جست‌وجوی استاد و پژوهشگر

Giotis Andreasمشاهده پروفایل

دانشیار

• Petroleum Engineering
• Fluid Mechanics
• Environmental Engineering
• +۱ مورد دیگر

Giotis Andreas serves as Associate Professor in the Department of Mining Technology at the School of Mineral Resources Engineering, Technical University of Crete. Based in office M3.212 with contact email agiotis@tuc.gr, he maintains student reception hours Monday, Wednesday, and Friday from 14:00-15:00. Research Focus: His work centers on fluid mechanics in porous media with critical applications in petroleum engineering and environmental systems. Key areas include single/multiphase flows in macroporous media, hydrodynamics of pollutant dispersion in subsoil, soil decontamination technologies, geological CO 2 storage, and tertiary water recovery techniques through the Laboratory of Applied Fluid Mechanics and Drilling Techniques. Publication Trends: Recent articles (2015-2022) reveal consistent investigation of pore-scale flow phenomena across energy and environmental domains. His research integrates experimental and computational methods to address multiphase flow dynamics, carbon sequestration challenges, and nanofluid applications for power systems, demonstrating interdisciplinary impact in transport phenomena. Research Leadership: He directs significant projects including 3DMicroPores (Hellenic Foundation 2018-2022) on reactive transport in porous materials, MOZART (Horizon 2020 2015-2018) for drug delivery systems, and GLOW (FP7 2013-2017) on advanced powder coatings.

Ryan T. Armstrongمشاهده پروفایل

استاد

• Digital Rock Physics
• X-ray Computed Microtomography
• Multiphase Flow in Porous Media
• +۶ مورد دیگر

Professor Ryan T. Armstrong is a leading researcher at the University of New South Wales in the Faculty of Engineering , specifically the School of Civil and Environmental Engineering . His work focuses on interdisciplinary applications of applied mathematics, petroleum engineering, computer science, and physics to digital materials characterization and energy technologies. Integrates disciplines into digital rock physics frameworks Specializes in X-ray tomography and pore-scale flow modeling Research applications: hydrogen storage, CO 2 sequestration, mineral recovery His research portfolio includes 15 recent publications spanning machine learning for rock imaging, fluctuation-dissipation theorems, and multi-scale modeling of unconventional reservoirs. Key funding includes: 2022: ARC Future Fellowship (FT210100165) 2021: ARC Discovery Grant (DP210102689) 2020: ACARP Grant (C29036) 2019: ARC Linkage Grant (LP190100990) 2017: ARC Discovery Grant (DP170104417) 2016: ARC Discovery Grant (DP160104995) Honors include multiple Best Paper Awards at Society of Core Analysts symposia and UNSW Excellence Awards in both research and teaching. Professional memberships span the International Society of Porous Media , Society of Petroleum Engineers , and American Geophysical Union .

Fabian Dennerمشاهده پروفایل

دانشیار

• Numerical analysis
• Modeling and simulation
• Multiphase systems
• +۵ مورد دیگر

Fabian Denner is an Associate Professor at the Department of Mechanical Engineering, Polytechnique Montréal. His work focuses on modeling multiphase flows and related physical phenomena, including cavitation, acoustic wave dynamics, and high-performance computing (HPC). He develops advanced numerical methods and software tools for simulating incompressible and compressible flows, with applications in medicine, chemical engineering, and aerospace. His research group addresses challenges in predicting cavitation effects, liquid jet breakup, and acoustic modulation in accelerating flows. Education Dipl.-Eng. in Automotive Engineering, University of Stuttgart (2009) Ph.D. in Mechanical Engineering, Imperial College London (2013) Research Interests His expertise spans: Numerical modeling of multiphase flows Acoustic wave propagation and modulation Cavitation dynamics and biomedical applications High-performance computing (HPC) for fluid dynamics Liquid jet atomization and particle-laden flows Surface tension and interface reconstruction techniques Publications and Software Fabian has published extensively in leading journals like Physics of Fluids , Journal of Computational Physics , and Journal of Fluid Mechanics . He co-developed software frameworks such as Wave-DNA and APECSS for simulating complex fluid dynamics and acoustic phenomena. Scientific Recognition Margaret Fishenden Centenary Memorial Prize (2015) Leadership Roles Vice-director, Canadian Society for Mechanical Engineering - Fluid Engineering Technical Committee Co-director, Editorial Advisory Committee of Canadian Journal of Chemical Engineering Active contributor to international conferences (APS DFD, ICMF, IUTAM)

