جست‌وجوی استاد و پژوهشگر

Carina Schwarzمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Finite Element Methods
• Least-Squares Finite Element Method
• +۷ مورد دیگر

Carina Schwarz is a researcher at the Institute of Mechanics, Faculty of Engineering, University of Duisburg-Essen, where she has been a research assistant since 2012 and completed her doctorate in 2018. Her work focuses on the development and application of least-squares finite element methods (LSFEM) to problems in fluid and solid mechanics, including sea ice modeling, fluid-structure interaction, and incompressible fluid dynamics. She teaches multiple courses in engineering mechanics and finite element methods at both bachelor’s and master’s levels. PhD in Engineering, University of Duisburg-Essen, 2018 B.Sc. in Civil Engineering, University of Duisburg-Essen, 2010 M.Sc. in Computational Mechanics, University of Duisburg-Essen, 2012 Research stay at École des Mines, Paris, 2012 Her research interests center on computational mechanics , particularly least-squares finite element methods , sea ice modeling , and incompressible fluid dynamics . She investigates higher-order time integration schemes and mixed finite element formulations for linear elastodynamics and fluid-structure interaction problems. Her work bridges theoretical mechanics with practical numerical simulation tools. The trend in her recent publications shows a growing emphasis on environmental applications, especially sea ice dynamics in polar regions, using advanced computational fluid dynamics and numerical methods. Her earlier work focused more on fundamental formulations of LSFEM for Navier-Stokes equations and elastodynamics, evolving toward coupled environmental systems. She has supervised multiple student theses in computational mechanics, mentoring students in finite element implementation and numerical modeling. Although no specific grants or awards are mentioned, her consistent publication output in reputable journals and conferences reflects sustained research activity. Carina Schwarz leads and contributes to collaborative research projects involving interdisciplinary modeling of complex mechanical and environmental systems. Her work is integrated within the Institute of Mechanics, where she participates in academic teaching and research seminars such as the Seminar for Numerical Mathematics and Mechanics (SNMM).

• Computational Materials Science
• Crystal Plasticity
• Phase-field Modeling
• +۴ مورد دیگر

Dr. Shanthraj Pratheek is a researcher affiliated with multiple institutions including Aachen Institute for Advanced Study in Computational Engineering Science at RWTH Aachen University Microstructure Physics and Alloy Design at Max Planck Society's Max-Planck-Institut für Eisenforschung GmbH The School of Materials at The University of Manchester Henry Royce Institute at The University of Manchester United Kingdom Atomic Energy Authority (UKAEA) His research focuses on multi-physics computational materials science , particularly in areas like crystal plasticity , phase-field modeling , and microstructure evolution . Key topics include chmo-mechanical coupling , damage mechanics , and multi-scale simulation of metallic systems. He has contributed to the development of the DAMASK simulation software for crystal plasticity and multiphysics problems. Recent publications highlight his work on chmoelastic interactions in alloys precipitation kinetics in aluminum systems dislocation segregation mechanisms multi-sublattice phase modeling grain boundary microchemistry FFT-based damage solvers He maintains active collaborations across institutions including University of Manchester, RWTH Aachen, Max Planck Society, and UKAEA, with a focus on computational simulations for materials design and failure analysis.

Martin Diehlمشاهده پروفایل

مدرس

• Computational Materials Science
• Crystal Plasticity
• Multi-physics Modeling
• +۳ مورد دیگر

Martin Diehl is a lecturer at the Faculty of Engineering Sciences of KU Leuven , Belgium. He is affiliated with the Department of Materials Engineering and the Department of Computer Science . His research focuses on computational materials science, particularly crystal plasticity simulations and multiscale modeling of metallic microstructures.

