جست‌وجوی استاد و پژوهشگر

• Theoretical/computational mechanics of materials
• Computational plasticity
• Multi-scale material modeling
• +۴ مورد دیگر

Curt Bronkhorst is the Harvey D. Spangler Professor of Engineering and Professor of Applied Mechanics in the Department of Mechanical Engineering at the University of Wisconsin-Madison. He received his B.S. in Mechanical Engineering and Mathematics (1985), M.S. (1988), and Ph.D. (1991) in Mechanical Engineering from the Massachusetts Institute of Technology. His career includes roles as Senior Scientist at Weyerhaeuser (1991–2002) and Scientist/Project Leader at Los Alamos National Laboratory (2002–2019) before joining UW-Madison. He leads the Army Research Laboratory's Center for Extreme Events in Structurally Evolving Materials and contributes to the Theoretical and Computational Mechanics of Materials Group . PhD (1991) - Massachusetts Institute of Technology MS (1988) - Massachusetts Institute of Technology BS (1985) - University of Wisconsin-Madison Bronkhorst's research focuses on theoretical and computational mechanics of materials , particularly under extreme conditions. Key themes include: Coupled thermo-mechanical deformation Finite elasticity and dislocation slip plasticity Deformation twinning and phase transformations Pore nucleation and adiabatic shear banding Brittle-to-ductile transition mechanisms Multi-scale modeling of damage evolution His 2025–2023 publications emphasize data-driven modeling , void nucleation , and machine learning integration in EBSD analysis. Recent work explores gradient nanostructured metals and low-grain polycrystal stress heterogeneity . 2019: Harvey D. Spangler Professorship 2012: DOE Defense Programs Award (Implosion Predictive Capability) 2009: DOE Outstanding Mentor Award 2007–2008: Los Alamos Distinguished Performance Awards Fellow, American Society of Mechanical Engineers Member, Phi Kappa Phi and Tau Beta Pi Honor Societies Bronkhorst serves as Associate Editor for the International Journal of Plasticity and president of Northland Partners, LLC. He is affiliated with UW-Madison's Nuclear Engineering & Engineering Physics and Materials Science & Engineering departments. No formal advisees are listed, but his computational framework has been adopted in grants like the DMREF collaborative research on grain-interface design.

Christian Engwerمشاهده پروفایل

استاد

• Partial Differential Equations
• Numerical Analysis
• Finite Element Methods
• +۷ مورد دیگر

Christian Engwer is a full Professor at the University of Muenster in the Institute for Applied Mathematics, specializing in Analysis and Numerics. He leads the Engwer Group focused on Applications of Partial Differential Equations and is actively involved in the Cells in Motion initiative as a supervisor in the CiM-IMPRS Graduate Programme. His research centers on developing numerical methods for partial differential equations, particularly addressing challenges in complex geometries and multi-physics applications. He specializes in Unfitted Discontinuous Galerkin methods, which allow simulations on complex geometries without requiring domain-fitted meshes. His work spans porous media modeling, biological systems, and bioelectromagnetism applications, with significant contributions to EEG/MEG forward modeling in neuroscience. Analysis of his recent publications reveals a strong focus on model order reduction techniques, stabilized numerical schemes for cut-cell meshes, and applications in bioelectromagnetism. His work demonstrates a consistent trajectory toward developing robust, efficient numerical methods applicable to real-world problems in medical imaging and biological modeling, with increasing emphasis on high-performance computing implementations. Professor Engwer actively supervises doctoral students, with recent completions including Lukas Renelt (2025), Michael Wenske (2021), and Maria Carla Piastra (2019), among others working on topics related to numerical methods and biomedical applications. He leads several major research projects including BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG Imaging (NIH-funded since 2019), multiple EXC 2044 Cluster of Excellence projects through 2025, and the InterKI interdisciplinary teaching program on machine learning and artificial intelligence. His group develops several important software packages including DUNE (Distributed and Unified Numerics Environment), duneuro (for bioelectromagnetism applications), and TPMC (Topology Preserving Marching Cubes). These tools support research in numerical methods and their applications to complex scientific problems.

