Find Academic Supervisors

• Computational Mechanics
• Fluid-Structure Interaction
• Solid Dynamics
• +12 more

Professor Antonio Gil is a faculty member at Swansea University within the Faculty of Science and Engineering , specifically in the Department of Civil Engineering . He graduated magna cum laude from the University of Granada (Spain) in 1999 and earned his PhD in computational analysis of non-linear structural membranes at Swansea University in 2005, winning the UK Society for Computational Mechanics best PhD paper in 2004. Education: Ingeniero de Caminos, Canales y Puertos (University of Granada, 1999); MSc in Computational Mechanics; PhD in Computational Mechanics (Swansea University, 2005) Research Interests span Computational Mechanics , Fluid-Structure Interaction , Finite Strain Modeling , and Soft Robotics , with a focus on physics-informed machine learning and multi-physics simulations. His work addresses challenges in electromechanical systems , cardiac mechanics , and high-strain dynamics . Recent Publications highlight advancements in SPH algorithms , topology optimization , and hyperelastic metamodels , reflecting his leadership in numerical methods and material modeling . These contributions have been recognized by prestigious awards including the Philip Leverhulme Award (2011) and the Olgierd Cecil Zienkiewicz Award (2016) . Scientific Awards: UK Philip Leverhulme Award (2011) Olgierd Cecil Zienkiewicz Award (2016) 1st National Award (Spanish Ministry of Education, 2000) Grants include coordination of the Erasmus Mundus PhD Program and leadership in H2020 Marie Curie ETN projects with budgets exceeding €6M. His supervision covers PhD projects in soft robotics , computational fracture , and MRI scanner design .

Arris TijsselingView profile

Associate Professor

• Fluid Dynamics
• Computational Fluid Dynamics
• Pipeline Systems
• +3 more

Arris Tijsseling is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Department of Mathematics and Computer Science. His research focuses on fluid transients, computational fluid dynamics, and multiphase flow modeling with applications in pipeline systems. He has contributed to advanced numerical methods like smoothed particle hydrodynamics (SPH) and fluid-structure interaction (FSI) analysis. Notable work includes Lagrangian particle models for transient pipe flows and studies on manhole cover dynamics. His teaching responsibilities include courses on computational science and calculus. Key research themes involve transient flow analysis in pipelines with moving boundaries, cavitation effects in pumps, and structural responses under fluid-induced loads. His work bridges theoretical fluid dynamics with experimental validation, as seen in large-scale pipeline filling/emptying experiments. Collaborative efforts span international teams, addressing challenges in pipeline safety and computational efficiency. Publications highlight innovations in SPH for multiphase flows, hybrid numerical schemes for transient flows, and historical contributions to fluid mechanics. His research often emphasizes practical engineering applications, such as improving pump models and understanding wavefront behavior in fluid systems.

Shayan RamezanzadehView profile

Assistant Professor

• Meshless Computational Fluid Dynamics
• Smoothed Particle Hydrodynamics
• Fluid-Structure Interactions
• +3 more

Dr. Shayan Ramezanzadeh is an Assistant Professor at the Faculty of Aviation and Aeronautical Sciences, Özyeğin University. Since May 2024, he has focused on computational fluid dynamics, fluid-structure interactions, and advanced manufacturing technologies for aerospace applications. B.Sc. in Mechanical Engineering (Thermal & Fluids), Azarbaijan Shahid Madani University, 2014 M.Sc. in Mechanical Engineering (Powertrain Systems), Tabriz University, 2017 Ph.D. in Manufacturing Engineering, Sabanci University, 2023 His research integrates meshless methods like Smoothed Particle Hydrodynamics (SPH) for simulating fluid dynamics and wave energy systems, alongside innovative composite and additive manufacturing techniques for aerospace structures. He also contributed to TÜBİTAK-funded R&D projects during his Ph.D. Sabanci University full scholarship recipient Prior to joining Özyeğin University, Dr. Ramezanzadeh served as a Lecturer at UCNA University, a Teaching/Research Assistant at Sabanci University (2017–2023), and a Senior Expert Research Engineer in a leading aerospace company's R&D team (2021–2023).

