جست‌وجوی استاد و پژوهشگر

Romain Vallonمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• High-Performance Computing
• Turbulence Research
• +۳ مورد دیگر

Romain Vallon is a researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509) at École centrale de Lyon, France, specializing in computational methods for fluid dynamics research. His research focuses on: Computational Fluid Dynamics High-Performance Computing Turbulence Research Numerical Simulation GPU Programming Fluid Mechanics Vallon's work centers on optimizing computational methods for processing large datasets generated by Direct Numerical Simulations (DNS). His research involves developing strategies to accelerate Python CPU code using GPU technology for calculating structure functions, significantly reducing processing time from hours or days to more manageable durations. This work is particularly relevant for researchers dealing with large-scale fluid dynamics simulations who need efficient data processing methods. As a member of the Turbulence & Instabilities research team, Vallon contributes to advancing computational techniques in fluid mechanics. His upcoming seminar scheduled for July 18, 2025 at École centrale de Lyon demonstrates his active engagement in sharing research findings with the academic community.

• Fluid Dynamics
• Turbulence
• Quantum Turbulence
• +۷ مورد دیگر

Juan Ignacio Polanco is a Research Officer at the Laboratory of Geophysical and Industrial Flows (LEGI), a joint research unit of the University of Grenoble Alpes, CNRS, and Grenoble INP. He is a member of the MOST team (Modeling and Simulation of Turbulence), where he conducts research in computational and theoretical fluid dynamics, with a focus on turbulence and quantum fluids. His research interests include fluid dynamics, turbulence (particularly quantum and geophysical turbulence), numerical simulation, computational fluid dynamics, superfluid helium, Biot–Savart integrals, and mutual friction in He-II. His work bridges applied mathematics and physics, with strong computational components. Recent publications highlight his expertise in fast numerical methods for vortex dynamics and the analysis of quantum turbulence. His work often involves collaborations with leading researchers in the field and is published in high-impact journals such as SIAM Journal on Scientific Computing and Proceedings of the National Academy of Sciences . The publications indicate a strong trend in understanding fundamental aspects of turbulence in both classical and quantum fluids using advanced simulation techniques. He has no listed scientific awards in the provided text. Juan Ignacio Polanco has not advised any publicly listed students based on the available information. There is no mention of research grants or funding sources in the text provided. He is affiliated with the MOST team at LEGI, which specializes in turbulence modeling and simulation. The laboratory is equipped with advanced computational and experimental facilities, including high-performance computing servers and rotating platforms like Coriolis, which support research in geophysical and industrial flows.

Rob H. Bisselingمشاهده پروفایل

استاد

• Parallel Algorithms
• Sparse Matrix/Tensor Computations
• Graph and Hypergraph Algorithms
• +۵ مورد دیگر

Rob H. Bisseling is a Full Professor in Scientific Computing at Utrecht University's Mathematical Institute and a visiting professor at ENS de Lyon's LIP laboratory (March–May 2024). He holds a BSc/MSc in Mathematics (cum laude) from the Catholic University of Nijmegen and a PhD in Theoretical Chemistry from the Hebrew University of Jerusalem. His research focuses on parallel algorithms, sparse matrix/tensor computations, and hypergraph partitioning, with applications in high-performance computing and numerical methods. He has authored a seminal textbook on parallel scientific computing and contributes to pedagogical resources like video lectures. During his visit to LIP, Bisseling collaborates with the ROMA team under Bora Uçar to advance parallel algorithms for large-scale irregular applications. His work includes developing tools like PMondriaan for sparse matrix partitioning and promoting knowledge transfer through lectures on BSP programming. He engages with researchers, PhD students, and engineers at LIP, extending collaborations to Lyon's Institut Camille Jordan and LabPhys for tomographic reconstruction and statistical physics modeling. His academic career includes roles at Royal Dutch Shell and as Utrecht University's Director of Education (2012–2015). He advocates interdisciplinary approaches, bridging computational methods with applied sciences and engineering challenges.