Anthony R. Ingraffeaمشاهده پروفایل

استاد

• Computational Mechanics
• Fracture Mechanics
• Structural Engineering
• +۴ مورد دیگر

Anthony R. Ingraffea is a Professor in Cornell University's College of Engineering, Department of Civil and Environmental Engineering. He has taught structural mechanics, finite element methods, and fracture mechanics at Cornell since 1977. His research focuses on computational simulation systems for fracture control in engineered systems, combining experimental testing with numerical modeling. His groundbreaking work in computational mechanics includes pioneering interactive computer graphics applications and leading the $15M NSF-funded Synthesis National Engineering Education Coalition. He received significant recognition for addressing aging aircraft problems through NASA-sponsored research. Key research areas include: Fracture mechanics in aerospace and civil systems Finite element analysis for complex materials Environmental risk assessment of energy infrastructure Digital twin technology for predictive engineering Renewable energy systems modeling Scientific awards highlight his achievements: NASA Group Achievement Award (1996) ASTM Irwin Medal (2006) TIME Magazine 'People Who Mattered' (2011) Fellow of the International Congress on Fracture (2009) NSF Presidential Young Investigator (1984) He has secured over $35M in R&D grants from agencies like NSF, NASA, and industry partners including Boeing and IBM. His educational innovations in engineering teaching technology earned multiple university and national awards.

Jorge Viñalsمشاهده پروفایل

استاد

• Soft Matter Physics
• Materials Science
• Biomechanics
• +۵ مورد دیگر

Jorge Viñals is a Professor at the School of Physics and Astronomy , University of Minnesota, and Director of Graduate Studies. His research focuses on theoretical and computational studies of nonequilibrium phenomena in extended systems, with applications to Soft Matter Physics, Materials Science, and Biomechanics. Affiliation: Director of Graduate Studies, School of Physics and Astronomy Institution: University of Minnesota Collaborations: Minnesota Supercomputing Institute, University of Oslo, Cornell, Carnegie Mellon His work examines mesoscale theories of systems outside thermodynamic equilibrium, particularly unstable interfaces and moving topological defects. Current projects include studies of chiral symmetry breaking in nematic liquid crystals, field dislocation mechanics in defected solids, and biomechanics of epithelial tissue with orientational order. Recent publications highlight computational approaches to nematic defect structure , topological charge quantification , and plasticity modeling . Key journals include Soft Matter , Proceedings of the Royal Society A , and Physical Review B . Key collaborators: Lucas Myers, C.D. Schimming, Luiza Angheluta, Manas Upadhyay Grants: NSF-funded projects on active matter and liquid crystal dynamics, Department of Defense research on intraosseous catheters

Liew Kim Meowمشاهده پروفایل

استاد

• Composite Materials
• Multiscale Modeling
• Structural Optimization
• +۵ مورد دیگر

Prof. Liew Kim Meow is a Chair Professor of Civil Engineering at City University of Hong Kong (CityU) since 2005. He previously served as Head of the Department of Architecture and Civil Engineering (2011–2017) and held tenured professorial positions at Nanyang Technological University (NTU), Singapore. He earned BS from Michigan Tech (1985), MEng (1988), and PhD (1991) from the National University of Singapore. His research focuses on composite materials, multiscale modeling, structural optimization, and computational mechanics. Notable contributions include pioneering work on carbon nanotube-reinforced composites and advanced numerical methods. He has published over 800 papers with 38,000+ citations (H-index 97). Education: BS, Michigan Technological University (1985) MEng, National University of Singapore (1988) PhD, National University of Singapore (1991) His awards include Clarivate Analytics' Highly Cited Researcher (2018–2019), Xiangjiang Scholar (2017), and multiple fellowships from professional institutions. He serves as Editor-in-Chief of International Review of Civil Engineering and holds editorial roles in over a dozen journals. He founded key research centers like the Nanyang Center for Supercomputing and Visualization (NTU) and led initiatives in computational mechanics. His work influences global research in composite materials and structural analysis.

