جست‌وجوی استاد و پژوهشگر

• Advanced Casting Science and Technologies
• Computational Fluid Dynamics
• Computing, Simulation & Modelling
• +۹ مورد دیگر

Dr. Laszlo Konozsy is a Reader (Associate Professor) in Fluid Mechanics and Computational Engineering at the Centre for Computational Engineering Sciences, Cranfield University. He serves as Course Director for the MSc in Aerospace Computational Engineering, a top 5 UK program. His expertise spans computational fluid dynamics (CFD), turbulence modelling, and multiphysics simulations with industrial applications in aerospace, automotive, and energy systems. PhD in Engineering Sciences, University of Miskolc (2004) PhD in Computational Fluid Dynamics, Cranfield University (2006) His research focuses on anisotropic turbulence modelling , hybrid LES/RANS methods , micro/nanofluidics , and multiphysics simulations for aerospace and industrial processes. He pioneered acoustic streaming models for space applications and developed high-order numerical methods for incompressible flows. Dr. Konozsy has authored two Springer books on turbulence modelling, which received 72,000+ views on LinkedIn. He has over 100 publications, including 40+ peer-reviewed journals, and supervised 10+ PhD students. His work involves collaborations with the European Space Agency , Reaction Engines Ltd. , and Pangea Aerospace . Best Lecturer (Student Led Teaching Award) 2014/2015 Best Research Supervisor (Student Led Teaching Award) 2015/2016 9 awards for supervisory excellence Dr. Konozsy teaches 2500+ academic hours across institutions, emphasizing computational engineering and turbulence theory. He has established new educational frameworks and mentored award-winning students, including recipients of the Lord Kings Norton Medal and Vice-Chancellor's Prize .

• Computational Fluid Dynamics
• Multiphase Flow
• Nuclear Reactor Safety
• +۳ مورد دیگر

Dr. Thomas Höhne is a researcher at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), working within the Institute of Fluid Dynamics and the Department of Computational Fluid Dynamics. His work focuses on advanced simulations of fluid flow phenomena, particularly in safety-critical engineering systems such as nuclear reactors. His research interests include Computational Fluid Dynamics (CFD) , Multiphase Flow , Thermal-Hydraulics , and Nuclear Reactor Safety . His expertise lies in developing and validating high-fidelity numerical models to simulate complex fluid behavior under extreme conditions. While no recent publications are listed in the provided text, his affiliation with HZDR—a leading German research center—indicates active involvement in large-scale scientific projects related to energy and safety engineering. There are no scientific awards mentioned in the available information. Dr. Höhne contributes to collaborative research efforts and likely supervises junior researchers or students, though no formal advisees are listed. He is involved in research projects requiring advanced computational modeling and experimental validation. He is part of the Computational Fluid Dynamics team at HZDR, which conducts cutting-edge research in fluid dynamics with applications in energy technology and industrial safety.

Claudio Alanis Ruizمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Air Curtains
• Indoor Environment
• +۳ مورد دیگر

Claudio Alanis Ruiz is a Researcher at the Building Physics department within Eindhoven University of Technology. His academic profile includes an MSc in Sustainable Energy Technology (2016) and an EngD in progress. He actively contributes to environmental engineering and building simulation research. Education: MSc in Sustainable Energy Technology, Eindhoven University of Technology (2014–2016) Research Focus: Computational Fluid Dynamics (CFD) for indoor airflow Air curtain efficiency in building climate control UV germicidal irradiation systems Wind energy integration in high-rise structures Projects: Lead project member for CLAIRE LSHM22032 - Clean Air For Everyone (2022–2026) Scientific Output: 15+ peer-reviewed publications (2016–2025) 40+ Scopus citations