Nonna Algourdinمشاهده پروفایل

مدرس

• Sustainable Construction
• Recycled Concrete
• Fire Behavior of Building Materials
• +۳ مورد دیگر

Nonna Algourdin is a Lecturer in Civil Engineering and Materials at the National School of Engineers of Saint-Étienne (ENISE) since 2018, affiliated with the Laboratory of Tribology and Systems Dynamics (LTDS) at Centrale Lyon. Her work bridges academic research and practical sustainable construction applications through cross-institutional collaborations. Her doctoral training in Civil Engineering was completed at CY Cergy Paris University, establishing her expertise in material science for infrastructure. Research interests focus on ecological material behavior under extreme conditions, with specific emphasis on recycled concrete systems, fire resilience, and carbon-negative construction technologies. Her methodology integrates experimental mechanics with computational modeling and machine learning for structural analysis. Recent publications reveal a cohesive research trajectory centered on circular economy principles in construction, with dominant themes in recycled aggregate performance, accelerated carbonation processes, and AI-enhanced damage detection in composite materials. This work directly addresses industry challenges in sustainable infrastructure resilience. Scientific awards: None documented in source materials. Dr. Algourdin actively supervises research talent and secures competitive funding through regional and national programs: Primary supervisor for Junaid Khan's TRM composites research (AC2M2 project) Lead researcher for Auvergne Rhône-Alpes Region-funded initiatives: RECYFEU (fire behavior of recycled concrete) and carbon-negative materials valorization Project carrier for CNRS-funded CO2NCRETE initiative targeting CO2 emission recovery via recycled concrete She operates within the LTDS research ecosystem at Centrale Lyon while maintaining ENISE's Saint-Étienne Campus presence, with active collaboration networks including the University of Sherbrooke for transnational sustainable construction research.

• Natural Convection
• Numerical Simulation
• Desiccation Systems
• +۳ مورد دیگر

Patrice Joubert is a Teacher-Researcher at the University of La Rochelle , serving as Director of the IUT of La Rochelle . His research focuses on natural convection , numerical simulation of turbulent flows, and desiccation systems for cooling applications. He has contributed extensively to studies on convection-radiation coupling in confined cavities and ventilation system optimization. Academic Affiliation: University of La Rochelle Key Research Areas: Natural Convection, Desiccation Systems, Turbulent Flow Simulation Email: pjoubert@univ-lr.fr His work demonstrates expertise in Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS) techniques, with applications ranging from building energy efficiency to solar-powered cooling systems. Recent publications analyze gas radiation effects in turbulent plumes and ventilation system performance metrics. Patrice collaborates with CNRS' INSIS Scientific Department and participates in international conferences like IBPC and CLIMA. His research bridges theoretical modeling with practical applications in sustainable building technologies.

Matthieu EXBRAYATمشاهده پروفایل

مدرس

• Machine Learning
• Data Analysis
• Data Visualization
• +۷ مورد دیگر

Matthieu EXBRAYAT is a Lecturer in Computer Science at the University of Orleans, affiliated with the Fundamental Computer Science Laboratory of Orléans (LIFO). He holds significant administrative responsibilities including Vice President for Digital and Educational Innovation at the University of Orleans and previously served as Co-head of the IT department (2019-2021) and Head of the IMIS Computer Science Masters (2015-2021). His research spans multiple domains with a primary focus on Machine Learning applications in data analysis and visualization, time series analysis, and computer vision applications in archaeology. His work demonstrates strong interdisciplinary connections between computer science and archaeological documentation, particularly in ceramic sherd classification using deep learning techniques. Earlier in his career, he contributed significantly to high-performance databases and probabilistic relational learning, especially Markov logic networks. Analysis of his publication history reveals an evolving research trajectory: beginning with database systems and parallel join algorithms in the early 2000s, progressing through Markov logic networks and clustering algorithms in the 2010s, and more recently focusing on machine learning applications in archaeological imaging and programming language analysis. His recent publications show a clear shift toward practical applications of machine learning in diverse domains while maintaining theoretical rigor. Throughout his career, EXBRAYAT has maintained extensive collaborative research networks, with Lionel Martin appearing as a co-author on 20 publications, followed by Guillaume Cleuziou (14), Jacques-Henri Sublemontier (9), and Quang-Thang Dinh (7). These collaborations span multiple research domains and demonstrate his ability to work across disciplinary boundaries. As an educator, he teaches distributed information systems, programming languages, databases, AI/data mining, and geographic information systems. He has also been actively involved in scientific mediation, delivering numerous public lectures on artificial intelligence topics since 2017, including conferences such as "Living in harmony with AIs" (2023) and "Artificial Intelligence: My new toaster is an AI!" (2019). His administrative contributions are substantial, including roles as Communications Correspondent for the Computer Science Disciplinary Center, Facilitator of the DataCenters ComUE Centre Val de Loire reflection group, and Vice President of Digital Resources at the Leonardo da Vinci Confederal University. He also served as LIFO website webmaster for over a decade (2002-2014) and was responsible for the STIC degree program (now IT degree) from 2004-2008.