Paul Steinmannمشاهده پروفایل

استاد

• Engineering Mechanics
• Solid Mechanics
• Materials Modeling
• +۷ مورد دیگر

Prof. Dr. Paul Steinmann is a full Professor and Chair of Engineering Mechanics (LTM) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Faculty of Engineering. Since December 2020, he serves as Special Representative for Strategic Development at FAU, supporting academic positioning and research excellence. He is also Director of the Glasgow Computational Engineering Centre (GCEC), UK, reflecting his international leadership. Research Interests: His work focuses on advanced computational and theoretical mechanics, including materials modeling, multiscale and multiphysics problems, fracture mechanics, biomechanics, and finite element methods. He develops robust mathematical and numerical frameworks for complex material behavior under extreme conditions. Publication Trends: His recent research emphasizes cross-scale fracture modeling, phase-field methods, thermomechanical coupling, chemo-mechanical degradation, and configurational mechanics. These reflect a strong trend toward unified, thermodynamically consistent frameworks applicable across engineering and biological systems. Scientific Awards: Fellow Award from IACM (2006) Fellow Award from EUROMECH (2006) Timoshenko Visiting Scholar Award, Stanford University (2007) ERC Advanced Grant (2011) Royal Society Wolfson Research Merit Award (2017) Advising and Grants: As spokesperson for the DFG Research Training Group FRASCAL and former leader of multiple DFG projects, he has supervised numerous PhD students and postdocs. He has secured major grants including the ERC Advanced Grant and led collaborative research across Germany and internationally. He has served on DFG and DAAD committees, contributing to national research policy and funding decisions. Labs and Teams: He leads the Chair of Engineering Mechanics at FAU and is deeply involved in the DFG Research Training Group FRASCAL, fostering interdisciplinary research across mechanics, materials science, mathematics, chemistry, and physics. His international role as Director of GCEC strengthens computational engineering collaborations between FAU and UK institutions.

Regis Duvigneauمشاهده پروفایل

پژوهشگر

• Scientific Computing
• Numerical Methods
• Isogeometric Analysis
• +۱۰ مورد دیگر

Regis Duvigneau is a senior researcher ( Directeur de Recherche ) at Acumes project-team within Inria Centre at Université Côte d'Azur, and affiliated with the Jean-Alexandre Dieudonné laboratory. His work bridges scientific computing, fluid mechanics, and optimization. Academic Background : INRIA researcher (2016-present), Opale team (2005-2015), post-doctoral fellow at Polytechnic Montreal (2003-2004), PhD at Centrale Nantes (2000-2002) Research focuses on numerical methods for PDE systems , particularly in fluid mechanics. Key areas: isogeometric analysis, machine learning algorithms, sensitivity analysis, Bayesian optimization, and uncertainty quantification. His recent publications demonstrate expertise in: Isogeometric Discontinuous Galerkin schemes for compressible flows Physics-Informed Neural Networks for multiphysics problems Statistical learning for metasurface optimization Shape sensitivity analysis with high-order accuracy Multi-objective optimization frameworks Collaborative projects span aerodynamics, nanophotonics, and marine engineering, including ANR contracts FREEFORM (2025-2029) and FP7 initiatives. Current advisee Nathan Ricard works on Physics-Informed Neural Networks, while past students include experts in isogeometric analysis, Bayesian optimization, and sensitivity analysis (2014-2024).

Alessandro Gabbanaمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Lattice-Boltzmann Method
• Turbulence Modeling
• +۳ مورد دیگر

Alessandro Gabbana is a University Researcher at Eindhoven University of Technology, affiliated with the Applied Physics and Science Education school and the Computational Multiscale Transport Phenomena group. His research focuses on computational physics, particularly lattice-Boltzmann methods and fluid dynamics. He co-leads the HTCrowd project (2020–2026), developing high-tech platforms for human crowd flow monitoring and modeling. Research interests span: Advanced computational fluid dynamics (CFD) Turbulence subgrid modeling using data-driven approaches Pedestrian dynamics and probabilistic flow analysis Neural network integration with kinetic schemes His publications demonstrate strong emphasis on improving lattice-Boltzmann boundary conditions, turbulence closures, and large-scale pedestrian dynamics simulations.

