جست‌وجوی استاد و پژوهشگر

• Vibrations
• Nonlinear dynamics
• Stochastic systems
• +۳ مورد دیگر

Thomas Breunung is a Researcher and Principal Investigator of the Dynamics, Structures, and Data (DSD) Lab at the University of Wisconsin-Madison's Department of Mechanical Engineering. His work integrates applied mathematics, physics, and data science to study nonlinear structural dynamics, vibrations, and stochastic systems, with applications in aerospace engineering, biological systems, and oceanography. He holds a PhD from ETH Zurich (2021), an MS and BS from Technische Universität Darmstadt (2016, 2013). His research focuses on analytical, computational, and experimental methods to understand complex dynamic systems, including vibration attenuation, rogue wave prediction, and nonlinear oscillator identification. Notable awards include the 2023 ASME Outstanding Reviewer Award and the 2020 USNC/TAM Fellowship. Current courses taught include E M A 545 (Mechanical Vibrations) and M E 440 (Intermediate Vibrations). The DSD Lab emphasizes interdisciplinary collaboration, combining theoretical rigor with practical engineering solutions. Breunung's recent work explores data-driven forecasting of extreme events, stochastic noise utilization in vibration control, and robust system identification techniques. Ongoing projects include improving predictions of freak waves using field measurements and developing computationally efficient models for nonlinear mechanical systems.

Leif A. Carlssonمشاهده پروفایل

استاد

• Composite Materials
• Sandwich Structures
• Solid Mechanics
• +۴ مورد دیگر

Leif A. Carlsson is the J.M. Rubin Foundation Professor in the Department of Ocean and Mechanical Engineering at Florida Atlantic University. His research focuses on composite materials, sandwich structures, solid mechanics, and finite element analysis. He holds a Ph.D. from Chalmers University of Technology. His work emphasizes fracture mechanics in composite materials, moisture effects on polymers, and structural integrity of aerospace and marine composites. Key research areas include honeycomb core mechanics, face/core interface fracture, and environmental degradation of materials. Recent studies explore water diffusion in polymers, thermal effects on composites, and failure modes under various loading conditions. His contributions span over 50 peer-reviewed articles since 2009, with a focus on advancing composite material design and durability. Notable projects include the analysis of single-face honeycomb sandwich structures (2025), geometrical imperfection sensitivity in honeycomb cores (2023), and low-temperature fracture characterization of foam cores (2020). His work bridges experimental testing and computational modeling to address real-world challenges in aerospace and marine engineering applications.

• Applied Mathematics
• Numerical and Computational Mathematics
• Partial Differential Equations
• +۴ مورد دیگر

Prof. Vanessa Styles is a Professor and Head of the School of Mathematical and Physical Sciences at the University of Sussex. Her research focuses on mathematical and computational analysis of nonlinear partial differential equations, with applications in physical sciences, including materials science, fluid dynamics, and biological modeling. She specializes in numerical methods for evolving surfaces, phase field models, and free boundary problems. Her work often involves interdisciplinary collaborations, addressing challenges in lithium batteries, tumor growth, and cell migration. Prof. Styles has led major grants, including ModCompShock (EU) and Leverhulme-funded projects on cell migration mechanics. She teaches calculus courses and actively contributes to academic leadership. Her research interests span computational fluid dynamics, numerical analysis of PDEs, and mathematical biology. Recent work emphasizes tumor growth modeling via phase field approaches, crystal growth in batteries, and cell migration force estimation. She has published extensively in journals like Interfaces and Free Boundaries and Journal of Computational Physics , with a focus on rigorous error analysis and algorithm development. Grants include funding for modeling grain boundary motion (EPSRC), 3D cell migration (Leverhulme), and shock interface modeling (EU). Her research bridges theoretical analysis and practical applications, with contributions to both fundamental mathematics and engineering/medical fields.