Ruud A.P. van Herpenمشاهده پروفایل

پژوهشگر ارشد

• Fire Safety Engineering
• Building Physics
• Materials Science
• +۳ مورد دیگر

Ruud A.P. van Herpen is a Research Fellow in Fire Safety Engineering at Eindhoven University of Technology (TU/e) and a Professor at Saxion University of Applied Sciences. He holds a Master’s degree in Civil Engineering from Delft University of Technology (1987) and transitioned to fire safety engineering around 1995. His career includes roles as Technical Director at Nieman Consulting Engineers (2002–2021) and Senior Fire Engineer at Peutz since 2021. His research focuses on Fire behavior in building materials (sandwich panels, insulation) Computational Fluid Dynamics (CFD) for fire-structure interactions Pyrolysis modeling Mass loss and flammability in pre-flashover fires Fire resistance testing Scale modeling His work spans structural engineering, materials science, and fire safety standards. Van Herpen initiated the post-graduate course Fire Safety Engineering & Management (2004–present) at the Dutch Fire Service Academy. Scientific recognition includes Fellow of the Institution of Fire Engineers (2011) 70+ Scopus citations Recent media engagements address rising residential fire rates in the Netherlands (2023).

Feifei Tongمشاهده پروفایل

عضو هیئت علمی

• Computational Fluid Dynamics (CFD)
• Flow Interference Around Structures
• Wave Hydrodynamics
• +۶ مورد دیگر

Feifei Tong is an Adjunct Senior Research Fellow in the School of Engineering at The University of Western Australia , specializing in Civil, Environmental and Mining Engineering . Their research focuses on computational fluid dynamics (CFD) , flow interference around structures , wave hydrodynamics , and coastal wave dynamics . They actively collaborate with international researchers, particularly in Australia and Asia-Pacific regions, addressing challenges in marine renewable energy systems and offshore engineering. Key research areas include hydrodynamic forces on submerged structures, vortex shedding suppression, and flow-structure interaction mechanisms. Their work contributes to sustainable development goals through innovations in subsea cable stabilization, offshore wind farm infrastructure, and underwater datacenter design. Tong holds a PhD in Engineering and has published extensively in top-tier journals like Physics of Fluids and Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering (OMAE) . Recent studies analyze wake transitions, oscillating cylinder dynamics under various flow conditions, and hydrodynamic damping mechanisms. Their research bridges experimental tank testing and advanced CFD simulations, yielding practical solutions for marine energy transmission and coastal protection systems.

• Computational Fluid Dynamics (CFD)
• Turbulence Simulation
• Wind Farm Optimization
• +۵ مورد دیگر

Professor Sylvain Laizet is a faculty member in the Department of Aeronautics at Imperial College London, part of the Faculty of Engineering. He holds a PhD and Habilitation à Diriger des Recherches from the University of Poitiers in France, specializing in Computational Fluid Dynamics (CFD). His research focuses on turbulent flows and their engineering applications, including wind farm optimization, quantum algorithms for fluid mechanics, and machine learning integration in CFD. Key research areas include: Wake-to-wake interaction in wind farms Bayesian optimization for drag reduction and energy efficiency Immersed boundary methods for moving objects Quantum computing for solving PDEs in fluid dynamics His work leverages high-order numerical methods and large-scale simulations, with contributions to frameworks like Xcompact3D and WInc3D. Recent publications emphasize quantum algorithms, turbulence entrainment, and data-driven optimization strategies for renewable energy systems. Scientific contributions span over 50 peer-reviewed articles in top-tier journals, focusing on advancing CFD methodologies and their applications in environmental and industrial fluid mechanics. His team collaborates globally, including partnerships in France and Brazil.

Alex Skillenمشاهده پروفایل

مدرس

• Computational Fluid Dynamics (CFD)
• Machine Learning
• Magnetohydrodynamics
• +۴ مورد دیگر

