جست‌وجوی استاد و پژوهشگر

• Steel Structures
• Cold-formed Steel Structures
• Stainless-Steel Structures
• +۶ مورد دیگر

Hannah Blum serves as the Alain H. Peyrot Associate Professor in Structural Engineering within the Department of Civil and Environmental Engineering at the University of Wisconsin-Madison. Her research program focuses on infrastructure resilience, next-generation structural design methodologies, and advanced visualization techniques including extended reality applications, supported by funding from federal agencies, industry associations, and private companies. Her academic credentials include a PhD in Civil Engineering from the University of Sydney (2017), complemented by MS (2012) and BS (2010) degrees in Civil Engineering from Johns Hopkins University. Dr. Blum's research program spans critical domains in structural engineering with particular emphasis on steel systems. Key focus areas include: Steel, cold-formed steel, and stainless-steel structural systems Steel deck and joist system behavior Structural stability and reliability analysis Virtual and augmented reality applications in structural steel fabrication Data-driven approaches to structural engineering problems Analysis of her 15 most recent publications (2023-2025) reveals a concentrated research trajectory centered on data-driven design methodologies, advanced material systems (particularly stainless steel and high-strength alloys), and immersive technology integration. Notable trends include machine learning applications for buckling prediction, experimental validation of novel structural systems, and mixed-reality solutions for fabrication processes. Her distinguished recognition includes: University of Wisconsin-Madison Chancellor’s Teaching Innovation Award (2024) College of Engineering Harvey Spangler Award for Innovative Teaching (2023) American Institute of Steel Construction Terry Peshia Early Career Faculty Award (2023) Structural Stability Research Council McGuire Award for Junior Researchers (2022) Structural Stability Research Council Yoon Duk Kim Young Researcher Award (2021) Dr. Blum actively mentors graduate students through CIV ENGR 790 (Master's Research) and 890 (Pre-Dissertator's Research) courses while securing diverse research funding streams. Her professional service includes active participation in steel design standards committees for structural, cold-formed, and stainless-steel systems through organizations like the Structural Stability Research Council. Her experimental and computational research requires specialized facilities for structural testing and digital visualization, though specific laboratory names are not documented in the provided materials. Current projects demonstrate strong industry collaboration, particularly with steel manufacturing and construction technology firms.

• Multiscale Computational Engineering
• Materials Modeling
• Composite Materials
• +۸ مورد دیگر

Caglar Oskay is an Associate Professor in the Department of Civil and Environmental Engineering at Vanderbilt University, where he has held academic positions since 2006. He specializes in multiscale computational mechanics, materials modeling, and failure analysis of heterogeneous materials. His research integrates advanced numerical methods such as the Extended Finite Element Method (XFEM), reduced-order homogenization, and variational multiscale enrichment to study composite materials, viscoelastic systems, and polycrystalline structures under extreme conditions. Dr. Oskay has been recognized with awards including the Chancellor Faculty Fellow (2016–2018) and ASCE ExCEEd Fellow (2011). Education: PhD (Civil Engineering, Rensselaer Polytechnic Institute, 2003), M.S. (Civil Engineering, Rensselaer Polytechnic Institute, 2000), M.S. (Applied Mathematics, Rensselaer Polytechnic Institute, 2000), B.S. (Civil Engineering, Middle East Technical University, 1998). Research focuses on predictive computational models for material behavior under mechanical, thermal, and chemical loading. Key areas include fatigue life prediction, damage accumulation in composites, and coupled transport-deformation phenomena. Recent work addresses multiscale modeling of nickel-based superalloys, polyurea-coated composites, and energetic materials under dynamic loading. His contributions span 100+ peer-reviewed publications, including seminal studies in International Journal for Multiscale Computational Engineering and Acta Materialia . His articles emphasize multiscale frameworks for heterogeneous materials, with trends in reduced-order methods, uncertainty quantification, and interdisciplinary applications (e.g., biology, energy systems). Awards highlight his educational and technical leadership. Advising and grants include collaborative projects on composite durability and energetic material simulation. Dr. Oskay leads the Multiscale Computational Mechanics Lab (MCML), advancing computational tools for engineering materials research.

