جست‌وجوی استاد و پژوهشگر

• Large scale wave modelling
• Wave-current interaction modelling
• Wave energy conversion
• +۲ مورد دیگر

Bárður Joensen serves as an Assistant Professor in Ocean Engineering within the Faculty of Science and Technology at the University of the Faroe Islands. His academic role encompasses teaching courses in Fluid Mechanics, Structural Design, Energy Engineering, and introductory engineering, while maintaining an active research program focused on marine renewable energy systems. His research centers on computational modeling of ocean energy phenomena, with specialized expertise in large-scale wave dynamics, wave-current interactions, and hydrodynamic optimization of wave/tidal energy converters. Joensen employs advanced numerical methods including spectral wave modeling and fully nonlinear potential flow simulations to address challenges specific to the North Atlantic marine environment surrounding the Faroe Islands. His work bridges theoretical fluid dynamics with practical engineering applications for sustainable energy extraction. Analysis of his 2021-2024 publications reveals a cohesive research trajectory advancing wave energy conversion technologies through economic feasibility studies, hydrodynamic analysis of oscillating water columns, and innovative data-driven modeling approaches. Key contributions focus on optimizing energy capture in Faroese waters while addressing site-specific challenges like intense wave-current interactions and harsh marine conditions. Joensen currently leads the MAIWCIF research project (2024-2027), which systematically maps wave-current interaction zones in Faroese waters to identify optimal locations for wave energy converter deployment. This initiative demonstrates his commitment to translating academic research into practical solutions for regional renewable energy development.

• Ocean Engineering
• Hydrodynamics
• Numerical Modeling
• +۴ مورد دیگر

Guillaume Ducrozet serves as Professor of Ocean Engineering at Centrale Nantes since 2022, where he also holds the position of Deputy Director of the Research Laboratory in Hydrodynamics, Energetics & Atmospheric Environment (LHEEA) and coordinates the Erasmus Mundus REM+ program. His academic journey includes progression from Associate Professor (2010-2022) to his current professorship, with a Habilitation to supervise research obtained in 2020 from the University of Nantes. His research expertise spans multiple critical areas of ocean engineering: Numerical modeling of nonlinear wave phenomena using High-Order Spectral (HOS) methods Wave-structure interactions and marine renewable energy systems Experimental wave tank studies in facilities including a 140m long towing tank and a 50m x 30m ocean engineering tank Real-time wave prediction and deterministic wave generation techniques Extreme wave analysis and design for marine structures Ducrozet's recent publication trend reveals a sophisticated evolution in wave modeling approaches, with increasing emphasis on multi-fidelity methods for extreme wave load evaluation, real-time phase-resolved ocean wave prediction, and advanced coupling strategies between numerical models and high-fidelity solvers. His work bridges theoretical advancements with practical applications in offshore renewable energy, ship design, and marine safety. His scientific contributions have been supported through numerous collaborative research projects including ANR projects (Dysturb, CREATIF, SOGOOD), European initiatives (FLOATECH, FLOATFARM), and French national investments (IRT Jules Verne, LabEx MER, ISite NExT). As an educator, Professor Ducrozet teaches fluid mechanics and water waves and sea states modeling across Centrale Nantes' engineering programs, Master of Science in Hydrodynamics, and Master Erasmus Mundus in Advanced Ship Design. His extensive supervision of PhD students demonstrates his commitment to developing the next generation of ocean engineering researchers. His laboratory work at LHEEA integrates experimental measurements with numerical modeling to advance fundamental understanding of complex wave phenomena while developing practical solutions for marine engineering challenges.

• Ultrasonic Testing
• Solid Mechanics
• Structural Analysis
• +۶ مورد دیگر

Jose Manuel Galán Fernández is a Professor at the University of Seville, affiliated with the Higher Technical School of Engineering and the Department of Construction Engineering and Engineering Projects. His work focuses on structural mechanics, ultrasonic testing, and computational methods. Research Interests: He specializes in ultrasonic guided wave propagation, boundary element methods (BEM), finite element methods (FEM), and structural integrity analysis. His studies address wave scattering in plates, non-destructive testing (NDT), and mechanical design. Key Projects: Development of partitioned formulations for dynamic and contact problems Integration of substructures with complex couplings Finite element analysis of high-temperature storage tanks Publications: His research spans Lamb wave behavior, ultrasonic inspection techniques, and numerical modeling of structural systems. Recent works explore waveguide transitions and viscoelastic coating defects.

