جست‌وجوی استاد و پژوهشگر

Sebastian Andersenمشاهده پروفایل

استادیار

• Structural Engineering
• Computational Modeling
• Real-Time Simulations
• +۶ مورد دیگر

Sebastian Andersen is an Assistant Professor at the Department of Civil and Mechanical Engineering, specializing in Structures and Safety at the Technical University of Denmark (DTU). His research focuses on computational modeling, real-time simulations, material science, and structural engineering. He has led and collaborated on projects such as Next Generation of 3D-printed Concrete Structures and AwaPave, emphasizing innovation in construction materials and pavement analysis. He has supervised numerous PhD students, including Zafar Hussan and Andrés Caballero Arcos, and contributed to datasets like ALVA for layered viscoelastic analysis. Andersen received the Sund & Bælt Hackathon 2019 award and has published extensively on topics ranging from hybrid simulations to asphalt pavement mechanics. His research interests include structural optimization, 3D printing technologies, and advanced numerical methods for civil engineering applications. Notable contributions include developing the ALVA MATLAB package for pavement analysis and pioneering work on thermoset formworks for complex concrete structures. He has also been involved in activities such as supervising projects on suspension bridge submodelling and optimization techniques for structural longevity. Key Projects: Next Generation of 3D-printed Concrete Structures, AwaPave Supervised Students: Zafar Hussan, Andrés Caballero Arcos, Jesper Waldbjoern Key Awards: Sund & Bælt Hackathon 2019 Labs/Teams: Construct Lab (www.construct.dtu.dk), Structural Analysis Team

• Materials Science
• Geochemistry
• Mineral Physics
• +۳ مورد دیگر

Dr. Renelle Dubosq is a Researcher at the Max Planck Institute for Sustainable Materials, affiliated with the Department of Microstructure Physics and Alloy Design. Her research focuses on advancing nanoscale analysis techniques, particularly atom probe tomography, to study deformation mechanisms in minerals, fluid inclusion behavior, and geochemical processes. She explores topics such as high-pressure metamorphic systems, cryogenic material behavior, and crystal plasticity in geological materials. Her work integrates experimental methods with computational modeling to understand microstructural evolution in minerals like garnet, mica, and pyrite under extreme conditions. Key themes include trace element mobility during deformation, the role of fluid inclusions in material hardening, and the application of correlative microscopy in nanogeology. Recent studies highlight her contributions to understanding deformation-induced chemical changes in white mica, the coherent solvus of alkali feldspar, and the mechanics of water ice at cryogenic temperatures. Her research bridges materials science and geology, offering insights into Earth's structural and chemical dynamics at the nanoscale. Dr. Dubosq has published extensively on atom probe tomography applications, metamorphic processes, and nanomechanical testing. No scientific awards are listed, but her work is recognized for its technical innovation and interdisciplinary approach.

Abdulaleem Albadawiمشاهده پروفایل

مدرس

• Fluid Dynamics
• Multiphase Flows
• Fluid-Structure Interaction
• +۳ مورد دیگر

Dr. Abdulaleem Albadawi is an Assistant Lecturer at the Department of Engineering Technology, School of Engineering, South East Technological University, Waterford. He holds a PhD from Dublin City University (2014), an M.Sc. from Trinity College Dublin, and a Double Diploma in Engineering from INSA Lyon. With 10 years of industrial experience in hydraulic design of turbomachinery equipment, he has contributed to patented hydraulic solutions. His research focuses on numerical and experimental studies of fluid systems, particularly multiphase flows and fluid-structure interaction. Dr. Albadawi specializes in hydraulic design optimization for improved energy efficiency and reduced carbon emissions. He has developed in-house numerical models (VOF, LS, CLSVOF) using both commercial (ANSYS) and open-source (OpenFOAM) software, and has designed experimental flow rigs with advanced measurement systems including Particle Image Velocimetry.