Shouvik Chaudhuriمشاهده پروفایل

پژوهشگر ارشد

• Control Systems
• Electrohydraulic Actuation
• Nonlinear Control
• +۴ مورد دیگر

Shouvik Chaudhuri is a Research Fellow at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU). Holding a PhD and postdoctoral qualifications in Mechatronics, he conducts research in control systems and electrohydraulic actuation. His educational background includes advanced training in mechanical and electrical engineering systems. Dr. Chaudhuri's research focuses on nonlinear control methodologies with applications spanning: Electrohydraulic actuation systems and motion control Marine vehicle stabilization and control systems Energy-efficient refrigeration and thermal management Robust control applications in biomedical devices Mechatronic systems integration with vision-based sensing His recent publications demonstrate strong cross-disciplinary collaboration, particularly in marine engineering, thermal systems, and biomedical applications. Research frequently incorporates advanced control strategies including sliding mode control, adaptive neural networks, and fuzzy logic implementations. Dr. Chaudhuri actively supervises student projects in mechatronics and control systems, including: Trajectory generation for CNC foam cutting machines Autonomous aerial mapping using drone-based SLAM Electrohydraulic valve systems for pharmaceutical applications Diesel dosing units for exhaust system testing He maintains laboratory activities through SDU Mechatronics (CIM) research group, focusing on experimental validation of electrohydraulic systems and marine control technologies.

• Computer Graphics
• Physics-Based Simulation
• Fluid Dynamics
• +۳ مورد دیگر

Prof. Dr. Jan Bender holds a professorship in Computer Animation at RWTH Aachen University's College of Engineering. As a leading researcher in physics-based simulation methods, his work focuses on developing advanced numerical techniques for fluid dynamics, deformable solids, and multi-physics interactions through Smoothed Particle Hydrodynamics (SPH) and Finite Element Methods (FEM). Key Contributions: Invented PF-FLIP for two-phase flows, developed SymX symbolic framework for energy-based simulations, created STARK unified solver for robotics applications, and introduced implicit boundary handling for SPH Methodologies: Specializes in hybrid Eulerian/Lagrangian approaches, differentiable physics, adaptive discretization, and machine learning integration for simulation acceleration Research Impact: 2023 & 2024 Best Paper Awards in VMV and SCA conferences. His work enables billion-particle fluid simulations and realistic multi-body interactions for robotics, with applications in welding, thermal spraying, and soft robotics. Collaborations: Works extensively with robotics institutes (Gazebo Fluids extension) and materials science departments (TIG welding, thermal spray modeling). Maintains open-source code repositories for simulation frameworks.

• Turbulence theory
• Computational fluid dynamics
• Large-eddy simulation
• +۴ مورد دیگر