Majid Sedighiمشاهده پروفایل

استاد

• Geotechnical Engineering
• Environmental Engineering
• Geo-materials Engineering
• +۷ مورد دیگر

Majid Sedighi is a Professor (Reader) in Geotechnical Engineering at the University of Manchester, leading the Geo-Environmental research theme. He is also the Head of Internationalisation (Africa and the Middle East) at the Faculty of Science and Engineering, and serves on the Editorial Board of Géotechnique . His research focuses on geoenvironmental engineering, multiphysics processes in soils, and sustainable technologies for energy and environmental challenges, including radioactive waste management and microplastics mitigation. Education: MSc and PhD in Geotechnical Engineering from Cardiff University, with prior experience as a UNESCO Research Fellow and Senior Design Engineer. He has supervised 16 PhD students since 2011 and leads projects on clay erosion, geothermal energy, and groundwater remediation. Research interests include coupled THCM processes, geo-material behavior under extreme conditions, and sustainable development goals. He has secured £10M in European funding and collaborates globally, including as an Adjunct Professor at Zhejiang University. Awards include the ICE Environmental Geotechnics Prize (2019) and Best Paper Awards. His work contributes to UN Sustainable Development Goals related to clean water, affordable energy, and responsible consumption. Active in professional roles: Discipline Lead at Nuclear Waste Services, member of the Centre for Crisis Studies, and organizer of international conferences on environmental sustainability. His lab, Geo-Environmental Engineering Group , offers PhD funding in multiphysics, reactive transport, and microplastics research.

Christian Stemmerمشاهده پروفایل

استاد

• Hypersonic Aerodynamics
• Fluid Mechanics
• Thermal and Chemical Nonequilibrium Flows
• +۳ مورد دیگر

Prof. Christian Stemmer is a Professor of High-Speed Aerodynamics at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design and the Department of Aerodynamics and Fluid Mechanics. His research focuses on hypersonic flows, boundary layer transition, thermal and chemical nonequilibrium phenomena, and research data management. Stemmer holds a Dr.-Ing. habil. and has extensive international experience, including postdoctoral work at Stanford University and NASA Ames. Career highlights: Appointment as extraordinary professor in 2019, leadership roles in the Collaborative Research Center TRR40 (SFB/TRR40), and membership in editorial boards such as Advances in Aerodynamics . Awards: 2020 NATO AVT Panel Excellence Award for contributions to hypersonic flow research. Key projects: Investigation of hypersonic boundary layer transition under high-enthalpy conditions, development of numerical models for rocket combustion chambers, and leadership in national and international research consortia. His work bridges fundamental fluid mechanics with aerospace engineering applications, emphasizing high-performance computing and data-driven methodologies. Recent contributions include studies on roughness-induced instabilities, shock-wave interactions, and metadata extraction frameworks for HPC workflows.

Avo Reinapمشاهده پروفایل

مدرس ارشد

• Design for Manufacturability
• Finite Element Modeling
• Electromagnetics
• +۸ مورد دیگر

Avo Reinap is a Senior Lecturer at the Division for Industrial Electrical Engineering and Automation within the Faculty of Engineering at Lund University. With over 25 years of research experience, his work focuses on design for manufacturability of electrical machines, actuators, and transformers, integrating finite element modeling, thermal analysis, and system reliability. Core expertise in electromagnetics, fluid dynamics, and high voltage engineering Contributing to UN Sustainable Development Goals: Affordable Energy (SDG 7), Industry Innovation (SDG 9), Climate Action (SDG 13) Active in experimental validation and simulation of electric drive systems His research output includes 87 publications with 10 supervised works, focusing on permanent magnet synchronous motors, core loss modeling, and cooling systems optimization. Collaborations span multiple engineering disciplines including mechanical, electrical, and energy systems.

Pierre Haessigمشاهده پروفایل

پژوهشگر

• Energy Management
• Dynamic Optimization
• Stochastic Optimization
• +۳ مورد دیگر

