جستجوی استاد راهنمای دانشگاهی

Kiwon Umمشاهده پروفایل

استادیار

• Physics-based Simulations
• Deep Learning
• Perceptual Evaluation of Simulations
• +۳ مورد دیگر

Kiwon Um is a tenured Assistant Professor in the Computer Graphics group at Télécom Paris, France, since October 2019. He focuses on physics-based simulations and data-driven approaches using deep learning, with an emphasis on human visual perception in computer graphics and engineering applications. Education: Ph.D. in Computer Science and Engineering from Korea University His research explores effective simulation of natural phenomena through refined data utilization and develops reliable data acquisition methods for machine learning. He also investigates perceptual evaluation of simulations to advance numerical method understanding. Recent work trends include: (1) turbulence modeling with machine learning integration, (2) elastic material simulation stability, (3) fluid dynamics optimization, and (4) differentiable physics frameworks. His publications range from 2008 to 2025, covering topics like SPH solvers, porous shell simulations, and numerical method validation.

• Fluid Mechanics
• Hydrodynamics
• Free Surface Flows
• +۴ مورد دیگر

Nicolas Riviere is a Professor at INSA Lyon in the Department of Mechanical Engineering, working within the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509). He is part of the "Fluides complexes et transferts" (Complex Fluids and Transfers) group and the Environment team. His teaching activities primarily focus on fluid mechanics at the Mechanical Engineering Department of INSA Lyon, covering: General balances (mass, momentum, energy) Aerodynamics Compressible flows Numerical simulation of flows Free surface hydraulics Prof. Riviere's research centers on free surface hydrodynamics, with applications to natural and industrial risks. His work takes an experimental approach, utilizing the laboratory's channel facilities, particularly the channel intersection installation. His research spans river floods with compound beds, urban flooding, sanitation networks, torrential flows, and flow-obstacle interactions. He has developed a strong interdisciplinary focus, co-leading the "Baignades en Rivières Urbaines" studio with Oldrich Navratil from University Lyon 2 and the EVS Laboratory. His publication record demonstrates consistent contributions to the fields of fluid mechanics and environmental hydraulics, with recent work focusing on open-channel flows, urban flooding phenomena, vegetation-flow interactions, and experimental techniques for studying complex hydraulic phenomena. His research often bridges theoretical fluid mechanics with practical environmental applications. Prof. Riviere has received recognition for his work in environmental fluid mechanics, with numerous publications in high-impact journals in hydraulic engineering and fluid mechanics. He has supervised multiple PhD students and research projects related to environmental fluid mechanics and has collaborated with various institutions on interdisciplinary research projects addressing water-related challenges. The laboratory where he works, LMFA, provides extensive experimental facilities including wind tunnels, hydrodynamic channels, and advanced measurement techniques such as PIV (Particle Image Velocimetry), LDV (Laser Doppler Velocimetry), and other state-of-the-art instrumentation for fluid flow analysis.

Stéphanie Ruphyمشاهده پروفایل

استاد

• Philosophy of Science
• Scientific Pluralism
• Scientific Integrity
• +۵ مورد دیگر

Stéphanie Ruphy is a Professor of Philosophy of Science at the École Normale Supérieure - PSL University in Paris, where she conducts research at the intersection of philosophy, science policy, and scientific integrity. She currently serves as Director of the French Office for Research Integrity (OFIS), demonstrating her leadership in promoting ethical research practices across France. Her educational background is uniquely interdisciplinary, holding a doctorate in astrophysics from Sorbonne University and a PhD in philosophy from Columbia University in New York. This dual expertise informs her distinctive approach to philosophical questions about science. Ruphy's research centers on scientific pluralism, scientific integrity, and the relationship between science and democracy. She has developed the concept of "foliated pluralism," which challenges traditional metaphysical interpretations of scientific diversity. Her work examines how citizen participation can enhance scientific objectivity and how research governance structures affect scientific progress. She explores the philosophical implications of computer simulations in scientific practice and investigates questions about natural kinds across different scientific domains. Her publications reveal a consistent focus on the philosophical foundations of scientific practice, with particular attention to the relationship between scientific methods and societal values. Ruphy has made significant contributions to understanding how scientific pluralism relates to metaphysical questions, how citizen science affects scientific objectivity, and how research integrity frameworks can be strengthened. Her work bridges theoretical philosophy with practical concerns about research governance. Among her notable honors: Member of Academia Europaea (2018) Member of European Academy of Sciences (EURASC) (2017) Appointed to French Council for Scientific Integrity (CoFIS) (2017) As an educator at the École Normale Supérieure, Ruphy mentors future researchers in understanding their responsibilities within knowledge societies. She has observed growing student interest in "involved" research connected to societal concerns. Her work on a research integrity oath for PhD students in France demonstrates her commitment to embedding ethical considerations in research training. She actively engages with policy questions about balancing scientific freedom with societal responsibilities. Ruphy leads significant initiatives in research integrity through her directorship of OFIS, where she organizes conferences and develops frameworks for maintaining trust in scientific practices. Her work connects academic philosophy with practical policy concerns, creating bridges between theoretical considerations and real-world research governance.

