جست‌وجوی استاد و پژوهشگر

• Mechanics of Materials
• Computational Mechanics
• Fatigue and Fracture Mechanics
• +۷ مورد دیگر

Dr. Xiaosheng Gao is a Professor and Associate Chair for Graduate Programs in the Department of Mechanical Engineering at the University of Akron's College of Engineering and Polymer Science. He joined UA in 2001, with prior roles including Assistant Professor at Northwestern Polytechnical University (China), visiting positions at the Royal Institute of Technology (Sweden) and the National University of Singapore, and a Summer Faculty Fellowship at the Office of Naval Research. His research focuses on mechanics of materials, computational modeling, fracture mechanics, and multi-scale material behavior. Education: Ph.D. (2008, Brown University), M.S. (2005, Brown University), M.S. (1990, Xi'an Jiaotong University), B.S. (1987, Xi'an Jiaotong University). Research interests include constitutive modeling of advanced materials, fatigue and fracture mechanics, micromechanics, and corrosion damage analysis. Recent studies emphasize hydrogen embrittlement, composite material behavior, and environmental effects on material degradation. His work integrates experimental and computational methods, with applications in aerospace, naval, and structural engineering. Key awards include the American Society of Mechanical Engineers Fellowship and the Office of Naval Research Young Investigator Award. His contributions span over 50 peer-reviewed articles, focusing on material failure mechanisms, corrosion, and multi-scale modeling. Courses taught include Dynamics, Finite Element Analysis, and Continuum Mechanics.

Tianbai Xiaoمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Applied Mathematics
• Kinetic Theory
• +۷ مورد دیگر

Tianbai Xiao is a Researcher at the Karlsruhe Institute of Technology (KIT) within the Department of Mathematics and Steinbuch Centre for Computing. His work spans mesoscopic science , uncertainty quantification , and scientific machine learning , focusing on multi-scale, multi-physics problems in flow transport. His research in kinetic theory addresses nonlinear partial differential equations, hyperbolic conservation laws, and the unified modeling of continuum/rarefied flows. He develops high-performance numerical algorithms like the Unified Gas-Kinetic Scheme (UGKS) and Kinetic.jl (a finite volume toolbox for scientific computing). Current projects include mesoscopic science , stochastic data science , and physics-informed neural networks . He contributes to open-source tools including FluxReconstruction.jl for advection-diffusion methods and Langevin.jl for stochastic kinetic modeling. Publications cover Journal of Computational Physics , Engineering Fracture Mechanics , and Entropy , with preprints on arXiv in 2025 addressing force-driven flows and hybrid peridynamics. Teaching activities include the Introduction to Kinetic Theory lecture at KIT, and mentoring in the CAMMP (Computational and Mathematical Modeling Program) to develop problem-solving skills through real-world modeling tasks. He advocates for problem-based learning where students translate non-mathematical problems into mathematical language.

Michael J. Taylorمشاهده پروفایل

دانشیار

• Computational Solid Mechanics
• Finite Elasticity
• Metamaterials
• +۵ مورد دیگر

Michael J. Taylor is an Associate Professor of Mechanical Engineering at Santa Clara University's School of Engineering , where he has been affiliated since 2015. Chair of Mechanical Engineering (2021-present) Faculty Director of da Vinci RLC (2024-present) Co-director, WAVE HPC Center (2021-2022) His research spans computational solid mechanics , auxetic metamaterials, thin film mechanics, and peridynamics. Notable work includes modeling wrinkling in anisotropic sheets, rupture in biomembranes, and development of GPU-accelerated software for structural analysis. Recent projects focus on stress concentration reduction in metallic auxetic structures and fracture dynamics in thin films. Pioneered VOACH method for acoustic vowel analysis Developed 2D peridynamic plate theory Collaborated with Rolls-Royce Energy and Multiscale Systems He teaches courses in mechanical vibrations , finite element methods, continuum mechanics, and computational mathematics. His publications (2006-present) demonstrate expertise in elastic deformations, GPU computing, and biomembrane mechanics.

