جست‌وجوی استاد و پژوهشگر

Ralph Lindkenمشاهده پروفایل

استاد

• Fluid mechanics
• Turbomachines
• Flow measurement technology
• +۵ مورد دیگر

Prof. Dr.-Ing. Ralph Lindken is a Professor of Fluid Mechanics and Turbomachinery at Bochum University of Applied Sciences' Department of Mechatronics and Mechanical Engineering. His interdisciplinary research focuses on laser-optical measurement techniques (e.g., PIV), microfluidics, and geothermal drilling processes. He leads projects like SolarCool (photovoltaic cooling systems) and ROWDY (waterjet drilling optimization). Lindken holds a diploma in mechanical engineering from Ruhr University Bochum and conducted postdoctoral research at Delft University of Technology. He is actively involved in academic governance, serving on the Senate Research Commission and coordinating the Mechanical Engineering Network Association of German Engineers (VDI). His work bridges fundamental fluid mechanics with industrial applications, including renewable energy systems and advanced drilling technologies. Research Interests: Development of advanced PIV techniques for complex flows High-pressure jetting for geothermal drilling Evaporative cooling for photovoltaic efficiency Microfluidic interfacial dynamics Flow measurement in turbine systems Projects: FLOWPREDICT: vibration-based flow analysis for predictive maintenance KOENIG: multiscale wave-laboratory for fluid-sound interaction studies DOMINGO: automation of next-gen drilling processes Collaborations: International Geothermal Center GZB, TU Delft, and industry partners in renewable energy and fluid mechanics.

Qingyun Liمشاهده پروفایل

استادیار

• Environmental Geochemistry
• Energy Systems
• Water-Rock Interactions
• +۳ مورد دیگر

Qingyun Li is an Assistant Professor in the Department of Geosciences at Stony Brook University, where he has been a faculty member since 2021. His research focuses on experimental geochemistry, synchrotron X-ray techniques, and reactive transport modeling to study water-rock interactions in energy and environmental systems. Key areas include: biogeochemical reactions during subsurface energy storage, contaminant transport in groundwater, and coupling of chemical and mechanical alterations in rocks. Dr. Li holds a B.S. in Environmental Sciences from Peking University (2011) and a Ph.D. in Energy, Environmental, and Chemical Engineering from Washington University in St. Louis (2016). He conducted postdoctoral research at Stanford University and the SLAC National Accelerator Laboratory, advancing his expertise in mineral nucleation and geochemical modeling. His research lab, the Energy and Environmental Geochemistry Laboratory, explores three core themes: (1) water-rock interactions in geotechnical systems (e.g., geothermal energy, CO2 sequestration), (2) mineral nucleation and growth (e.g., barite, lithium carbonate), and (3) geochemical tools for environmental remediation (e.g., nitrogen/phosphorus reduction in Long Island groundwater). Recent work emphasizes shale-fluid interactions in hydraulic fracturing and the geochemical impacts of underground hydrogen storage. Publications highlight interdisciplinary approaches to understanding subsurface processes, including reactive transport modeling of mineral scaling, synchrotron-based imaging of shale alteration, and geochemical controls on cement deterioration under CO2 exposure. His research bridges laboratory experiments, field observations, and computational modeling to address challenges in energy sustainability and environmental protection.

• Mathematical Physics
• Fluid Dynamics
• Kinetic Theory
• +۳ مورد دیگر

Giorgio Martalò is a Researcher in the Department of Mathematical Physics at the University of Pavia. His work bridges mathematical physics, fluid dynamics, and applied mathematics, focusing on kinetic theory applications to gaseous systems, biological phenomena, and environmental engineering. Key research areas include chemotaxis modeling for Multiple Sclerosis, shock wave dynamics in gas mixtures, and optimal control strategies for waste treatment processes. His research explores both theoretical advancements and practical applications, such as deriving hydrodynamic limits from kinetic equations, analyzing reaction-diffusion systems with Allee effects, and developing numerical methods for complex fluid flows. Recent work addresses misinformation dynamics through prebunking strategies and investigates non-equilibrium phenomena in multi-component gas mixtures. Publications span multiscale modeling techniques, including hybrid kinetic models and IMEX finite volume schemes, alongside studies on thermal non-equilibrium in shock waves and optimal control of biocell composting systems. His interdisciplinary approach integrates mathematical rigor with real-world problem-solving in biomedical, environmental, and engineering domains.