Long Chenمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Methods
• Scientific Computing
• +۲ مورد دیگر

Long Chen is Professor in the Department of Mathematics at the University of California, Irvine. His research develops computational methods for solving partial differential equations through finite element analysis and numerical linear algebra. Research advances include hybridizable finite elements, multigrid solvers, and accelerated optimization techniques. Recent work focuses on finite element complexes, distributional formulations, and efficient implementations for high-dimensional problems. Develops open-source software packages including iFEM for adaptive finite element methods. Teaching includes numerical analysis, optimization, and computational PDE courses.

Shabnam Sadeghi Esfahlaniمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

• Numerical Multiscale Methods
• Homogenization
• Finite Element Methods
• +۱ مورد دیگر

Timo Sprekeler is an Assistant Professor in the Department of Mathematics at Texas A&M University's College of Arts & Sciences. He joined Texas A&M in 2024 after serving as a Peng Tsu Ann Assistant Professor at the National University of Singapore (2021-2024). Sprekeler completed his Ph.D. in Mathematics at the University of Oxford (2017-2021) following a MASt from the University of Cambridge and BSc from TU Dortmund University. His research specializes in numerical multiscale methods, homogenization theory, and finite element techniques for partial differential equations. Recent publications focus on developing computational frameworks for elliptic equations and optimization problems, with applications to materials science and control systems. Sprekeler maintains an active research group and teaches graduate-level courses in computational mathematics. His office is located in Blocker 608L, and he can be contacted via email.

• Scientific Computing
• Numerical Methods
• Computational Cardiology
• +۵ مورد دیگر

Luca Pavarino is a Professor at the Department of Mathematics, University of Pavia. His research focuses on scientific computing and numerical methods, particularly in the context of cardiac electrophysiology and multiphysics systems. He leads the Scientific Computing group, specializing in domain decomposition methods (BDDC/FETI-DP), isogeometric analysis, and parallel algorithms. His work integrates advanced numerical techniques with biomedical applications, including cardiac electromechanical coupling, drug testing on cardiac tissues, and modeling genetic cardiac disorders like LQT8 syndrome. Key contributions include scalable solvers for nonlinear systems, preconditioners for heterogeneous media, and operator learning for ionic dynamics. Research interests span computational cardiology, numerical analysis, and parallel computing, with applications to biophysics and drug discovery. His projects often involve interdisciplinary collaborations between mathematics, engineering, and medicine. Notable contributions include: Development of BDDC/FETI-DP preconditioners for cardiac models Integration of machine learning with cardiac electrophysiology High-performance computing for multiphysics systems (Biot’s consolidation, protein stability) Labs/Teams: Scientific Computing Group at the University of Pavia’s Department of Mathematics.

Eugene O’Brienمشاهده پروفایل

استاد

• Civil Engineering
• Structural Engineering
• Bridge Safety
• +۳ مورد دیگر

Professor Eugene O’Brien is a leading academic in UCD School of Civil Engineering, part of University College Dublin. His research focuses on enhancing bridge safety through innovative traffic loading analysis methods. He co-founded ROD-IS, a consultancy applying academic insights to real-world infrastructure projects, including assessments of the Malahide Railway Viaduct and Firth of Forth Bridge in Scotland. His work integrates Weigh-in-Motion (WIM) sensors and camera-based monitoring to address critical gaps in assessing long-span bridges under congested traffic conditions. Key projects include developing probabilistic models for bridge lifetime safety, optimizing traffic management to extend bridge lifespans, and reducing environmental impacts through carbon footprint minimization. He has secured significant EU funding, including an €890,000 grant for bridge longevity research. His research group collaborates internationally on projects like the Chacao Channel Bridge in Chile, emphasizing sustainable infrastructure solutions.

• Partial Differential Equ
• Wave Propagation
• Numerical Analysis
• +۵ مورد دیگر

Eliane Becache is a permanent researcher at ENSTA Paris within the Applied Mathematics Unit (UMA) and serves as Director of the POEMS laboratory (CNRS/ENSTA/INRIA) and Deputy Director of the EDMH doctoral school. Her research focuses on partial differential equations for wave propagation, numerical methods including mixed finite elements and perfectly matched layers (PML), and unbounded domain resolution techniques. Education: Numerical analysis of PDEs and finite element methods Teaching: Courses on finite elements, complex variables, and wave equations at ENSTA and Orsay master's programs Her publications from 2010-2023 address topics like: Stability analysis of PMLs in anisotropic/disersive media Numerical methods for convective/acoustic wave propagation Wave scattering in unbounded domains Time-domain and frequency-domain wave simulations Elastodynamic and electromagnetic wave modeling Scientific Outreach: Co-author of educational films on wave propagation, including the award-winning Digital modeling of the acoustic guitar (Henri Poincaré Prize, 2003). Organized WAVES conferences and scientific events.