• Synchronous Reactive Programming
• Concurrency
• Parallelism
• +۷ مورد دیگر

Frédéric DABROWSKI is a Lecturer with HDR at the University of Orleans, Faculty of Sciences, affiliated with the LIFO laboratory. He serves as head of the Master in Computer Sciences program since 2021 and participates in university governance through the Academic and Research Councils. His research bridges theoretical computer science and practical system verification, with emphasis on reactive and parallel programming models. His core research spans Synchronous Reactive Programming, Concurrency/Parallelism, Program Semantics, Deductive Verification, Static Analysis, Temporal Logic, and Formal Methods mechanized primarily in Coq. He investigates effect systems in functional reactive languages, textual alignment in SPMD programs, and verification techniques for synchronous systems, contributing foundational semantics and analysis tools. Analysis of his 20+ publications reveals consistent focus on applying formal methods to concurrent systems, evolving from BSP/SPMD semantics (2006-2019) toward functional reactive programming with effects and IoT security (2020-2025). Recent work emphasizes Coq-mechanized verification, effect handling, and safe reactive language design for critical embedded systems. DABROWSKI has supervised eight advisees including PhD candidates Terence Clastres (deductive verification), Darine Rammal (IoT reactive programming), and Jordan Ischard (FRP semantics), plus Master's students like Loic Kerbaul. He participates in funded projects: SIOMediC (IoT medical security, 2023-2024), DeSSUF (safe IoT languages, 2022-2023), BSP Program Analysis (Huawei, 2016-2019), and PaPDAS (parallel skeletons, 2011-2014). Based at LIFO, he co-leads the GT CLAP research group and serves on HLPP symposia steering committee, fostering collaborations with INSA Center Val de Loire, University of Maribor, and Japanese institutions to advance high-level parallel programming and verification.

Bruno Gaujalمشاهده پروفایل

استاد پژوهشی

• Performance Evaluation
• Optimization
• Discrete Event Dynamic Systems
• +۵ مورد دیگر

Bruno Gaujal is a Research Professor at Inria Grenoble-Rhône-Alpes, affiliated with Université Grenoble Alpes. He obtained his PhD from the University of Nice in 1994 under François Baccelli's supervision and has held positions at AT&T Bell Labs, INRIA, and École Normale Supérieure de Lyon. He previously led the MESCAL (now POLARIS) research group focused on large-scale computing until 2015. His research interests center on performance evaluation, optimization, and control of discrete event dynamic systems with stochastic inputs. Specific areas include: Markov Chains and Markov Decision Processes Reinforcement Learning and stochastic optimization Queueing theory and scheduling algorithms Energy-efficient computing in distributed systems Game-theoretic approaches in network optimization Gaujal's recent publications show strong emphasis on reinforcement learning applications in queueing networks, energy optimization for real-time systems, and scalable algorithms for Markov Decision Processes. His work bridges theoretical frameworks like Whittle indices with practical implementations in cloud computing and distributed systems. He has supervised numerous PhD students including Nicolas Gast (now Inria researcher), Anne Bouillard (Huawei researcher), and Emmanuel Hyon (Paris Nanterre professor). Current students include Hélène Arvis and Romain Cravic. Gaujal co-founded RTaW, a startup specializing in real-time network design tools. At Inria, he leads research in the POLARIS group, focusing on optimization methods for large-scale distributed computing infrastructures. His work involves collaborations with 85+ co-authors across institutions globally.

Rémi Abgrallمشاهده پروفایل

عضو هیئت علمی

• Computational Fluid Dynamics
• Numerical Analysis
• Mathematical Modeling
• +۴ مورد دیگر

Rémi Abgrall is a Senior Researcher at Inria, specializing in computational mathematics and numerical modeling. He leads the Addecco project, which aims to simplify dynamic models for aerodynamic simulations in aeronautics, automotive, and aerospace industries. His work focuses on improving numerical calculation efficiency and has earned recognition through European Research Council grants. Project Affiliations: Bacchus Project Team (2008) GraphDeco Project Team (multiple years) Prosecco Project Team (multiple years) Sierra Project Team (multiple years) Sémagramme Project Team (2024) Scientific Contributions: ERC Advanced Grant recipient for mathematical modeling research Specializes in aerodynamic simulations and high-performance computing Focus on model simplification and computational efficiency

