جستجوی استاد راهنمای دانشگاهی

Philippe Cinquin is a Professor of Medical Informatics and Director of TIMC-IMAG (UMR5525), a CNRS-Université Joseph Fourier research unit. He leads the CAMI (Computer Assisted Medical Interventions) Labex and co-heads INSERM's CIC-IT 803 clinical investigation center. With a PhD in Applied Mathematics and Medical Doctor qualification, he pioneered surgical robotics and computer-aided interventions since 1984, benefiting over 100,000 patients through startup innovations. His recent work focuses on symbiotic implantable devices, energy scavenging for medical implants, and hydrogen therapy. He received the 2013 CNRS Innovation Award and 2014 Ambroise Paré Surgical Award. Research interests span biomimetic devices, medical robotics, and innovative therapies including transdermal hydrogen delivery. He has developed implantable systems like intestinal reactors and biosensors, with applications in diabetes treatment and pandemic response. His work integrates mathematics, signal processing, and nanotechnology to advance minimally invasive surgery and autonomous medical implants. Key contributions include virtual fluoroscopy systems for navigation, enzymatic biofuel cells, and reusable PPE sterilization methods during the pandemic. His interdisciplinary teams collaborate across engineering, medicine, and computer science to address clinical challenges through technological innovation. Education: PhD in Applied Mathematics; Medical Doctorate Grants & Startups: Founded multiple companies commercializing surgical navigation systems and diagnostic devices Labs: TIMC-IMAG, CAMI Labex, CIC-IT 803 clinical innovation center

• Computer-Assisted Medical Interventions (CAMI)
• Medical Robotics
• Biomimetic Medical Devices
• +۴ 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/

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

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

Laurent ALFANDARI is a Full Professor at ESSEC Business School, specializing in Operations Research and Decision Analytics within the Information Systems, Decision Sciences and Statistics (IDS) Department. He has held key academic roles including Academic Co-Director of the ESSEC-CentraleSupélec Master in Data Sciences & Business Analytics (2019–2023) and Coordinator of the Operations & Data Analytics PhD concentration (2018–2021). His research focuses on optimization techniques applied to supply chains, logistics, healthcare, and disaster preparedness. He has authored over 50 journal articles in top venues like European Journal of Operational Research and Transportation Science. Education : - Doctorate in Operations Research (Université Paris Dauphine-PSL, 1999) - Master of Research in Management Science (Université Paris Dauphine-PSL, 1995) - M.Sc in Management (ESSEC Business School, 1993) - Bachelor in Mathematics & Social Sciences (Université Paris Dauphine-PSL, 1990) Research Interests : His work addresses complex optimization challenges in urban logistics, healthcare networks, and disaster response. Notable contributions include freight-on-transit systems, autonomous robot delivery, and pandemic intervention sequencing. He emphasizes practical solutions for real-world problems through mixed-integer programming and robust optimization frameworks. Teaching & Mentoring : Teaches Decision Analytics and Operations Research across ESSEC programs (Grande École, Executive MBA, PhD). Supervised 14 PhD theses, including recent works on sustainable last-mile deliveries and healthcare analytics. Awards & Activities : 2020 ESSEC Top 4 Teaching Award, Vice-President of ROADEF (2012–2015), and leader in industrial collaborations with SNCF and Aid-Impact. Active in organizing academic conferences and serves as a journal reviewer for Annals of Operations Research and others. Labs & Collaborations : Member of LIPN (Sorbonne Université) and LAMSADE (Paris Dauphine). Consults for organizations like Babcock-Wanson and contributes to public-sector projects like EDF's ROADEF challenge.

• Operations Research
• Decision Analytics
• Supply Chain Management
• +۵ 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.

