: – Innovation Engineering : Developing methodologies for strategic intent and collaborative innovation projects. – Circular Economy : Exploring distributed recycling via additive manufacturing and polymer recovery. – Decision-Making : Dynamic preference modeling and multicriteria analysis for evolving decisions. – Sustainable Systems : Assessing ecological transitions and roadside ecosystem services. Innovation Labs & Leadership: As ERPI Lab Director, he oversees initiatives like the Lorraine Fab Living Lab and Green Fablab. His work bridges academic research with practical applications in smart campuses, energy systems, and community-driven innovation. Labs/Teams: ERPI Laboratory, involved in cross-sectoral projects addressing sustainability, technology transfer, and regional innovation ecosystems.

Titus Zahariaمشاهده پروفایل

استاد

• Computer Vision
• 3D Point Cloud Compression
• Neural Networks
• +۵ مورد دیگر

Titus Zaharia is a Professor at Telecom SudParis, affiliated with the SAMOVAR research department. His work focuses on computer vision, 3D data compression, neural networks, and augmented reality applications. He has contributed extensively to standards like MPEG-4 and MPEG-7, particularly in 3D mesh compression and multimedia indexing. Zaharia leads research in assistive technologies for visually and hearing-impaired individuals, developing systems like DEEP-HEAR and wearable devices for navigation assistance. His work bridges theoretical advancements with practical industrial applications, such as optimizing AR systems for manufacturing and improving public transportation prediction through machine learning. Zaharia has collaborated on projects like the INVENIO platform for content reuse in multimedia production, and his contributions span over 20 years of academic and applied research. Key research areas include dynamic point cloud compression, lightweight neural network libraries (e.g., FasterAI), and multimodal fusion for video advertising and accessibility. He has published over 100 peer-reviewed papers in journals like IEEE Access and Image and Vision Computing, and presented at conferences including CVPR, ICCV, and ISMAR. His research emphasizes real-world impact, addressing challenges in efficient data representation, human-centric technology, and industrial automation.