Stéphane Viazzoمشاهده پروفایل

مدرس

• Fluid Dynamics
• Computational Fluid Dynamics
• Turbulent Flow Simulations
• +۴ مورد دیگر

Stéphane Viazzo is a Lecturer with Habilitation to Supervise Research (HDR) at Aix-Marseille Université (AMU), affiliated with the M2P2 Institute (Institute of Mechanics, Civil Engineering and Environmental Sciences). He is a member of the Thermodynamics, Waves, Digital, Interfaces and Combustion research team within the Faculty of Science. His research focuses on fluid dynamics, particularly in rotating systems. Key areas include: Rotating flows: Taylor-Couette systems, Taylor-Couette Poiseuille flows, baroclinic and stratorotational instabilities Direct and large-eddy turbulent simulations, including jet impacting rotating disks Numerical simulations around deformable bodies, with applications to fish swimming Development and application of high-order numerical methods for fluid flow problems Dr. Viazzo's work demonstrates a strong emphasis on computational approaches to understand complex fluid phenomena, particularly those involving rotation, thermal effects, and turbulence. His research often bridges theoretical fluid dynamics with practical engineering applications. His publication record shows consistent contributions to fluid dynamics journals, with recent work focusing on thermal effects in rotating annular systems, stratorotational instabilities, and advanced numerical methods. The articles demonstrate progression from fundamental flow instability studies toward more complex applications involving thermal gradients and deformable boundaries.

MARIA Sébastienمشاهده پروفایل

مدرس

• Polymer Chemistry
• Materials Science
• Energy Storage
• +۳ مورد دیگر

MARIA Sébastien is a Lecturer at Aix-Marseille Université, affiliated with the Organic Radical Chemistry and Specialty Polymers Team (CROPS). His research focuses on controlled radical polymerization techniques to synthesize functional copolymers with applications in energy storage (e.g., lithium batteries) and electronics (e.g., conductive inks, 3D chip insulation). He leads the 'Materials and Processes' operational group at the Carnot Star Institute. Role: Lecturer Institution: Aix-Marseille Université Team: CROPS Email: sebastien.maria@univ-amu.fr Research Interests include polymer synthesis for energy and electronic applications, particularly solid electrolytes for lithium batteries and dispersion of conductive inks. His work emphasizes well-defined macromolecular architectures and their electrochemical properties. Scientific Contributions span solid polymer electrolytes, SnSb anode optimization, conformal polymer coatings for electrical contacts, and advanced block copolymer systems. Publications highlight innovations in battery materials, electrochemical impedance spectroscopy, and nanocomposite synthesis. Labs/Teams: Organic Radical Chemistry and Specialty Polymers Team (CROPS) and the Carnot Star Institute's 'Materials and Processes' group.

George Volonakisمشاهده پروفایل

استادیار

• Computational Materials Science
• Energy Materials
• Quantum Mechanics Simulations
• +۳ مورد دیگر

George Volonakis serves as a Junior Professor at the University of Rennes, France, affiliated with the Institute of Chemical Sciences of Rennes (ISCR) and the Inorganic Theoretical Chemistry team (CTI). His research focuses on computational materials science for energy applications, employing first-principles quantum mechanical calculations to investigate perovskite-based materials for next-generation solar cells and opto-electronic devices. His primary research interests encompass computational prediction of structural, electronic, and optical properties in energy materials, with specialized expertise in halide perovskites and their surface/interface phenomena. He develops advanced simulation methodologies including parameter-free hybrid functionals and efficient semiempirical approaches to model complex materials systems, aiming to accelerate discovery of stable, high-efficiency photovoltaic materials through computational design. Analysis of his 2021-2025 publications reveals sustained focus on perovskite materials science, with growing emphasis on lead-free alternatives (double perovskites), dimensionality effects (2D/3D structures), and polaronic phenomena. Key trends include integration of computational predictions with experimental validation, methodological innovations for band gap prediction, and targeted exploration of surface stability issues critical for device performance. Professor Volonakis currently leads the ANR-funded SURFIN project investigating surfaces/interfaces in new materials, demonstrating active grant support. Holding an HDR qualification, he supervises PhD students and maintains an open recruitment policy for motivated candidates. His research group operates within the CTI team at ISCR, providing computational expertise in materials discovery with strong collaborative links to experimental groups.

