جستجوی استاد راهنمای دانشگاهی

Guillermo Amadorمشاهده پروفایل

استادیار

• Biophysics
• Biomaterials
• Biomechanics
• +۷ مورد دیگر

Dr. Guillermo Amador is an Assistant Professor in the Experimental Zoology department at Wageningen University & Research. His research focuses on understanding how animals interact with complex environments through locomotion, adhesion, and fluid dynamics. He investigates biological systems like insects, plants, and marine organisms to inspire bio-engineered solutions for robotics, microfluidics, and material science. Amador received his PhD in Mechanical Engineering from Georgia Institute of Technology (USA), followed by postdoctoral research at the Max Planck Institute for Intelligent Systems (Germany) and a Marie Sklodowska-Curie fellowship at TU Delft (Netherlands). His expertise spans biophysics, biomaterials, and biomechanics, with a focus on self-cleaning mechanisms and bioadhesion. He collaborates with the 4TU consortium on Dutch Soft Robotics to develop bio-inspired designs. His work bridges fundamental biology with engineering applications, emphasizing interdisciplinary approaches to solve challenges in robotics and environmental science. Amador teaches courses including Biomimetics and Functional Zoology , integrating his research into education. His research highlights include studies on cuttlefish suction cups, stick insect adhesion, and pollen transport mechanisms in pollinators.

Ron H.J. Peerlingsمشاهده پروفایل

دانشیار

• Micromechanics
• Micro-plasticity
• Multiscale modelling
• +۷ مورد دیگر

Ron H.J. Peerlings is Associate Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e) , where he leads the Mechanics of Materials research group. Promoted to Associate Professor in 2007 after joining as Assistant Professor in 2000, he has built an extensive portfolio in theoretical and computational mechanics of materials. Education: PhD (1999) – Eindhoven University of Technology, thesis: Enhanced damage modelling for fracture and fatigue Post-doctoral research (1999–2000) – University of Cambridge, Engineering Department Research interests revolve around micromechanics , micro-plasticity , multiscale modelling , homogenisation , damage and fracture , and enriched continuum theories . His work spans advanced high-strength steels, composites, paper and fibrous networks, with strong emphasis on coupling rigorous theoretical developments to industrially motivated problems. His recent publications (2023-2025) demonstrate a clear trajectory towards integrating advanced experimental techniques (e.g., digital image correlation, micro-mechanical testing) with high-fidelity computational frameworks such as crystal-plasticity finite-element modelling, FFT-based solvers and micromorphic homogenisation. Dominant themes include: Deformation and fracture in lath martensite and dual-phase steels Hygro-mechanics of paper and fibrous networks Pattern-transforming mechanical metamaterials Discrete-to-continuum scale bridging methods Scientific awards are not explicitly listed in the provided material; however, his prolific output (294 research items, >6500 citations) attests to significant peer recognition. Teaching & supervision: He delivers courses on Computational Mechanics – Numerical Methods for Fluids and Solids and Fracture Mechanics – Theory and Application , and has supervised >80 student works and numerous PhD candidates whose names appear on joint publications. Laboratory & teams: He heads the Group Peerlings within the Mechanics of Materials cluster, maintaining close collaboration with the Mechanics of Materials Group Geers and extensive national/international experimental and computational networks.

Maarten Hornikxمشاهده پروفایل

استاد

• Building Acoustics
• Computational Sound Propagation Modeling
• Mixed Reality Sound Reproduction
• +۴ مورد دیگر

Maarten Hornikx is a Full Professor in Building Acoustics at the Department of the Built Environment , Eindhoven University of Technology. He serves as Vice-Dean of the department, leads the Building Acoustics Chair of Unit Building Physics and Services (BPS), and coordinates the Science of Sound and Music course series since 2013. His research focuses on computational modeling of sound propagation in built environments, with applications in mixed reality platforms and numerical analysis of outdoor/indoor propagation effects like vegetation and meteorological influences. Education : PhD in Applied Acoustics (Chalmers University of Technology, 2009); MSc in Architecture, Building and Planning (2004) Hornikx promotes open research software in acoustics and has received multiple grants, including Marie Curie Individual and Career Integration Grants. His recent publications explore AI-driven diffusion equation modeling, acoustic absorber optimization, and advanced numerical methods like the discontinuous Galerkin technique. He has held international leadership roles, including chairing the Computational Acoustics Technical Committee of the European Acoustics Association and serving as Associate Editor for Acta Acustica . Scientific Awards : Marie Curie Fellowship (2009-2011); Marie Curie Career Integration Grant (2012); 4TU.Built Environment Center Scientific Director (2020-2021); eScience Center Fellow (2022) As a research leader, Hornikx guided the H2020-ITN Acoutect project and conducted sabbaticals at Aalto University, Stockholm University (2018), and Politecnico Torino (2022). His group emphasizes computational acoustics and open-source tools to enhance reproducibility and collaboration.