• Antennas
• Applied Electromagnetics
• Computational Electromagnetics
• +۲ مورد دیگر

Giuseppe Vecchi is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino , Italy. He leads the Applied Electromagnetics research group and contributes to projects in computational electromagnetics, metamaterials, and biomedical applications of electromagnetic fields. He has been a IEEE Fellow since 2010 and serves on PhD college committees for Electrical, Electronic, and Communications Engineering. Research Interests : Antennas, Applied and Computational Electromagnetics, Metamaterials, Microwave Imaging for medical applications, Nuclear Fusion Reactor Physics. Scientific Leadership : Principal Investigator for projects like METEOR, MTSA, and RESOLVED-K, focusing on terahertz generation, metasurface antennas, and real-time temperature mapping in hyperthermia. Awards : IEEE Fellow (2010), recognizing his contributions to electromagnetic simulations and antenna design. Students : Supervises PhD candidates in advanced antenna engineering, computational electromagnetics, and biomedical applications, including Owais Khan, Francesco Lattanzio, and Sara Paknezhad Panahi. Patents : Holds multiple patents in antenna diagnostics, encrypted metasurface antennas, and microwave soil disinfection systems.

Panayiotis Papadopoulosمشاهده پروفایل

استاد

• Computational Mechanics
• Solid Mechanics
• Biomechanics
• +۱ مورد دیگر

Panayiotis Papadopoulos is a Professor and the Byron and Elvira Nishkian Chair in Structural Engineering at the University of California, Berkeley. He serves as Director of the CoE Aerospace Engineering Programs and contributes to the Computational Solid Mechanics Lab. Education: Ph.D. in Civil Engineering, University of California, Berkeley (1991) M.S. in Civil Engineering, University of California, Berkeley (1987) Dipl. in Civil Engineering, Aristotle University, Thessaloniki, Greece (1986) Research Interests: Professor Papadopoulos specializes in computational mechanics, solid mechanics, biomechanics, and applied mathematics. His work bridges theoretical modeling with advanced numerical methods, focusing on multiscale analysis, thermomechanical coupling, and material failure mechanisms. Publication Trends: His recent research emphasizes multiscale finite element methods, thermomechanical analysis of deformable solids, and biomechanical modeling. Key themes include contact mechanics, phase transformations in shape-memory alloys, and computational approaches for microstructural analysis. Scientific Awards: Byron and Elvira Nishkian Chair in Structural Engineering Labs and Teams: He leads the Computational Solid Mechanics Lab, which develops advanced numerical frameworks for material behavior under complex thermomechanical conditions.

Travis B. Thompsonمشاهده پروفایل

استادیار

• Mathematical Modeling
• Scientific Computing
• Machine Learning in Medicine
• +۵ مورد دیگر

Travis B. Thompson, Ph.D. is an Assistant Professor in the Department of Mathematics and Statistics at Texas Tech University, leading the TM4 (Texas Tech Translational and Theoretical Mathematical Modeling and Machine Learning in Medicine) research group. His academic journey includes postdoctoral work at Rice University, Simula Research Laboratory, and the University of Oxford, focusing on mathematics applied to neurodegenerative diseases. Education: Ph.D. in Mathematics from Texas A&M University (2013) Dr. Thompson develops theoretical mathematical models and applies scientific computing and machine learning to study neurological pathologies, particularly Alzheimer’s disease. His work explores complex biological processes on networks, translational healthcare applications, and nutritional security implications. Current research trends integrate neuroimaging data with finite element simulations to model tau progression , amyloid beta dynamics , and glymphatic clearance in age-related diseases. Scientific awards and honors were not explicitly mentioned in the provided materials. Dr. Thompson’s interdisciplinary approach connects computational neuroscience with biomedical engineering , utilizing techniques like diffusion tensor imaging and level set methods to analyze pathological protein spread and brain tissue mechanics . The TM4 research group focuses on network neurodegeneration , personalized medicine , and machine learning diagnostics . Their work spans from microfluidic cancer detection to computational modeling of brain clearance mechanisms , addressing challenges in both neurodegenerative diseases and biomedical engineering through rigorous mathematical frameworks.

Christoph Schrankمشاهده پروفایل

دانشیار

• Structural Geology
• Rock Physics
• Tectonic Modeling
• +۴ مورد دیگر

Christoph Schrank is an Associate Professor at QUT's School of Earth and Atmospheric Sciences, specializing in structural geology and rock physics. His research combines field studies with synchrotron-based experimental techniques to investigate deformation processes in tectonic settings. Research focuses on: Synchrotron analysis of rock deformation Tectonic modeling of fault systems Geothermal energy applications Pattern formation in porous media Publication analysis shows emphasis on experimental rock physics (40%), microstructural analysis (30%), and Precambrian tectonics (20%). His work frequently integrates advanced imaging techniques with mechanical modeling. Funded projects include ARC DP170104550 (pressure waves in earthquake mechanics) and DP140103015 (finite strain modeling). Coordinates Honours program for Earth Science and teaches structural geology field methods.

