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Sharif RahmanView profile

Professor

• Uncertainty Quantification
• Stochastic Computational Mechanics
• Multiscale Mechanics
• +7 more

Sharif Rahman is a Professor in the Department of Mechanical Engineering at the University of Iowa's College of Engineering. He also holds a professorship in Applied Mathematical and Computational Sciences and is a Researcher at the Iowa Technology Institute. His work bridges engineering mechanics, applied mathematics, and computational science. His research focuses on the development of advanced computational methods for uncertainty quantification in complex systems. Key areas include stochastic finite-element and mesh-free methods, multiscale mechanics of heterogeneous materials, random eigenvalue problems, and mathematical modeling of random microstructures. These efforts support reliability analysis and safety assessment in engineering systems. Rahman is an active member of several leading professional societies, including the American Society of Mechanical Engineers (ASME), American Society of Civil Engineers (ASCE), U.S. Association for Computational Mechanics (USACM), and the International Society for Computational Engineering & Sciences. His research is conducted through the Sharif Rahman Research Group at the Iowa Technology Institute. He advises graduate students and contributes to interdisciplinary research initiatives involving high-dimensional stochastic systems. His work has applications in structural safety, material science, and computational engineering. Rahman is supported by institutional affiliations that enable collaborative and cross-disciplinary research. The research group operates from the Iowa Technology Institute, leveraging advanced computational resources and interdisciplinary partnerships to advance predictive modeling under uncertainty. The lab fosters innovation in computational mechanics and promotes rigorous mathematical frameworks for engineering analysis.

• Structural Mechanics
• Acoustic Emission Methods
• Damage Diagnosis in Structures
• +15 more

Giuseppe Lacidogna is Associate Professor in Structural Mechanics at the Department of Structural, Building and Geotechnical Engineering (DISEG), Politecnico di Torino, Italy. He leads the Fracture Mechanics Laboratory and is a key researcher in structural health monitoring and damage diagnosis. He holds a PhD in Structural Engineering from Politecnico di Torino (1994) and graduated cum laude in Architecture (1985). He achieved National Academic Qualification as Full Professor in 2018 and is Fellow of the European Academy of Sciences. He serves on the Academic Board of the Doctorate in Civil and Environmental Engineering and previously directed the Structural Engineering Doctorate (2016–2018). Research Interests: Acoustic emission for damage identification in concrete, masonry, and rocks Cracking evolution in masonry arch bridges Creep and long-term behavior of concrete Fracture mechanics and modeling (FEM, DEM) Seismic precursors and critical phenomena Mechanics of macromolecular and protein structures Static and dynamic analysis of high-rise buildings His recent research, reflected in publications from 2022 to 2025, emphasizes acoustic emission monitoring of historical and modern structures (e.g., Garisenda Tower), fracture in 3D-printed geopolymers, self-healing materials, and multiscale modeling of seismic events. His work bridges civil engineering, materials science, and computational mechanics. Scientific Awards and Recognitions: Fellow, European Academy of Sciences (2018) Certificate Merit Award, European Society for Experimental Mechanics (EuraSEM, 2018) Best Paper Award, Conference on Structural Faults + Repair (2008) Top Italian Scientist, Engineering-Mechanics Area (2021) He actively supervises PhD students and has secured competitive and commercial research funding, including the GREENER project (PNRR) and long-term monitoring of the Garisenda Tower. He serves on editorial boards of journals such as SCI , Construction and Building Materials , and Applied Sciences , and is a member of professional societies including AIMETA, RILEM, SEM, and CTBUH. His research integrates experimental and numerical methods to address challenges in infrastructure safety and sustainability. Laboratories and Research Teams: Fracture Mechanics Laboratory (DISEG), Politecnico di Torino Principal Investigator in multiple national and international research collaborations Leader of the SISCON Interdepartmental Center component on Safety of Infrastructures and Constructions

Ahmed HassanView profile

Associate Professor

• Applied Electromagnetics
• Nanoelectromagnetics
• Bioelectromagnetics
• +12 more