Matthias Schlottbomمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Mathematics
• Radiative Transfer
• +۴ مورد دیگر

Matthias Schlottbom is an Associate Professor specializing in Mathematics of Computational Science, with a focus on numerical methods and their applications in physics, biology, and engineering. His research integrates advanced computational techniques with interdisciplinary problems, including radiative transfer, photonic crystals, and chemotaxis modeling. Research Interests: Schlottbom’s work spans numerical analysis, finite element methods, and machine learning. He develops high-order discretization schemes, iterative solvers for anisotropic transport, and mathematical frameworks for biological network formation. Publications: Recent articles highlight his contributions to accelerating radiative transfer simulations, extending component mode synthesis for Helmholtz equations, and analyzing diffusion limits in kinetic models. His work often bridges computational mathematics with practical applications in photonics and multiscale systems. Collaborations: He actively collaborates on datasets for optical simulations, radiative transfer algorithms, and photonic crystal modeling, contributing to open-access repositories like 4TU.Centre and Zenodo. Activities: Schlottbom has organized workshops such as the Kinetic Theory Workshop in the Netherlands and delivered keynotes on residual minimization and data-driven methods for transport equations. Scientific Awards: No specific awards or fellowships are mentioned in the provided materials. Advising & Grants: Details about students, advising roles, or grant funding are not included in the available data.

Martin Rohdeمشاهده پروفایل

استاد

• Nuclear Reactor Technology
• Molten Salt Reactors
• Transport Phenomena
• +۵ مورد دیگر

Dr. Martin Rohde is a Professor and Group Leader at the Radiation Science & Technology department within the Faculty of Applied Sciences at Delft University of Technology (TU Delft) in the Netherlands. He leads the Transport Phenomena & Nuclear Applications research group, focusing on advanced nuclear reactor technologies, particularly molten salt reactors, and their associated transport phenomena. Professor Rohde's research interests span across several critical areas in nuclear engineering and fluid dynamics. His work primarily focuses on understanding transport phenomena in nuclear applications, with particular emphasis on molten salt reactors for sustainable and safe nuclear power generation, innovative production techniques of medical isotopes, and advanced energy storage systems like flow batteries. His research group actively investigates complex physical phenomena occurring under extreme conditions such as high pressures, high temperatures, and interactions with radioactive processes. His publication record demonstrates a strong focus on computational methods for nuclear applications, particularly the Lattice Boltzmann Method (LBM), which is used to model fluid flow, heat transfer, and phase change phenomena in nuclear systems. Recent work has concentrated on freezing and melting processes in molten salt reactors, microfluidic separation techniques for medical isotopes, and advanced modeling of flow batteries. His research shows a clear progression toward increasingly sophisticated numerical methods applied to real-world nuclear engineering challenges. Professor Rohde has secured significant funding through multiple European Commission projects including ENDURANCE, MIMOSA, and ReZilient, demonstrating the international recognition of his research. He has supervised numerous PhD and MSc students, many of whom have gone on to complete theses on topics related to molten salt reactors, microfluidics, and flow battery technology. His research group includes several technicians, post-doctoral researchers, and PhD candidates working collaboratively on cutting-edge nuclear technology. The Transport Phenomena & Nuclear Applications laboratory operates several specialized facilities including the ESPRESSO facility for measuring melting and solidification under convective boundaries, and experimental setups for studying molten salt behavior, microfluidic purification, and flow battery technology. The group maintains strong collaborations with international partners including TRIUMF (Canada), NRG, and URENCO (The Netherlands).