Erkan Oterkusمشاهده پروفایل

استاد

• Peridynamics
• Structural Health Monitoring
• inverse Finite Element Method (iFEM)
• +۳۶ مورد دیگر

Prof. Erkan Oterkus serves as Professor and Director of both the PeriDynamics Research Centre (PDRC) and Ocean Energy Research Unit (OERU) within the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde. Previously a researcher at NASA Langley Research Center, he holds a PhD from the University of Arizona and maintains active supervision of PhD students while leading internationally recognized research initiatives in computational mechanics. Academic Background PhD, University of Arizona (USA) Research Focus His pioneering work centers on peridynamics and inverse Finite Element Method (iFEM) for computational mechanics of materials and structures. Key research thrusts include multiscale modeling of stress corrosion cracking, underwater shock response of marine composites, failure analysis of electronic packages, ship collision/grounding dynamics, and real-time structural monitoring. His methodology integrates artificial intelligence, multi-physics analysis, and high-performance computing to solve extreme loading scenarios in marine, aerospace, and energy systems. Recent publications demonstrate strong trends in applying peridynamics to ice-structure interactions and corrosion damage monitoring, reflecting urgent industry needs for predictive structural integrity assessment. Honors & Recognition Outstanding Graduate Student in Aerospace Engineering (2010) Research Leadership Prof. Oterkus has secured 41 major projects totaling £12.7M in funding from entities including the European Union, U.S. Air Force Research Laboratory, DSTL, Samsung Electronics, Lloyd's Register, and ORE Catapult. His 264 research outputs include the seminal book on peridynamics and editorial leadership as Editor-in-Chief of Sustainable Marine Structures. He actively supervises 16 graduate students while directing two research centers that bridge academia-industry gaps in marine renewable energy and structural health monitoring systems. Research Infrastructure He leads the PeriDynamics Research Centre (PDRC) and Ocean Energy Research Unit (OERU), which operate advanced computational laboratories for multi-scale fracture simulation, structural health monitoring validation, and marine renewable energy device testing. These facilities support collaborative projects with Ferguson Marine, Babcock, and QinetiQ on pipe stress analysis and gas phase ventilation systems.

Yasser Safaمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Multiphysics Modeling
• Solid Mechanics
• +۷ مورد دیگر

Dr. Yasser Safa is a Researcher at the Institute of Computational Physics (ICP) within the School of Engineering at Zurich University of Applied Sciences (ZHAW), leading the Multiphysics Modeling and Imaging research group. His work focuses on advanced computational techniques for solving complex engineering problems across energy systems, materials science, and mechanical design. His educational background includes a PhD from École polytechnique fédérale de Lausanne (EPFL) in 2005, where his thesis addressed numerical simulations of thermo-magneto-hydrodynamic phenomena in aluminum reduction cells. This foundation in coupled physics has driven his subsequent research in multiphysics modeling. Dr. Safa's research spans computational mechanics, solid mechanics (particularly nonlinear elasticity and buckling), corrosion engineering, additive manufacturing, metamaterials, and energy systems including fuel cells and wind power. His methodology emphasizes developing validated numerical models for real-world engineering challenges, often involving thin-film mechanics, material degradation, and structural integrity under extreme conditions. Recent work demonstrates increasing focus on renewable energy systems and advanced manufacturing processes. Analysis of his 15 most recent publications reveals strong thematic continuity in computational mechanics applied to energy and materials, with growing emphasis on wind energy systems and corrosion phenomena. His work consistently bridges theoretical mechanics with industrial applications, particularly in micro-fabrication and energy conversion technologies. He has secured and led multiple research projects including ongoing work on corrosion of multiphasic alloys and completed projects on airborne wind power systems, metamaterial wave guides, and additive manufacturing. These projects demonstrate his ability to translate computational expertise into practical engineering solutions across diverse domains. As part of ZHAW's ICP research group, Dr. Safa contributes to developing advanced computational tools for imaging and modeling physical systems, maintaining strong industry connections particularly in energy technology sectors. His current work continues to address critical challenges in material durability and energy system design through sophisticated numerical approaches.