Pierre Haessig is a researcher and teacher at CentraleSupélec's Rennes campus, part of the Automation Team within the Rennes Institute of Electronics and Telecommunications (IETR). His work focuses on optimal energy management of storage systems (batteries) integrated with renewable energy sources like wind and photovoltaic. Research addresses uncertainties in energy inputs, such as solar variability and load fluctuations, using stochastic optimization techniques. He teaches Automation and Electrical Engineering in engineering programs. Affiliations: CentraleSupélec, IETR (Rennes) Key Research Areas: Energy Management, Stochastic Optimization, Renewable Integration, Battery Aging Models His publications (36+) explore topics like microgrid optimization, Kalman filter-based battery state estimation, and the impact of uncertainties on energy systems. He has contributed to open-source benchmarks like Solar Home 2020 and collaborated on projects involving hardware-in-the-loop testing for power electronics. His research emphasizes real-world applications in resilient energy systems and control strategies. Notable contributions include developing convex models for battery aging and advancing methods for anticipative/non-anticipative microgrid sizing. His work bridges theoretical optimization with practical implementations in energy storage and renewable integration.

• Electromagnetic Fields
• Transformation Optics
• Metamaterials
• +۳ مورد دیگر

Giuseppe Castaldi is an Associate Professor in Electromagnetic Fields (ING-INF/02) at the University of Sannio, affiliated with the Faculty of Engineering and the Department of Engineering (DING). His office is located in the Bosco Lucarelli Palace. He holds a Laurea degree in Electronic Engineering from the University of Naples Federico II (1993, summa cum laude ) and a Ph.D. in Applied Electromagnetics from the University of Salerno (1999). His career includes postdoctoral research at the University of Sannio (1999) and TNO Physics and Electronics Laboratory in the Netherlands (2001). His research focuses on electromagnetic theory, transformation optics, metamaterials, and gravitational wave detection. He collaborates with major projects like LIGO and AURIGA, with work spanning antenna diagnostics, cloaking devices, and γ-ray burst analysis. His publications show strong emphasis on wave manipulation, sensor design, and astrophysical data analysis. He teaches courses including Wireless Applications for Automation and Multiphysics Modeling for Electronics Engineering programs. Office hours are held on Wednesdays from 11:00 to 13:00.

• Computational Science
• Numerical Analysis
• Domain Decomposition Methods
• +۷ مورد دیگر

Victorita Dolean Maini is a Visiting Professor in the Department of Mathematics and Statistics at the University of Strathclyde, Faculty of Science. She is actively engaged in research and supervision, with a focus on computational science and numerical methods for partial differential equations. Her work bridges applied mathematics, high-performance computing, and interdisciplinary applications in geophysics, biomedical engineering, and pharmaceutical modeling. University: University of Strathclyde School: Faculty of Science Department: Mathematics and Statistics Academic Rank: Visiting Professor Her research interests center on computational science, particularly in developing mathematical models and algorithms for complex physical systems governed by partial differential equations. She specializes in domain decomposition methods, iterative solvers, and high-performance computing, with recent extensions into scientific machine learning and physics-informed neural networks. Her work emphasizes rigorous analysis and validation of numerical results. The most recent publications highlight a strong trend in robust and scalable numerical methods for multiscale and multiphysics problems. Topics include domain decomposition with GenEO coarse spaces, optimized transmission conditions for diffusion, wave propagation in anisotropic media, and computational epidemiology. These works span disciplines such as applied mathematics, computational physics, geophysics, and biomedical modeling, reflecting a highly interdisciplinary approach. There is a clear emphasis on industrial and real-world applications, including seismic imaging, crystallization processes, and hemodynamic simulations. Scientific awards include: Fellow (awarded 7 September 2020) Prix Bull-Joseph Fourier 2015 (awarded 12 April 2016) She has been a co-investigator and principal investigator on multiple research grants, including projects like PharmaCrystNet, Fast solvers for frequency domain wave-scattering, and Blood flow dynamics in pulmonary hypertension. She actively supervises PhD students and collaborates internationally. She has organized key seminars and workshops, particularly in scientific machine learning and physics-informed learning, contributing significantly to academic community building. She leads and participates in research teams focused on computational modeling, numerical linear algebra, and interdisciplinary applications. Her group collaborates with institutions in physics, engineering, and life sciences, leveraging high-performance computing for large-scale simulations. She is also involved in promoting diversity through initiatives like the Women in Data Science and Mathematics Seminar Series.