• Simulation-Based Optimization
• Supply Chain Management
• Operations Management
• +۴ مورد دیگر

Hamed Jalali is a Full Professor in Supply Chain Management at NEOMA Business School since September 2024, having joined the institution in September 2017. He holds a Master's degree in Statistics and a PhD in Business Economics from KU Leuven, Belgium. His research emphasizes simulation-based optimization, particularly Kriging-based algorithms, and explores intersections between marketing and operations management, as well as sustainable supply chain practices using game-theoretic models. His work has been published in journals like IIE Transactions , European Journal of Operational Research , and International Journal of Production Economics . Dr. Jalali has received numerous teaching awards at NEOMA Business School and collaborates with industries such as IMEC and EuroGijbels on projects like inventory management and rationing strategies. His research spans inventory dynamics, product portfolio management, blockchain applications in supply chains, and coopetition models in closed-loop systems. Education: PhD in Business Economics, KU Leuven, Belgium Master's degree in Statistics, KU Leuven, Belgium His recent articles highlight contributions to sustainable supply chain traceability, bullwhip effect mitigation through product portfolio adjustments, and multiobjective optimization algorithms. He actively reviews for top-tier journals and presents at international conferences. Key Awards: Multiple teaching excellence awards at NEOMA Business School. Industrial Projects: Collaboration with IMEC and EuroGijbels on inventory management and supply chain sustainability initiatives. His research integrates technical simulation methods with real-world supply chain challenges, emphasizing both operational efficiency and environmental sustainability.

• Portfolio Management
• Fixed Income
• Sustainable Investing
• +۴ مورد دیگر

Marielle De Jong is an Associate Professor at Grenoble Ecole de Management, serving as the Academic Director of the USA DBA program. Her expertise spans portfolio management, fixed income, and sustainable investing, with a focus on bond portfolio construction and liquidity scoring. MSc in Econometrics from Erasmus University of Rotterdam MSc in Operational Research from Cambridge University PhD in Finance from the University of Aix-Marseille Defended HDR in 2022 Her research integrates quantitative finance with sustainability, addressing topics like ESG investing, derivatives in asset management, and risk modeling. She has extensive industry experience in investment management, notably with HSBC Sinopia and Amundi, where she led fixed-income quant research teams. Marielle's publications highlight trends in bond risk assessment, CDS applications, and green finance. She is Editor-in-Chief of the Journal of Asset Management, emphasizing rigorous quantitative methodologies and sustainable investment frameworks.

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.

Jonathan Andrew Crowcroftمشاهده پروفایل

استاد

• Computer Networks
• Distributed Systems
• Opportunistic Communications
• +۷ مورد دیگر

Jon Crowcroft is the Marconi Professor of Communications Systems in the Department of Computer Science and Technology at the University of Cambridge, and serves as the Chair of the Programme Committee at the Alan Turing Institute. He is also a Fellow of Wolfson College, Cambridge, and a visiting professor at the Department of Computing at Imperial College London. With a career spanning over three decades in computer networking research, Professor Crowcroft has made seminal contributions to the development of the Internet and continues to be highly active in cutting-edge research areas. His educational background includes: BA in Physics from Trinity College, University of Cambridge (1979) MSc in Computing from University College London (1981) PhD from University College London (1993) Professor Crowcroft's research spans multiple domains in computer networking and distributed systems. He has worked in Internet support for multimedia communications for over 30 years, with three main focus areas: scalable multicast routing, practical approaches to traffic management, and the design of deployable end-to-end protocols. His current research focuses on opportunistic communications, social networks, and techniques to scale infrastructure-free mobile systems. He is particularly known for his 'build and learn' paradigm for research and has recently been exploring decentralized digital identification systems, smart cities, and edge computing. His work often bridges theoretical foundations with practical implementations, emphasizing privacy-preserving approaches and sustainable network architectures. Professor Crowcroft has received numerous prestigious awards recognizing his contributions to the field, including: Election as Fellow of the Royal Society (2013) ACM SIGCOMM Award (2009) ACM Fellow (2002) Fellow of the Royal Academy of Engineering IEEE Fellow (2004) Chartered Fellow of the British Computer Society Throughout his career, Professor Crowcroft has advised numerous PhD students, including Mark Handley and Pan Hui, who have themselves become influential researchers in the networking community. He has authored several influential books that have been adopted internationally in academic courses, such as 'TCP/IP & Linux Protocol Implementation,' 'Internetworking Multimedia,' and 'Open Distributed Systems.' His research has been supported by various grants and collaborations with both academic institutions and industry partners, contributing to successful startup projects and influencing Internet standards. Professor Crowcroft is actively involved in several research initiatives, including serving on the Scientific Council of IMDEA Networks Institute since 2007 and the advisory board of the Max Planck Institute for Software Systems. He is also a director of the Matrix Foundation, which develops open network protocols. His current research group focuses on privacy-preserving analytics, decentralized systems, and the future of Internet architecture.