Marcus Müllerمشاهده پروفایل

استاد

• Polymer Physics
• Soft Matter Physics
• Biophysics
• +۳ مورد دیگر

Prof. Marcus Müller is a Professor of Theoretical Physics at the University of Göttingen's Faculty of Physics, Department of Theoretical Physics. His research employs advanced computational methods to investigate fundamental phenomena in polymer systems, soft matter, and biological membranes, with significant contributions to understanding non-equilibrium dynamics and self-assembly processes. His research portfolio spans: Polymer Physics : Dynamics of polymer melts, block copolymer self-assembly, and phase separation mechanisms Soft Matter Physics : Active matter systems, membrane biophysics, and dissipative structures Computational Physics : Development of specialized simulation techniques including peridynamic-enhanced Fourier spectral methods and slip-spring models Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on the interplay between processing conditions and nanostructure formation in block copolymers, with expanding applications to battery electrolytes and biological systems. Key trends include the investigation of non-equilibrium pathways in spinodal decomposition, membrane fission/fusion mechanisms, and reaction-driven organization in active liquids, demonstrating strong integration of theoretical modeling with experimental validation. No scientific awards were documented in the available source material. While specific advising relationships and grant details were not provided, his extensive publication record suggests active mentorship of graduate students in computational soft matter physics. The research direction indicates ongoing investigation of fundamental transport phenomena in polymeric systems with applications to energy storage and cellular biophysics. His work appears conducted within computational research groups at the Department of Theoretical Physics, focusing on molecular simulations and theoretical modeling of complex soft matter systems, with particular emphasis on membrane dynamics and polymer self-assembly under non-equilibrium conditions.

Paul Martinمشاهده پروفایل

استاد

• Wave Scattering
• Diffraction
• Anisotropic Media
• +۳ مورد دیگر

Paul Martin is a Professor in the Department of Applied Mathematics and Statistics at the Colorado School of Mines. He holds editorial roles in journals including the SIAM Journal on Applied Mathematics and the Quarterly Journal of Mechanics and Applied Mathematics . His research focuses on wave scattering, diffraction, fracture mechanics, and integral equations, with notable contributions to acoustic and elastic wave phenomena. Martin authored influential books such as Time-Domain Scattering (2021) and Multiple Scattering (2006). He obtained his B.Sc. from the University of Bristol, followed by an M.Sc. and Ph.D. from the University of Manchester, specializing in fluid mechanics and applied mathematics. His research explores wave behavior in complex media, including anisotropic and inhomogeneous materials, with applications to engineering and physics. Recent work addresses topics like peridynamic acoustics and T-matrix methods in thermo-visco-elastic scattering. Martin’s editorial activities reflect his leadership in applied mathematics and mechanics, promoting rigorous peer-reviewed scholarship.

• Computer Animation
• Evolutionary Algorithms
• Computational Science
• +۳ مورد دیگر

Ari Sarafopoulos is a Senior Lecturer at Bournemouth University, specializing in computer animation and evolutionary computation. His work bridges computational methods with artistic applications, focusing on iterated function systems (IFS) and material simulation. Key research areas include evolutionary algorithms, fractal modeling, and computational design. Recent publications address material point methods for elastoplastic simulation and procedural shape generation. He has presented work at major conferences including ACM SIGGRAPH and IEEE Congress on Evolutionary Computation.