Coen H.H.M. Custersمشاهده پروفایل

پژوهشگر

• Electrical Engineering
• Power Electronics
• Electromechanics
• +۴ مورد دیگر

Coen H.H.M. Custers is a Researcher at Eindhoven University of Technology (TU/e), affiliated with the Department of Electromechanics and Power Electronics within the College of Electrical Engineering, Mathematics and Computer Science. His work focuses on electromechanical systems, magnetic materials, and actuator design, contributing to UN Sustainable Development Goals related to sustainable energy and industrial innovation. Education: MSc and PhD in Electrical Engineering from TU Eindhoven. His research emphasizes advanced modeling techniques such as harmonic analysis and finite element methods, particularly in segmented structures and solid-state transformers. He has collaborated on projects like the Impuls II Long Stroke synchronous reluctance actuator (2016–2022) and the Nanometer-accurate planar actuation system (2015–2019), both as a project member. Research interests include improving precision in planar motor systems, reducing eddy currents in conducting structures, and advancing solid-state transformer technology. His publications highlight contributions to control systems, magnetic levitation, and semi-analytical modeling approaches. He has advised M. Kleijer on a conference contribution. His work has been recognized by 61 total citations (Scopus) and he is active in the Electromechanics Lab, focusing on interdisciplinary projects involving electromagnetic design and mechanical deformation.

L.J. Sluysمشاهده پروفایل

استاد

• Computational Mechanics
• Computational Mechanics of Materials
• Modelling of Failure Processes
• +۱۲ مورد دیگر

Professor L.J. Sluys is a Full Professor and Chair of Computational Mechanics at the Faculty of Civil Engineering and Geosciences, Delft University of Technology (TU Delft). He has been a leading figure in computational mechanics since 1999, heading the Computational Mechanics group and serving as head of the Department of Materials, Mechanics, Management and Design (3MD) from 2018 to 2024. His research is centered on the computational modeling of material behavior, particularly focusing on failure processes and high-performance materials. His research interests include computational mechanics of materials, modeling of failure and fracture processes, multi-scale methods, and the computational modeling of high-performance materials such as composites and concrete. He employs advanced numerical techniques including the finite element method, extended finite element method (XFEM), level-set methods, and cohesive zone modeling to simulate complex mechanical behaviors under static and dynamic loading conditions. His work spans civil, mechanical, and materials engineering domains, with applications in infrastructure, energy, and sustainable materials. The recent publications highlight a strong trend in modeling fracture, fatigue, and degradation in heterogeneous materials such as composites, concrete, and geological formations. His work integrates multi-physics and multi-scale approaches, often coupling mechanical, thermal, and chemical effects. There is a consistent focus on numerical robustness, model validation, and the development of adaptive computational frameworks for simulating progressive damage and failure. Research Fellow of the Netherlands Academy of Arts and Sciences (KNAW) Professor Sluys has taught core courses such as Introduction to the Finite Element Method and Computational Methods in Non-linear Solid Mechanics for over a decade, indicating a strong commitment to academic education. He has supervised numerous students, though specific names are not listed in the provided texts. He leads an active research group in computational mechanics, contributing to both fundamental and applied research in solid mechanics. His work involves collaboration with international institutions and industry partners, particularly in the areas of infrastructure durability and advanced materials.

• Hydraulic Engineering
• Coastal Morphology
• Flood Risk Management
• +۳ مورد دیگر

Prof. Suzanne J.M.H. Hulscher is a Full Professor in Water Systems at the University of Twente, specializing in fluvial and coastal morphodynamics. Her research focuses on flood risk management, sediment dynamics, and climate adaptation. She has contributed to over 845 publications and supervised 55 research projects, including Vera van Bergeijk's PhD work on overtopping flows. Key achievements include the Simon Stevin Meester award (2016) and multiple best paper awards. Her work addresses UN Sustainable Development Goals through studies on saltwater intrusion, dike breach modeling, and nature-based solutions. Research highlights include hydraulic model calibration, estuarine sand wave dynamics, and vegetation effects on hydrodynamics. She actively contributes to editorial roles (CivilEng Journal) and policy advisory bodies (Wetenschappelijke Raad). Her interdisciplinary efforts bridge engineering, ecology, and climate science. Research areas: Coastal morphology, river dynamics, environmental hydraulics Key collaborations: 4TU.Centre for Research Data, IAHR, Netherlands Academy of Engineering Grants: Not explicitly listed, but extensive publications imply significant funding Her lab focuses on combining field data with numerical modeling for real-world applications like flood dashboard development and machine learning-based prediction systems. Current projects explore climate change impacts on engineered estuaries and distributive justice in climate policy.