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

Juliette Chabassier is a Researcher at the MAGIQUE-3D project team within Inria Bordeaux Sud-Ouest and affiliated with Université de Pau et des Pays de l'Adour . She holds a Ph.D. in Applied Mathematics from École Polytechnique (2012), advised by Patrick Joly and Antoine Chaigne. Roles: Junior Research Scientist (since 2013), Post-Doc at University of Pau (2012-2013) Research Focus: Acoustics of musical instruments, wave propagation modeling, numerical simulation of piano and wind instruments, energy-preserving discretization schemes, and viscothermal effects in ducts. Her work emphasizes physical modeling and computational acoustics , particularly in piano acoustics, wind instrument design, and heritage instrument digitization. She develops tools like OpenWind for simulating instrument responses and collaborates on projects involving piano soundboard analysis and historical instrument reconstruction. Her recent articles explore topics such as: Simulation of brass instruments using finite element models Thermoviscous effects in conical tubes Energy-conserving discretization for nonlinear wave equations Digital twins for heritage instruments like Besson trumpets She advises doctoral students including Elvira Shishenina and Izar Azpiroz , focusing on applied mathematics and acoustics. Her contributions include advanced numerical methods for acoustic-elastic coupling and boundary layer phenomena in exponential media. Current projects involve homogenization techniques for porous materials, real-time instrument simulation tools, and interdisciplinary work on acoustics education through open-source software.

• Acoustics
• Mathematical Modeling
• Numerical Analysis
• +۳ مورد دیگر

Aly CHKEIR is an Associate Professor at the University of Technology of Troyes (UTT), holding the 'SilverTech' chair focused on technologies for healthy aging and elderly autonomy support. He earned his PhD in biomedical sciences from the University of Technology of Compiègne (UTC) in 2011, specializing in uterine electrical activity modeling. His research emphasizes biomedical signal processing, decision-making methodologies, and applications in frailty prevention among the elderly. Education: PhD in Biomedical Sciences, UTC, France (2011). Research interests include signal segmentation/classification, biomedical engineering, and solutions for aging populations. Notable projects include the SilverTech chair's holistic approach to aging technologies and the PiCADo initiative for in-home medical monitoring systems. Recent work focuses on AI-driven diagnostics (e.g., MRI segmentation, cough analysis), radar-based mobility assessment, and voice recognition for health monitoring. His contributions span sensor fusion, gait analysis, and non-invasive health tracking tools. His lab collaborations include Doppler radar systems for gait speed measurement, thermal imaging for health indicators, and AI-enhanced geriatric assessment tools. Projects like ARPEGE and PiCADo highlight his commitment to deploying innovative healthcare solutions for aging populations.

• Biomedical Signal Processing
• Decision-Making Methodologies
• Frailty Prevention in Elderly
• +۳ مورد دیگر

Benjamin Gregoire is a Researcher at INRIA Sophia Antipolis , affiliated with the Marelle Team . His work focuses on compilers , formal verification , cryptography , proof assistants , and type theory . Education : PhD in Computer Science, Université Paris 7 (2003) Research Interests : Dr. Gregoire specializes in formal verification of cryptographic systems, compiler design for security-critical applications, type-based termination, and proof assistants like Coq. His projects include the INRIA-Microsoft Research Joint Lab , ANR Scalp (Security of Cryptographic Algorithms with Probabilities), and ANR DeCert (Certified Decision Procedures). He led the Mobius project (IP FET) and contributed to Java security validation via the JACK tool . Scientific Awards : He received the Best Paper Award at CRYPTO 2011 for 'Computer-Aided Security Proofs for the Working Cryptographer.' Advising & Collaborations : Dr. Gregoire has advised PhD students Michael Armand , Julien Charles , Sylvain Heraud , and Jorge-Luis Sacchini , with former advisee Cesar Kunz . He collaborates with teams including Marelle and INRIA-Microsoft Research .

• Compilers
• Formal Verification
• Cryptography
• +۳ مورد دیگر

Marc Donias is an Associate Professor at the University of Bordeaux, affiliated with the IMS (Laboratory of Integration, Material to System) which is part of the College of Engineering. He is a member of the Signal and Image Processing research group and works within the MOTIVE team, focusing on advanced image processing and computer vision applications. His research interests span across multiple domains including image processing, signal processing, computer vision, machine learning, and seismic data analysis. Dr. Donias has made significant contributions in texture analysis, image colorization algorithms, and geological data interpretation. His work often bridges theoretical advances with practical applications in agriculture, materials science, and geophysics. Analysis of his recent publications reveals a strong trend toward deep learning applications in image processing, particularly generative models for image colorization and object detection. His work demonstrates interdisciplinary reach, connecting computer vision with agricultural technology, materials science, and geophysical interpretation. The publications show consistent collaboration with researchers from the IMS laboratory, particularly with Yannick Berthoumieu and other members of the MOTIVE team. Dr. Donias has been actively involved in developing innovative approaches for seismic horizon reconstruction, texture analysis, and agricultural image processing. His work on SPD manifold learning for image colorization represents a sophisticated mathematical approach to a challenging computer vision problem. The practical applications of his research are evident in precision agriculture technologies and geological interpretation tools.