Zhilang ZhangView profile

Professor

• Computational Mechanics
• Numerical Simulation
• Advanced Manufacturing
• +3 more

Dr. Zhilang Zhang is a Professor at ETH Zurich, holding the Professorship for Advanced Manufacturing within the Department of New Manufacturing Technologies. His research focuses on computational mechanics, numerical simulation methods (SPH, FEM), advanced manufacturing processes, and process modeling. He specializes in high-fidelity modeling of complex phenomena such as additive manufacturing, material sintering, and fluid-structure interactions. Key research areas include multiscale modeling, CFD-DEM coupling, and novel numerical methods for extreme mechanics problems. His work integrates advanced computational techniques with experimental validations, addressing challenges in manufacturing, materials science, and fluid dynamics. Recent projects involve operando synchrotron tomography for melt pool analysis and parallelized SPH frameworks for large-scale simulations. Notable contributions include developing the Direct FE2 method for multiscale simulations and improving hydroelastic modeling via meshless methods. He actively explores applications of physics-informed neural networks and surrogate models in engineering optimization. His research group collaborates on cutting-edge projects at the intersection of computational engineering and advanced manufacturing, with a focus on sustainable and high-performance materials processing.

Handan LiuView profile

Teaching Professor

• High-Performance Computing
• Artificial Intelligence
• Machine Learning
• +5 more

Handan Liu is a Teaching Professor in the Multidisciplinary Graduate Engineering Programs at Northeastern University, specializing in High-Performance Computing for AI, scalable machine learning, and large language models. With over 20 years of combined industry and academic experience, she integrates practical insights from her work at NASA, the US Air Force, and as a software engineer into her teaching and research. Her educational background includes: Ph.D. from Shanghai Jiao Tong University Dr. Liu's research centers on advancing AI through high-performance computing, with a focus on efficient scaling of large language models via quantization and parameter-efficient fine-tuning (PEFT). She also explores reasoning capabilities, cognitive aspects, and multimodal learning to enhance AI systems. Her work bridges theoretical algorithms and real-world applications in distributed environments. Her publication history shows an evolution from computational fluid dynamics and aerospace engineering (2008-2011) to biomedical applications (2008-2009), and now to AI and HPC (2014-2025). Recent work emphasizes educational integration of parallel computing in AI, reflecting her commitment to preparing students for industry demands. No major scientific awards are listed in the provided information. Dr. Liu mentors graduate students through course projects and research, developing unique curricula that merge HPC with AI. Her leadership in building Northeastern's HPC clusters since 2015 provides critical infrastructure for student research. Past collaborations with government agencies indicate a strong grant history, though current funding details are not specified. She has been instrumental in establishing Northeastern University's HPC clusters, creating a robust computational environment that supports interdisciplinary research in engineering and data science.

• Nuclear Engineering
• Reactor Physics
• Fuel Performance
• +2 more

Akifumi Yamaji is a Professor at Waseda University 's Faculty of Science and Engineering, with a distinguished career in nuclear engineering and reactor physics. His work focuses on severe accident analysis , fuel performance , and advanced reactor design , particularly for supercritical water-cooled reactors and fast breeder reactors . He leads projects using the Moving Particle Semi-implicit (MPS) method for simulating molten core behavior and debris interactions. Education: Ph.D. from the University of Tokyo's Department of Quantum Engineering and Systems Science. Awards: Waseda University Teaching Award (2020), Atomic Energy Society of Japan Thermal Hydraulics Division Award (2018), JNST Most Cited Article Award (2013), and AESJ Emerging Technology Award (2007). Research Interests span reactor physics, accident tolerant fuels, computational fluid dynamics, and molten corium behavior during severe accidents. His studies often integrate experimental validation with advanced numerical methods to improve reactor safety and performance. Key Article Trends show extensive use of the MPS method for simulating corium spreading , debris cooling , and fuel cladding performance . Topics include supercritical water reactors , FeCrAl-ODS alloy development , and Fukushima Daiichi accident progression modeling . Scientific Awards Waseda University Teaching Award (2020) Atomic Energy Society of Japan Thermal Hydraulics Division Award (2018) JNST Most Cited Article Award (2013) Atomic Energy Society of Japan Emerging Technology Award (2007) Professional Leadership includes chairing the Fukushima Daiichi Accident Investigation Subcommittee and serving on the American Nuclear Society Untermeyer Cisler Reactor Technology Medal committee. He contributes to Generation IV International Forum and OECD Nuclear Energy Agency projects.