Christophe Zhangمشاهده پروفایل

پژوهشگر

• Control Theory
• Optimal Control
• Partial Differential Equations (PDEs)
• +۳ مورد دیگر

Christophe Zhang is a researcher currently seconded to the SPHINX team at INRIA Nancy Grand Est. His work focuses on control theory, specifically the stabilization, reachability analysis, and optimal control of partial differential equations (PDEs) and data-driven systems. Educational Background: PhD in Applied Mathematics (2019), Sorbonne Université Master's in Applied Mathematics (2016), Paris 6 University Engineering Degree (2015), École polytechnique Research Interests: His research spans the analysis and control of PDEs (hyperbolic and parabolic equations), data-driven modelling, Koopman operator methods, and reachability analysis with constraints. He explores techniques like backstepping, Fenchel duality, and computer-assisted proofs to tackle stabilization and controllability challenges. Publications: His recent work includes studies on conic-constrained reachability, non-reachability certification via duality, and stabilization of the heat equation and water wave systems. These papers emphasize rigorous mathematical frameworks combined with computational approaches. Experience: Researcher (2021–Present), INRIA Nancy Grand Est Postdoctoral Researcher (2020–2021), Friedrich-Alexander-Universität Erlangen Nürnberg PhD Candidate (2016–2019), Laboratoire Jacques-Louis Lions Teaching Assistant (2017), ETH Zurich

Mikhail Zaslavskiyمشاهده پروفایل

استادیار

• Computational Mathematics
• Model Reduction Techniques
• Inverse Problems
• +۲ مورد دیگر

Mikhail Zaslavskiy is an Assistant Professor at Southern Methodist University, holding a PhD from Lomonosov Moscow State University. His computational mathematics research focuses on forward and inverse PDE solutions through model reduction and multi-scale methods. Applications span geophysical exploration, radar/medical imaging, NASA propellant tank analysis, and unsupervised machine learning techniques for clustering large datasets in bioinformatics, finance, and social networks. Research pillars include Krylov subspace methods for wave propagation problems, homogenization techniques, and data-driven nonlinear inverse problem solutions.

Regine Eibl-Schindlerمشاهده پروفایل

استاد

• Bioreactor Engineering
• Tissue Engineering
• Biopharmaceutical Production
• +۴ مورد دیگر

Regine Eibl-Schindler is a Professor at the Zurich University of Applied Sciences (ZHAW) , School of Life Sciences and Facility Management. She leads the Center for Cell Cultivation Techniques, Tissue Engineering and Medical Biology, focusing on advanced bioreactor design and biopharmaceutical production processes. Project leader in bioreactor optimization for therapeutic cell production Deputy leader in vaccine and antibody manufacturing innovations Co-developer of single-use systems for stem cell and microbial cultures Her research spans bioreactor engineering , computational fluid dynamics (CFD) modeling , and process intensification for scalable cell culture systems. She has pioneered microcarrier-based cultivation of induced pluripotent stem cells and mesenchymal stem cells , emphasizing xeno-free media and disposable technologies. Recent work includes automated bioreactor qualification and shear stress optimization for cell growth. Her expertise in single-use bioreactors has been applied to diverse fields including cell therapy manufacturing , vaccine development , and cellular agriculture for clean meat production. She developed standardized qualification protocols for novel bioreactor designs and advanced process analytical technology (PAT) for real-time cell health monitoring. Key collaborations include optimizing CHO cell antibody production , HEK293 cell expansion , and plant cell bioreactors for pharmaceutical and food applications. Her work bridges bioprocess engineering with regenerative medicine , ensuring compliance with regulatory standards through rigorous CFD simulations and scale-up methodologies .

Madjid Karimiradمشاهده پروفایل

دانشیار

• Offshore Renewable Energy
• Marine Structures
• Floating Wind Turbines
• +۴ مورد دیگر

Dr. Madjid Karimirad is a Reader (Associate Professor) in marine and coastal engineering at Queen’s University Belfast (QUB), School of Natural and Built Environment. He specializes in offshore renewable energy structures, including floating and bottom-fixed wind turbines, wave energy converters, and floating solar units. His research focuses on coupled time-domain analysis of aero-hydro-servo-elastic systems and numerical modeling. Education: BSc (Mechanical/Marine Engineering, Sharif University of Technology, 2005), MSc (Mechanical Engineering/Ships Structures, Sharif University of Technology, 2007), PhD (Marine Structures, NTNU, 2011). Professional qualifications include CEng, MIMechE, PGCHET, FHEA, FIMarEST, and FIMechE. Research interests include structural dynamics, hydrodynamics, and offshore mechanics. He has led projects totaling £1M, including the Floating Solar Supporting De-Carbonisation of N. Ireland (£400K). Current grants include SolarTwin (£300K) and CoWEC (£100K). He supervises 2 postdocs and 4 PhD students, with past advisees completing theses on offshore wind fatigue, floating solar, and uncertainty quantification. Awards include Fellowships from IMarEST (2018) and IMechE (2021), and a Top Scholar recognition from ScholarGPS (2024). He serves on editorial boards of journals like Marine Structures and Ocean Engineering. Active in international conferences, organizing sessions at OMAE and RENEW since 2014. Expertise spans European standards (Eurocodes, Norsok) and software (HAWC2, FAST, ANSYS, MATLAB). He teaches Hydraulics, Renewable Energy Systems, and Structural Design at QUB.