So-Hsiang Chouمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Methods
• Fluid Dynamics
• +۳ مورد دیگر

Dr. So-Hsiang Chou is a Professor of Mathematics and Statistics at Bowling Green State University (BGSU), located within the College of Arts and Sciences. He is affiliated with the Department of Mathematics and Statistics, where he contributes to both teaching and research in numerical analysis and computational mathematics. His research focuses on advanced numerical methods such as finite element methods, finite volume methods, and mixed covolume techniques, with applications to fluid dynamics, elliptic problems, and environmental modeling. Dr. Chou has published extensively, with notable contributions to error analysis, flux recovery algorithms, and computational fluid dynamics. His work includes studies on compressible nuclear waste disposal in porous media, lattice Boltzmann methods on unstructured meshes, and multigrid algorithms for elliptic problems. He has also explored domain decomposition algorithms and pole assignment in vibrational systems with aerodynamic effects. His research bridges theoretical numerical analysis and practical applications in engineering and environmental science. Dr. Chou’s publications span over two decades, demonstrating sustained expertise in developing and analyzing numerical schemes for partial differential equations. His contributions are highlighted in journals such as SIAM Journal on Numerical Analysis, Mathematics of Computation, and Physical Review E. Collaborations with researchers like Do Y. Kwak, Gongwen Peng, and others underscore his interdisciplinary engagement.

Arash Yavariمشاهده پروفایل

استاد

• Nonlinear Elasticity
• Geometric Mechanics
• Computational Mechanics
• +۳ مورد دیگر

Arash Yavari is a Professor at the School of Civil and Environmental Engineering, Georgia Institute of Technology. He holds a B.S. in Civil Engineering from Sharif University of Technology (1997), M.S. in Mechanical Engineering from The George Washington University (2000), and a Ph.D. in Mechanical Engineering (Applied Mechanics) with a minor in Mathematics from Caltech (2005). His research focuses on geometric mechanics, nonlinear elasticity, and discrete mechanics of crystalline solids with defects. He is a Fellow of the Society of Engineering Science and a member of the American Academy of Mechanics. Research Interests: Systematic theories for defective crystals, bridging atomistic and continuum models. Applications of differential geometry, exterior calculus, and algebraic topology in mechanics. Accretion mechanics, nonlinear anelasticity, and transformation cloaking in elastic structures. His work addresses challenges in non-periodic systems, discrete boundary-value problems, and the geometric foundations of mechanics. Recent studies include optimal elastostatic cloaking and universal deformations in anisotropic materials. Awards and Recognition: Fellow of the Society of Engineering Science (2018). Member of the American Academy of Mechanics. Grants and Projects: Included collaborations like the NSF-funded "Mechanics of Growing Bodies: A Riemannian Geometric Approach" (2011), focusing on geometric modeling of growth and accretion. Ongoing research explores cloaking structures and defect mechanics in nanomaterials.

• Digitalisation of scientific workflows
• Grain boundary segregation and cohesion of engineering alloys
• Materials Science
• +۳ مورد دیگر

Dr. Han Lin Mai is a Researcher at the Max Planck Institute for Sustainable Materials, Düsseldorf, Germany, affiliated with the Computational Materials Design department. His research focuses on digitalizing scientific workflows under the MaterialsDigital initiative and studying grain boundary segregation in engineering alloys. He holds a PhD in Engineering (2018–2022) and a Bachelor's in Mechanical Engineering (Space) from The University of Sydney, Australia. Education: PhD in Engineering, The University of Sydney (2018–2022) Bachelor of Mechanical Engineering (Space), The University of Sydney (2014–2017) Research Interests: His work bridges computational methods with materials science. He develops standardized workflows for reproducibility and investigates atomic-scale phenomena like grain boundary cohesion and element segregation in alloys. This research aids in understanding material failure mechanisms and improving engineering alloy design. Article Trends: His publications emphasize computational approaches (ab initio, first principles) and focus on material behavior under stress or environmental conditions, such as hydrogen embrittlement and nanowire mechanics. Lab/Team: Member of the Computational Phase Studies group, contributing to interdisciplinary material science projects.

Klaus Deckelnickمشاهده پروفایل

استاد

• Numerical Analysis
• Partial Differential Equations
• Geometric Evolution Equations
• +۳ مورد دیگر