Ahmed Hassan is an Associate Professor in the Department of Electrical Engineering at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He is the founder and director of the Multidisciplinary Multiscale Electromagnetics Lab (MMEL), where he conducts cutting-edge research in applied electromagnetics with applications in nanotechnology, medicine, and defense. Education: Ph.D. in Electrical Engineering, University of Arkansas, 2010 M.S. in Electronics and Communication Engineering, Cairo University, 2006 B.S. in Electronics and Communication Engineering, Cairo University, 2004 Research Interests: His expertise spans applied electromagnetics, nanoelectromagnetics, bioelectromagnetics, computational electromagnetics, electromagnetic compatibility (EMC), and microwave/terahertz imaging. He employs both computational and experimental methods to solve real-world challenges in materials, biomedical sensing, and defense systems. His work often integrates machine learning and high-performance computing for electromagnetic modeling. Publication Trends: His recent research focuses on carbon nanotubes, plasmonic sensors, UAV electromagnetic compatibility, and biomedical applications of microwaves. He frequently uses characteristic mode analysis, computational modeling, and experimental validation to advance understanding in multiscale electromagnetics. Scientific Awards: University of Arkansas College of Engineering Early Career Alumni Award (2021) IEEE Senior Member (2019) UMKC Chancellor’s Early Career Award for Excellence in Teaching (2018) Elected Full-Member, U.S. National Committee for URSI (2018) CS&EE Excellence in Teaching Award (2017) Sigma Xi Outstanding Poster Award, NIST (2014) Doctoral Academy Fellowship, University of Arkansas (2007–2010) Cairo University Faculty Prize (1999–2004) Advising and Grants: Dr. Hassan has advised numerous PhD and MS students, many of whom have received research grants and awards. His lab is supported by major funding from DARPA, NSF, ONR, NIST, and industry partners like Zoloz. Projects include counter-drone technologies, biometric sensing, and nanoscale electromagnetic modeling. He actively recruits PhD students with strong computational or experimental backgrounds. Labs and Teams: The MMEL Lab is equipped with advanced hardware including vector network analyzers, SEM, and high-performance computing workstations, and software tools like COMSOL, FEKO, CST, and HFSS. The lab fosters interdisciplinary collaboration across engineering, physics, and medicine.

Alex Ferrer FerreView profile

Associate Professor

• Materials Design
• Aeronautical Engineering
• Computational Mechanics
• +4 more

Àlex Ferrer Ferre is a Serra-Hunter Associate Professor at the Department of Physics, Universitat Politècnica de Catalunya (UPC) in Barcelona, and an associate researcher at the International Center for Numerical Methods in Engineering (CIMNE). His research focuses on topology optimization, computational mechanics, and advanced material design. He holds a PhD in Computational Mechanics from UPC (2017) and has conducted postdoctoral research at the University of Oxford and École Polytechnique. Key roles include teaching courses like Flight Mechanics and leading the Swan project for topology optimization software. His work integrates academic and industrial collaborations with entities like ESA and INEGI. Research interests span multiscale design, topology optimization for additive manufacturing, and fracture mechanics. Major projects include the TopSat CubeSat chassis project (ESA-funded) and the Flexion project on flexible material design. Awards include the Marie Curie Fellowship (2019) and an Excellent Cum Laude PhD. His labs and teams collaborate globally, emphasizing open-source tools and collaborative research.