C. Armando Duarteمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Engineering
• Multiscale Modeling
• +۵ مورد دیگر

Prof. C. Armando Duarte is the Nathan M. Newmark Distinguished Professor in Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign (UIUC). He holds affiliations with the Computational Science and Engineering Program and the National Center for Supercomputing Applications (NCSA). His research focuses on computational mechanics, particularly the Generalized Finite Element Method (GFEM/XFEM), multiscale modeling, fracture mechanics, and hydraulic fracturing. He has authored/co-authored over 100 publications and co-edited books on computational methods. Education: Ph.D. (1996) and M.Sc. (1991) in Engineering Mechanics from the University of Texas at Austin and Federal University of Santa Catarina, respectively, and a B.Sc. in Mechanical Engineering from the Federal University of Pernambuco. Professional Roles: Professor at UIUC since 2015, previously at the University of Alberta and visiting roles at institutions in Brazil, Portugal, and the Netherlands. He serves on editorial boards of computational mechanics journals and chairs committees for professional societies like USACM and ASCE. Research Interests: Multiscale problems, computational fracture mechanics, meshfree methods, and multiphysics simulations. His work emphasizes 3D fracture analysis, hydraulic fracturing, and thermal gradient modeling. Awards: Recognitions include the Nathan Newmark Professorship, USACM Fellowship, and multiple best paper awards. His work has been cited over 9,000 times, with papers featured in top journals like Computer Methods in Applied Mechanics and Engineering . Teaching: Renowned for excellence in courses like Finite Element Methods, Structural Analysis, and Computational Plates and Shells. His teaching accolades span over two decades at UIUC.

Stephan Raveمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Scientific Computing
• Machine Learning
• +۴ مورد دیگر

Dr. Stephan Rave is a Researcher in the Institute for Analysis and Numerics at the University of Münster. He is affiliated with the Applied Mathematics Münster cluster and serves as an Investigator in Mathematics Münster. His work focuses on numerical analysis, scientific computing, and machine learning, with a strong emphasis on model reduction techniques for complex systems. Education : PhD in Mathematics (2012), University of Münster, thesis on finitely summable K-homology. Master's and Bachelor's degrees in Mathematics from the University of Münster. Research Interests : Dr. Rave specializes in model order reduction (MOR) methods, including reduced basis techniques, localized orthogonal decomposition (LOD), and nonlinear approximation strategies. His work addresses challenges in multiscale modeling, domain decomposition, and parametrized partial differential equations. He also develops open-source software tools like pyMOR for MOR and contributes to initiatives like the MaRDI (Mathematical Research Data Initiative) to enhance interoperability in scientific computing. Projects : Key initiatives include the MaRDI project (2021–2026), EXC 2044 Cluster of Excellence (Geometry-based modeling), and MULTIBAT (lithium-ion battery simulation). His research bridges theoretical developments with practical applications in battery modeling, electrochemistry, and computational fluid dynamics. Grants & Awards : Funded by DFG, the German Federal Ministry of Research, and internal university grants, his work addresses strategic areas like sustainable research software and energy storage systems. He leads projects on distributed model reduction and communication-avoiding algorithms. Teaching : Dr. Rave teaches advanced numerical methods courses, including Model Order Reduction, Numerical Methods for PDEs, and Python-based computational labs. He co-organizes seminars and workshops on MOR and scientific software engineering.

Kevin Clarnoمشاهده پروفایل

دانشیار

• Nuclear and Radiation Engineering
• Computational Nuclear Energy
• Multiphysics Simulation
• +۵ مورد دیگر