Shiyi Chen is Chair Professor in the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology (SUSTech) . From January 2015 to November 2020 he served as the founding President of SUSTech. He is an Academician of the Chinese Academy of Sciences, a Fellow of the American Physical Society (1995), the Institute of Physics (UK, 2004) and The World Academy of Sciences (TWAS, 2018). Education B.Sc. in Mechanics, Zhejiang University (1981) M.Sc. in Mechanics, Peking University (1984) Ph.D. in Mechanics, Peking University (1987) Research Interests Professor Chen is internationally recognized for pioneering work in turbulence theory and computational fluid dynamics . His research spans direct numerical simulation of turbulent flows, large-eddy simulation and sub-grid-scale modeling, lattice Boltzmann methods , multi-scale algorithms , and the industrial applications of turbulence in multi-phase flows, combustion, and granular media. He developed the mapping-closure theory for probability density functions in turbulent reacting flows and provided fundamental explanations for the two-dimensional inverse energy cascade. Awards & Honors Academician, Chinese Academy of Sciences (2013) Fellow, American Physical Society (1995) Fellow, Institute of Physics, UK (2004) Fellow, The World Academy of Sciences (TWAS) (2018) Qiu Shi Outstanding Scientist Award (2017) Shenzhen Education Reform Pioneer Award (2019) Leadership & Service Professor Chen has held numerous leadership roles: President, Southern University of Science and Technology (2015–2020) Vice President for Research and Dean of Graduate School, Peking University (2013–2015) Founding Dean, College of Engineering, Peking University (2005–2013) Chair, Department of Mechanical Engineering, Johns Hopkins University (2002–2004) Director, State Key Laboratory of Turbulence and Complex Systems (2011–present) Alonzo G. Decker Jr. Chair in Engineering and Science, Johns Hopkins University Oppenheimer Fellow & Group Leader, Los Alamos National Laboratory (1987–1997) Research Staff Member, IBM TJ Watson Research Center (1994–1999) Laboratory & Research Teams Since 2011 he has directed the State Key Laboratory of Turbulence and Complex Systems , fostering interdisciplinary research in high-Reynolds-number turbulence, multi-scale modeling, and advanced computational techniques. Under his guidance the laboratory collaborates closely with national aerospace and energy industries.

Alexander Gelfgatمشاهده پروفایل

استاد

• Hydrodynamic Stability
• Bifurcations
• Flow Control
• +۸ مورد دیگر

Prof. Alexander Gelfgat is a faculty member at the School of Mechanical Engineering , part of the Faculty of Engineering at Tel Aviv University . His research focuses on hydrodynamic stability , bifurcations , flow control , and computational fluid dynamics (CFD) , particularly in crystal growth , MHD , and high-performance computing contexts. Research Interests: Hydrodynamic stability and bifurcations Convection and rotating flows Shear layer dynamics Moving boundary tracking Crystal growth and melt flow His work spans three-dimensional flow instabilities , with applications to Czochralski crystal growth , Dean flows , and two-phase stratified channels . Recent studies emphasize non-modal disturbances and quasi-two-dimensional flow projections for enhanced visualization. Prof. Gelfgat has advised notable researchers including Yuri Feldman and Helena Vitoshkin . His publications address critical challenges in boundary layer instability , cross-flow wave propagation , and pressure-velocity coupled formulations for lid-driven flows in complex geometries.

Eirik Grude Flekkøyمشاهده پروفایل

استاد

• Porous Media Physics
• Fluid Dynamics
• Statistical Mechanics
• +۶ مورد دیگر

Eirik Grude Flekkøy is a Professor in the Department of Physics at the University of Oslo, where he conducts research at the Porous Media Laboratory SFF. His work spans multiple disciplines within physics and fluid dynamics, with a particular focus on porous media phenomena, statistical mechanics, and fluid flow behavior. Professor Flekkøy's research interests encompass porous media physics, fluid dynamics, statistical mechanics of two-phase flow, fracture mechanics, cavitation phenomena, superdiffusion, biomechanics of respiratory systems in marine mammals, and the physics of interstellar objects. His work demonstrates a remarkable interdisciplinary approach, connecting fundamental physics with biological and environmental applications. His recent publications reveal several key trends: extensive investigation of drainage processes in porous media under various conditions, development of theoretical frameworks for two-phase flow, exploration of biomechanical adaptations in seal nasal cavities, and continued research on the interstellar object 'Oumuamua. His work combines experimental approaches with theoretical modeling across scales from pore-level to macroscopic phenomena. Professor Flekkøy leads the Porous Media Laboratory SFF at the University of Oslo, where his team conducts experimental and theoretical research on fluid flow in complex media. His research group appears to collaborate extensively with colleagues both within the university and internationally, as evidenced by the multi-author publications spanning multiple institutions.