Marco GohsView profile

Researcher

• Tribology
• Sealing Technology
• Finite Element Analysis
• +3 more

Marco Gohs is an academic staff member at the Institute for Machine Elements and Sealing Technology, University of Stuttgart. His research focuses on advanced sealing technologies, including PTFE Sleeve Seals, Back-Structured Shaft Seals (B3S), and elastomer-based sealing solutions. He specializes in applying finite element analysis (FEM) and laser engraving techniques to optimize seal performance under dynamic and static conditions. His work bridges material science, tribology, and additive manufacturing to improve seal reliability and efficiency in industrial applications. Education details are not explicitly provided in the text, but his research indicates expertise in mechanical engineering and materials science disciplines. His recent publications emphasize multiscale modeling of tribological systems, 3D-printed seal adaptations, and experimental validation of seal structures using advanced optical methods like frustrated total internal reflection and particle image velocimetry (PIV). Research highlights include developing stamped and laser-engraved back-pumping structures for PTFE seals, evaluating 3D-printed rotary shaft seals for rapid prototyping, and numerical/experimental analyses of elastomer seal mechanics. His contributions address critical challenges in sealing technology, such as balancing friction, pressure control, and material durability under varying operational loads.

Irene AriasView profile

Professor

• Modeling and simulation of active materials
• Fracture mechanics in electromechanical materials
• Phase-field models of fracture
• +3 more

Irene Arias is a Professor at the Universitat Politècnica de Catalunya (UPC) and an ICREA Academia Awardee. She holds a PhD in Mechanical Engineering from Northwestern University (2003) and a BS/MS in Civil Engineering from UPC. Her postdoctoral research at Caltech focused on computational solid mechanics under Prof. Michael Ortiz. Her research interests revolve around modeling and simulation of active materials, particularly flexoelectricity in solids. She investigates fracture mechanics in electromechanical systems, phase-field models of fracture, and ferroelectric materials. Recent work emphasizes flexoelectric effects in nanoscale materials and their applications in electromechanical transduction. Publications span computational mechanics, metamaterials, and nanotechnology. Notable contributions include modeling surface effects in flexoelectric materials and developing topology optimization frameworks for apparent piezoelectricity. She also leads the Spanish Association of Numerical Methods in Engineering (SENI-CIMNE).

Tim RickenView profile

Professor

• Structural Mechanics
• Finite Element Methods
• Environmental Mechanics
• +5 more

Prof. Tim Ricken serves as Dean of Studies for Aerospace Engineering and leads the Institute of Statics and Dynamics of Aerospace Structures at the University of Stuttgart. His research focuses on structural mechanics, finite element methods, environmental mechanics (particularly sea ice modeling), biomechanics, and AI-driven computational frameworks. He oversees state-of-the-art experimental labs for material fatigue analysis and collaborates with high-performance computing resources like Vulcan and Hawk clusters. Key research areas include multiphase modeling, porous media mechanics, and multiphysics simulations. His team addresses challenges in aerospace structures, biomedical engineering (e.g., liver and tumor modeling), and climate-related systems such as Antarctic sea ice dynamics. Current projects involve DFG-funded initiatives (e.g., SimLivA for liver injury modeling) and the Cluster of Excellence SimTech. Grants include SPP 1886, SPP 2311, and FOR 5151 (QuaLiPerF). Notable innovations include the FE2M multiscale framework, physics-informed neural networks (e.g., DeepONet), and the Onco* tumor modeling platform. He emphasizes model adaptation via equilibrated fluxes and stress-driven finite element methods. Experimental work spans laser therapy optimization, auxetic material analysis, and biomaterial testing in rolling suitcase labs.

• Computational Mechanics
• Numerical Methods (Meshfree/XFEM/Isogeometric)
• Mixed Variational Methods
• +3 more

Jack HALE is a Research Scientist at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), Department of Engineering. He joined Prof. Stéphane Bordas' team in 2013, focusing on computational mechanics and numerical methods. His work integrates advanced techniques like meshfree methods, XFEM, and isogeometric analysis to address challenges in solid mechanics and high-performance computing. Education : PhD in Aeronautics, Imperial College London (2009-2013), supervised by Dr. Pedro M. Baiz Villafranca. MEng in Engineering, University of Bristol (2004-2008). Research exchange at Rice University (2006-2007) on cross-flow filtration processes. Research Interests : Implicit boundary methods for medical image-based simulations. Development of scalable meshfree/XFEM/isogeometric analysis frameworks. Mixed variational methods to resolve locking phenomena in solid mechanics. High-performance computing for distributed parallel systems. Publications & Software : His 50+ publications emphasize open-access research via ORBilu, with a focus on FEniCSx-based tools (e.g., DOLFINx, FEniCS-shells). Recent work addresses Bayesian model selection, melt instability identification, and SAR data assimilation in aquifer modeling. Collaborations : Open to academic/industrial partnerships in computational mechanics, material science, and biomedical engineering.

