جست‌وجوی استاد و پژوهشگر

• Geotechnical Engineering
• Rock Mechanics
• Slope Stability
• +۳ مورد دیگر

Professor Shanyong Wang is a leading academic in geotechnical engineering at the University of Newcastle's School of Engineering, where he serves as a Professor in the Priority Research Centre for Geotechnical Science and Engineering. His research focuses on developing innovative techniques to improve weak ground mechanics through fundamental studies of fracture and compaction grouting, with applications in civil infrastructure design including underground structures, roads, retaining walls, and foundations. Professor Wang's research interests span rock mechanics, slope stability, experimental and numerical analysis of grouting in soils and rocks, soil nailing systems, and coupled multi-physics modeling of fractured formations. His work combines sophisticated testing techniques with advanced computational methods to transform grouting from an art into a predictable science. His recent publications demonstrate a strong focus on advanced material formulations for geotechnical applications, multiscale modeling of fracture processes, and innovative solutions for tunnel engineering and mining challenges. The research consistently bridges fundamental mechanics with practical engineering applications, particularly in subsurface construction and ground improvement technologies. Professor Wang has received numerous scientific awards including the prestigious 2018 John Booker Medal in Engineering Science. He currently supervises five PhD students and one postdoctoral researcher, and has secured substantial research funding exceeding $3 million, including ARC Future Fellowship and Early Career Researcher awards. He leads research in the Geotechnical Science and Engineering group, developing laboratory facilities for grouting technologies and novel computational methods. His team's experimental and numerical work has applications in both civil and mining engineering sectors.

Andrei Gusevمشاهده پروفایل

استاد

• Multiscale Materials Modeling
• Computational Materials Science
• Polymer Networks
• +۳ مورد دیگر

Andrei Gusev is a Professor at the Department of Materials at ETH Zurich, Switzerland. He holds a Ph.D. from the Moscow Physical-Technical Institute (1987) and completed his Habilitation in 1998 on modeling of multiphase materials. His research focuses on multiscale methodologies for computational design of complex microstructure materials, with applications in heterogeneous materials' properties and industrial systems. He co-founded MatSim GmbH and the Complex Fluid Design Consortium (CFDC). Research Interests: Development of computational tools for mechanical, thermal, and viscoelastic properties of materials Coarse-grained continuum-level approaches to mesoscopic materials modeling Applications in polymer networks, composites, and viscoelastic systems Recent Research Trends: Advances in polymer network modeling, including entangled systems and viscoelastic properties Optimization of composite materials for stiffness and damping trade-offs Validation of theoretical frameworks like the Miller-Macosko theory through molecular simulations Professional Activities: Co-founder of MatSim GmbH and CFDC Active in academic-industrial collaborations, particularly in materials design and computational modeling

Michael Ortizمشاهده پروفایل

استاد

• Solid Mechanics
• Multiscale Material Modeling
• Computational Mechanics
• +۷ مورد دیگر

Michael Ortiz is the Frank and Ora Lee Marble Professor of Aeronautics and Mechanical Engineering at the California Institute of Technology (Caltech), affiliated with the Division of Engineering and Applied Science. His research focuses on solid mechanics, multiscale material modeling, and computational mechanics. He leads a group studying material behavior across length and time scales, including fracture mechanics, data-driven methods, and hydrogen embrittlement. His work bridges fundamental science and engineering applications, emphasizing real-world problem-solving through applied mathematics and computational tools. Research interests include the physics of solid materials under diverse conditions, multiscale modeling of metals and composites, and the development of advanced numerical methods. Notable projects involve ultrasonic neuromodulation, hydrogen storage in magnesium alloys, and topology optimization of lithium-ion battery anodes. He collaborates internationally on initiatives like the Data-Driven Computational Mechanics project and the M-HEAT hydrogen embrittlement study. Ortiz has advised over 40 PhD and master’s students, contributing to impactful research in fracture mechanics, materials science, and computational methods. His funded projects span NIH-supported neuromodulation studies to EU-funded hydrogen economy initiatives. He is actively involved in the Solid Mechanics group at Caltech and collaborates with institutions globally, advancing interdisciplinary research in mechanics and materials.