• Electromagnetic Theory
• Applied Mathematics
• Numerical Methods
• +۳ مورد دیگر

Dario Bojanjac is an Assistant Professor at the Department of Wireless Communications, Faculty of Electrical Engineering and Computing, University of Zagreb. His research focuses on mathematical modeling of electromagnetic processes, numerical methods for Maxwell's equations, and applied mathematics techniques like asymptotic analysis. He holds a PhD in mathematics (2015) and electrical engineering (2009), with extensive visiting scholar experience at institutions such as École Polytechnique Fédérale de Lausanne (EPFL) and the University of Michigan. Education: PhD in Mathematics (2015), Faculty of Science, University of Zagreb PhD in Electrical Engineering (2009), Faculty of Electrical Engineering and Computing His research interests include electromagnetic wave scattering, homogenization of Maxwell's equations, and computational electromagnetism. Recent work explores ground-based SAR systems, deep learning applications in radar data analysis, and flood classification using multivariate approaches. He has received awards including the Swiss Government Excellence Scholarship and Croatian Government Fellowship. His projects include satellite electromagnetic field measurements and metamaterial-based invisibility cloak realization. He participates in lab initiatives like AOLAB2 and coordinates projects such as BODYSEN and HybridAccess. Awards: Swiss Government Excellence Scholarships CIME Foundation Fellowship European Science Foundation Fellowship Bojanjac has advised on multiple research projects and contributed to educational initiatives like the MILE interactive learning system. His lab collaborations include work on sensor systems and optical communication technologies.

Basca Jadambaمشاهده پروفایل

استاد

• Inverse Problems
• Continuous Optimization
• Partial Differential Equations
• +۳ مورد دیگر

Basca Jadamba is a Professor in the School of Mathematics and Statistics at the Rochester Institute of Technology (RIT), part of the College of Science. She serves as Associate Head of the Applied and Computational Mathematics program. Her research focuses on inverse problems, stochastic optimization, partial differential equations, numerical analysis, finite element methods, and mathematical modeling. She has advised undergraduate and graduate students in research and teaches courses at both levels. Jadamba holds a BS from the National University of Mongolia, an MS from the University of Kaiserslautern (Germany), and a Ph.D. from the University of Erlangen-Nuremberg (Germany). Her academic journey includes joining RIT’s School of Mathematics and Statistics in 2008. She is actively involved in academic leadership, including serving as the faculty advisor for RIT’s Student Chapter of the Association for Women in Mathematics. Her research contributions span theoretical and numerical methods for inverse problems, with applications in elasticity imaging and parameter identification in stochastic systems. She has co-authored books and peer-reviewed articles on topics such as uncertainty quantification in variational inequalities, optimization formulations for inverse problems, and numerical methods for partial differential equations. Jadamba’s work emphasizes bridging mathematical theory with practical applications, particularly in engineering and environmental science. Her recent publications highlight advancements in stochastic approximation methods, convex optimization frameworks, and the role of Inf-Sup conditions in inverse problems. She has explored applications ranging from tumor localization in elasticity imaging to congestion network analysis with random data. Her teaching portfolio includes courses like Multivariable Calculus, Mathematical Modeling, and Applied Inverse Problems, reflecting her expertise in both foundational and advanced mathematical topics.

• Crystal Plasticity
• Strain Gradient Plasticity
• Fluid-Structure Interaction
• +۴ مورد دیگر

İzzet Özdemir is an Associate Professor in the Department of Civil Engineering at Izmir Institute of Technology (IYTE). He holds a B.S. from Orta Doğu Teknik Üniversitesi, an M.S. from Universität Stuttgart, and a Ph.D. from Eindhoven University of Technology, all in Civil Engineering. His research focuses on advanced materials modeling, microscale mechanics, and fluid-structure interaction in biomedical and engineering applications. Key areas include crystal plasticity, strain gradient plasticity, and micromechanical modeling of size effects in materials processing. Education: B.S., Civil Engineering, Orta Doğu Teknik Üniversitesi M.S., Civil Engineering, Universität Stuttgart Ph.D., Civil Engineering, Eindhoven University of Technology Research emphasizes computational modeling of material behavior under extreme conditions, with recent work on magnetically driven micro-swimmers and fracture mechanics in polycrystalline systems. His publications span topics from microforming simulations to photocatalytic thin films. Publications reflect interdisciplinary strengths in mechanical engineering, materials science, and applied mathematics. Ongoing work explores bioinspired propulsion systems and nanoscale deformation mechanisms.