Prof. Dr. Klaus Deckelnick is a Professor of Mathematics at Otto von Guericke University Magdeburg, affiliated with the Institute for Analysis and Numerical Analysis (IAN) within the Faculty of Mathematics. His research focuses on numerical analysis, partial differential equations, and geometric evolution equations, with particular expertise in finite element methods, shape optimization, and computational mathematics. He holds a Diploma from the University of Bonn (1988) and a Doctorate (1990) and Habilitation (1996) from the same institution. His academic career includes roles as a Lecturer and Reader at the University of Sussex (1998–2002) before joining Magdeburg in 2002. Research interests span numerical methods for geometric flows (e.g., mean curvature flow, elastic flow), optimal control problems, and error analysis for PDEs. His work often involves developing and analyzing finite element schemes for complex systems, including phase field models and surface evolution coupled with diffusion processes. Recent contributions include quasi-optimal error estimates for elastic flow approximations and novel finite element approaches for anisotropic curve shortening. Publications emphasize rigorous mathematical analysis and computational validation, with key areas in shape optimization using W1,∞ topologies, hyperbolic mean curvature flows, and boundary value problems for Willmore-like functionals. Despite extensive contributions, no scientific awards are explicitly mentioned. Collaborations include researchers like Gerhard Dziuk, Charles M. Elliott, and Ralf Nürnberg. His secretariat contacts are Birgit Dahlstrom and Stephanie Wernicke, supporting administrative and academic coordination.

Winnifried Wollnerمشاهده پروفایل

استاد

• Optimization
• Applied Mathematics
• PDE-Constrained Optimization
• +۷ مورد دیگر

Prof. Dr. Winnifried Wollner is a Professor of Optimization at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Computer Science and Natural Sciences. His research focuses on optimization with partial differential equations (PDEs), numerical methods for PDEs, and computational mechanics, particularly in the context of shape optimization and fracture mechanics. He holds a PhD from Heidelberg University (2010) and has held academic positions at TU Darmstadt and the University of Hamburg. He is actively involved in editorial boards of journals like the SIAM Journal on Control and Optimization and the OPTPDE Problem Collection. His work emphasizes adaptive numerical methods, phase-field fracture modeling, and optimization under constraints. Awards include the 2014 Teacher of the Summer Term award at Hamburg. He teaches courses on optimization, numerical methods, and PDE-constrained problems, and leads research projects funded by DFG and the Excellence Cluster CLICCS. Professional roles include membership in the MIN Faculty Council, the Department's Equal Opportunities Team, and leadership of the GAMM Student Chapter. His research spans interdisciplinary applications in engineering and computational science, with over 66 publications in top journals. Current projects include the DFG Research Training Group 2583 on fluid dynamics and optimization, and the SPP 1962 project on phase-field fracture simulation.

• Marine Geochemistry
• Environmental Bioinorganic Chemistry
• Ocean Chemistry
• +۳ مورد دیگر

James Moffett is a Professor of Biological Sciences and Civil and Environmental Engineering at the University of Southern California (USC). He holds a Ph.D. in Chemical Oceanography from the University of Miami (1986) and completed postdoctoral training at the Woods Hole Oceanographic Institution (1986–1988). His research focuses on marine geochemistry, trace metal biogeochemistry, and environmental bioinorganic chemistry. Key areas of investigation include the speciation and redox chemistry of trace elements in natural waters, metal-phytoplankton interactions, and bacterial-mediated metal precipitation reactions. Moffett has contributed significantly to understanding iron cycling in oxygen-deficient zones, hydrothermal plumes, and coastal environments. His work spans global oceans, including studies in the Pacific, Indian, and Southern Oceans. He serves as an Associate Editor for Marine Chemistry (2010–2011) and maintains an active research program involving interdisciplinary collaborations. His laboratory and fieldwork address critical questions in oceanography and biogeochemistry, with a focus on nutrient dynamics and the impacts of environmental conditions on chemical processes. Education: Ph.D., Chemical Oceanography, University of Miami (1986); B.S., Chemistry, University of Otago (1981); Postdoctoral Scholar, Woods Hole Oceanographic Institution (1986–1988). Research Interests: Geochemistry of oceans, trace element transport, metal-phytoplankton interactions, hypoxic zones, and hydrothermal systems. His studies integrate field observations, laboratory experiments, and modeling to elucidate biogeochemical cycles and their environmental implications. Advising and Grants: While specific student advisees are not listed, Moffett’s research involves collaborative projects with graduate students and postdoctoral researchers. His grants and collaborations focus on advancing understanding of trace metal dynamics in marine environments. Labs/Teams: Affiliated with USC’s Department of Biological Sciences and Civil and Environmental Engineering, contributing to interdisciplinary initiatives in oceanography and environmental science.