Jian Zhouمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Numerical Methods
• Coastal Engineering
• +۴ مورد دیگر

Dr. Jian Zhou serves as a Reader in the Department of Computing and Mathematics at Manchester Metropolitan University, specializing in fluid mechanics and numerical methods for coastal and environmental engineering applications. His research focuses on developing mathematical models for coastal, estuarine, and river systems with particular emphasis on sediment transport and wave dynamics. Dr. Zhou earned his BSc in River Mechanics and Engineering from Wuhan University, followed by an MSc in Fluvial Mechanics from Tsinghua University, and completed his PhD in Fluid Mechanics at the University of Leeds. His educational background established the foundation for his expertise in computational hydraulics and environmental modeling. His research interests center on numerical methods for fluid dynamics, particularly lattice Boltzmann methods, high-resolution Riemann solvers, Cartesian cut-cell methods, and pressure correction techniques (SIMPLE, SIMPLER, SIMPLC). These computational approaches are applied to coastal engineering challenges including wave overtopping, sediment transport, and environmental pollutant dispersion. His work bridges theoretical computational methods with practical engineering solutions for coastal defense and water resource management. Dr. Zhou's publication record demonstrates consistent contributions to computational hydraulics, with recent work focusing on wind effects on wave overtopping, antibiotic transport in aquatic environments, and advanced lattice Boltzmann implementations. His research shows strong interdisciplinary connections between fluid mechanics, environmental science, and computational mathematics. Lloyds Science of Risk Prize (2012) Editor-in-Chief of European Journal of Mathematics and Applications Academic Editor for British Journal of Applied Science & Technology Associate Editor for Canadian Journal of Applied Mathematics Editorial Board Member for multiple mathematics and engineering journals Dr. Zhou supervises PhD students including Elysia Barker and leads the Digital Simulation for Hydrodynamics (DiSH) research group. His externally funded projects include NERC grants for wave overtopping assessment tools and UK-Africa network initiatives addressing antimicrobial resistance in Lake Victoria Basin. He maintains strong industry connections with organizations including Royal HaskoningDHV, HR Wallingford, Environment Agency, and EDF Energy. The DiSH research group, led by Dr. Zhou, focuses on developing computational tools for hydrodynamic simulation with applications in coastal engineering, environmental management, and water resource protection. The group's work integrates numerical modeling with practical engineering solutions for real-world challenges.

Marius P. Schamschulaمشاهده پروفایل

استاد

• Computational Physics
• Optics
• Remote Sensing
• +۷ مورد دیگر

Dr. Marius P. Schamschula is a Professor of Physics at Alabama A&M University (AAMU), within the College of Engineering, Technology, and Physical Sciences. His research interests span Computational Physics and Optics, focusing on Artificial Neural Networks, Remote Sensing/GIS, Hydrology, Space Weather, and Computer Clusters. In Optics, he explores Compact Systems, Optical Information Processing, Pattern Recognition, and Photorefractive Wave Mixing. His work includes analyzing orbital fragmentation events (e.g., rocket and satellite debris) and computational studies of carbon clusters. He contributes to databases like the Alabama Mesonet (ALMNet) for environmental monitoring. Dr. Schamschula’s publications span aerospace fragmentation dynamics, carbon nanomaterials, and remote sensing applications. No scientific awards or grants are explicitly mentioned. His current role emphasizes research in physics with applications in space technology and environmental science.