• Computational Modeling
• Mathematical Modeling
• Neurostimulation
• +۲ مورد دیگر

Edward T. Dougherty is a Professor at Roger Williams University's College of Arts and Sciences with an active research career spanning computational modeling applications across neuroscience, biomedical informatics, and environmental science. His work demonstrates interdisciplinary expertise connecting mathematical theory with practical solutions to complex scientific problems. Primary research domains include neurostimulation modeling, knowledge graph development for clinical research, and computational approaches to environmental challenges Recent work focuses on enhancing medical question-answering systems using BioBERT and developing interactive platforms for exploring COVID-19 research landscapes Longitudinal research shows consistent contributions to mathematical modeling of biological systems with applications in pest management and soil science Dr. Dougherty's publication trajectory reveals evolving research interests from agricultural modeling toward biomedical applications, with increasing focus on computational neuroscience and health informatics in recent years. His collaborative approach is evident through partnerships across multiple disciplines. While no specific awards are documented in the available materials, his sustained publication record in reputable venues demonstrates scholarly recognition. Dr. Dougherty actively mentors students as evidenced by frequent co-authorship with junior researchers on complex computational projects. His research methodology combines advanced mathematical techniques with domain-specific knowledge, creating bridges between theoretical computation and practical applications in healthcare, neuroscience, and environmental management.

Suvranu Deمشاهده پروفایل

استاد

• Multiscale Modeling
• Soft Tissue Mechanics
• Scientific Quantum Computing
• +۵ مورد دیگر

Suvranu De serves as the Google Endowed Dean of the FAMU-FSU College of Engineering and a Professor of Mechanical Engineering. Previously, he held the J. Erik Jonsson Distinguished Professorship and chaired the Department of Mechanical, Aerospace, and Nuclear Engineering at Rensselaer Polytechnic Institute. He earned a B.E. from Jadavpur University (1993), M.E. from the Indian Institute of Science (1995), and Sc.D. from MIT (2001), all in mechanical engineering. His research focuses on Multiscale modeling Soft tissue mechanics Scientific quantum computing Virtual reality in healthcare Noninvasive neuroimaging AI-driven surgical training Key achievements include the 2022 Edwin F. Church Medal for academic leadership, Test-of-Time Award (2024), and J. Tinsley Oden Medal (2019). He leads editorial roles in journals like Frontiers of Neuroergonomics and chairs committees for the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES). Notable contributions include developing VR-based surgical simulators, neuroimaging tools for skill assessment, and quantum computing algorithms for engineering problems. His work bridges computational mechanics, healthcare innovation, and AI.

Adrian Munteanمشاهده پروفایل

استاد

• Multiscale mathematical analysis
• Partial differential equations
• Asymptotic methods
• +۴ مورد دیگر

Adrian Muntean is a full Professor of Mathematics at Karlstad University, Sweden, specializing in mathematical modeling with a focus on multiscale analysis, partial differential equations, and applications in materials science and crowd dynamics. He holds editorial roles in journals such as Applied Mathematics in Science and Engineering and ROMAI Journal . His research integrates asymptotic methods, homogenization theory, and interacting particle systems to address challenges in civil engineering, logistics, and soft matter physics. Education: MSc from Babeș-Bolyai University (1999), Dr. rer. nat. from Universität Bremen (2006), Habilitation (2011). Prior roles include Assistant Professor at Eindhoven University of Technology (2007–2015). He has held visiting positions at University of Rome La Sapienza, Gran Sasso Science Institute, and University of Milan. Research interests include: Multiscale modeling of materials (concrete, steel) and their defect-induced behaviors Crowd dynamics and pedestrian flow simulations Asymptotic analysis of PDEs Measure-valued evolution equations Teaching: Courses on Fundamental Analysis, Multiscale Analysis (Homogenization), and Partial Differential Equations. Leads the Master Program in Industrial and Computational Mathematics at Karlstad University. Collaborations: Active projects with institutions like Gran Sasso Science Institute (Italy), Kanazawa University (Japan), and the Centre for Societal Risk Research (Karlstad University). Labs/Teams: Involved in interdisciplinary teams addressing energy systems, industrial mathematics applications, and morphology formation in materials.