• Computational Modelling
• Numerical Methods
• Fracture Mechanics
• +3 more

Daniel Millán serves as Professor of Strength of Materials at the Mechanical Engineering Department, School of Industry-Applied Sciences, National University of Cuyo. He concurrently holds leadership positions as Director of the Institute I CAI CONICET-UNCuyo, Director of the Mechanical Engineering Department, Independent Researcher at CONICET, and Head of the MoCCAI research group. His research spans computational modelling and advanced numerical methods for engineering, with core expertise in: High-order phase-field modeling of fracture mechanics in thin-shells Thin-shell flexoelectric metamaterials Automatic data-driven collective variables identification Multiscale mechanobiological modeling of cerebral arteries Cerebral aneurysm morphometry and rupture risk assessment Ultrasonic analysis for additive manufacturing evaluation Analysis of his 2019-2024 publications reveals dominant themes in cerebral aneurysm biomechanics (using Kirchhoff-Love shell theory for patient-specific modeling) and fracture mechanics in thin structures. His work bridges theoretical numerical methods like phase-field modeling with practical applications in biomedical engineering and material science, particularly in ultrasonic characterization of ice composites. As leader of the MoCCAI research group, he directs computational mechanics initiatives focused on developing advanced numerical techniques for solving complex engineering and biomedical problems through interdisciplinary collaboration.

Jianfeng XueView profile

Associate Professor

• Reliability analysis of soil structures
• Behaviour of reinforced soil structure
• Landfill waste behaviour
• +6 more

Associate Professor Jianfeng Xue is a faculty member in the School of Engineering and Technology at the University of New South Wales (UNSW) Canberra. He holds the position of Associate Professor in Geotechnical Engineering and is a Fellow member and Chartered Professional Engineer accredited by the Institution of Engineers Australia. With extensive experience in both academia and industry, Professor Xue previously worked at Coffey Geotechnics (Perth), Tongji University, Monash University, and Federation University Australia before joining UNSW Canberra. Professor Xue completed his PhD at University College Dublin in 2007. His educational background has provided a strong foundation for his research and teaching career in geotechnical engineering. Professor Xue's research spans multiple critical areas in geotechnical engineering with a focus on practical applications. His work addresses fundamental challenges in soil mechanics, foundation engineering, and sustainable infrastructure development. He has made significant contributions to understanding soil-structure interaction, reinforced soil systems, and the behavior of landfill waste materials. His research integrates advanced computational methods with experimental approaches to solve complex geotechnical problems. Recent publications demonstrate his continued leadership in areas such as geogrid-reinforced pavements, sustainable construction materials, and numerical modeling of soil behavior under various loading conditions. Chartered Professional Engineer, Institution of Engineers Australia (2014-present) Fellow, Institution of Engineers Australia (2019) Committee member, Institution of Engineers Australia, ACT Civil/Structural Branch (2017-present) Member, International Society for Soil Mechanics and Geotechnical Engineering Secretary, Australian Geomechanics Society, ACT group (2019) Professor Xue actively supervises PhD students including CHAI Fei (focusing on pile capacity estimation using CPT database), XIAO Li (improving pavement performance with geogrid reinforced asphalt), Ziheng Wang (cyclic behavior of reinforced soils), and others. His research portfolio includes significant grants from the Australian Research Council and industry partners, totaling over $1.5 million in the past five years. His laboratory is well-equipped with modern geotechnical testing facilities including monotonic and cyclic triaxial cells, unsaturated triaxial equipment, and large direct shear boxes. He also has access to advanced computational tools including Abaqus, ANSYS, FLAC, Plaxis, and discrete element modeling software.

Marianne Gjestvold OmangView profile

Adjunct Professor

• Shock Physics
• Numerical Simulations
• Astrophysics
• +3 more

Marianne Gjestvold Omang is an Adjunct Professor at the Rosseland Centre for Solar Physics, University of Oslo. Her research focuses on shock physics, numerical simulations using Smoothed Particle Hydrodynamics (SPH), and multiphase systems. She holds a Cand. Scient in Astronomy (1994) and a PhD in Astronomy (2005), both from the University of Oslo. Her work emphasizes shock interactions with reactive particles, combustion models, and computational methods for fluid dynamics. Recent publications include studies on shock-induced cloud ignition, low-temperature particle ignition, and cylindrical geometry simulations. She collaborates on projects involving shock tube facilities and particle dynamics, contributing to advancements in SPH methodology and multi-phase flow analysis. Publications span experimental and numerical investigations, with a focus on shock wave phenomena, MHD applications, and algorithmic improvements in computational physics. No scientific awards are explicitly listed, but her extensive contributions to computational astrophysics are notable.