Bruno Alonsoمشاهده پروفایل

استاد

• Materials Chemistry
• Nanostructured Materials
• Hybrid Materials
• +۳ مورد دیگر

Bruno Alonso is a CNRS Research Director at the Institute of Chemistry of Montpellier (ICGM), a joint research unit of CNRS, University of Montpellier, and the National School of Chemistry of Montpellier (ENSCM). His work focuses on advanced materials chemistry with emphasis on nanostructured hybrid systems and NMR characterization of organic-inorganic interfaces. Education Engineer, National School of Chemistry of Paris (1993) Doctorate in Materials Science, University of Paris VI (1998) CNRS Research Fellow (2001) Accreditation to Supervise Research, University of Orléans (2006) Bachelor of Fine Arts, University of Paris 1-CNED (2017) Research Interests Dr. Alonso's research centers on hybrid organic-inorganic materials with expertise in sol-gel chemistry , nanoscale self-assembly , and advanced NMR spectroscopy . His group develops: Biomimetic nanocomposites using polysaccharides (chitin/cellulose) and oxides Zeolite systems with controlled heteroelement distribution and acidity Multinuclear NMR methods for probing molecular interactions at interfaces Applications span sustainable materials, energy storage, and catalytic systems with strong emphasis on green synthesis approaches. Publication Trends Analysis of recent publications (2021-2025) reveals dominant themes in zeolite chemistry (40% of output) and biomimetic nanomaterials (30%), with growing integration of computational methods (15%). His work increasingly employs machine learning for NMR prediction and solvent-free synthesis techniques , reflecting industry shifts toward sustainable materials. Collaborative publications span 12 countries with consistent focus on energy applications (hydrogen storage, thermal management) and advanced characterization. Research Infrastructure Based at Montpellier's Balard Research Chemistry Center, Dr. Alonso utilizes ICGM's state-of-the-art facilities including high-field NMR spectrometers and materials synthesis laboratories. His group maintains active collaborations with European institutions for X-ray diffraction, computational modeling, and gas-sensing applications.

Guillaume Chiavassaمشاهده پروفایل

استاد

• Wave Propagation
• Numerical Analysis
• Computational Fluid Dynamics
• +۶ مورد دیگر

Guillaume Chiavassa is a Professor in Applied Mathematics at Ecole Centrale de Marseille, affiliated with the Laboratoire M2P2 (Mechanics, Modeling and Physical Processes Laboratory). He leads research in the Thermodynamics, Waves, Digital, Interfaces and Combustion team, focusing on advanced computational methods for complex physical phenomena. His research spans wave propagation in porous media, numerical modeling of plasma flows in Tokamak configurations, multilevel schemes for conservation laws, penalization methods for compressible flows, and wavelets in numerical analysis. Chiavassa's work demonstrates exceptional mathematical rigor applied to challenging physical systems, particularly in nonlinear wave dynamics and computational fluid mechanics. His methodologies bridge theoretical mathematics with practical engineering applications. Analysis of his recent publications reveals a strong focus on wave propagation phenomena across diverse media, with significant contributions to numerical methods for nonlinear systems. His work consistently addresses the mathematical challenges of modeling complex physical behaviors including material softening, fractional attenuation in porous media, and plasma dynamics in fusion devices. The interdisciplinary nature of his research connects applied mathematics with mechanical engineering, geophysics, and nuclear fusion technology. Chiavassa leads the PROSPERO Software project and participates in the ANR Espoir research initiative and the Consortium SEISCOPE. His teaching activities include courses on hyperbolic equations, finite elements, and heat transfer, with practical computational components developed for student instruction. He maintains an active research program through Laboratory M2P2, where his team develops advanced numerical methods for simulating complex physical phenomena with applications ranging from environmental engineering to nuclear fusion research.