• Image Processing
• Signal Processing
• Computer Vision
• +۴ مورد دیگر

Stéphane Safin is a Lecturer and researcher in ergonomics at Télécom Paris, part of the Institut Polytechnique de Paris. He holds a PhD in ergonomic psychology from the University of Liège (2011) and conducted postdoctoral research at the University of Montreal. His academic roles include teaching interaction design, user-centered design methods, and overseeing design projects. He co-leads the Master's in Design program accredited with University of Paris Saclay and ENSCI-Les Ateliers. His research focuses on creative activity in design, particularly in architecture and industrial design, emphasizing cognitive processes and instrumental dimensions of creativity. Key areas include digital sketching, collaborative design, and the role of external representations (drawings, models) in creative processes. Notable projects include the ANR Social Touch Project (2017-2020) exploring tactile interfaces for social communication and the EU-funded DIALLS Project (2018-2021) on cultural literacy through text production. He leads the Interaction, Technology, Activity (Interact) research team within the Interdisciplinary Institute of Innovation (i3) lab. His work spans participatory design, emergency response systems, and co-creation methodologies for urban planning. Recent publications address topics like bicycle modal shift in urban France, haptic interfaces for remote communication, and co-design in geriatric care facilities. He has contributed to over 70 peer-reviewed articles, conference papers, and book chapters, with a focus on design cognition, ergonomics education, and sociotechnical systems. His teaching integrates theoretical and practical design methodologies, emphasizing interdisciplinary collaboration and user-centric approaches.

• Creative Design
• Human-Machine Interaction
• Cognitive Ergonomics
• +۵ 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.

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

Rachid Allam is an Associate Professor with HDR (Habilitation à Diriger des Recherches) at University of Poitiers, affiliated with both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA (École Nationale Supérieure de Mécanique et d'Aérotechnique). He is a member of the Laboratory LIAS (Laboratoire d'Ingénierie des Applications de la Sensorique) where he conducts research in microwave engineering and RF circuit design. Dr. Allam's research focuses on microwave engineering, particularly in HEMT mixers, noise analysis, RF circuit design, and wireless communications. His work spans theoretical modeling, circuit design, and practical implementation of microwave components. His research has significant applications in wireless communication systems, particularly in improving signal quality and component efficiency. Analysis of Dr. Allam's publications reveals a consistent focus on microwave components, particularly HEMT mixers and RF filters. His work demonstrates progression from fundamental device modeling to practical circuit implementation. The publications show strong expertise in noise analysis, conversion gain optimization, and high-Q filter design for wireless applications. His research bridges theoretical analysis with practical implementation challenges in microwave engineering. Dr. Allam has maintained an active research program with publications spanning from 1998 to 2011, demonstrating sustained contributions to the field of microwave engineering. His work shows collaboration with multiple researchers across different institutions, indicating strong professional networks within the academic community. As a faculty member with HDR qualification, Dr. Allam would have supervised PhD students and contributed to graduate education at University of Poitiers. His research has likely been supported by various grants, though specific funding sources are not mentioned in the available information. Dr. Allam is affiliated with the Automatic Control research team at Laboratory LIAS, which suggests his work intersects with control systems applications in microwave engineering. His research contributes to the broader goals of the laboratory in sensor applications and signal processing.