• Timber Tracing Technologies
• Genetic Structure Analysis
• Species Identification
• +۳ مورد دیگر

Barbara Rocha Venancio-Meyer-Sand is a Research Associate at the Department of Forest and Nature Conservation Policy at Wageningen University. She completed her PhD in 2024 under the supervision of Prof. Zuidema and Dr. Smulders, focusing on genetic and chemical methods for timber tracing. Her research interests center on timber authenticity verification , spatial genetic analysis of tropical tree species , and forensic applications of mass spectrometry . She has pioneered methods combining genomic data and elemental profiling to trace timber origins and combat illegal logging. Her work spans international collaborations in Cameroon, Indonesia, and Central Africa, addressing challenges in biodiversity conservation and sustainable forestry. Recent publications highlight advancements in plastid genome analysis and multi-element wood fingerprinting. Barbara contributed to the Genetic methods applied to tracing of tropical timber species project (2019–2024), which developed tools to combat illegal logging. Her research has been cited in policy documents and adopted by timber certification bodies.

• Biomechanics
• Orthopaedic Surgery
• Implant Design
• +۳ مورد دیگر

Stewart McLachlin is an Assistant Professor at the University of Waterloo, affiliated with the Department of Mechanical & Materials Engineering within the Faculty of Engineering. He leads the Orthopaedic Mechatronics Laboratory, focusing on biomechanics, orthopaedic surgery, implant design, and computational modeling. His research emphasizes improving surgical techniques and medical devices through biomechanical analysis and advanced technologies. Educations: 2013: Doctorate in Mechanical & Materials Engineering, University of Western Ontario, Canada. 2008: Master of Engineering Science in Mechanical & Materials Engineering, University of Western Ontario, Canada. 2006: Bachelor of Engineering Science in Mechanical & Materials Engineering, University of Western Ontario, Canada. His research interests include biomechanical testing of orthopaedic implants, computational modeling for surgical planning, and innovations in computer-assisted surgery. McLachlin has received notable awards, including the 2017 International Society for Computer-Aided Surgery Award and the 2018 Best Orthopaedic Surgical Resident Paper Presentation. Teaching: He has taught courses such as BME 488 (Biomechanics), BME 552 (Computational Biomechanics), and ME 380 (Mechanical Engineering Design Workshop) in recent years. His teaching spans biomechanics, engineering design, and foundational mechanical engineering principles. Labs & Teams: The Orthopaedic Mechatronics Laboratory under his direction explores cutting-edge technologies like 3D X-ray microscopy and virtual reality tools for surgical training. He collaborates on projects such as predictive spine surgery tools and smartwatch-based physiotherapy adherence tracking.

Gülden MÜLAYİMمشاهده پروفایل

پژوهشگر

• Applied Mathematics
• Computational Mathematics
• Numerical Analysis
• +۳ مورد دیگر

Gülden MÜLAYİM is a Researcher at Adiyaman University's Faculty of Arts and Sciences, Department of Mathematics, specializing in applied mathematics and computational methods. She completed her doctorate at Middle East Technical University in 2022 and has been actively contributing to research in model order reduction and reaction-diffusion systems. Her educational background includes: Licence in Mathematics from Fırat University Faculty of Arts and Sciences (2008) Master's degree in Mathematics from Fırat University (2010) Master's degree from University of Georgia, Athens, USA (2013) funded by a Ministry of National Education scholarship Doctorate in Scientific Computing from Middle East Technical University Institute of Applied Mathematics (2022) Dr. MÜLAYİM's research focuses on computational mathematics, particularly in the areas of model order reduction for complex systems. Her work bridges theoretical mathematics with practical applications in fluid dynamics, biological modeling, and nanofluid systems. She has developed specialized techniques for reaction-diffusion equations with cross-diffusion, tumor growth modeling, and natural convection in nanofluids. Her research combines numerical analysis, finite element methods, and reduced-order modeling approaches to tackle computationally intensive problems. Her recent publications demonstrate a strong trajectory in computational mathematics, with significant contributions in 2023-2024 including multiple journal articles and conference proceedings. Her work spans both theoretical developments in model reduction techniques and practical applications to physical systems, showing versatility across different domains of applied mathematics. Among her notable achievements are publications in reputable journals such as Communications in Nonlinear Science and Numerical Simulation, Applied Mathematics and Computation, and International Communications in Heat and Mass Transfer. Her collaborative work with researchers like Süleyman Cengizci and Hakan Fehmi Öztop demonstrates her integration into the broader computational mathematics community. Dr. MÜLAYİM teaches courses including Statistics for Engineers and Measurement and Evaluation in Education, contributing to both mathematics and interdisciplinary education at Adiyaman University. Her expertise in numerical methods and computational techniques informs her teaching approach, providing students with practical skills in mathematical modeling and simulation.