Olivier FARGESمشاهده پروفایل

مدرس ارشد

• Thermal Engineering
• Energy Systems
• Fluid Dynamics
• +۳ مورد دیگر

Olivier FARGES is a Senior Lecturer and HDR (Habilitation à Diriger des Recherches) holder at the University of Lorraine, affiliated with ENSGSI (École Nationale Supérieure de Géologie et Sciences Industrielles) within the Groupe INP. He serves as Director of Industrial Partnerships at ENSGSI and is part of the LEMTA Laboratory (CNRS-University of Lorraine), focusing on multiphysics and multiscale modeling of heat transfer in complex environments. His academic roles include teaching courses such as Heat and Mass Transfer, Fluid Mechanics, Scientific Computing Modeling, and Renewable Energy. Dr. FARGES holds a Ph.D. in Energy and New R&D (2014) and an Engineering degree in Energy Engineering (2010), both from the École de Mines Albi. His research emphasizes coupled conductive-radiative heat transfer in porous media, thermal property characterization of heterogeneous materials, and Monte Carlo-based computational methods for energy systems. He has contributed to advancements in photovoltaic system modeling, solar thermal power optimization, and urban climate studies. His work bridges theoretical and applied thermal engineering, with applications in sustainable energy systems, material science, and industrial partnerships. Key research themes include radiative transfer modeling, multiphysics simulation frameworks, and the development of innovative tools for thermal property measurement and energy performance assessment.

• Conformal Field Theory
• Quantum Field Theory
• Renormalization Group
• +۴ مورد دیگر

Slava Rychkov is a Permanent Professor of Theoretical Physics at the Institut des Hautes Études Scientifiques (IHES), a position he has held since 2017. He specializes in strongly coupled quantum and conformal field theories, with applications across high energy physics, statistical mechanics, and condensed matter physics. His current research focuses on the conformal bootstrap and renormalization group techniques, including both perturbative and nonperturbative methods like tensor network renormalization. Education: Ph.D. in Physics, Princeton University (2002) Master of Science, Moscow Institute of Physics and Technology (1996) Recent research highlights include a groundbreaking connection between Deligne categories and symmetries of probabilistic loop ensembles in statistical physics, and a novel method for analytic continuation of Euclidean CFTs to Lorentzian signature. His work on the 2+ϵ expansion challenges established assumptions about critical exponents in 3D systems. Publications span topics from tensor renormalization group methods to rigorous mathematical approaches in the conformal bootstrap program. Scientific Awards: Jacques Solvay International Chair in Physics (2025) Grand Prix Mergier-Bourdeix, French Academy of Sciences (2019) New Horizons in Physics Prize (2014) As Deputy Director of the Simons Collaboration on the Nonperturbative Bootstrap, Rychkov leads efforts to rigorously analyze conformal field theories. His former advisees include prominent researchers at institutions like EPFL, Princeton, and Università di Genova. Current projects focus on resolving fundamental questions about critical phenomena and phase transitions using advanced mathematical physics tools.

Xujia ZHUمشاهده پروفایل

دانشیار

• Uncertainty Quantification
• Surrogate Modeling
• Stochastic Simulators
• +۴ مورد دیگر

Xujia ZHU is an Associate Professor at CentraleSupélec, Paris-Saclay University, affiliated with the Laboratory of Signals and Systems (L2S). His research focuses on uncertainty quantification, surrogate modeling, stochastic simulators, and reliability analysis. He holds an engineer’s degree in Mechanics from École Polytechnique (2015), a Master’s in Computational Mechanics from TU Munich (2017), and a Ph.D. from ETH Zurich (2022). He was a postdoctoral researcher at ETH Zurich until 2023. Education: Ph.D., Chair of Risk, Safety, and Uncertainty Quantification, ETH Zurich, 2022 Master’s (high distinction), Computational Mechanics, Technical University of Munich, 2017 Engineer’s Degree, Mechanics, École Polytechnique, 2015 Research Interests: Xujia’s work bridges numerical simulations and statistics, addressing topics like uncertainty propagation, sensitivity analysis, and surrogate modeling for stochastic systems. Key areas include polynomial chaos expansions, Bayesian active learning, and applications in seismic fragility analysis. Publications: His recent work emphasizes emulation techniques for stochastic simulators, multi-fidelity methodologies, and Bayesian active learning strategies in reliability analysis. Key themes include sparse polynomial chaos expansions and latent variable modeling. Labs/Teams: Affiliated with L2S, he collaborates on transversal projects in energy, industry, and health, leveraging interdisciplinary approaches in uncertainty quantification and computational modeling.