Dr. Alex Skillen is a Lecturer in Engineering Simulation and Data Science at the Department of Mechanical and Aerospace Engineering, University of Manchester. His research focuses on the intersection of Computational Fluid Dynamics (CFD) and machine learning, with applications in magnetohydrodynamics, environmental flows, and subcooled boiling phenomena. He actively contributes to interdisciplinary projects such as the Fluids Research Group and Physics-informed Deep Learning for Fusion Thermal Hydraulics. Education: PhD in Mechanical Engineering from the University of Manchester (2012), investigating overset grid methods for Navier-Stokes equations. Research Interests: CFD algorithm development, turbulence modeling, machine learning integration in flow simulations, and numerical analysis of multiphase phenomena. His work aligns with UN Sustainable Development Goals related to affordable and clean energy, and industry innovation. Collaborations include international projects on thermal hydraulics in nuclear systems and turbulence super-resolution using generative models. He has contributed datasets for turbulence research and developed open-source tools for fluid-structure interaction simulations. Advising: Supervised one PhD thesis titled 'The overset grid method applied to the solution of the incompressible Navier-Stokes equations in two and three spatial dimensions.' Active in mentoring within the Fluids Research Group. Labs/Teams: Core member of the Fluids Research Group and collaborator on the Exascale Partitioned Fluid-Structure Interaction (ParaSiF_CF) framework development.

Wilmer PASUTمشاهده پروفایل

استاد

• Energy Efficiency
• HVAC Systems
• Indoor Environmental Quality (IEQ)
• +۵ مورد دیگر

Wilmer PASUT is a Full Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He also contributes to the Interdepartmental School of Economics, Languages and Entrepreneurship for International Exchanges and the Research Institute for Green and Blue Growth. His research focuses on energy-efficient buildings, HVAC systems, and indoor environmental quality (IEQ), with a strong emphasis on decarbonization strategies and renewable energy integration. **Education**: PhD in Technical Physics (2011) from University of Padua, Postdoc at UC Berkeley’s Center for the Built Environment (CBE), and MEng in Mechanical Engineering (2007). **Research Interests**: Thermal comfort, energy-flexible buildings, plus energy houses, and the impact of climate change on building performance. He coordinates EU projects like MODERATE (Horizon Europe) and CULTURAL-E (H2020), and leads initiatives under the Italian National Recovery and Resilience Plan (PNRR). **Awards**: REHVA Young Scientist Award 2015. **Patents**: Heated/Cooled Chair Apparatus (US20140217785A1, US9833077B2). **Grants**: Overseeing projects totaling €12M+, including MODERATE (€5.2M), CULTURAL-E (€4.8M), and iNEST (€2.1M). Active in policy-making for regenerative economies via COST Action RESTORE. **Labs/Teams**: Leads the Building Performance Analysis group at Ca’ Foscari, collaborating with global partners like EURAC Research and UC Berkeley.

Kartik Jainمشاهده پروفایل

استادیار

• Biofluid Dynamics
• Computational Physiology
• Transitional Turbulence
• +۵ مورد دیگر

Kartik Jain is an Assistant Professor of Biofluid Dynamics at the University of Twente's Engineering Fluid Dynamics (EFD) group within the Faculty of Engineering Technology. He leads the Computational Physiology (Co∅) research group, focusing on computational modeling of physiological flows and biofluid dynamics. Education: Bachelor's in Control Engineering (Kurukshetra University) Masters in Mechanical Engineering with Simulation Sciences specialisation (RWTH Aachen University) PhD in Engineering (Dr.-Ing., University of Siegen, summa cum laude) Research Interests: Biofluid dynamics, transitional turbulence in physiological systems, computational modeling of renal hemodynamics, cerebrospinal fluid flow, and vascular stenosis. His work emphasizes high-performance computing (HPC) with contributions to the APES simulation framework and the Musubi Lattice Boltzmann solver. Recent Research Projects: Computational models for Type II Endoleaks and SIRT therapy optimization Optical Coherence Tomography (OCT) integration with flow simulations for stent planning Biofilm dynamics in confined geometries Advising & Grants: Supervises multiple PhD and MSc students on topics like particle transport in liver therapy and stent hemodynamics. Collaborates with institutions like the University of Zurich (NCCR Kidney.CH), University of Stuttgart (SFB1313), and industrial partners like Abbott Vascular. Labs & Teams: Co-directs the Co∅ team and actively contributes to the APES framework development at DLR Dresden. Engages in teaching fluid mechanics and Lattice Boltzmann methods at both bachelor and doctoral levels.