• Microwave Engineering
• RF Circuit Design
• HEMT Mixers
• +۳ مورد دیگر

Viviane Pasqui is a Lecturer and researcher at Sorbonne Université, affiliated with the Institute of Intelligent Systems and Robotics (ISIR), where she is a member of the ASIMOV research team. Her work focuses on assistive and rehabilitation robotics, particularly technologies for elderly support and mobility assistance. Her research interests include assistive robotics, rehabilitation engineering, human-robot interaction, smart walkers, postural stability, gait analysis, and gerontechnology. She has conducted extensive research on mobility assistance devices, including sit-to-stand support systems and intelligent walking aids, with an emphasis on user-centered design and clinical validation. The 15 most recent publications highlight a consistent focus on robotic assistance for rehabilitation and elderly care, with recurring themes in human motion modeling, transparency in control, real-time monitoring, and evaluation of assistive devices. Her work integrates robotics, biomechanics, and clinical insights to develop practical solutions for mobility challenges. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: There is no mention of students, advising roles, or research grants in the provided information. However, her long-standing collaboration with multidisciplinary teams suggests active participation in funded research projects, particularly in robotics and biomedical engineering. Labs and Teams: Viviane Pasqui is a core member of the ASIMOV team at ISIR, which specializes in assistive robotics and human-robot interaction. The team develops innovative robotic systems for rehabilitation and daily living support, combining engineering, medical, and human factors expertise.

• Assistive Robotics
• Rehabilitation Robotics
• Human-Robot Interaction
• +۷ مورد دیگر

Elisabeth Gavignet serves as an Associate Professor in Computer Science at the Institut National Supérieur du Professorat et de l'Éducation (INSPE) within Université Bourgogne. Her academic career spans multiple institutions including Le2i Dijon, IUFM de Bourgogne, and CRIN Nancy, reflecting her deep engagement with both computer science and educational technology domains. Her research centers on ontological frameworks and knowledge representation systems, with significant contributions to collaborative information systems, uncertain data modeling using modal logic, and musicological information management. Current projects include the Cocktail initiative for real-time analysis of food discourse on Twitter and the NEUMA platform for collaborative music score libraries. Her work bridges theoretical computer science with practical applications in archaeology, musicology, and educational technology. Dr. Gavignet's scholarly output demonstrates consistent focus on knowledge engineering applications across diverse domains. Her recent publications emphasize modal logic applications for uncertain data, collaborative digital libraries, and ICT integration in educational settings. This interdisciplinary approach connects computer science fundamentals with domain-specific challenges in cultural heritage and education. Administratively, she has held significant responsibilities including directing CAPET preparation programs, leading the Informatique-Économie et gestion network since 2011, and coordinating distance learning initiatives. Her laboratory affiliations include LIB (since 2018) and Le2i Dijon (2009-2018), where she contributed to multiple ANR-funded research projects.

• Ontologies
• Collaborative Systems
• Modal Logic
• +۳ مورد دیگر

Mathieu Valette is a University Professor at the Institut National des Langues et Civilisations Orientales (INALCO) in Paris, France, where he serves as Director of the Texts, Computer Science, Multilingualism department since 2021. He leads the ERTIM research team and coordinates the ANR AID ASTRID GECKO project on cognitive warfare since 2023. Previously, he served as President of section 7 (language sciences) of the CNU from 2014-2019 and Director of ERTIM from 2010-2019. Professor Valette's research focuses on the intersection of linguistics, computational methods, and text analysis. His work spans corpus semantics, statistical analysis of textual data, epistemology of natural language processing, and the characterization of harmful content. He has developed methodologies for subjective data mining and has made significant contributions to textual lexicology and automatic language processing. His research bridges theoretical linguistics with practical applications in multilingual contexts, particularly extending from French linguistics to Chinese language processing. Analysis of Professor Valette's recent publications (2020-2025) reveals a clear evolution in his research interests, with increasing focus on cognitive warfare, language models, and mental health detection through social media analysis. His work demonstrates a consistent integration of statistical text analysis with linguistic theory, particularly in the areas of sentiment analysis, corpus semantics, and the epistemological foundations of NLP. Notably, his research has expanded from theoretical linguistics to address contemporary challenges in AI ethics, cross-cultural language processing, and the societal impacts of language technologies. Throughout his career, Professor Valette has maintained active collaborations with researchers across multiple disciplines, including computer science, public health, political science, and cognitive psychology. His administrative roles in major research projects and department leadership demonstrate his significant contributions to the academic community beyond his direct research output.

• Linguistics
• Automatic Language Processing
• Statistical Analysis of Textual Data
• +۶ مورد دیگر