• Electromagnetics
• Signal Integrity
• High-Speed Interconnects
• +۵ مورد دیگر

Andreas C Cangellaris is a Professor at the University of Illinois at Urbana-Champaign, affiliated with the College of Engineering and the Department of Electrical and Computer Engineering. He leads research in the Coordinated Science Lab, focusing on electromagnetic modeling, signal integrity, and high-speed interconnects. His work spans nanotechnology, stochastic analysis, and machine learning applications in electromagnetics. Education details are not explicitly provided in the text, but his academic career includes significant contributions to computational electromagnetics, including the development of PEEC methods and neural network-based models for high-speed systems. Research interests emphasize modeling uncertainties in electromagnetic systems, metamaterials, and power delivery networks. He has pioneered techniques like the Stochastic Latency Insertion Method (LIM) and FFT-based macromodeling for stochastic systems. Key awards include the Humboldt Research Award (2004) and IEEE Fellow designation (2000). His grants and advising activities are not detailed here, but his lab focuses on advancing electromagnetic compatibility and high-speed link design. Notable collaborations involve stochastic modeling of fiber-weave effects in PCBs and inverse design methodologies using tandem neural networks.

S. Alireza Behnejadمشاهده پروفایل

دانشیار

• Design and Construction of Spatial Structures
• Formex Configuration Processing
• Structural Performance of Bamboo
• +۴ مورد دیگر

Dr. S. Alireza Behnejad is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Surrey, UK. He holds a PhD in Geometry of Spatial Structures (2018) and serves as Director of the Spatial Structures Research Centre founded in 1963. His roles include Programme Leader for Undergraduate Civil Engineering and member of the University Ethics Committee. Behnejad is Editor-in-Chief of the International Journal of Space Structures and a key member of the International Association for Shell and Spatial Structures (IASS), including organizing the 2020/21 virtual IASS conference. Behnejad’s research focuses on spatial structures, bamboo engineering, and pedagogical methods. Notable projects include the Bamboo For Sustainable Construction initiative (with global partners) and the DAD Project , promoting hands-on learning through physical models. He has been awarded the Vice-Chancellor's Teacher of the Year (2021) for enhancing student learning. His work bridges historical architectural forms (e.g., Iranian Karbandi vaults) with modern engineering challenges, emphasizing sustainability and education. Behnejad collaborates with institutions worldwide, including Brazil’s University of São Paulo and China’s Southwest Jiaotong University. He supervises postgraduate students on topics like spatial structure conceptual design and leads efforts to improve engineering education through full-scale physical models and international student exchanges.

• Multi-scale Mechanics
• Metamaterials
• Material Science
• +۳ مورد دیگر

Varvara G. Kouznetsova is an Associate Professor in Multi-scale Mechanics of Solids at the Department of Mechanical Engineering of Eindhoven University of Technology (TU/e). Her roles include leading the Mechanics of Materials group and teaching courses such as Advanced Computational Continuum Mechanics and Material Models. She holds a PhD in Mechanical Engineering from TU/e and a degree in Applied Mathematics from Perm State Technical University, Russia. Prior to her current position, she was a Research Fellow at NIMR and M2i institutes and an Assistant Professor at TU/e from 2006 to 2018. Her research focuses on developing multi-scale techniques for materials ranging from advanced steels to metamaterials, emphasizing emergent phenomena across scales. Key interests include computational homogenization, wave propagation, and fracture mechanics. She has supervised 54 academic works and contributed to 160+ research outputs, including influential studies on metamaterials and multiscale analysis. Her recent articles explore topics like reduced-order modeling for elastomeric metamaterials, multiscale FEM-MD coupling for nanocrystalline metals, and acoustic metamaterial transient analysis. She collaborates internationally and maintains datasets on platforms like 4TU.Centre for Research Data. Courses taught include Computer-Aided Engineering and Composite Materials Design.