• Strength Engineering Methods
• Fatigue Analysis
• Reliability and Robustness in Product Design
• +3 more

Professor Mårten Olsson holds the Sverker Sjöström Professorship in Reliable Structures at the Royal Institute of Technology (KTH) within the Department of Materials and Structural Mechanics. He has led the department since 2006 and previously held roles such as Director of PhD Education and Head of Solid State Engineering programs. His research focuses on strength engineering methods to enhance product reliability and robustness through advanced fatigue analysis, multiaxial loading models, and probabilistic failure prediction. Olsson has authored over 60 peer-reviewed articles and supervised 14 completed PhD students, contributing to fields like additive manufacturing, engine block dynamics, and composite material behavior. His work integrates computational modeling with experimental validation to address industry challenges in structural reliability and optimization. Research Interests: Olsson’s research spans fatigue analysis, multiaxial loading effects, reliability-based design optimization, and material degradation mechanisms. Notable areas include probabilistic modeling of standing contact fatigue, fracture mechanics in composites, and vibration analysis in engine systems. Key Contributions: His publications highlight advancements in second-order reliability methods, fatigue probability models for complex geometries, and the integration of deformation effects into structural dynamics. Olsson’s methodologies have been applied to aerospace components (e.g., gas turbine blades) and automotive systems (e.g., engine gaskets). Academic Leadership: Beyond research, Olsson has orchestrated educational programs at KTH, including the Master of Science in Engineering Physics, and pioneered competency specialization tracks in Solid State Engineering. His teaching spans undergraduate through doctoral levels, emphasizing practical industrial applications.

Rebecca BrannonView profile

Professor

• Computational Solid Mechanics
• Plasticity Modeling
• Poroelasticity
• +7 more

Rebecca Brannon is a Professor in the Department of Mechanical Engineering at the University of Utah, specializing in computational solid mechanics and constitutive modeling. She holds a PhD in Engineering Mechanics from the University of Wisconsin, Madison (1992), an MS from the same university (1988), and a BS in Mechanical Engineering from the University of New Mexico (1987). Her research focuses on improving the accuracy, stability, and efficiency of plasticity models, damage mechanics, poroelasticity, and advanced numerical methods like the Material Point Method (MPM). Key contributions include mesoscale validation techniques, constitutive model development (e.g., ARENA and Kayenta), and tensor analysis frameworks for engineering applications. Her work bridges theory and application, addressing challenges in shock physics, rock mechanics, and biomedical engineering (e.g., ceramic hip prosthesis wear). She has pioneered methods for uncertainty quantification in damage models, verification frameworks for computational mechanics, and visualization tools for tensor fields. Notable projects include modeling hypervelocity impact, blast effects on geologic materials, and analyzing deformation-induced anisotropy in porous media. Brannon has led interdisciplinary initiatives, such as the ONR MURI project on soil blast modeling, and contributed to software development (e.g., CTH and Uintah-MPM). Her expertise spans experimental validation (using XCT data), numerical algorithm design, and thermodynamic consistency in constitutive equations. Her research underscores the importance of rigorous validation and the integration of micro-scale heterogeneity into macro-scale models.