• Numerical Methods
• Turbulence Modeling
• Computational Fluid Dynamics
• +۳ مورد دیگر

Firas Dhaouadi is an Assistant Professor at the Department of Civil, Environmental and Mechanical Engineering at the University of Trento. His research focuses on numerical methods, turbulence modeling, and hyperbolic conservation laws with applications in fluid dynamics and environmental engineering. He currently teaches courses such as 'Numerical Calculus and Programming' and 'Turbulence in Environmental Flows,' emphasizing practical implementation of numerical techniques and analysis of environmental fluid dynamics. His work spans computational fluid dynamics, phase-field models, and structure-preserving numerical schemes for multiphase flow systems. He collaborates on projects involving finite volume methods, hyperbolic reformulations of classical equations, and stability analysis of numerical schemes. His research integrates theoretical developments with real-world applications in environmental and engineering contexts. Dr. Dhaouadi has contributed to advancements in hyperbolic models for heat transfer, turbulence in stratified water bodies, and numerical methods for complex fluid systems. Though no awards are explicitly listed, his active publication record reflects sustained engagement with cutting-edge topics in applied mathematics and fluid mechanics.

Jamie Fosterمشاهده پروفایل

استاد

• Mathematical Modeling
• Applied Mathematics
• Lithium-ion Batteries
• +۵ مورد دیگر

Professor Jamie Foster is a faculty member in the School of Mathematics and Physics at the University of Portsmouth , affiliated with the Centre for Environmental and Renewable Energy Solutions . Their research focuses on mathematical modeling of physical processes in energy systems, particularly lithium-ion batteries, solar cells, and fluid dynamics. Foster leads a team developing models for battery degradation, charge transport, and energy storage technologies. They are a PhD supervisor and actively collaborate on interdisciplinary projects combining mathematics with engineering, chemistry, and biology. Research Interests: Mathematical modeling of electrochemical systems, continuum mechanics, homogenization techniques, and numerical methods. Key application areas include lithium-ion batteries (electrode mechanics, plating/dendrite formation), perovskite solar cells (charge transport, ion vacancy dynamics), and fluid flow in industrial processes (e.g., coffee brewing). Recent Work Trends: Articles emphasize multiscale modeling of energy storage systems, validation against experimental data, and software development (e.g., IonMonger for solar cells, DandeLiion for battery simulations). The work bridges fundamental mathematics with practical engineering solutions. Advising & Collaborations: Supervises PhD projects on batteries, solar cells, and coffee brewing. Collaborates with engineers, material scientists, and computational experts through interdisciplinary teams. Active in grants focusing on renewable energy solutions and battery technology advancement. Labs/Teams: Involved in the Centre for Environmental and Renewable Energy Solutions , leading projects on sustainable energy systems and mathematical modeling of energy technologies.

Norbert Lorenzمشاهده پروفایل

پژوهشگر

• Mathematical Modelling
• Numerical Solutions of Partial Differential Equations
• Thermal Analysis
• +۳ مورد دیگر

Norbert Lorenz is a Research Scientist at the Transfer Group of the Johann Radon Institute for Computational and Applied Mathematics (RICAM), part of the Austrian Academy of Sciences. He holds a Diploma in Technical Mathematics from Johannes Kepler University Linz (2002) and has extensive experience in industrial research, including roles at IMCC/MathConsult since 2004 and RICAM since 2011. His work focuses on mathematical modelling, numerical solutions of PDEs, and thermal analysis of mechanical systems, particularly in the context of internal combustion engines and tribological systems. Education: 1995–2002: Study of Technical Mathematics at Johannes Kepler University Linz 2002: Diploma in Technical Mathematics Research Interests: Simulation of mechanical systems with a focus on thermal dynamics Numerical methods for partial differential equations Modelling of hydrodynamic and mixed lubricated journal bearings Integration of mathematical models into industrial applications Publications highlight advancements in thermal-elasto-hydrodynamic modelling, gearbox dynamics, and multibody systems. His work bridges academic research and industrial challenges in automotive engineering, particularly through collaborations with AVL and IMCC. Current projects emphasize enhancing simulation accuracy for noise, vibration, and harshness (NVH) mitigation in mechanical systems. Labs/Teams: Active member of RICAM's Transfer Group, collaborating with industry partners like AVL in Graz on applied computational mechanics and tribology.