Jichun Liمشاهده پروفایل

استاد

• Mathematical Modeling
• Scientific Computing
• Numerical Analysis
• +۴ مورد دیگر

Jichun Li is a Professor in the Department of Mathematical Sciences at the University of Nevada, Las Vegas. His research focuses on mathematical modeling, scientific computing, and numerical analysis with applications to electromagnetism and metamaterials. He specializes in developing advanced numerical methods like Finite Element Methods (FEM), Discontinuous Galerkin (DG), and Finite-Difference Time-Domain (FDTD) schemes for simulating wave propagation in complex media such as metamaterials and photonic crystals. Key research areas include metamaterials (e.g., hyperbolic metamaterials, cloaking devices), electromagnetic wave manipulation (e.g., surface plasmon polaritons on graphene), and computational techniques for solving Maxwell’s equations in dispersive and nonlinear media. His work addresses challenges like numerical stability, superconvergence analysis, and implementation of Perfectly Matched Layers (PML) for absorbing boundary conditions. Recent efforts involve integrating deep learning with numerical PDE methods for financial applications and advancing time-domain simulations for metamaterial cloaking and optical black holes. He has contributed to software tools like MATLAB-based edge element codes for metamaterial modeling. His research bridges theoretical analysis and practical simulation, with applications in photonics, quantum optics, and computational electromagnetics. Notable achievements include over 150 peer-reviewed articles, methodological innovations in numerical electromagnetics, and active participation in interdisciplinary collaborations at the Center for Applied Math & Statistics. His work emphasizes high-order methods and rigorous mathematical validation for engineering and scientific problems.

• Steel Structures
• Composite Materials
• Structural Stability
• +۲ مورد دیگر

Andreas Taras is a Full Professor at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, where he serves as Deputy Head of the Institute of Structural Engineering. His research focuses on steel and composite structures, structural stability, and fatigue behavior. Key research domains include: innovative steel-concrete-timber composite systems, stability and reliability of metallic structures, fatigue life prediction in bridges, and structural optimization using advanced analysis methods. His work integrates experimental testing with computational approaches to advance sustainable structural design. Recent investigations explore cutting-edge applications like iron-based shape memory alloys in structural glass systems, robotic additive joining for reclaimed steel, and novel hybrid systems combining folded sheet steel with cement-free concrete. Publications demonstrate consistent innovation in structural materials and connection technologies.

• Structural Engineering
• Steel Structures
• Civil Engineering Education
• +۳ مورد دیگر

Tim Wilkinson is a Professor and Associate Dean (Student Life) in the School of Civil Engineering at The University of Sydney. He holds academic qualifications including BSc, BE (Hons), MA, and PhD. His research focuses on structural steel behavior, particularly in connections and components of buildings and bridges, while also emphasizing improvements in engineering education and student outcomes. He has contributed to over 2000 students over 20 years, influencing their theoretical and practical foundations in civil engineering. Education: BSc BE (Hons) MA PhD Research Interests: Structural steel behavior under extreme loads Optimization of steel connections and components Advances in cold-formed steel sections Engineering education pedagogy and student success Recent Research Trends: His publications span structural mechanics, steel truss joints, and educational methodologies. Key themes include high-strength steel analysis, damage mechanics, and interdisciplinary curriculum design. Grants & Projects: ARC Linkage Project on structural systems with hollow flange sections (2004) Research into cold-formed steel behavior (2000-2005) Curriculum revisions at the University of Sydney (2005) Lab Affiliations: School of Civil Engineering Structures Laboratory Centre for Advanced Structural Engineering