• Vascular Mechanobiology
• Computational Biomechanics
• Arterial Flow Modelling
• +۳ مورد دیگر

Dr. Alberto Coccarelli is a Senior Lecturer in Mechanical Engineering at Swansea University's Faculty of Science and Engineering, School of Aerospace, Civil, Electrical and Mechanical Engineering. He maintains an active research program at the intersection of vascular mechanobiology and computational medicine, with laboratory facilities at the Bay Campus Engineering North building. His research focuses on: Computational modeling of arterial blood flow dynamics Multiphysics and multiscale tissue simulations Bio-heat transfer mechanisms in physiological systems Vascular mechanobiology and hemodynamic analysis In silico medicine approaches for clinical applications His recent publications (2021-2025) demonstrate strong focus on: Cerebral hemodynamics and vascular tone regulation Novel computational frameworks for blood flow quantification Machine learning applications in biophysical systems Microvascular function assessment techniques Pathogen transmission modeling Current PhD supervision includes: Computational modelling of haemodynamic forces across cerebral vasculature Embodied AI algorithms with advanced spatial understanding Optimal design for inverse problems in biomedical engineering He teaches undergraduate and postgraduate modules including Thermodynamics, Heat Transfer, Thermofluids, and Mechanical Engineering Practice.

Yuntian Fengمشاهده پروفایل

استاد

• Computational Mechanics
• Discrete Element Methods
• Fluid-Solid Interaction
• +۴ مورد دیگر

Professor Yuntian Feng is a Personal Chair in Civil Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. His research focuses on computational mechanics, discrete element methods, fluid-solid interaction, and high-performance computing. He leads the Discontinuum Mechanics for Engineering Disasters (DMED) group and is a co-editor of Discrete Element Methods & Numerical Modelling. He holds prestigious fellowships including the Plumer Visiting Fellowship and Leverhulme Research Fellowship. His research interests encompass finite/discrete element methods, stochastic modeling of engineering systems, and computational biomechanics. Key contributions include energy-conserving contact models for non-spherical particles and data-driven approaches for granular material simulation. Recent work emphasizes machine learning integration with computational models, particularly in granular materials and multiscale analysis. He has supervised PhD students in areas like high-performance boundary element methods and machine learning-based constitutive modeling. Affiliations: DMED Group, Swansea University Fellowships: Plumer (2009), Leverhulme (2007-2009), Sandia Lab (2003) Teaching: Structural Mechanics III, MSc Dissertations in Civil/Structural Engineering Publications span high-impact journals like Computer Methods in Applied Mechanics and Engineering, addressing topics from contact mechanics to fracture modeling. His work bridges computational methods with real-world applications in geomechanics and biomedical engineering.

Xi Zouمشاهده پروفایل

مدرس

• Finite element methods
• Mesh generation
• Reduced order modelling
• +۳ مورد دیگر

Dr. Xi Zou is a Lecturer in Aerospace Engineering at Swansea University since May 2023. He holds a PhD from the University of Pavia and Polytechnical University of Catalonia via the Erasmus Mundus Joint Doctorate fellowship. Previously, he worked as a postdoctoral researcher at the University of Nottingham and a Stress Engineer at Airbus China. His expertise includes finite element methods, mesh generation, reduced order modelling, and composite structures analysis. Education: BSc in Spacecraft Design (Beihang University), MSc in Mechanics (Beihang University), PhD in Engineering (Erasmus Mundus Joint Doctorate) His research focuses on advancing numerical methods for structural analysis, particularly in composite materials and airframe structures. Recent work includes developing NURBS-enhanced finite element meshes and efficient damage hotspot identification tools. He has published widely in journals like Computer-Aided Design and International Journal for Numerical Methods in Engineering. Dr. Zou has supervised MSc projects exploring expandable space modules using origami principles. He actively collaborates with industry and teaches modules such as Engineering Mathematics and Finite Element Analysis.