Mira Schedensackمشاهده پروفایل

استادیار

• Numerical Analysis
• Machine Learning
• Scientific Computing
• +۳ مورد دیگر

JProf. Dr. Mira Schedensack is a faculty member at the Institute for Analysis and Numerics within the Department of Mathematics and Computer Science , University of Münster. Her expertise lies in Numerical Analysis, Machine Learning, and Scientific Computing , with a focus on finite element methods and numerical solutions for partial differential equations. Research Interests: Numerical methods for PDEs, mixed finite element formulations, adaptive algorithms, and thermo-optical interactions in computational physics. Teaching: Offers courses in Numerical Partial Differential Equations and Adaptive Finite Element Methods. Students: Mentors doctoral student Jonas Ketteler . Publications: Key contributions to non-conforming FEM, Stokes equations, and gradient elasticity.

Joscha Gedickeمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Finite Element Methods
• +۳ مورد دیگر

Joscha Gedicke is a Professor at the Institute for Numerical Simulation (University of Bonn), specializing in Numerical Analysis , Finite Element Methods , and Scientific Computing . His research focuses on adaptive algorithms, error estimation, and computational methods for partial differential equations (PDEs) and optimal control problems. Contact: gedicke@ins.uni-bonn.de | +49 228 73-69835 Teaching: Lectures on Hybrid High-Order Methods (V5E1), Adaptive Finite Element Methods (S4E1), and Discontinuous Galerkin Methods (V5E5). Research Trends: Gedicke's work spans Numerical Methods for PDEs , Adaptive Finite Element Analysis , Mixed and Discontinuous Galerkin Formulations , and Error Estimation . His recent publications emphasize Virtual Element Methods and Robust Discretizations for magnetostatic and optimal control problems. Collaborative Networks: He collaborates with researchers in computational mathematics, including institutions like TU Munich, University of Milano-Bicocca, and the University of Bonn's research seminar on Mathematics of Computation .

Shangyou Zhangمشاهده پروفایل

دانشیار

• Finite Element Methods
• Numerical Analysis
• Partial Differential Equations
• +۳ مورد دیگر

Shangyou Zhang is an Associate Professor in the Department of Mathematical Sciences at the University of Delaware, affiliated with the College of Arts & Sciences. He holds a B.S. from the University of Science and Technology of China and a Ph.D. from The Pennsylvania State University. His research focuses on finite element methods, numerical analysis, and computational mathematics, with an emphasis on constructing and analyzing finite elements for partial differential equations, including superconvergence and error analysis. He has contributed extensively to the development of conforming and nonconforming elements for various equations such as the Stokes, biharmonic, and Maxwell equations, with a particular interest in divergence-free and H(div)-conforming elements. His work bridges theoretical analysis and practical numerical methods, addressing challenges in mesh adaptivity, stabilization, and high-order accuracy. Education: B.S. (USTC), Ph.D. (Penn State) Affiliations: University of Delaware, Department of Mathematical Sciences Research interests include finite element methods for PDEs, superconvergence, and numerical solutions of fluid dynamics and elasticity. Recent work emphasizes weak Galerkin methods, HDG schemes, and stabilized finite elements for complex geometries. His publications span topics like C1-Pk elements, divergence-free discretizations, and error estimates for mixed formulations. Publications highlight contributions to high-order elements, locking-free plate models, and robust discretizations for singular perturbations. Teaching includes computational mathematics courses such as MATH 426 (Spring 2025).

Bert Snijderمشاهده پروفایل

استاد

• Civil and Structural Engineering
• Mechanics of Materials
• Structural Analysis
• +۸ مورد دیگر

Bert Snijder is a Full Professor and holds the Chair of Structural Design (Steel Structures) at Eindhoven University of Technology (TU/e). His research focuses on the strength, stability, and fatigue of steel structures, with applications in buildings and bridges. He is also active in structural systems, connections, cold-formed sections, composite/hybrid structures, and high-strength steel applications. Key expertise: Civil and structural engineering, finite element analysis, structural design Active in UN Sustainable Development Goals related to sustainable infrastructure and education His recent work explores advanced computational methods for fatigue crack analysis, AI-driven crack detection in steel bridges, and Eurocode 3 adaptations for high-strength materials. He contributes to international standards through his leadership in Eurocode 3 committees and the European Convention for Constructional Steelwork. Scientific contributions include: Development of adhesively bonded repair techniques for steel joints Machine learning frameworks for crack segmentation Experimental validation of Eurocode 3 failure mechanisms