• Computational Fluid Dynamics
• Numerical Analysis
• Partial Differential Equations
• +۳ مورد دیگر

Kenny Wiratama is a researcher at the Mathematical Sciences Institute of The Australian National University (ANU). His work focuses on numerical methods for partial differential equations, particularly in computational fluid dynamics and mathematical physics. He specializes in developing stable and accurate schemes for wave equations, Navier-Stokes equations, and related systems using discontinuous Galerkin spectral element methods. His research emphasizes energy stability analysis and weak boundary condition imposition, with applications in coastal engineering, turbulence modeling, and biomedical fluid dynamics. Recent work includes contributions to the linearized Serre equations and gauge formulations of incompressible flows. Publications span topics like higher-order wave equation discretization, SPH method evaluation in pulsating blood vessels, and spectral element method stability. No scientific awards are explicitly mentioned in the data provided. Research interests align closely with his affiliations in applied mathematics and computational science.

Göran Kauermannمشاهده پروفایل

استاد

• Nonparametric Models
• Semi- and nonparametric analysis
• Generalized Linear Models
• +۲ مورد دیگر

Prof. Dr. Göran Kauermann is a Full Professor of Statistics at the Ludwig-Maximilians-University Munich , holding the Chair of Applied Statistics in Social Sciences, Economics and Business . His research spans nonparametric models, generalized linear models, and network data analysis, with applications in economics, epidemiology, and data science. Education: Diplom in Economic Mathematics (1991, TU Berlin), PhD in Statistics (1994), Habilitation (Venia Legendi) in Statistics (2000) Kauermann’s research interests focus on penalized regression , network analysis , and statistical modeling in economics, social sciences, and public health. Recent work explores label uncertainty in machine learning , spatio-temporal conflict diffusion , and dynamic network models for economic and social data. Scientific trends in his publications include penalized splines for nonlinear modeling, network flow estimation in social and economic contexts, and label variation analysis in machine learning. His collaborations span climate zone classification , Covid-19 mortality modeling , and smart city parking analytics . Scientific Awards: Bruce Russett Award (2020) for political network research Leadership Roles: He served as Dean of the Faculty of Mathematics, Informatics and Statistics (2019–2021), Speaker of the Elite Master Program in Data Science (2016–2026), and Chair of the German Statistical Society (2005–2013). He also held editorial roles in journals like AStA Advances in Statistical Analysis and Statistical Modelling .

• Multiphase Flows
• Computational Fluid Dynamics
• Turbulence
• +۴ مورد دیگر

Dr. Lina Baroudi is an Associate Professor in Mechanical Engineering at Manhattan University. Her research focuses on multiphase flows, computational fluid dynamics, and turbulence, with applications in nuclear reactor thermal hydraulics and mesoscopic simulation techniques. She holds a Ph.D. from The City College of New York and a B.S. from Damascus University. Education: Ph.D., The City College of New York MPhil, The City College of New York M.S., The City College of New York B.S., Damascus University Her research interests include studying surface-tension-driven flows, particle-laden flows, and developing predictive models using advanced computational methods like Lattice Boltzmann (LB), Molecular Dynamics (MD), and parallel high-performance computing. She has contributed to understanding Taylor-Couette flow dynamics, bubble rising mechanics, and droplet coalescence phenomena. Dr. Baroudi has been awarded prestigious fellowships including the Nuclear Regulatory Commission Graduate Fellowship (2015-2016), MRSEC PREM Fellowship (2011-2015), and NSF Graduate Research Fellowship (2009-2010). Her work bridges fundamental fluid dynamics with industrial and nuclear engineering applications. She teaches courses such as Engineering Mathematics, Applied Heat Transfer, and Finite Element Analysis. Her lab focuses on multiphase flow modeling and high-performance computing, collaborating with ASME, APS, and other professional societies.