Serena GambarelliView profile

Researcher

• Computational Mechanics
• Structural Engineering
• Materials Science
• +5 more

Serena Gambarelli is an Independent Junior Research Group Leader at the Materials Testing Institute (MPA) within the Cluster of Excellence IntCDC at the University of Stuttgart. Her work focuses on computational mechanics of materials and structures, particularly in analyzing material behavior under complex conditions. University: University of Stuttgart School: Cluster of Excellence IntCDC Department: Materials Behavior and Modelling Her research spans multiscale finite element (FE) modeling in continuum mechanics, static and dynamic analysis of nonlinear systems, and time-dependent degradation phenomena in heterogeneous materials like concrete, steel, FRP, and wood. She also investigates fire performance of building materials and develops software tools such as MASA-Macroscopic Space Analysis . The 15 most recent articles demonstrate expertise in topics including concrete fracture mechanics, corrosion processes, CFRP confinement, fiber-reinforced composites, and multiscale simulation techniques. These works emphasize 3D FE modeling, time-dependent behavior, and durability analysis across civil engineering applications. Research Project: Durability and Longevity of Timber Buildings (RP 23-1) Ongoing Project: Preventing Solutions for Sensitive Materials of Cultural Heritage (Funded by EU Horizon 2020) Completed Project: Damage Processes in Concrete Pavements (Funded by Wirtgen GmbH)

Vivek BharadwajView profile

Researcher

• Computational Molecular Science
• Bioenergy Research
• Biophysics
• +4 more

Dr. Vivek Bharadwaj is a Staff Scientist in the Computational Molecular Science department at the National Renewable Energy Laboratory (NREL) , where he has worked since 2018. His research integrates computational molecular modeling , quantum mechanics , and finite element methods to advance bioenergy technologies and chemical conversion systems . PhD (2015): Chemical Engineering, Colorado School of Mines Master's (2011): Chemical Engineering, Colorado School of Mines Bachelor's (2008): Chemical Engineering, Sardar Vallabhbhai National Institute of Technology Surat Vivek's research focuses on: Elucidating biomass biosynthesis mechanisms in plants Investigating the biophysics of plant cell wall pectins Modeling enzymatic biomass deconstruction pathways Developing intrinsic kinetics models for catalytic systems Studying electron transport in biological systems His publications demonstrate expertise in molecular dynamics , machine learning applications in enzyme analysis, and catalyst surface characterization . Key collaborations include work with the Center for Bioenergy Innovation and Consortium for Computational Physics and Chemistry . 2015: American Chemical Society Chemical Computing Group Research Excellence Award 2014: NVIDIA Best GPU Poster Award

Sarah Eberle-BlickView profile

Senior Lecturer

• Numerical Analysis
• Inverse Problems
• Partial Differential Equations
• +7 more

Sarah Eberle-Blick is a Senior Lecturer at the Institute of Mathematics , Goethe University Frankfurt, Department of Computer Science and Mathematics. Her work bridges numerical methods, inverse problems, and wave propagation in elasticity. Research Focus : Numerical analysis of PDEs, monotonicity methods for inclusion detection, FEM-BEM coupling, multiscale seismic data processing. Key Contributions : DFG-funded projects on elastic wave reconstruction; development of stable integral formulations for acoustic and thermoelastic wave equations; implementation of 3D wave simulations. Article Trends : Recent papers emphasize inverse problems in linear elasticity, time-harmonic wave equations, and multiscale analysis using wavelets. Collaborative work spans geophysics, computational mechanics, and mathematical modeling. Projects : Includes monotonicity-based regularization, Lipschitz stability estimation, and FEM-BEM coupling with convolution quadrature. Contact: eberle@math.uni-frankfurt.de | Room 103, Institute of Mathematics, Frankfurt am Main, Germany.

Peter MünchView profile

Researcher

• High-performance computing
• Matrix-free computations
• Iterative solvers
• +7 more