Mikael Mortensenمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Turbulent Flows
• Spectral Methods
• +۶ مورد دیگر

Mikael Mortensen is a Professor in Fluid Mechanics at the University of Oslo 's Department of Mathematics. His research spans Computational Fluid Dynamics (CFD), turbulent flow modeling, spectral numerical methods, and applications in biomedical flows, turbulent combustion, and space physics. He contributes to the 4DSpace strategic research initiative studying ionospheric instabilities. Primary Affiliation: Department of Mathematics, University of Oslo Collaborations: Center for Biomedical Computing (Simula), KAUST, Chinese Academy of Sciences Research Themes High-performance spectral Galerkin methods ( Shenfun ) Direct Numerical Simulation of turbulence ( spectralDNS ) Space plasma physics and ionospheric turbulence Multiphase flow modeling in industrial contexts Machine learning applications in fluid dynamics Publication Trends Mortensen's recent work focuses on spectral methods for turbulence modeling, plasma instability simulations, and machine learning applications in fluid dynamics. His articles demonstrate expertise in Python-based high-performance computing frameworks for CFD and interdisciplinary applications in space physics and biomedical engineering. Supervision PhD Students: Anna Piterskaya (2019-2025), Tormod Landet (2016-2019), Christopher Friedemann (2018-2020) Master Students: Jacob H. Hudtwalcker, Jacob T.S. Langmoen, Kei Yamamoto, Sverre Vinje Collaborative Initiatives Co-founder of the Kobe-Oslo Partnership (10 MNOK funding from Norwegian Research Council) Organized 15+ international workshops on plasma simulations Active in Python-based scientific computing education

• Rock Mechanics
• Fault Mechanics
• Geo Energy
• +۷ مورد دیگر

Dr. Wenzhuo Cao is an Assistant Professor at the Faculty of Geosciences , Utrecht University , specializing in coupled subsurface processes within the Department of Earth Sciences and the Earth Simulation Lab . His work bridges geomechanics, geo-energy, and sustainability. Key research areas include: Induced seismicity from fluid injection and mining Thermo-hydro-mechanical (THM) modeling for energy systems Rock fracture and permeability under stress Subsurface storage (CO2, geothermal, hydrogen) His 2023-2025 publications focus on forecasting seismic risks, optimizing energy storage, and experimental rock deformation. Recent works employ numerical simulations and statistical models to address mining hazards and geothermal systems. Current affiliations: Assistant Professor, Utrecht University Experimental Rock Deformation/HPT Group Pathways to Sustainability Research Theme

• Theoretical Physics
• Condensed Matter Physics
• Superconductivity
• +۳ مورد دیگر

Artjom Vargunin is a theoretical physicist affiliated with the University of Tartu, where he has held roles such as Associate Professor in Solid State Theory and Head of Laboratory at the Institute of Physics (2021-2023). His academic journey includes a Doctor's Degree (2010) and Research Master's Degree (2006) in Theoretical Physics from the University of Tartu, followed by postdoctoral positions at the University of Jyväskylä (Finland) and KTH Royal Institute of Technology (Sweden). His research focuses on superconductivity , particularly two-band and multiband superconductors disorder-driven phase transitions vortex dynamics and flux-flow conductivity stochastic processes in phase ordering His work bridges theoretical models with experimental signatures, emphasizing electronic structure, magnetic properties, and statistical methods. He has taught courses in Thermodynamics and Statistical Physics Stochastic Methods for Physicists Many-Particle Quantum Systems at the University of Tartu and Physics at the Estonian University of Life Sciences. Recent publications (2020-2012) explore disorder effects , spin-splitting fields , and boundary phenomena in superconducting systems, with a shift toward multiband and two-orbital models. Key collaborations include researchers like Mikhail Silaev and Egor Babaev. Technical skills include TeX , C/C++ , and Python . He is currently pursuing an M.Sc. in Data Science at the University of Tartu (since 2021), integrating computational techniques with his physics expertise.

Jochen Fröhlichمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Fluid-Structure Interaction
• Turbulent Flow Modeling
• +۵ مورد دیگر

Jochen Fröhlich is a Professor at the Department of Fluid Mechanics, Technische Universität Dresden (TUD), College of Engineering. His research focuses on computational fluid dynamics (CFD), fluid-structure interaction, and multiphase flows. University: Technische Universität Dresden Department: Fluid Mechanics Academic Rank: Professor His recent work emphasizes large-eddy simulation (LES) , direct numerical simulation (DNS) , and turbulent flow analysis in systems like aquatic canopies, compressor cascades, and sediment transport. Key applications include industrial cleaning processes , bubble dynamics , and microfluidic particle migration . The 15 most recent publications highlight his expertise in fluid-structure interaction , collision modeling , and CDF-driven process optimization . Subfields span turbulent boundary layers , non-spherical particle dynamics , hydrodynamic drag prediction , and flexible structure simulations .

