Find Academic Supervisors

• Computational Mechanics
• Non-linear Finite Element Analysis
• Multiscale and Multiphysics Analysis
• +7 more

Dr. Mª Ángeles Pérez Ansón is a Full Professor of Structural Mechanics at the Department of Mechanical Engineering , University of Zaragoza, Spain. She holds a PhD in Computational Mechanics (2004) and has held postdoctoral positions at Trinity College Dublin and École de Technologie Supérieure (Montreal). She is an Associate Director of the Aragón Institute of Engineering Research (I3A) and served as President of the European Society of Biomechanics (2018–2020). Her work focuses on computational biomechanics, bone mechanobiology, and tissue engineering. Education: PhD in Computational Mechanics (2004), University of Zaragoza Research Interests: Her research integrates computational mechanics with biological systems, including bone remodeling, prosthetic design, and osteoporosis prevention. She develops multiscale models to predict fracture risks and optimize treatment strategies. Key Projects: Led initiatives like OSTEO-PREV (osteoporosis fracture prevention) and Curabone (bone regeneration modeling), funded by the EU and Spanish Ministry of Science. Awards: Best Technical Thesis of 2004 (University of Zaragoza) Professional Roles: Coordinator of the Biomedical Engineering Master’s program (2014–2019), and former Deputy Director of the School of Engineering (2009–2010).

• Computational Fluid Dynamics
• Metal Processing
• Renewable Energy Devices (Wind and Tidal)
• +3 more

Dr Nick Croft is a Senior Lecturer in Aerospace Engineering at Swansea University. He is affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering within the Faculty of Science and Engineering. His research focuses on developing efficient computational fluid dynamics (CFD) techniques for real-world engineering problems, particularly in metals processing, renewable energy systems (wind/tidal), and drinking water quality. Dr Croft's work integrates multi-physics modeling with advanced numerical methods, emphasizing the extension of finite volume approaches to unstructured meshes for complex geometries. His expertise spans computational fluid dynamics, electromagnetic induction processing, and multiphysics simulation frameworks. Research highlights include optimizing corrosion control in drinking water systems, tidal turbine performance analysis, and hydrogen embrittlement mechanisms in materials. Dr Croft has supervised PhD projects on fluid-structure interaction, tidal energy systems, and material degradation processes. Publications emphasize CFD applications in renewable energy, metallurgical processes, and environmental engineering. His work bridges academic research with industry challenges, addressing topics like heap leaching efficiency, turbine array optimization, and hydrogen-related material failure. Collaborations include projects with industry partners and academic institutions globally.

• Soft Materials
• Responsive Polymers
• Self-Healing Materials
• +8 more

Dr. Mokarram Hossain is an Associate Professor in Mechanical Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. His research focuses on soft polymeric and functional materials, including responsive gels, self-healing materials, and their applications in renewable energy and biomechanics. He has secured grants for energy harvesting projects and collaborates extensively on magneto-active polymers and 3D printing of soft materials. Research interests span experimental mechanics, computational modeling, and material characterization. Key areas include hydrogel dynamics, magneto-mechanical coupling, and bio-inspired soft robotics. His work integrates numerical methods (e.g., finite element analysis) with material science, addressing challenges in low-carbon energy systems and smart materials. Notable contributions include studies on hydrodynamic complexity in polymers, magneto-rheological elastomers, and thermal-viscoelastic behavior of materials. Collaborations span academia and industry, emphasizing renewable energy applications and sustainable manufacturing. His publications highlight innovations in composite materials and advanced computational frameworks for coupled electromechanical systems.

• Chemical Engineering
• Energy Systems
• Computational Fluid Dynamics (CFD)
• +3 more

Dr. Gordon Ingram is a Senior Lecturer at Curtin University's WASM School of Minerals, Energy and Chemical Engineering within the Faculty of Science and Engineering. His research focuses on chemical processes, energy systems, and computational modeling, with notable work in chemical looping combustion, membrane technology, and multiphase flow dynamics. He actively contributes to industry-relevant projects such as ammonia production optimization and urban sustainability studies. Dr. Ingram has authored over 30 peer-reviewed publications and co-edited book chapters on multiscale modeling and energy technologies. His interdisciplinary approach bridges chemical engineering fundamentals with advanced computational techniques, addressing challenges in resource efficiency and environmental sustainability. He is also involved in curriculum development, integrating professional skills training into engineering education programs. His research explores topics such as dense medium cyclone performance evaluation, feed spacer optimization in RO systems, and SOFC system modeling. He collaborates extensively with industry partners to translate academic findings into practical solutions for energy and water sectors.

• Sustainable Infrastructure
• Concrete Materials
• Structural Engineering
• +7 more

Costanza Anerdi is a Research Fellow at the Department of Environmental, Land, and Infrastructure Engineering (DIATI), Politecnico di Torino. She also serves as an external lecturer and teaching assistant in both DIATI and the Department of Structural, Building and Geotechnical Engineering (DISEG), contributing to multiple engineering programs including Civil, Building, and Environmental Engineering. Her research spans sustainable infrastructure, concrete materials, and data-driven modeling in civil engineering. Key areas include smart concrete technologies , machine learning applications in material design , and innovative concepts such as hemp-fibre concrete for Martian structures . Her work bridges traditional structural engineering with modern computational and sustainable approaches. Recent publications demonstrate a strong trend toward integrating artificial intelligence and multiphysics modeling in both civil and electrical engineering domains, particularly in material optimization and infrastructure sustainability. Her collaborative research focuses on practical applications in construction, transportation, and future space habitats. Scientific Contributions: Co-developer of national patents: SMART & CONCRETE and SMART & CONCRETE 2.0 Active contributor to data-driven modeling in structural and electrical systems Innovative research in green construction materials for terrestrial and extraterrestrial applications She has advised or collaborated on academic projects such as Challenge@PoliTo by Firms - DSS for Sustainable Infrastructure Maintenance . Although no formal students are listed, she has served as a course collaborator in over ten academic offerings across structural design, reinforced concrete, and construction engineering, indicating significant educational involvement. She is actively engaged in research grants and industry-linked projects, particularly those involving sustainable infrastructure and smart materials. Her work is associated with research teams focusing on sustainable construction, structural assessment, and smart materials innovation at Politecnico di Torino.

Carina SchwarzView profile

Researcher

• Computational Mechanics
• Finite Element Methods
• Least-Squares Finite Element Method
• +7 more

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
• +4 more

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 DiehlView profile

Lecturer

• Computational Materials Science
• Crystal Plasticity
• Multi-physics Modeling
• +3 more

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 SteinmannView profile

Professor

• Engineering Mechanics
• Solid Mechanics
• Materials Modeling
• +7 more

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 DuvigneauView profile

Researcher

• Scientific Computing
• Numerical Methods
• Isogeometric Analysis
• +10 more

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 GabbanaView profile

Researcher

• Computational Fluid Dynamics
• Lattice-Boltzmann Method
• Turbulence Modeling
• +3 more

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 SedighiView profile

Professor

• Geotechnical Engineering
• Environmental Engineering
• Geo-materials Engineering
• +7 more

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 StemmerView profile

Professor

• Hypersonic Aerodynamics
• Fluid Mechanics
• Thermal and Chemical Nonequilibrium Flows
• +3 more

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 ReinapView profile

Senior Lecturer

• Design for Manufacturability
• Finite Element Modeling
• Electromagnetics
• +8 more

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 HaessigView profile

Researcher

• Energy Management
• Dynamic Optimization
• Stochastic Optimization
• +3 more

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.