• Mechanics
• Modelling
• Optimization
• +5 more

Dr. Zhangming Wu is a Senior Lecturer in the School of Engineering at Cardiff University. His research focuses on Mechanics, Modelling, and Optimization, with applications in Mechanical, Renewable Energy, Biomedical Engineering, Sustainable Transport, and Civil Engineering. He leads several research projects funded by organizations such as the Royal Society, EU MSCA-COFUND, and EPSRC. Dr. Wu's work includes developing novel intelligent distributive sensing systems and advanced meshless methods for composite structures. He has received awards including the Best Paper of ASC and the Harry Hilton Structures Paper Award. His research interests span structural optimization, bio-inspired designs, and smart sensing technologies. He supervises PhD students in areas like multiscale lattice structures and topology optimization. Education: PhD in Mechanical Engineering from Aston University (2010), MEng and BEng from University of Science and Technology Beijing (2006 and 2003). Research Projects: Includes projects on distributive sensing systems, complex variable meshless methods, and phase-field digital twin frameworks. Key grants total over £1M, covering topics like composite structural safety evaluation and robust topology optimization. Awards: Best Paper of ASC, Harry Hilton Structures Paper Award Grants: Royal Society (£132,570), EPSRC (£187,096), MSCA grants (€276K+) Labs/Teams: M2O Research Lab (website: m2olab.uk ) Teaching modules include Solid Mechanics, Engineering Optimization with Python, and Mechanical Engineering Labs. He is actively involved in journal reviewing and conference organizing.

Phu NguyenView profile

Lecturer

• Computational Mechanics
• Phase-field Fracture
• Multiscale Modeling
• +5 more

Dr. Phu Nguyen is a Lecturer in Structural Engineering at Monash University's Department of Civil and Environmental Engineering. He holds a PhD in Computational Mechanics from Delft University of Technology (2011) and has held academic positions at Johns Hopkins University, Cardiff University, and the University of Adelaide before joining Monash in 2016. His expertise spans computational mechanics, phase-field fracture modeling, and multiscale material analysis. Education: Bachelor of Science in Civil Engineering, Hochiminh University of Technology (1998) Master of Science in Computational Mechanics, University of Liège (2005) PhD in Computational Mechanics, Delft University of Technology (2011) Research Interests: Focuses on computational modeling of failure in quasi-brittle materials (concrete, composites) using advanced numerical methods such as phase-field fracture, material point method (MPM), isogeometric analysis, and multiscale homogenization. Active in developing open-source computational tools like MPMat and Karamelo . Publications: Over 78 peer-reviewed articles, including highly cited works on meshless methods, phase-field fracture, and computational homogenization. Notable contributions to journals like Computer Methods in Applied Mechanics and Engineering and Engineering Fracture Mechanics . Awards: ARC DECRA Fellowship (2016–2019) Best PhD Presentation Award (2010) CIFRE Scholarship Most Cited Article in Advances in Applied Mechanics (2025) Grants & Supervision: Leads research projects on hydraulic fracturing and composite failure. Supervised PhD student Tushar K Mandal. Active in teaching courses like CIV4235 (Advanced Structural Design) and CIV3284 (Concrete and Masonry Structures). Professional Roles: Editorial board member of Engineering Fracture Mechanics , Computers, Materials and Continua , and Computer Modeling in Engineering & Sciences . Reviews for top journals including Computer Methods in Applied Mechanics and Engineering and International Journal of Numerical Methods in Engineering .

Georgios FourtakasView profile

Lecturer

• Meshless Methods
• Computational Fluid Dynamics (CFD)
• Smoothed Particle Hydrodynamics (SPH)
• +5 more

Dr. Georgios Fourtakas is a Lecturer in Civil Engineering at the University of Manchester’s School of Mechanical Aerospace and Civil Engineering. He specializes in meshless methods, computational fluid dynamics (CFD), and smoothed particle hydrodynamics (SPH). His research focuses on advancing SPH formulations for complex fluid-structure interactions, multiphase flows, and high-performance computing (HPC) applications, particularly through the DualSPHysics open-source framework. He holds a PhD from the University of Manchester (2014) and prior industry experience in aeronautical engineering and thermal fluid mechanics. Education: BEng in Aeronautical Engineering, University of Salford MSc in Aeronautical Engineering, Cranfield University MSc in Thermal Power and Fluid Mechanics (Academic Return) PhD in SPH Applications (University of Manchester) Key Research Areas: SPH formulations (Lagrangian, Eulerian-Lagrangian, ALE) GPU/CUDA acceleration for HPC Boundary condition development Non-Newtonian and sediment flows Fluid-structure interaction (e.g., heart valves) His work contributes to UN Sustainable Development Goals through applications in coastal engineering, cardiovascular systems, and nuclear decommissioning. He has reviewed for journals like Advances in Water Resources and Journal of Hydroinformatics . Recent articles highlight innovations in divergence cleaning for SPH, GPU-accelerated thrombus modeling, and poroelasticity simulations. His DualSPHysics project is widely adopted for real-world engineering problems.