Audrey Sawyerمشاهده پروفایل

استاد

• Hydrogeology
• Surface Water-Groundwater Interactions
• Coastal Hydrology
• +۳ مورد دیگر

Audrey Sawyer is a Professor in the School of Earth Sciences at The Ohio State University, with a visiting appointment at Universitat Politècnica de Catalunya (Barcelona, Spain). Her research focuses on understanding surface water-groundwater interactions, coastal hydrology, and nutrient/contaminant transport dynamics. She holds a Ph.D. in Hydrogeology from the University of Texas-Austin (2011). Sawyer leads the Computational Hydrogeology Research Group, which combines field observations, laboratory experiments, and high-performance computing to study hydrogeological processes. Her work addresses critical issues like coastal water quality, climate impacts on groundwater systems, and sustainable water management. Education: Ph.D., University of Texas-Austin, 2011. Research Interests: River-groundwater exchange Coastal surface water-groundwater interactions Coupled fluid/heat flow and reactive transport Flume and wave tank studies Clean drinking water accessibility Recent work highlights include investigating submarine groundwater discharge pathways, saltwater intrusion due to climate change, and nutrient dynamics in tidal zones. Her studies emphasize methodological innovations like amphibious geophysical techniques and spectral analysis of hydrological connectivity. Awards and Grants: Her students have received GSA Graduate Student Research Grants (Castillo, Field), and her team has explored post-storm water resilience in Texas. She collaborates internationally and maintains a computational lab with advanced instrumentation. Labs/Teams: Computational Hydrogeology Research Group at OSU, with ongoing projects on flume experiments and numerical modeling of coastal systems.

ANA MARIA BERNABEU TELLOمشاهده پروفایل

استاد

• Coastal Morphodynamics
• Sediment Transport Dynamics
• Marine Geology
• +۳ مورد دیگر

Ana María Bernabéu Tello is a full-time Professor at the University of Vigo, affiliated with the Faculty of Marine Sciences and the Department of Marine Geosciences and Spatial Planning. She holds a PhD from the University of Cantabria (2000) with research focused on beach profile modeling. Her primary affiliation is with the CIM-UVigo research center and the XM2 Marine and Environmental Geology group. Her research interests center on coastal morphodynamics, sediment transport processes, and environmental management of marine systems. Key projects include studies on Ría de Arousa and Ría de Vigo ecosystems, with a focus on sediment dynamics, oil spill bioremediation, and the application of geophysical techniques like XRD and DGPS mapping. She has pioneered work on fluorescent tracer tracking for sediment dispersion analysis and developed mathematical models for oil degradation assessment. Recent publications (2022–2024) reveal a strong emphasis on: • Quantitative analysis of intertidal shellfish sandbanks • Wave-dominated sediment transport experiments • Bioremediation strategies for oil-polluted beaches • Hydrodynamic modeling of ría environments Her work integrates field observations, laboratory experiments, and numerical modeling to address coastal challenges in the Galicia-Northern Portugal Euroregion. No specific awards are listed, but her contributions are reflected in extensive collaborative research outputs and participation in initiatives like the RAIA observatory.

Sven Ahrendمشاهده پروفایل

استاد

• Fluid Dynamics
• Computational Fluid Dynamics
• Magnetic Resonance Velocimetry
• +۳ مورد دیگر

Sven Ahrend is a Professor at the Institute for Mathematics within the Faculty of Mathematics and Natural Sciences at the University of Rostock, Germany. His office is located at Ulmenstraße 69, Haus 3, Room 230 in Rostock (18051), with contact number +49 (0)381 498 6605. His research spans Fluid Dynamics , Computational Fluid Dynamics , and Magnetic Resonance Velocimetry , with significant applications in biomedical engineering, nuclear reactor design, and environmental fluid mechanics. Key interests include turbulence modeling in placental hemodynamics, cerebral aneurysm analysis, nuclear fuel assembly hydrodynamics, and submarine groundwater discharge systems. His work consistently bridges experimental MRV techniques with CFD validation, emphasizing industrial and medical applications. Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on MRI-based flow quantification for complex biological and engineering systems. Over 60% of articles address biomedical applications (placental/cerebral flows), while 30% target nuclear reactor safety, and 10% explore environmental fluid dynamics. Methodologically, all studies integrate advanced MRV measurements with CFD validation, highlighting his expertise in turbulence measurement and error quantification. His experimental work is anchored in the MRI Flow Lab at University of Rostock, which develops cutting-edge techniques for 3D velocity mapping in porous media and technical flows. Current projects include patient-specific lattice-Boltzmann simulations for aneurysm analysis and 3D-printed placental models for reproductive health research.