• Finite Element Technology
• Computational Fluid-Structure Interaction
• Structural Finite Elements
• +۸ مورد دیگر

Professor Wulf Dettmer is affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering at Swansea University. He specializes in Finite Element Technology , Computational Fluid-Structure Interaction (FSI) , and Morphing Aircraft research. His work spans disciplines including: Fluid-Structure Interaction Structural Dynamics Renewable Energy Systems Multi-Scale Modeling Key research trends include: Advanced time integration schemes for dynamic problems Machine learning applications in material modeling Cryogenic hydrogen energy systems Partitioned FSI solvers Flexible structures for energy harvesting Professor Dettmer has supervised numerous PhD and EngD projects in collaboration with Prof Djordje Peric and other colleagues, focusing on topics like neural network-based finite element frameworks and multi-scale composite analysis.

• Computational Micromagnetics
• Spintronics
• Magnetic Skyrmion Dynamics
• +۳ مورد دیگر

Prof. Gino Hrkac is affiliated with the Institut für Analysis und Scientific Computing at TU Wien. His research focuses on computational micromagnetics, spintronics, and numerical methods for materials science. He leads projects simulating magnetic skyrmion dynamics and spintronic devices using advanced finite element methods. Collaborations include work on chiral magnetic systems and spin diffusion models. Main affiliation: TU Wien (E101 institute) Key research areas: Numerical magnetism, spin wave dynamics, topological materials His work emphasizes developing convergent numerical integrators for micromagnetic simulations. Recent studies address skyrmion stabilization under spin torques and thermal effects. He co-authored over 25 publications since 2012, focusing on computational frameworks like Commics for micromagnetic modeling.

Karl Hollausمشاهده پروفایل

پژوهشگر

• Computational Electromagnetics
• Multiscale Finite Element Methods
• Eddy Current Problems
• +۳ مورد دیگر

Prof. Karl Hollaus is a researcher at TU Wien's Computational Mathematics in Engineering Research Group within the Faculty of Mathematics and Geoinformation . His work focuses on computational electromagnetics , multiscale finite element methods (MSFEM) , and eddy current problem simulations . He leads projects such as Effektive Materialtransformation für ferromagnetische Bleche and Magnetik für Filter , addressing challenges in laminated iron cores and magnetic materials. His research emphasizes high-performance computational techniques for engineering applications, including nonlinear systems and material modeling. Key research interests include domain decomposition methods , vector hysteresis modeling , and effective interface conditions . He has developed innovative approaches for simulating eddy current losses, magnetic flux routing in electrical machines, and ventilation panel thermal behavior using multiscale FEM. Collaborators include Markus Schöbinger and Valentin Hanser, with whom he co-authored numerous conference papers and journal articles. Education: Dipl.-Ing. (Master's) and Dr.techn. (PhD) in engineering. Awards: None explicitly listed. Recent publications (2022–2023) highlight advancements in harmonic balance methods combined with model order reduction for nonlinear systems, magnetic microwire materials for flux guidance, and effective material modeling for laminated cores. His work bridges theoretical computational mathematics with practical engineering solutions, particularly in electromechanical systems and metamaterials. Advising: Supervised PhD candidates Valentin Hanser (2021 thesis on eddy current computations) and Markus Schöbinger (multiple co-authored presentations). Active in TU Wien's Network Lab and contributes to the Scientific Computing and Modelling Research Division .

Nikolaos Rekatsinasمشاهده پروفایل

مدرس

• Numerical methods for PDEs
• Adaptive approximation
• Multiscale methods

Nikolaos Rekatsinas is a Lecturer at the University of Crete's B.Sc. Mathematics program and serves as Principal Investigator of the 'Adaptive methods for solving PDEs (Adaptsol)' project at the Institute of Applied & Computational Mathematics (IACM), Foundation for Research and Technology (FORTH). His research focuses on numerical methods for partial differential equations (PDEs), adaptive approximation, and multiscale methods. Education: Ph.D. in Mathematics from the University of Amsterdam (2018), M.Sc. in Applied Mathematical Sciences from Heriot-Watt University (2013), and B.Sc. in Mathematics from the University of the Aegean (2012). Research Projects: His work includes developing optimal adaptive wavelet methods and certification techniques for physics-informed neural networks (PINNs). He collaborates with institutions like Ulm University and Uppsala University on PDE solution certification and transport-based optimal control. Teaching: Current courses include 'Numerical Linear Algebra' at the University of Crete. Past teaching spans numerical methods for ODEs/PDEs, discrete mathematics, and numerical algorithms at the University of Patras and University of Amsterdam. Funding: Supported by the Hellenic Foundation for Research Innovation (HFRI) under the '2nd Call for H.F.R.I. Research Projects to Support Post-Doctoral Researchers' (Project No. 01247).