• Optimization with PDE constraints
• Radiative Heat Transfer
• Quantum Drift Diffusion
• +4 more

Prof. Dr. René Pinnau is a Full Professor of Industrial Mathematics at the Department of Mathematics, Technische Universität Kaiserslautern. His academic journey includes a Diplom in Technomathematik (1996, TU Berlin), a PhD (1999, Universität Kaiserslautern), and a Habilitation in Mathematics (2004). He previously held positions as Assistant Professor (2000–2004) and Junior Professor (2002–2004) at TU Darmstadt. His research focuses on Optimization with PDE constraints , Radiative Heat Transfer , and Semiconductor Models , with contributions to numerical methods and optimal control. He led the Technomathematik group and served as Dean (2011–2014) and ProDean of the Department of Mathematics at TU Kaiserslautern. His work bridges theoretical mathematics and industrial applications, emphasizing computational and analytical approaches. Publications highlight advancements in quantum drift-diffusion models , model reduction techniques , and parameter identification in thermal processes . Notable books include Optimization with PDE Constraints (Springer, 2009). Recent articles address optimal control in fiber-reinforced materials and self-gravitating particle systems. His affiliations include the European Consortium for Mathematics in Industry (ECMI Council Member, 2010–2018) and leadership roles in academic governance. Current research interests emphasize interdisciplinary applications of mathematics in engineering and physics.

Jens StruckmeierView profile

Professor

• Numerical Analysis
• Computational Fluid Dynamics
• Kinetic Theory
• +3 more

Prof. Jens Struckmeier is a faculty member at the University of Hamburg, holding the position of Professor of Numerics within the Department of Mathematics, Faculty of Mathematics, Computer Science and Natural Sciences. His research focuses on applied mathematics, particularly numerical methods for partial differential equations, computational fluid dynamics, kinetic theory, and optimal control. He has contributed extensively to areas such as particle methods for the Boltzmann equation, finite-volume particle methods for conservation laws, and mathematical modeling of crystallization processes and thermal flows. His work often bridges theoretical developments with industrial applications, such as fire simulations in vehicle tunnels and polymer crystallization studies. Struckmeier's research interests include numerical analysis, kinetic theory, and the development of efficient algorithms for complex systems. He has authored or co-authored numerous publications, including books on hyperbolic partial differential equations and articles in journals like Journal of Computational Physics and Mathematical Models and Methods in Applied Sciences . His work on radiation models for low Mach number flows and optimal control of crystallization processes demonstrates interdisciplinary applications of mathematical modeling. Notable contributions include the finite-volume particle method for moving domains and kinetic schemes for granular flow equations (Savage-Hutter equations). He collaborates widely, with co-authors across institutions, and his research often addresses real-world challenges in engineering and physics. While no specific awards are listed, his sustained academic output reflects significant contributions to numerical mathematics and applied sciences.

M. Reza HashemiView profile

Professor

• Ocean Renewable Energy
• Coastal Resilience
• Hydraulics and Hydrology
• +2 more

M. Reza Hashemi is a Professor of Ocean Engineering at the University of Rhode Island , actively engaged in research related to coastal resilience, ocean renewable energy, and hydrodynamic modeling. He directs the Wave-Current Interaction Laboratory at the Narragansett Bay Campus, focusing on advanced numerical techniques and experimental analysis. Education: Ph.D. in Oceanography, Bangor University of Wales (2014) Ph.D. in Civil/Hydraulic Engineering, Shiraz University (2006) M.S. in Civil Engineering, Shiraz University (1999) B.S. in Civil Engineering, Shiraz University (1997) Research Interests: Dr. Hashemi specializes in numerical modeling of wave-current interactions, storm surge, and sediment transport. His work integrates tools like ROMS, TELEMAC, and machine learning to address coastal hazards, renewable energy systems, and climate change impacts. He applies advanced methods such as Smoothed Particle Hydrodynamics (SPH) and Radial Basis Function-Based Meshless Techniques. Publication Trends: Recent studies emphasize hurricane-induced loads on offshore wind farms, sea-level rise implications for tidal energy, and machine learning applications in hydrological modeling. His collaborations span institutions like the University of Rhode Island, Bristol Channel researchers, and the Gulf of Maine community. Grants: Dr. Hashemi has secured funding from the Department of Energy and coastal management councils, focusing on floating offshore wind farms, groundwater contributions in coastal areas, and dredging impacts on circulation systems.