• Fluid Dynamics
• Biomedical Engineering
• Computational Fluid Dynamics
• +۳ مورد دیگر

Sanjiv Gunasekera serves as a Research Fellow in the Department of Mechanical & Aerospace Engineering at Monash University, affiliated with the Victorian Heart Institute (VHI). His work bridges mechanical engineering principles with cardiovascular clinical applications through advanced computational modeling. Research focuses on fluid-structure interactions in biomedical systems, particularly cavitation dynamics in engineered flows and hemodynamic analysis of vascular pathologies. Key specialties include dissolved gas effects in cavitating flows, computational modeling of arteriovenous fistulas, stent hemodynamics, and aneurysm rupture prediction. Current methodologies integrate high-fidelity CFD with experimental validation to address precision medicine challenges in cardiovascular care. Recent publications demonstrate strong thematic alignment between mechanical fluid dynamics and clinical cardiovascular engineering, with 2024-2025 work emphasizing patient-specific modeling for vascular access optimization and cavitation control in medical devices. Research consistently targets translational outcomes for improving surgical planning and diagnostic tools. As Chief Investigator for the 2024-2025 project "Bringing personalised aneurysm rupture predictions to the patient - precision medicine," Gunasekera leads a multidisciplinary team developing computational frameworks for individualized cardiovascular risk assessment, collaborating with clinicians and imaging specialists to bridge engineering models with clinical decision-making.

Peter Oshkaiمشاهده پروفایل

استاد

• Unsteady flows
• Flow-acoustic coupling
• Fluid-structure interactions
• +۷ مورد دیگر

Peter Oshkai is a Professor in the Department of Mechanical Engineering at the University of Victoria, affiliated with the Faculty of Engineering. His research focuses on complex fluid dynamics, including unsteady flows, flow-acoustic coupling, and fluid-structure interactions. His work addresses applications in marine renewable energy (e.g., tidal turbines), energy harvesting (oscillating foils), biomedical devices (droplet impact dynamics), and underwater noise mitigation for marine vessels. Educations: BA in Mechanical Engineering (Lehigh University) MS in Mechanical Engineering (Lehigh University) PhD in Mechanical Engineering (Lehigh University) Key Research Areas: Underwater radiated noise reduction via cavitation modeling and predictive simulations Design of vertical-axis tidal turbines for coastal energy systems Optimization of oscillating foil turbines for hydrokinetic energy extraction Droplet impact dynamics with applications to 3D bioprinting Lab & Collaborations: Fluid Mechanics Laboratory at UVic Partnerships with Lehigh University, Trinity College Dublin, Kanazawa University, and industry collaborators like Vivitro Systems and Robert Allan Ltd.

Payman Jalaliمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Granular Materials
• Computational Fluid Dynamics (CFD)
• +۷ مورد دیگر

Payman Jalali is an Associate Professor at the LUT School of Energy Systems, LUT University. His research focuses on fluid dynamics, granular materials, computational fluid dynamics (CFD), heat transfer, and multiphase flows. He has contributed to studies on energy systems, biomaterials, and biomedical engineering applications. His work integrates numerical methods such as the lattice Boltzmann method and discrete element method (DEM) to analyze complex phenomena like granular shock waves, conjugate heat transfer, and fluid-particle interactions. Key research areas include direct air capture systems, granular media failure mechanisms, and turbulence modeling in multiphase flows. His publications span from 2000 to 2025, with recent emphasis on CFD applications in energy systems and biomedical contexts. Notable contributions address challenges in fluid power systems, porous media behavior, and arterial blood flow dynamics. His academic contributions include over 50 peer-reviewed articles, covering topics from granular shear flows to cardiovascular modeling. Collaborative work bridges engineering and biomedical disciplines, reflecting his interdisciplinary approach to solving complex physical and biological systems.