Luc Rollandمشاهده پروفایل

مدرس

• Robotics
• Advanced Robotics
• Parallel Robot Design
• +۷ مورد دیگر

Luc Rolland is a Lecturer at the University of the West of Scotland, affiliated with the School of Computing, Engineering and Physical Sciences. He has maintained an active research profile since 1996 with recent collaborations at Centrale Nantes, Memorial University, and other international institutions. His research focuses on high-performance robotics systems design across multiple application domains. Rolland's work spans material handling systems, high-speed milling machinery, solar tracking mechanisms, palettizing solutions, reconfigurable robots, and stair-climbing platforms. His expertise extends to robot modeling, simulation, and control systems with particular emphasis on path planning and path pursuit certification. Recent publications (2021-2023) demonstrate a strategic expansion into healthcare robotics, decontamination systems, and autonomous vehicle validation. His work shows strong interdisciplinary connections between mechanical engineering, environmental science, and public health applications, particularly in ozone-based decontamination systems and UAV technology. Advanced robotics system design and implementation Parallel manipulator development for specialized applications UAV path planning and sense-and-avoid systems Hydrogen fuel cell systems for maritime applications Validation methodologies for autonomous vehicle features Rolland actively supervises three PhD students on projects related to UAV path planning, sense-and-avoid systems, and hydrogen-powered ship design. His research collaborations span Memorial University of Newfoundland, Centrale Nantes, and other international institutions. He has served as a visiting researcher at Ostfalia University of Applied Sciences and Changchun Institute of Technology, while also hosting academic visitors and providing peer review services for academic journals.

Veronique Bonnetمشاهده پروفایل

استاد

• Glycochemistry
• Nanotechnology
• Drug Delivery Systems
• +۴ مورد دیگر

Professor Veronique Bonnet is a leading researcher at the Glycochemistry and Agroresources Laboratory of Amiens (UR 7378) at Université de Picardie Jules Verne. Her work bridges carbohydrate chemistry, nanotechnology, and pharmaceutical sciences, focusing on developing innovative cyclodextrin-based systems for drug delivery and materials science applications. Professor Bonnet's research primarily centers on sugar-protein recognition and vectorization , with special emphasis on overcoming biological barriers like the blood-brain barrier. Her laboratory develops amphiphilic cyclodextrin derivatives that self-assemble into nanocarriers capable of transporting therapeutic agents across these barriers. She has made significant contributions to understanding cyclodextrin-metal interactions, carbohydrate conformation analysis using ion mobility mass spectrometry, and developing selective enzyme inhibitors for diabetes treatment. Her recent publications (2021-2023) demonstrate a diverse research portfolio spanning pharmaceutical applications, analytical methodology development, and sustainable materials science. Notably, her work on enzymatically modified pectins from fruit waste has shown exceptional promise as polymer binders for next-generation lithium-ion batteries, demonstrating the interdisciplinary nature of her research. Professor Bonnet has been authorized to supervise research since 2013 and maintains an active research program with numerous publications in high-impact journals across chemistry, materials science, and pharmaceutical fields. Her laboratory serves as a hub for interdisciplinary research connecting carbohydrate chemistry with practical applications in medicine and technology.

• Combinatorial Optimization
• Parallel Optimization
• Sequential Optimization
• +۵ مورد دیگر

Toufik SAADI is a Senior Lecturer in Computer Science at the University of Picardie Jules Verne, Faculty of Sciences. He has been a member of the EPROAD EA 4669 research unit since January 2012 and leads the ROD research team, which focuses on Operational Research, Parallel computing, Decision support theory, Polynomial approximation and complexity, and Quantum computing. His research centers on: Sequential and parallel optimization of combinatorial problems High-performance computing tools development Collaborative solutions for information flow optimization in complex systems Mobile context applications Dr. SAADI's methodological framework involves comprehensive problem modeling from industrial contexts, precision analysis, implementation of sequential or parallel optimization approaches, technical environment evaluation, and performance analysis of optimization methods. His theoretical work utilizes mathematical models including graph theory, probability, logic, and data analysis, combined with both exact and approximate resolution methods such as heuristics and meta-heuristics. He remains actively engaged in the academic community, recently presenting a seminar on 'Parallel Computing' in December 2023, demonstrating his continued contribution to advancing computational optimization techniques.