Ryan Paulمشاهده پروفایل

استادیار

• Flight Dynamics
• Aerodynamics
• Unmanned Aircraft Design
• +۴ مورد دیگر

Ryan Paul is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU). He holds an ORCID identifier (0000-0002-5883-8784) and specializes in flight dynamics, unmanned aircraft systems, aerodynamics, and pilot workload analysis. Prior to academia, he worked as a Flight Dynamics Engineer at the Naval Air Warfare Center Aircraft Division (2015–2020) and served as a Summer Faculty Fellow at Naval Air Systems Command (2022). Education: Ph.D. (Aerospace Engineering, NC State, 2015), M.S. (Aerospace Engineering, NC State, 2012), B.S. (Aerospace & Mechanical Engineering, OSU, 2010). He is a certified Flight Instructor and holds FAA licenses for commercial piloting and remote operation. Research focuses on flight dynamics simulations, unmanned systems design, aircraft certification, and spatial disorientation assessment. Key projects include work on urban wind impacts on drones, structural optimization for HALE aircraft, and advanced air mobility safety. Over 30 publications span topics like CFD-based aerodynamic modeling, propeller dynamometry, and flight control systems. Awards: Edward H. Heinemann Award (2019), Barry Goldwater Scholarship (2009), NSF Graduate Fellowship (2010). Teaching: Courses include Fundamentals of Aerodynamics, Aerospace Engineering Lab, and UAS Design/Analysis. Grants: Recent funding includes projects on spatial disorientation tools, drone payload capture systems, and autonomy for dynamic missions. Professional memberships include the Atmospheric Flight Mechanics committee and the Vertical Flight Society. His lab collaborates on projects like the Bellwether flying wing and Formula SAE aerodynamics optimization.

Yvon Madayمشاهده پروفایل

استاد

• Numerical Analysis
• Domain Decomposition Methods
• Computational Fluid Dynamics
• +۵ مورد دیگر

Yvon Maday is a Professor and Director of the Laboratoire Jacques-Louis Lions at Université Pierre et Marie Curie (UPMC). He specializes in numerical analysis, domain decomposition methods, and parallel computing. His research focuses on fluid-structure interaction, reduced basis methods, and quantum chemistry. He has directed numerous PhD students and contributed to influential publications in computational science. His editorial roles include journals like Journal of Scientific Computing and Calcolo . Key projects include the parareal algorithm for time-parallel integration and the reduced basis element method.

Nicolas Lehnerمشاهده پروفایل

استاد پژوهشی

• Galaxy Formation and Evolution
• Circumgalactic Medium
• Astrophysics
• +۳ مورد دیگر

Nicolas Lehner is a Research Professor in the Department of Physics & Astronomy at the University of Notre Dame. His research focuses on understanding galaxy formation and evolution through multi-wavelength spectroscopy and imaging. He investigates large-scale baryon flows and the circumgalactic medium (CGM) to validate galaxy growth models. Key projects include studies of the Andromeda galaxy’s circumgalactic gas (Project AMIGA), the Large Magellanic Cloud’s (LMC) winds, and the interstellar medium in the Milky Way using the ULLYSES survey. Education: B.Sc., Université Louis Pasteur, France (1994) M.Sc., Université Louis Pasteur, France (1995) Ph.D., Queen’s University Belfast, Northern Ireland (2000) Research Interests: Lehner specializes in the dynamics of circumgalactic gas, galactic winds driven by supernovae, and the interplay between galaxies and their environments. His work bridges observational studies (e.g., HST/COS surveys like KODIAQ and CASBaH) and simulations (e.g., FOGGIE project) to map gas phases, metallicity distributions, and cosmic baryon cycles. Publications Trends: Recent work emphasizes high-redshift CGM metallicity, Milky Way halo interfaces, and Magellanic system dynamics. Collaborations with Howk, Prochaska, and O’Meara dominate, focusing on HI absorption, O VI tracing, and multi-phase gas structure. Awards/Grants: No awards explicitly listed, but active in NSF-funded projects (e.g., KODIAQ Survey). Labs/Teams: Leads the AMIGA project and collaborates on the FOGGIE simulations. Involved in ULLYSES and CASBaH surveys.