• Computational Mathematics
• Applied Mathematics
• Finite Element Methods
• +۵ مورد دیگر

Frédéric Valentin is a senior researcher at the National Laboratory for Scientific Computing (LNCC) in Brazil, where he led the Department of Computational and Mathematical Methods from 2015 to 2021. He also held an INRIA International Chair (2018-2023) and served on the applied mathematics board of Brazil's CNPq (2017-2020). Valentin currently leads the IPES Research Group and acts as the Brazilian scientific director for the Inria-Brasil partnership. Fields of Interest: Computational Mathematics, Applied Mathematics, Finite Element Methods, Domain Decomposition, Multiscale Modeling, High-Performance Computing, Machine Learning Valentin's research focuses on developing and analyzing numerical methods for multiscale phenomena in engineering and life sciences. He has published over 60 high-impact journal articles and book chapters, emphasizing local conservation properties, Petrov-Galerkin formulations, and parallel computing. His work bridges multiscale hybrid-mixed (MHM) methods with hybrid high-order approaches, enabling robust solutions for heterogeneous media and complex geometries. Scientific contributions include foundational work on MHM methods for Darcy, Stokes, and elasticity equations, with applications to heterogeneous coefficients and polytopal meshes. He co-developed error estimators for adaptive refinement and explored connections between stabilization and multiscale enrichment. Scientific Awards: INRIA International Chair (2018-2023) Valentin's group at LNCC collaborates internationally and contributes to Latin America's most advanced supercomputing center, which houses the Santos Dumont petaflop system. His work integrates numerical analysis with machine learning for next-generation computing architectures.

• High performance computing
• Computational chemistry
• Statistical mechanics
• +۵ مورد دیگر

Prof Peter V. Coveney holds a Chair in Physical Chemistry at University College London (UCL) , where he serves as Director of the Centre for Computational Science (CCS) . He is also an Honorary Professor of Computer Science at UCL and Professor Adjunct at Yale University School of Medicine. Interdisciplinary research spanning condensed matter physics/chemistry , materials science , and life/medical sciences Creator of LB3D and HemeLB lattice-Boltzmann codes Leader of major HPC projects: VECMA , CompBioMed , CompBioMed2 , and VPH NOE His research focuses on high-performance computing for multiscale simulations in biomedicine and materials science. Software developments include tools for deploying complex workflows on distributed HPC infrastructures and high-performance clouds. Recent publications highlight quantum simulation, HIV-1 protease inhibitors, and graphene interactions. Scientific Awards : Innovative Applications of Artificial Intelligence Award (1996) Fellow of the Royal Society of Chemistry (1996) Fellow of the Institute of Physics (1997) HPC Challenge Awards (2003-2018) NSF TeraGrid08 Transformational Science Award (2008)

Scott MacLachlanمشاهده پروفایل

استاد

• Computational Applied Mathematics
• Scientific Computation
• Multigrid Methods
• +۳ مورد دیگر

Scott MacLachlan is a Professor of Mathematics at Memorial University of Newfoundland. He holds a B.Sc. (Hon.) from the University of British Columbia and a Ph.D. in Applied Mathematics from the University of Colorado at Boulder. Previously, he served as Associate Professor at Tufts University. His research focuses on computational applied mathematics and scientific computation, particularly multigrid methods, finite-element discretizations, and numerical linear algebra. He is an associate editor for the SIAM Journal on Scientific Computing and SIAM Journal on Matrix Analysis and Applications, and co-chairs the program committee for the Copper Mountain Conference on Multigrid Methods. Education: B.Sc. (Hon.) in Mathematics and Computer Science (UBC, 2000), Ph.D. in Applied Mathematics (CU Boulder, 2004). Postdoctoral work at University of Colorado, University of Minnesota, and Delft University of Technology. Research interests include multiscale numerical analysis, PDE-based models in fluid/solid mechanics, and algorithm development for scientific computing. His work integrates functional analysis, numerical linear algebra, and physical modeling. He develops open-source software such as XBraid for parallel time integration and adaptive AMG codes. Publications span multigrid methods, domain decomposition, and liquid crystal simulations. He collaborates on projects involving thermal slip, magnetohydrodynamics, and geophysical electromagnetics. Teaching includes courses on numerical methods for PDEs at both Memorial University and Tufts. Professional activities include editorial roles, conference organization, and contributions to international workshops on multiscale modeling. His software tools and algorithmic innovations address challenges in parallel computing and large-scale simulations.