• Computational Mechanics
• Continuum Mechanics
• Constitutive Modeling
• +۱۲ مورد دیگر

Prof. Dr.-Ing. habil. Jörg Schröder is a full Professor of Mechanics at the University of Duisburg-Essen, Faculty of Engineering, Department of Civil Engineering, and leads the Institute of Mechanics. He has held significant leadership roles, including Vice-Rector for Research and Knowledge Transfer, and is currently Vice-President (2023–2025) and former President (2020–2022) of the International Association of Applied Mathematics and Mechanics (GAMM). He is a member of acatech and the Academy of Sciences and Literature, Mainz. PhD and Habilitation, Universität Stuttgart Professor since 2001, University of Duisburg-Essen Spokesperson, DFG Priority Programme 1748 and Research Unit 1509 Editor-in-Chief, Archive of Applied Mechanics His research centers on computational and continuum mechanics, with a focus on constitutive modeling, finite element methods, and multiscale simulations of materials such as dual-phase steels, high-performance concrete, and magneto-mechanical systems. He employs advanced numerical techniques including mixed and hybrid finite elements, phase-field modeling, and least-squares formulations. His work spans theoretical development and practical applications in manufacturing, civil engineering, and material science. The recent publications demonstrate a strong emphasis on multi-physics problems, including thermo-elastoplastic analysis in laser welding, micromagnetic simulations, sea ice dynamics, and fracture modeling in fiber-reinforced concrete. There is a clear trend toward high-fidelity, multi-scale simulations integrating microstructural details with macroscopic behavior, often using phase-field and reduced-order modeling approaches. Notable scientific recognitions include: Member of the Senate of the German Science Foundation (DFG) Selection Committee, Alexander von Humboldt Foundation Member of acatech and the Academy of Sciences and Literature, Mainz Leadership roles in GAMM Prof. Schröder leads major research initiatives funded by the DFG, serves on editorial boards of leading journals, and collaborates extensively with national and international researchers. He advises numerous doctoral candidates and postdoctoral researchers, though specific student names are not listed in the source text. His team conducts research in areas such as computational inelasticity, multiscale modeling, and simulation of coupled physical phenomena.

Ondřej Rokošمشاهده پروفایل

استادیار

• Computational Mechanics
• Materials Engineering
• Multiscale Modeling
• +۴ مورد دیگر

Ondřej Rokoš is an Assistant Professor in the Mechanics of Materials section at Eindhoven University of Technology's Department of Mechanical Engineering. He obtained his PhD in Civil Engineering from Czech Technical University in Prague (2014) and joined TU/e as faculty in 2020 after postdoctoral positions at CTU, TU/e, and University of Luxembourg. His research focuses on multiscale phenomena in materials engineering, particularly computational homogenization techniques for metamaterials. Research Interests: Rokoš specializes in computational methods for bridging scale-dependent material behaviors, including: Mathematical modeling of microstructure-property relationships Homogenization techniques for metamaterials and inelastic materials Quasicontinuum methods and molecular statics simulations Experimental-computational approaches using digital image correlation Stochastic modeling of structural dynamics His work aims to enable optimal material design through fundamental understanding of cross-scale physical phenomena. Publication Trends: Rokoš's 52+ publications show evolving focus from fundamental homogenization methods (2016-2019) toward machine learning applications in materials design (2020-2025). Recent work integrates graph neural networks, reduced-order modeling, and experimental mechanics for programmable metamaterials. Key domains include mechanical metamaterials (67% of works), computational homogenization (47%), and multiscale engineering (45%). Teaching & Service: Courses taught include: Solid Mechanics (since 2013) Machine Learning for Multi-Physics Modelling (since 2020) Computer Aided Engineering (since 2013) He leads Group Rokos and collaborates internationally on metamaterials research. Media frequently cites his work on micromechanical parameter identification techniques.