Md Rashad Islamمشاهده پروفایل

دانشیار

• Civil Engineering
• Transportation Engineering
• Materials Science
• +۳ مورد دیگر

Dr. Md Rashad Islam is an Associate Professor in the Department of Civil Engineering at Colorado State University Pueblo. He holds a Ph.D. in Civil Engineering from the University of New Mexico and an M.S. from the University of Minho (Portugal) and Technical University of Catalonia (Spain). His expertise spans pavement materials, transportation engineering, and material science, with a focus on asphalt concrete properties, pavement design, and fatigue analysis. Dr. Islam is a registered Professional Engineer (PE) and serves as an ABET Program Evaluator, contributing to academic accreditation standards. He has authored multiple textbooks, including Engineering Dynamics: Fundamentals and Applications (CRC Press, 2022) and Civil Engineering Materials: Introduction and Laboratory Testing (CRC Press, 2020). His research addresses sustainable infrastructure solutions, recycled materials, and pavement performance under dynamic loads. Education: Ph.D., Civil Engineering, University of New Mexico (201X) M.S., Civil Engineering, University of Minho & Technical University of Catalonia (201X) Research Interests: Pavement Materials & Fatigue Analysis Sustainable Asphalt Technologies Transportation Infrastructure Design Material Characterization & Performance Modeling Dr. Islam has published over 100 scholarly articles and serves as an editorial reviewer for several journals. His work emphasizes practical applications, such as roadway dynamics and environmental impacts on infrastructure. He collaborates with industry partners on projects involving recycled asphalt and pavement maintenance strategies.

• Bituminous Materials
• Asphalt Technology
• Recycled Materials in Construction
• +۳ مورد دیگر

Amanda Gibney is an Associate Professor and Head of School in the School of Civil Engineering at University College Dublin (UCD). She holds a 1st Class Honours BE (UCD, 1985), a MSc (City University London, 1990), and a PhD (UCD, 2002) focused on asphaltic materials. Her career spans academic and industry roles, including leadership in teaching and research. She has received prestigious awards, including the National Teaching Excellence Award (2009) and UCD Fellowship in Teaching & Academic Development (2007). Research focuses on bituminous materials, pavement engineering, and innovative teaching methodologies. Key contributions include studies on recycled asphalt, cold-mix materials, and fatigue resistance in pavements. She has secured significant research funding, including grants from CEDR, NRA, and Enterprise Ireland. Teaching leadership includes roles as Vice Principal for Teaching & Learning (2008–2019) and coordination of modules like Highway Engineering and Innovation Leadership. Professional activities include committee roles with the Royal Town Planning Institute and NSAI Roads Standards Committee.

Erdem Coleriمشاهده پروفایل

دانشیار

• Sustainable Pavement Materials
• Energy-Efficient Pavement Design
• Infrastructure Health Monitoring
• +۳ مورد دیگر

Erdem Coleri is an Associate Professor at Oregon State University's College of Engineering, Department of Civil and Construction Engineering. He joined OSU in 2014 after postdoctoral work at the University of California Pavement Research Center. His research focuses on sustainable pavement materials, energy-efficient design, and infrastructure health monitoring using wireless sensor networks. He directs the OSU Asphalt Materials and Pavements (AMaP) Lab, emphasizing recycled materials and pavement sustainability. Education: Ph.D., Civil and Environmental Engineering (UC Davis, 2011); M.S. and B.S., Civil Engineering (Middle East Technical University, Turkey). Research interests include asphalt characterization, pavement management systems, and wireless sensor networks for infrastructure monitoring. Notable awards include the John and Jean Loosley Faculty Fellow (2015) and Oregon State University Teaching Excellence (2020). He advises students like David Covey and Aiman Mahmoud, focusing on tack coat performance and recycled materials. His lab develops technologies to reduce environmental impact and improve pavement longevity. Key projects include the AMaP Lab's work on permeable pavements, warm-mix asphalt, and energy-efficient designs. He collaborates with ODOT and agencies on field tests and sensor systems. Recent publications address balanced mix design, recycled materials, and fuel efficiency linked to pavement roughness.