Kevin Clarno is a tenured Associate Professor in the Department of Nuclear and Radiation Engineering at the University of Texas at Austin, holding the Charlotte Maer Patton Centennial Fellowship in Engineering. His research focuses on computational nuclear energy, multiphysics reactor simulation, and high-performance computing (HPC). Previously, he spent 15 years at Oak Ridge National Laboratory (ORNL), where he led major initiatives such as the Consortium for Advanced Simulation of Light Water Reactors (CASL) and contributed to the development of software tools like SCALE, CTF, and VERA. Education and Career: Assistant Professor at University of Tennessee-Knoxville (2010–2016) Senior Research Scientist at ORNL (2006–2021) Research Interests: Multiphysics coupling methods for reactor simulation Multiscale neutronics and thermal-hydraulics modeling Advanced reactor design (e.g., molten salt reactors) HPC-driven software integration for nuclear analysis Uncertainty quantification in coupled simulations Grants and Projects: Lead of CASL’s Physics Integration Focus Area Development of the Advanced Multi-Physics (AMP) fuel code ORNL-led strategic research projects in reactor simulation Labs and Tools: VERA: Virtual Environment for Reactor Applications CTF: Thermal-hydraulic solver for PWR analysis MPACT: Neutronics simulation tool within SCALE

Susanne C. Brennerمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Finite Element Methods
• +۸ مورد دیگر

Susanne C. Brenner is a Boyd Professor at Louisiana State University, holding a joint appointment between the Department of Mathematics and the Center for Computation & Technology (CCT). She has served as Associate Director for Academic Affairs at CCT since 2008. Brenner's research focuses on numerical analysis, scientific computing, and computational methods across mechanics, electromagnetics, and PDEs. She has held leadership roles including President of SIAM (2021-2022), and has been recognized with prestigious awards such as the Humboldt Research Award and SIAM Fellowship. Editorial Roles: Managing Editor of Mathematics of Computation, Editor-in-Chief of SIAM Classics in Applied Mathematics, and member of editorial boards for SIAM Journal on Numerical Analysis, Numerische Mathematik, and others. Service: NSF MPS Advisory Committee (2016-2022), AAAS Section A Member (2017-2021), and Scientific Advisory Boards for institutions like Weierstrass Institute and Hausdorff Center for Mathematics. Her contributions span academic leadership, computational mathematics research, and international collaboration. Brenner has held visiting positions globally and serves on panels for funding agencies like the ERC and DFG.

Antti H. Niemiمشاهده پروفایل

استاد

• Computational Solid Mechanics
• Structural Engineering
• Civil Engineering
• +۵ مورد دیگر

Antti H. Niemi is a Professor and Dean at the University of Oulu 's Faculty of Technology , specializing in computational solid and structural mechanics. His research focuses on advanced numerical methods for engineering analysis and design. Research areas include computational mechanics, structural engineering, and metamaterials Develops innovative finite element methods for thin-body problems Current projects address snow structures, timber building envelopes, and machine learning applications in mechanical systems His recent work emphasizes discontinuous Petrov-Galerkin (DPG) methods for plates and shells, with applications in civil and mechanical engineering. Publications cover: Snow and ice vaults (2024) Machine learning for steel beam capacity prediction (2024) Hygrothermal analysis of timber structures (2024) DPG formulation for Reissner-Mindlin plates (2023) Shell element benchmarking (2018-2022)

Hüsnü Dalمشاهده پروفایل

استاد

• Computational micromechanics
• Multiscale and multifield problems
• Materials theory
• +۳ مورد دیگر

Hüsnü Dal is a Professor at Middle East Technical University (METU) in Ankara, Turkey, specializing in computational mechanics of materials. His research bridges engineering and biomedical applications through advanced computational modeling techniques. Education: Bachelor's Degree, Middle East Technical University, 2001 Master's Degree, University of Stuttgart, 2005 PhD, Dresden University of Technology, 2011 Research Focus: Prof. Dal's work centers on computational micromechanics, multiscale and multifield problems, and materials theory. He investigates fracture in multiphysics media with applications in lithium-ion batteries and tissue mechanics, developing novel constitutive models for complex material behaviors under extreme conditions. His research integrates thermomechanical coupling, viscoplasticity, and data-driven approaches to solve engineering challenges in both synthetic polymers and biological systems. Publication Trends: Recent publications (2023-2025) reveal a dominant focus on data-driven constitutive modeling and phase-field fracture methods. His work spans rubber mechanics, polymeric foams, biological tissues, and battery materials, characterized by strong interdisciplinary connections between materials science, biomechanics, and computational engineering. Key themes include anisotropic hyperelasticity, thermo-viscoplastic fracture, and spatial property variations in additively manufactured materials.