Marta D'Eliaمشاهده پروفایل

استاد مدعو

• Scientific Machine Learning
• Nonlocal Modeling
• Fractional Calculus
• +۴ مورد دیگر

Marta D'Elia is an Adjunct Professor at Stanford's Institute for Computational and Mathematical Engineering (ICME), specializing in Scientific Machine Learning and nonlocal modeling. Her research develops data-driven algorithms for multiscale/multiphysics simulations, integrating numerical analysis, uncertainty quantification, and fractional calculus. Core applications include subsurface transport, turbulence modeling, image processing, and materials science. She leads innovations in nonlocal operator regression, physics-informed neural networks, and fractional Laplacian formulations. Current work focuses on embedded machine learning for constitutive modeling, Bayesian uncertainty frameworks, and computational homogenization. D'Elia pioneered approaches for nonlocal-to-local model coupling and fractional Helmholtz decompositions, advancing simulation capabilities for anomalous transport phenomena. Her Ph.D. in Applied Mathematics (Emory University) underpins rigorous mathematical foundations, while collaborations with national labs address high-performance computing implementations. Research contributes to open-source scientific software and computational mathematics education through ICME courses on numerical methods and machine learning.

• Machine Learning
• Computer Vision
• Signal Processing
• +۳ مورد دیگر

Chenguang Liu is a researcher at Institut Polytechnique de Paris , France, with a focus on computational methods, machine learning, and control systems. His work bridges theoretical and applied research across multiple domains including computer vision, signal processing, and operations research. Key research areas: Machine Learning, Computer Vision, Computational Physics, Control Theory Notable publication trends: Develops novel algorithms for parallel computing, peridynamic modeling, and real-time systems Recent contributions include Bayesian neural networks for gas-bearing prediction, multi-agent reinforcement learning for UAV swarms, and domain adaptation techniques in object detection. He collaborates extensively with researchers in electrical engineering and applied mathematics disciplines.

Cevat Erdem İmrakمشاهده پروفایل

استاد

• Mechanical Engineering
• Materials Science
• Applied Mathematics
• +۳ مورد دیگر

Cevat Erdem İmrak is a Professor in the Department of Mechanical Engineering at Istanbul Technical University. His research focuses on advanced computational modeling of fracture mechanics and material behavior under extreme loads. Current affiliation: Istanbul Technical University, Department of Mechanical Engineering Research interests: Dynamic crack propagation, peridynamic theory, functionally graded materials, and marine engine diagnostics Recent work involves peridynamic modeling of wire rope failures and ice crevasses, with applications in offshore engineering and seismic elevator design. He leads high-impact projects like Hybrid Rocket Motor Design and Next-generation Plastic-filled Hybrid Steel Rope Design . His publications highlight interdisciplinary approaches combining mechanical engineering , materials science , and computational physics . Key collaborations include researchers from TTO, TUBITAK TEYDEB, and international institutions.

Tadele Mengeshaمشاهده پروفایل

استاد

• Partial Differential Equations
• Nonlocal Models
• Calculus of Variations
• +۵ مورد دیگر

Tadele Mengesha is a Professor of Mathematics at the University of Tennessee, Knoxville (UTK), within the Department of Mathematics, College of Arts and Sciences. He earned his Ph.D. in Mathematics from Temple University in 2007, under the supervision of Prof. Yury Grabovsky. Prior to joining UTK in 2014, he held positions as an Assistant Professor at Coastal Carolina University, a postdoctoral researcher at Louisiana State University (working with Prof. Robert Lipton), and at Penn State University (working with Prof. Qiang Du). His research focuses on applied mathematics, particularly the analysis of solutions to partial differential and integral equations arising in modeling scientific phenomena. Key areas include nonlocal models (e.g., peridynamics), regularity theory of solutions, asymptotic analysis, homogenization, and calculus of variations. He has contributed to topics such as diffuse domain approximations, gamma-convergence, and fractional Korn’s inequalities. Mengesha’s work bridges theoretical analysis with applications in mechanics and materials science. His recent publications emphasize nonlocal systems, optimal design problems, and compactness results in nonlocal function spaces. He actively contributes to academic events, including proceedings from the 50th John H. Barrett Memorial Lectures on nonlocal models.

