جستجوی استاد راهنمای دانشگاهی

Prof. François Avellan is a prominent academic at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences and the Department of Mechanical Engineering. His research focuses on hydraulic machinery, particularly Francis turbines, Pelton turbines, and cavitation phenomena. Key areas include CFD simulations, turbine design optimization, and hydropower system analysis. He leads projects like DuoTurbo (counter-rotating hydroturbines for energy recovery) and investigates fluid-structure interactions in off-design turbine operations. His work bridges experimental fluid mechanics with computational modeling, addressing challenges in renewable energy and grid stability. Education details are not explicitly provided in the text, but his extensive scholarly output indicates a strong academic background in mechanical engineering and fluid dynamics. Collaborations with institutions like the Laboratory of Hydraulic Machines (LMH) and the Swiss Federal Institute of Technology underscore his interdisciplinary involvement. Research interests emphasize cavitation dynamics, turbine instability mechanisms, and hydroacoustic resonance prevention. Recent studies explore part-load resonance risks, vortex rope behavior, and the integration of emerging hydropower technologies. His contributions span both fundamental and applied research, impacting turbine efficiency, energy recovery systems, and sustainable energy solutions. Publications highlight advancements in CFD validation, particle-based methods for erosion prediction, and predictive control of unstable flows. Innovations like the Y-junction hydraulic short-circuit and variable-speed pump-turbine simulations demonstrate practical applications of his research. Ongoing work includes multiscale erosion modeling and strategic hydropower potential assessments for Switzerland. Laboratory affiliations include the Laboratory of Hydraulic Machines (LMH), where experimental facilities support his investigations into turbine dynamics and fluid mechanics. His research directly informs industrial practices in hydropower plant design and operational reliability.

• Fluid Mechanics
• Hydraulic Engineering
• Turbomachinery
• +۳ مورد دیگر

Mark Sawley is a Senior Scientist at École Polytechnique Fédérale de Lausanne (EPFL) with dual appointments in the Institute of Mechanical Engineering (IGM) for administration and the School of Management (SGM) for teaching. With over 30 years of experience in academic, government laboratory, and private institutions across Switzerland and Australia, he holds a PhD in Physics and has founded/co-founded two high-tech startup companies. His administrative roles include coordinating ACCES for Computational Engineering promotion and serving as Coordinator for Academic Affairs at the STI Faculty. Dr. Sawley's research spans computational fluid dynamics, discrete element method simulations, and high-performance computing applications. His work bridges multiple disciplines with applications in materials science (concrete simulation), bioengineering (blood flow modeling), marine engineering (America's Cup yacht design), avalanche dynamics, and industrial particulate processing. His recent publications (2018-2021) demonstrate continued activity in applying numerical methods to solve complex engineering problems. His scientific contributions include 37 peer-reviewed journal papers, 58 conference proceedings, and 21 articles for general audiences. His work uniquely connects technical research with science communication through projects like TIMBRE!! and the DEM Gallery, emphasizing the relationship between science and art. 37 scientific papers in international peer-reviewed journals 58 papers in international conference proceedings 21 science communication articles for general audiences Professor Sawley has advised PhD students including Serge Wüthrich (1992) and Olivier Byrde (1997). His Computational Granular Dynamics lab (http://cgd.epfl.ch) provides a platform for interdisciplinary research connecting physics, engineering, and computational science. His administrative leadership in academic affairs and computational engineering promotion demonstrates his commitment to advancing both research and education at EPFL.

• Computational Fluid Dynamics
• Discrete Element Method
• High Performance Computing
• +۵ مورد دیگر

Dr. Lukas Keller is a Researcher at the Zurich University of Applied Sciences (ZHAW), School of Engineering, within the Department of ICP Multiphysics Modeling and Imaging. He leads multiple projects focused on clay rock characterization, including ongoing work on fracture sealing in clay rock and completed studies on gas transport mechanisms in clay materials. His research centers on the geophysical and mechanical properties of clay formations, particularly Opalinus Clay. Key interests include 3D microstructure analysis using X-ray computed tomography (XCT), hydromechanical behavior of fractures, permeability modeling, and pore-scale simulations. His work bridges experimental data with computational approaches to understand fluid flow, elastic properties, and transport phenomena in geological materials. Keller's publications (2014-2023) demonstrate consistent focus on clay microstructure, digital rock physics, and multiscale modeling. Recent articles explore pore geometry effects on rock elasticity, anisotropy in shale mechanics, and advanced tomography techniques. His research provides critical insights for applications in nuclear waste containment and geotechnical engineering.

• Geophysics
• Clay Microstructure
• Rock Mechanics
• +۳ مورد دیگر

Professor Jenny leads the Jenny Research Group at ETH Zürich, specializing in turbulent reactive flows, rarefied gas kinetics, and biomedical fluid dynamics. Her work bridges fundamental research with industrial applications in energy systems and fluid mechanics. Develops advanced turbulence models (TDDM, hybrid LES/RANS) for multi-scale flows Pioneers data assimilation frameworks for RANS simulations using adjoint methods Advances particle-based stochastic algorithms for fractured porous media transport Her recent publications emphasize adaptive time integration techniques, probabilistic modeling of non-linear transport phenomena, and optimized simulation tools for hydrogen storage systems. The group's methodological innovations focus on reducing computational costs while maintaining physical accuracy through novel regularization strategies. Key applications include combustion device optimization, high-pressure tank filling analysis, and fractured reservoir simulations. Current projects integrate machine learning with traditional CFD methods to address challenges in droplet clustering, flame surface density propagation, and supersonic spray dynamics. The research framework spans from direct numerical simulations of fundamental flow physics to industrial-scale hybrid modeling implementations.

• Turbulent Combustion Modeling
• Computational Fluid Dynamics
• Rarefied Gas Kinetics
• +۴ مورد دیگر