Luis E. Zerpaمشاهده پروفایل

دانشیار

• Reservoir Engineering
• Fluid Flow in Porous Media
• Enhanced Oil Recovery
• +۳ مورد دیگر

Luis E. Zerpa is the Harry D. Campbell Endowed Chair in Petroleum Engineering, Associate Department Head, Associate Professor, and Director of the Center for Rock & Fluid Multiphysics at Colorado School of Mines. He joined the institution in April 2013 after serving as an assistant professor at the University of Zulia, Venezuela. His industrial experience includes leading reservoir simulation studies for an offshore chemical EOR pilot project by PDVSA (Venezuelan National Oil Company). Education: PhD in Petroleum Engineering, Colorado School of Mines (2013) M.S. in Mechanical Engineering, University of Zulia (2004) B.S. in Mechanical Engineering, University of Zulia (2001) Research Focus: Dr. Zerpa investigates energy-related subsurface challenges, specializing in reservoir engineering, multiphase fluid behavior in porous media, enhanced hydrocarbon recovery strategies, flow assurance for production systems, and natural gas hydrates as a potential energy resource. His work bridges theoretical modeling and industrial applications. Leadership: He directs the Center for Rock & Fluid Multiphysics, facilitating interdisciplinary research on subsurface processes. Professional Affiliations: Member of the Society of Petroleum Engineers (SPE), American Chemical Society (ACS), and American Society of Mechanical Engineers (ASME).

Antonio Huertaمشاهده پروفایل

استاد

• Numerical Methods
• Mechanics
• Applied Mathematics
• +۴ مورد دیگر

Antonio Huerta is a Professor of Applied Mathematics at the Universitat Politècnica de Catalunya (UPC) and Director of ICREA. He leads the Laboratori de Càlcul Numèric (LaCàN) , focusing on numerical methods for scientific and engineering problems governed by mechanics and interdisciplinary principles. His research spans applied mathematics, computational science, and fluid dynamics. Education : Ph.D. from Northwestern University (1987), preceded by studies at the Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos de Barcelona (1983). His work emphasizes numerical methods , particularly hybridizable discontinuous Galerkin (HDG), finite volume methods, and proper generalized decomposition (PGD), applied to problems in incompressible/compressible flow simulation , fluid-structure interaction , and magneto-mechanical coupling . Recent projects include data-driven design for automotive battery optimization ( GREEN ) and MATLAB-based open-source tools. Key collaborations include co-authoring the textbook Finite Element Methods for Flow Problems with Jean Donea and developing error estimation frameworks for finite element solutions. His publications highlight interdisciplinary applications in mechanics, mathematics, and computer science.

Shirsendu Sikdarمشاهده پروفایل

مدرس

• Structural Health Monitoring
• Nondestructive Evaluation
• Cyber-physical Systems
• +۴ مورد دیگر

Dr. Shirsendu Sikdar (PhD, MRAeS, FHEA) is a Lecturer in Mechanical Engineering at the School of Computing and Engineering, University of Huddersfield, UK. He holds a PhD in Structural Health Monitoring from IIT Bombay and has held research positions at Cardiff University, Ghent University, and Polish Academy of Sciences. Education: PhD (IIT Bombay), MEng (IIT Kharagpur), BEng (Jadavpur University) Research Interests: • Structural Health Monitoring (SHM) for aerospace, automotive, and wind-energy systems using guided waves and acoustic emission. • Cyber-physical systems and digital twins for real-time structural simulation. • NetZero technologies for sustainable monitoring and renewable energy systems. • Active vibration and noise control under variable operational conditions. • Computational modeling of smart materials and composites. Publications & Expertise: With 50+ peer-reviewed publications and an h-index of 18, his work focuses on SHM strategies for composite structures, smart sensing systems, and reduced-order modeling. He has contributed to journals like Scientific Reports and Smart Materials and Structures . Scientific Awards & Roles: Recipient of Marie Curie and EPSRC fellowships, he serves as Associate Editor for ASME Journal of Nondestructive Evaluation and Lead Guest Editor for Buildings and Signals journals. Collaborations & Grants: Active in cross-disciplinary collaborations across Europe, he has secured £0.5M+ in research grants and reviewed for over 20 journals including Nature and IEEE Transactions .