Oleg Ilievمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Numerical Simulation
• Porous Media
• +۵ مورد دیگر

Prof. Dr. Oleg Iliev is a leading researcher at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern. His work focuses on computational fluid dynamics, numerical simulation of multiphase flows, and porous media processes. He specializes in developing advanced algorithms for CFD, reactive transport modeling, and multiscale methods. His research integrates computational methods with engineering applications such as filter design, battery technology, and environmental systems. Key research interests include: Porous media flow simulation CFD-DEM coupled systems Reactive transport in heterogeneous media High-performance computing and parallel algorithms His publications (2016–2022) highlight contributions to: Pore-scale modeling of filtration and catalytic processes Machine learning integration with numerical PDE solvers Uncertainty quantification in subsurface flows GPU-accelerated stochastic simulations Prof. Iliev collaborates with industry and academia on projects involving Li-ion batteries, filter efficiency optimization, and exascale computing frameworks like EXA-DUNE.

Som Duttaمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• High Performance Computing
• Machine Learning for Fluid Dynamics
• +۳ مورد دیگر

Som Dutta is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Utah State University . His research focuses on high-fidelity computational fluid dynamics (CFD) modeling with applications to environmental flows, aerospace systems, and machine learning (ML) integration. Education: PhD in Civil Engineering (2017), MS in Civil Engineering (2012) from University of Illinois at Urbana-Champaign, BS in Civil Engineering (2008) from Birla Institute of Technology, Mesra. Research Interests: Som investigates turbulent multiphase flows, environmental fluid mechanics, and ML-based surrogate models for digital twins of energy and space systems. His work spans applications in river/coastal mechanics, hybrid rocket propulsion, and bioregenerative life support systems for lunar exploration. Awards: Recognized with the Undergraduate Research Mentor of the Year (2029, 2021), Bayfield Visiting Researcher award (2019), and prestigious fellowships including ATPESC (2017) and CSE Fellowship (2011). Teaching: Courses include Fluid Mechanics, Computational Fluid Dynamics, and Numerical Methods at both undergraduate and graduate levels. Publications: His recent work includes studies on lunar life support systems, droplet fragmentation physics, and Great Salt Lake hydrodynamics. He employs GPU-accelerated CFD and DNS/LES methods for multiscale flow analysis.

Nadia Kouraytemمشاهده پروفایل

استادیار

• Metal Additive Manufacturing
• 3D Printing
• Material Characterization
• +۳ مورد دیگر

Dr. Nadia Kouraytem is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Utah State University, where she directs the METAL 3D Structures Lab. Her research focuses on characterizing process-structure-property relationships in laser-based metal additive manufacturing using advanced experimental techniques and in-situ measurements. She collaborates with national laboratories and industry partners to advance applications in aerospace, defense, and renewable energy sectors. Education PhD in Mechanical Engineering from King Abdullah University of Science and Technology (KAUST, 2016), MS in Mechanical Engineering (KAUST, 2013), and BS in Mechanical Engineering from American University of Beirut (2011). Research Interests Her work encompasses metal additive manufacturing (3D printing), multi-scale material characterization, process optimization for structural applications, and the development of physics-driven and data-driven models to predict material behavior under extreme conditions. She employs techniques ranging from in-situ X-ray imaging to mechanical testing across temperature and strain-rate regimes. Publication Focus Her 15 most recent articles (2016–2025) predominantly explore additive manufacturing defects, process parameter optimization, material behavior under dynamic loading, and innovative characterization methods. Trends include laser powder bed fusion, multi-material systems, and computational modeling approaches bridging microstructural features to macroscopic properties. Awards and Honors Undergraduate Research Mentor of the Year, MAE Department, USU Recognition as a woman leader in Utah's advanced manufacturing industry (UAMMI) Grants and Advising She secured a $800,000 NEUP grant to study mechanical variability in additively manufactured metals and collaborates on a DOE-SETO project analyzing creep-fatigue interactions for renewable energy applications. Currently advises five graduate students on topics including functionally graded materials and recuperator design for concentrated solar power. Laboratory Leadership The METAL 3D Structures Lab utilizes in-situ process monitoring, microstructural characterization, and multi-scale mechanical testing to evaluate additive manufacturing outcomes. Current projects involve collaborations with Argonne National Laboratory and industry partners to qualify materials for high-temperature applications.