Peter Münch is a postdoctoral researcher at the Chair of Numerical Methods for Partial Differential Equations within the Institute of Mathematics at Technical University of Berlin (TU Berlin), Faculty II - Mathematics and Natural Sciences. He has held research positions at Uppsala University, University of Augsburg, Helmholtz-Zentrum Hereon, and Technical University of Munich. Dr. Münch's research focuses on high-performance scientific computing with expertise in matrix-free computations, dynamic sparse communication patterns, node-level optimization, iterative solvers including multigrid and block preconditioners, and efficient algorithms for high-dimensional partial differential equations. His work spans discontinuous Galerkin methods, computational fluid dynamics, and simulation of additive manufacturing processes including solid-state sintering and melt-pool modeling. He is one of the principal developers of the deal.II finite-element library, which won the SIAM/ACM Prize in Computational Science and Engineering in 2025. His recent publications demonstrate significant contributions to matrix-free finite element methods, multigrid solvers, and applications in computational fluid dynamics and materials science. The research shows a strong trend toward high-performance implementations of numerical methods for extreme-scale computing, with particular emphasis on matrix-free approaches that avoid explicit storage of large sparse matrices. SIAM/ACM Prize in Computational Science and Engineering 2025 (for deal.II) Dr. Münch has supervised numerous student projects including Master's theses, Bachelor's theses, and term papers on topics ranging from immersed boundary methods to high-order discontinuous Galerkin methods. His teaching activities include courses on Numerical Methods for ODEs, PDEs, and High-Performance Parallel Computing. He has contributed to multiple deal.II tutorial programs (steps 19, 68, 75, 76, 87) demonstrating advanced finite element techniques. As a principal developer of the deal.II finite element library, Dr. Münch is actively involved in the open-source scientific computing community, contributing to one of the most widely used finite element frameworks in computational science and engineering. His GitHub profile shows consistent contributions to deal.II and related projects, with significant activity in 2025.

• Biomechanics
• Computational biomechanics
• Musculoskeletal soft tissues
• +5 more

Jeffrey Weiss is a Professor of Biomedical Engineering at the University of Utah, with adjunct appointments in Orthopaedics and the School of Computing. He is also a Faculty Member in the Scientific Computing and Imaging Institute. His academic journey began with bachelor's and master's degrees in Bioengineering from UC San Diego, followed by a PhD in Bioengineering from the University of Utah in 1994. After postdoctoral training at Lawrence Livermore National Laboratory (1994-96), he joined the University of Utah faculty. His educational background includes: BS in Bioengineering, University of California, San Diego (1989) MS in Bioengineering, University of California, San Diego (1990) PhD in Bioengineering, University of Utah (1994) Postdoctoral training in Applied Mechanics, Lawrence Livermore National Laboratory (1994-96) Professor Weiss's research focuses on experimental and computational biomechanics, with applications to musculoskeletal and cardiovascular soft tissues. His key areas include the mechanics of angiogenesis, development of patient-specific analysis methods, structure-function relationships in ligaments and tendons, and computational biomechanics software development. With Gerard Ateshian at Columbia, his lab develops FEBio, an open-source finite element software suite widely used in biomechanics research. His extensive publication record demonstrates a consistent focus on advancing computational methods in biomechanics, with recent work emphasizing patient-specific modeling, multiscale approaches, and open-source software tools. His research bridges engineering principles with biological applications, particularly in cardiovascular and orthopedic contexts. His notable scientific achievements include: Whitaker Foundation Research Grant (1995) NSF CAREER Award (2002) ASME YC Fung Young Investigator Award (2002) Election to Fellow of the AIMBE (2006) ASME Van C. Mow Medal (2013) Election to Fellow of the ASME (2018) Distinguished Research Award from the University of Utah Multiple Best Paper awards Editor's Choice Award (2023) Honored as a Top 15% Graduate Level Instructor in the College of Engineering (2022) Professor Weiss has successfully secured numerous NIH-funded research grants supporting computational biomechanics, cardiovascular modeling, and tissue engineering. His development of the FEBio software suite has created a valuable resource for the biomechanics community. He is actively involved in teaching, with courses focused on biomechanics and computational methods, and has received consistent recognition for teaching excellence. He leads a research group that develops and applies advanced computational methods to solve challenging problems in biomechanics, collaborating extensively with clinicians and researchers across disciplines, particularly in orthopedics and cardiovascular medicine, to translate computational advances into clinically relevant applications.