Abner J. Salgadoمشاهده پروفایل

استاد

• Numerical Analysis
• Partial Differential Equations
• Computational Mathematics
• +۵ مورد دیگر

Abner J. Salgado is a Professor in the Department of Mathematics at the University of Tennessee, Knoxville. His research focuses on the numerical analysis of partial differential equations (PDEs), with particular emphasis on nonlocal problems, degenerate/singular diffusion, complex fluids, and nonlinear PDEs. He is dedicated to the design, analysis, and implementation of approximation schemes for these models, including finite element methods and other numerical techniques. Education: Ph.D. in Mathematics from Texas A&M University. Research interests include computational mathematics, numerical analysis of PDEs, and their applications in fluid dynamics and materials science. His work addresses challenges such as singular forcing terms, nonlocal operators (e.g., fractional Laplacian), and multiphase flow problems. Recent trends in his publications highlight advancements in nonlocal models, fractional diffusion, and optimal control of PDEs, with a focus on theoretical rigor and computational efficiency. Labs/Teams: While specific lab affiliations are not explicitly mentioned, his research collaborations involve advanced numerical methods and interdisciplinary applications in fluid dynamics and continuum mechanics.

• Mathematics
• Optimal Control
• Number Theory
• +۴ مورد دیگر

Joshua Siktar is a Visiting Assistant Professor at Texas A&M University’s College of Arts & Sciences. His research focuses on optimal control theory, number theory, and numerical analysis, with a particular emphasis on nonlocal equations, composite numbers in arithmetic progressions, and Fibonacci compositions. He contributes to both theoretical and applied mathematics, addressing problems in peridynamics modeling, fractional optimal control, and combinatorial configurations. His work spans topics such as asymptotic compatibility in optimal design problems, Lavrentiev gap phenomena in finite element methods, and Zeckendorf’s theorem applications. He has explored central limit theorems for lattice paths and combinatorial enumeration, often integrating analytical techniques with computational methods. Siktar’s articles reflect a diverse yet cohesive research agenda, balancing foundational mathematics with interdisciplinary applications. He frequently publishes in peer-reviewed journals and maintains a website showcasing his work at people.tamu.edu .

Jifu Tanمشاهده پروفایل

استادیار

• Fluid-Structure Interaction
• High-Performance Computing
• Multiscale/Multiphysics Modeling
• +۶ مورد دیگر

Jifu Tan is an Assistant Professor in the Department of Mechanical Engineering at Binghamton University. Previously, he served as an Assistant Professor and later Associate Professor at Northern Illinois University (NIU), and completed a postdoctoral fellowship at the University of Pennsylvania. His research focuses on fluid-structure interaction, high-performance computing, multiscale modeling, and machine learning applications in engineering and medicine. He holds a BS in Civil Engineering from Beijing Jiaotong University and MS/PhD in Mechanical Engineering from Lehigh University. Notable recognitions include the 2024 David W. Raymond Award for Teaching Technology Innovation and the 2024 NSF CAREER Award. His research interests span computational fluid dynamics, microfluidic device design for cell separation, blood flow modeling, and thrombosis simulation. He develops open-source codes for multiphysics simulations and has pioneered parallel fluid-structure interaction models for nanoparticle transport and cellular suspensions. His work integrates physics-based machine learning and data-driven models to address challenges in healthcare and engineering. Recent contributions include studies on granular flow dynamics in conveyor systems, biomimetic fish locomotion analysis, and predictive modeling of disease transmission using dynamic mode decomposition. He collaborates with Argonne National Laboratory on multiphysics research and actively mentors students in computational and experimental projects. Scientific achievements include advancements in microfluidic sorting techniques, nanoparticle delivery systems, and computational tools for in situ visualization of blood flow simulations. His lab focuses on translating multiscale simulations into practical applications for drug delivery, medical diagnostics, and sustainable engineering solutions.