Tim Felle Olsenمشاهده پروفایل

پژوهشگر ارشد

• Microstructure
• Stream Surface
• Structural Engineering
• +۳ مورد دیگر

Tim Felle Olsen is a Research Fellow in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in computational structural design through topology optimization and additive manufacturing methodologies. His research expertise spans: Microstructure engineering Stream surface applications Structural performance analysis Additive manufacturing processes Multiscale modeling Frame field theory Recent publications (2022-2024) reveal a concentrated focus on de-homogenization techniques using stream surfaces and frame field-aligned multi-laminar structures, demonstrating significant advances in computational efficiency for complex engineering designs. His work bridges theoretical computational geometry with practical structural engineering applications, particularly in lightweight infill structures and manufacturing-ready topologies. He actively contributes to the Center of Excellence for Exascale CFD (2023-2026) as a project participant, advancing large-scale optimization for computational fluid dynamics. Previously, he completed his PhD research on "Irregular Grid Topology Optimization" (2019-2022) under supervision of leading experts including Niels Aage and Ole Sigmund. No scientific awards or student advisement activities are documented in the current profile.

Dimiter Petsevمشاهده پروفایل

استاد

• Electrokinetic Phenomena
• Colloid Science
• Statistical Mechanics
• +۷ مورد دیگر

Dimiter N. Petsev is a Professor in the Department of Chemical and Biological Engineering at the University of New Mexico (UNM), serving as the CBE Graduate Advisor. His research focuses on electrokinetic phenomena, complex fluids, nanomaterials, and colloidal science. He holds a Ph.D. in Chemical Physics and Engineering from the University of Sofia (1996) and has held roles at Purdue University, University of Alabama in Huntsville, and University of Houston before joining UNM in 2005. Education: Ph.D., University of Sofia, Chemical Physics and Engineering, 1996 M.S., University of Sofia, Chemical Physics, 1987 Research Interests: Dr. Petsev’s work spans electrokinetic phenomena, surface and colloid science, and fluid dynamics of complex fluids. Key areas include nanometer-sized particle interactions, emulsion stability, protein solutions, molecular dynamics, and guided self-assembly of nanostructures. He employs computational models like classical density functional theory and lattice Boltzmann methods. Research Contributions: His publications highlight studies on electric double layers, nanofluidics, porous media transport, and machine learning applications. The lab collaborates with Frank van Swol on statistical mechanics and advanced computational methods. Lab & Resources: The Colloids and Interfaces Group uses high-performance computing (HPC) resources at UNM’s Center for Advanced Research Computing (CARC) for multiscale modeling.

Helmut Geistlingerمشاهده پروفایل

استاد

• Environmental Engineering
• Hydrology
• Porous Media
• +۳ مورد دیگر

Prof. Dr. Helmut Geistlinger is the Head of the Working Group 'Experimental Simulation and Modeling' at the Helmholtz Centre for Environmental Research (UFZ) in Halle, Germany. He holds a Diplom-Physiker (Dipl.-Phys.), Doktor-rerum naturalium (Dr.-rer.nat.), and Doktor-habilitation (Dr.-Ing. habil.). His professional experience spans from 1980, including roles as a Research Assistant at the University of Leipzig, Postdoc in quantum-field methods, Head of the 'Chemical Sensors' group at TU Leipzig, and Assistent of the Scientific Director of UFZ since 1992. Since 1997, he leads his current group and is Hon.-Prof. at TU Freiberg. His research focuses on multiscale-multiphase modeling of flow and transport in porous media, linking experiments with conceptual models using deterministic and stochastic approaches. Key interests include capillary trapping, fluid displacement dynamics, and CO₂ sequestration. His work integrates experimental visualization, numerical modeling, and field data analysis, addressing environmental challenges like groundwater remediation and subsurface energy storage. Geistlinger's expertise spans 40+ years with over 80 publications (2025–1996), addressing topics like evaporation in micromodels, pore-scale heterogeneity effects, and geoelectrical monitoring. His team collaborates with institutions globally, advancing understanding of subsurface processes critical for sustainable resource management.