Mohamed Amaraمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Methods
• Computational Fluid Dynamics
• +۵ مورد دیگر

Mohamed Amara is a Professor and President of the Université de Pau et des Pays de l'Adour (UPPA). He is a member of the Inria MAGIQUE-3D team, specializing in numerical analysis and mathematical modeling. His research focuses on finite element methods, computational fluid dynamics, and photovoltaic technologies. He has contributed to advancements in solar energy systems, thermal management of photovoltaic cells, and materials science. Amara has supervised PhD students Elvira Shishenina and Izar Azpiroz, who successfully defended their theses. His work bridges applied mathematics with engineering applications, including studies on estuarian river flows and phase change materials. Roles: Professor, President of UPPA, Inria MAGIQUE-3D researcher Key Research Themes: Numerical Analysis, Solar Energy, Fluid Dynamics Amara's recent publications emphasize structural color metasurfaces, radiative cooling of solar modules, and perovskite solar cell optimization. He collaborates internationally on photovoltaic systems and thermal modeling, addressing challenges in energy efficiency and material performance.

Philippe Moireauمشاهده پروفایل

استاد

• Inverse Problems
• Data Assimilation
• Partial Differential Equations
• +۴ مورد دیگر

Philippe Moireau is a Full Professor in the Department of Applied Mathematics at École Polytechnique, where he is also affiliated with the Center for Applied Mathematics (CMAP). He serves as the head of the Inria Project-Team MΞDISIM (Mathematical and Mechanical Modeling with Data Interaction for Simulation in Medicine) and holds the distinguished position of Ingénieur Général of The Corps des Mines. His primary research focuses on inverse problems and data assimilation for partial differential equation models, with particular emphasis on: Observer-based methods from optimal control perspectives Stabilization approaches for evolution equations Numerical analysis of time-dependent control problems Digital twin applications in cardiovascular medicine Professor Moireau's publication portfolio demonstrates consistent focus on mathematical methods for physical systems, with recurring themes in: Data assimilation techniques for PDE-based models Numerical stabilization and discretization methods Cardiovascular biomechanics and hemodynamics Stochastic modeling of biological systems Epidemiological forecasting and control He leads the ANANKΞ project-team at Inria focused on Analysis And Numerics of physical-Knowledge-based Estimation. His educational contributions include lectures on data assimilation theory at CEMRACS and courses on mathematical modeling in cardiac biomechanics at Institut Polytechnique de Paris.

• Fluid Dynamics
• Turbulence
• Magnetohydrodynamics
• +۳ مورد دیگر

Wouter Bos is a Research Director at CNRS working at the Laboratory of Fluid Mechanics and Acoustics (LMFA) at École Centrale de Lyon, France. He leads research within the Turbulence & Instabilities team, focusing on fundamental aspects of fluid dynamics with applications spanning from plasma physics to epidemiology. His academic journey reflects a deep engagement with theoretical and computational fluid mechanics, particularly in turbulence phenomena. Dr. Bos's research interests center on fluid dynamics, with particular emphasis on turbulence in various contexts including two-dimensional flows, magnetohydrodynamics, plasma physics, and statistical mechanics of fluids. His work explores fundamental questions about energy transfer, coherent structures, and statistical properties of turbulent flows. He has made significant contributions to understanding turbulence without vortex stretching, two-dimensional turbulence, and the application of fluid dynamics principles to epidemiological modeling. Analysis of his recent publications reveals a strong focus on theoretical and computational approaches to turbulence. His work spans from fundamental questions about equilibrium states in two-dimensional turbulence to practical applications in plasma confinement and epidemic modeling. The publications demonstrate consistent innovation in turbulence theory, with particular attention to statistical mechanics approaches, spectral analysis, and the development of reduced-order models for complex fluid phenomena. His research shows growing interdisciplinary connections, especially between fluid dynamics and epidemiology as evidenced by his work on modeling the spread of infectious diseases. Dr. Bos actively supervises doctoral students and postdoctoral researchers, with recent students including Tong Wu, Ryo Araki, Smiron Varghese, Wesley Agoua, and Bruce (Xi Yuan) Yin. He participates in collaborative research projects such as the ANR CM2E project (2021-2025) on Characteristic Mapping Method for the Euler Equations, working with researchers from Aix-Marseille University and McGill University. His laboratory work involves both theoretical analysis and computational simulations, with applications ranging from fundamental fluid mechanics to practical problems in energy research (particularly related to ITER and fusion plasma physics) and public health. The interdisciplinary nature of his research demonstrates the broad applicability of fluid dynamics principles across seemingly disparate scientific domains.