A.E.P. (Arthur) Veldmanمشاهده پروفایل

استاد

• Fluid Dynamics
• Computational Fluid Dynamics
• Numerical Methods
• +۴ مورد دیگر

Prof. Arthur Veldman is a Professor in the Computational and Numerical Mathematics — Bernoulli Institute at the University of Groningen , within the Faculty of Science and Engineering. His research focuses on computational fluid dynamics, turbulence modeling, and numerical methods for multiphase flows and fluid-structure interactions. He holds additional roles as a Scientific Consultant at the National Aerospace Laboratory (NLR, Amsterdam) and as a Member of the Advisory Board at the Maritime Research Institute (MARIN, Wageningen). Key research interests include structure-preserving numerical algorithms, conservation properties in fluid simulations, and applications in aerospace and marine engineering. Recent work addresses vortex-induced vibrations in marine risers, sloshing loads in LNG tanks, and quasi-simultaneous coupling methods in hemodynamics. Professional Affiliations: Scientific Consultant, National Aerospace Laboratory (NLR) Advisory Board Member, Maritime Research Institute (MARIN) Recent Contributions: Advanced multiphase flow models for engineering applications Development of invariant-preserving discretization schemes for Euler equations Validation of turbulence models for marine and biomedical systems

Adeline De Montlaurمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics (CFD)
• Wind Energy
• Air Traffic Management
• +۵ مورد دیگر

Adeline De Montlaur is an Associate Professor at the Universitat Politècnica de Catalunya (UPC) within the School of Telecommunications and Aerospace Engineering of Castelldefels (EETAC), affiliated with the Department of Physics. She leads research in numerical methods for fluid dynamics and their applications in renewable energy systems and air traffic management. Her academic career includes a PhD in Aerospace Science and Technology (UPC, 2009), an M.S. in Mechanical and Aerospace Engineering (SUNY Buffalo, 2003), and an Engineering degree from ENSICA (France, 2002). Roles: Academic Staff, Researcher at LACÀN Center for Numerical Methods. Research Interests: High-order CFD methods, wind energy optimization, multiphase flows, air traffic flow management, and planetary atmospheric dynamics. Her work bridges computational methodologies with practical applications, such as optimizing wind turbine efficiency using flow control techniques and analyzing thermally-driven winds on Mars. She has contributed to over 50 publications and projects like the European-funded WOW-CONTROL initiative for turbine optimization. Awards include the 2023 Best Paper Award in Atmospheric Sciences. Key projects include wind resource assessment near hydroelectric dams, delay management strategies in air traffic control, and analytical models for aviation emissions. Adeline collaborates with global institutions and industry partners to advance sustainable energy and transport systems.

• Agricultural Engineering
• Sensor Technology
• Computational Fluid Dynamics
• +۷ مورد دیگر

Qianying Yi is a Postdoctoral Scientist at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Germany since July 2019, with a focus on Sensor Technology and Modeling . Her academic journey includes a PhD in Engineering (2015-2018) and a Research Assistant role (2018-2019) at Aarhus University , Denmark, and a Master in Pharmaceutical Engineering (2012-2015) and Bachelor in Biological Engineering (2008-2012) in China. PhD in Engineering, Aarhus University, Denmark Master in Pharmaceutical Engineering, Sichuan University, China Bachelor in Biological Engineering, Shandong University of Science and Technology, China Her research spans two distinct domains: (1) Agricultural Engineering , where she specializes in designing natural ventilation systems for livestock buildings, modeling indoor climate and emissions , and optimizing airflow patterns using computational fluid dynamics (CFD) and wind tunnel experiments , and (2) Pharmaceutical Engineering , where her early work focused on virtual screening of enzyme inhibitors for drug discovery applications, particularly targeting NAMPT , EphB4 , and MEK1 . Recent publications highlight her expertise in agricultural ventilation systems , including machine learning-based modeling , CFD simulations for multi-floor pig buildings, and pollutant dispersion mitigation . Earlier works emphasize computational drug discovery through pharmacophore modeling and molecular dynamics. While no explicit awards are listed, her career trajectory reflects interdisciplinary innovation across engineering and bioeconomy sectors.