• Computational Structural Dynamics
• Railway Systems
• Very Large Floating Structures
• +۶ مورد دیگر

Dr. Jian Dai is an Associate Professor and Head of Studies for Civil Engineering at Oslo Metropolitan University's Faculty of Technology, Art and Design, Department of Built Environment. His research focuses on computational structural dynamics, railway systems, and very large floating structures, with applications to marine renewable energy systems and infrastructure dynamics. He holds a PhD from the National University of Singapore (2015) and a BEng from Tongji University (2009). Key research areas include hydroelastic analysis of floating photovoltaic systems, train-track interaction dynamics, and wave-structure interaction modeling. He leads the Net-Zero Future project aiming to reduce carbon footprints in built environments. He is a member of structural engineering research groups and has contributed to over 56 peer-reviewed publications. Current projects involve offshore floating solar arrays, submerged floating tunnel dynamics, and corrosion monitoring in suspension bridges. His work integrates experimental methods, numerical modeling, and machine learning for infrastructure resilience and sustainable energy solutions.

Richard A. Royceمشاهده پروفایل

استاد

• Naval Architecture
• Marine Engineering
• Hydrodynamics
• +۵ مورد دیگر

Richard A. Royce is the James J. Henry Professor of Naval Architecture and Director of Research at Webb Institute since 2011. He holds leadership roles in the Robinson Model Basin and Carpenter Shop. His academic background includes a Ph.D. from the University of Michigan (2001) and dual bachelor's degrees from Purdue University and UMich. Royce specializes in hydrodynamics, naval architecture, and computational modeling. His research focuses on transom flow dynamics, trimaran resistance prediction using artificial neural networks, and planing hull optimization. He has led major projects like the Navatek Consortium study and the Atlantic Center for Innovative Design initiative. Royce has received SNAME awards for undergraduate and graduate research excellence. Beyond academia, he serves as a design engineer for yacht projects and holds professional engineering certification in Connecticut. He teaches advanced courses in resistance & propulsion, propeller design, and fluid mechanics, while also guiding student thesis projects in Webb's towing tank facilities. Education: Ph.D. in Naval Architecture and Marine Engineering, University of Michigan (2001) M.S.E. in Mechanical Engineering, University of Michigan (1999) M.S. in Naval Architecture and Marine Engineering, University of Michigan (1998) B.S.E. in Naval Architecture and Marine Engineering, University of Michigan (1993, Summa cum Laude) B.S.I.M. in Industrial Management, Purdue University (1986, minor in Industrial Engineering) Research Interests: Royce's work integrates experimental hydrodynamics with computational methods. Key areas include: Partial ventilation in transom flows Resistance modeling for trimarans using AI Optimization of planing hulls via neural networks CFD analysis for yacht design Bulbous bow performance in semi-planing vessels His experimental work leverages Webb's Robinson Model Basin and collaborations with institutions like Stevens Institute and George Mason University. Professional Contributions: Royce has served as Principal Investigator for ONR-funded projects and led industry collaborations with firms like Navatek and Christensen Shipyards. His engineering experience spans yacht design, hydrodynamic analysis, and structural contract oversight. Recent training includes FARO SCENE software and STAR-CCM+ computational tools. Labs & Facilities: Directs the Robinson Model Basin laboratory and oversees the Carpenter Shop, critical facilities for Webb's hands-on engineering education. These labs support both academic research and student project development.

Mohammad Rahmatiمشاهده پروفایل

پژوهشگر

• Turbomachinery Design
• Renewable Energy Systems
• Aeroelasticity Analysis
• +۳ مورد دیگر

Dr. Mohammad Rahmati is a researcher at Northumbria University’s Department of Mechanical Engineering, specializing in turbomachinery design, renewable energy systems, and aeroelasticity analysis. He holds a PhD in Mechanical Engineering from University College London (UCL), where he developed viscous inverse methods for turbomachinery blade design. His work includes pioneering contributions to wave energy conversion (WRASPA model) and computational tools for aeroelasticity analysis in multi-stage turbines. Key collaborations include experimental studies at Manchester, Edinburgh, and Lancaster Universities, and research at the Rolls-Royce Centre in Oxford. He currently supervises PhD students in wind farm optimization and plasma actuation for vertical axis turbines. His research has secured EPSRC grants for instability studies in low-pressure turbines. Education: PhD in Mechanical Engineering (UCL), Fellow of the Higher Education Academy (2016), Member of ASME (2004). Research Interests: Innovative blade design methods, renewable energy device development, computational fluid dynamics, and aeroelastic performance optimization. Recent work includes Surface Acoustic Wave (SAW) technology for fluid-particle interaction studies and machine learning for wind farm power prediction. Grants & Awards: EPSRC grants for high-lift low-pressure turbine instability research and wind turbine blade analysis. His computational tool for aeroelasticity is widely adopted in industry. Labs & Teams: Rolls-Royce Centre collaboration, Northumbria’s renewable energy research group, and multi-university wave tank experiments.