Stephen L. Teitelمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Statistical Mechanics
• Critical Phenomena
• +۴ مورد دیگر

Stephen L. Teitel is a Professor in the Department of Physics and Astronomy at the University of Rochester . He joined the university as an Assistant Professor in 1986, was promoted to Professor in 1999, and served as Associate Chair from 2013-2018. His research focuses on theoretical condensed matter physics, particularly statistical mechanics, critical phenomena, and jamming transitions in granular systems. BS and PhD in Physics from Cornell University (1975, 1981) Postdoctoral appointments at Ohio State University (1981-83) and Weizmann Institute (1983-86) Recent work examines jamming behavior in athermal frictionless systems, with studies on compression-driven transitions, shear-induced flow, and particle shape effects. His research also extends to superconductivity and nanostructure stability. Notable awards include: Fellow of the American Physical Society (2000) Excellence in Teaching Award (2000, 2016) University Bridging Fellowship (2003) APS Outstanding Referee (2011)

• Fluid Mechanics
• Drop Dynamics
• Aeroacoustics
• +۶ مورد دیگر

Günter Brenn is a University Professor (Professor) at Graz University of Technology, Institute of Fluid Mechanics and Heat Transfer. His research spans fluid dynamics, two-phase flows, and aeroacoustics, with applications in automotive systems, ventilation, polymer processing, and biomedical engineering. Research Interests: Drop-jet collisions and fragmentation mechanisms Viscoelastic fluid dynamics Computational modeling of centrifugal polymer separation Turbulent flow aeroacoustics Smoke backlayering in tunnels Microfluidics and spray formation The 15 most recent articles highlight his work in nonlinear drop oscillations, turbulent pipe flow noise, and interdisciplinary applications of fluid mechanics in biomedical contexts (e.g., aortic dissection thrombosis). Methodologies include hybrid simulations, Large-Eddy Simulations, and analytical modeling. Key Affiliations: Institute of Fluid Mechanics and Heat Transfer, Graz University of Technology Research portal (PURE) contributions Teaching authorization in fluid mechanics

• Hypersonics
• Aerospace Engineering
• Thermal Protection Systems
• +۳ مورد دیگر

Matthew McGilvray is a Professor of Engineering Science at the University of Oxford and Senior Fellow in Hypersonics at the Oxford Thermofluids Institute. His research spans aerospace engineering, focusing on hypersonic flow dynamics, gas turbine heat transfer, and thermal protection systems for spacecraft. University of Queensland (BEng, PhD) 2009: Research Associate, Oxford Thermofluids Institute 2013: Associate Professor, University of Oxford 2021: Senior Research Fellowship, Royal Academy of Engineering 2023: Promoted to Professor Research Interests: McGilvray leads two major research groups: Hypersonics and Particle Deposition in Gas Turbines . His work includes: Designing hypersonic wind tunnels (Oxford HDT, T6, CXT) for spacecraft and scramjet testing Advancing transpiration cooling and pyrolysis gas effects for thermal protection Developing numerical tools (FROSST, LASTA, NESS) for shock tube simulations Analyzing ice crystal accretion and shedding in aeroengines Studying non-equilibrium thermochemistry and radiation in hypersonic flows Scientific Contributions: With over 54 journal articles and 135 conference papers, his recent publications highlight: Ice crystal dynamics in turbomachinery Thermochemical kinetics in hypersonic flows Ceramic-metal brazing for thermal protection Shock tube radiation diagnostics Boundary layer control via transpiration cooling Awards & Leadership: In 2021, he secured a Royal Academy of Engineering Senior Research Fellowship to establish the MoD Academic Centre of Excellence in Hypersonic Science and Technology . He has supervised 17 doctoral students and advances experimental facilities like the Oxford T6 Stalker Tunnel.