Stan F.S.P. Looijmansمشاهده پروفایل

استادیار

• Semi-crystalline materials
• Polymer processing
• Crystallization kinetics
• +۴ مورد دیگر

Stan F.S.P. Looijmans is an Assistant Professor at the Processing and Performance of Materials group within the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on bridging the gap between processing-induced structure formation and mechanical properties in semi-crystalline polymers, with a particular emphasis on advanced characterization techniques and multiscale modeling. Academic Background : BSc and MSc in Mechanical Engineering (TU/e), PhD in 2023 on adhesion-modified polypropylene composites Research Tools : Synchrotron X-ray/infrared radiation, microscale mechanical testing, numerical simulations His work explores key areas such as: Crystallization in additive manufacturing Structure formation under extreme conditions Micromechanical testing of composites Contact mechanics phenomena Local failure prediction in semi-crystalline systems Recent publications highlight his expertise in polymer crystallization kinetics, fiber-reinforced composites, and processing-structure-property relationships. Notably, his 2025 work on PLA stereocomplexation and PP/HDPE blends demonstrates innovative approaches to microstructure engineering. He contributes to education through courses in mechanical characterization of materials and soft materials processing.

Bert Snijderمشاهده پروفایل

استاد

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

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

Peter H.M. Bovendeerdمشاهده پروفایل

استادیار

• Cardiovascular Biomechanics
• Mathematical Modeling in Clinical Data
• Cardiac Electromechanics
• +۵ مورد دیگر

Peter H.M. Bovendeerd is an Assistant Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), specializing in the Cardiovascular Biomechanics research group. He holds affiliations with the Eindhoven MedTech Innovation Center and EAISI Health. His work focuses on developing mathematical models to interpret clinical patient data, particularly in cardiac electromechanics, perioperative monitoring, and perinatal monitoring, collaborating with Catharina Hospital and Máxima Medical Center. Academically, Bovendeerd earned his MSc in Applied Physics (cum laude, 1985) and PhD (1990) from TU/e and Maastricht University, respectively. His research integrates fundamental physical/physiological principles to estimate pathologies from patient data through inverse modeling, aiding diagnosis and treatment planning. He teaches courses including Biomechanics, Cardiac Function, and Continuum Mechanics. Recent research emphasizes fetal blood circulation modeling, cardiac mechanics frameworks, and post-infarct ventricular function. His work contributes to UN Sustainable Development Goals through advancements in healthcare technology and innovation.

Soheil Solhjooمشاهده پروفایل

استادیار

• Materials Science
• Multidisciplinary Engineering
• Mechanical Metallurgy
• +۵ مورد دیگر

Dr. Soheil Solhjoo is an Assistant Professor at the University of Groningen (UG) within the Engineering Systems and Design (ESD) group, part of the Engineering and Technology Institute Groningen (ENTEG) at the Faculty of Science and Engineering. His research focuses on model-based engineering design, physics-based deep learning, and digital twins, with expertise in constitutive modeling, molecular dynamics simulations, contact mechanics, and physics-informed neural networks. Prior to UG, he conducted postdoctoral research in European projects like VMAP and UPSIM, contributing to multiscale material modeling and hyperelastic material development for soft biological tissues. He holds a PhD from the University of Groningen (2017), where his thesis addressed nanotribological studies, including contact area measurement in atomistic simulations and continuum mechanics applications in nanocontacts. Academic Role: Assistant Professor (since 2024) Institution: University of Groningen Department: Engineering Systems and Design (ESD) Research Interests Dr. Solhjoo's research spans materials science and mechanical engineering, emphasizing: Constitutive modeling of metallic materials Molecular dynamics and statics simulations Contact mechanics at atomic and macro scales Integration of physics-based principles into neural networks Multiscale material characterization Publications Trends His articles predominantly address material deformation mechanisms, constitutive model validation, and nanoscale contact analysis. Key themes include hot deformation behavior of metals, computational methods for material characterization (e.g., HDFT tool), and bridging atomistic simulations with continuum mechanics. Awards & Grants No specific awards listed, but contributions to collaborative EU projects (VMAP, UPSIM) highlight his grant-funded research activities. Actively involved in educational grants for mechanical and industrial engineering curriculum innovation. Labs & Teams Part of the ESD group and ENTEG, collaborating with academic and industrial partners in EU frameworks. Maintains a research portal with open-access tools like the Hot Deformation Fitting Tool (HDFT).

Victorita Dolean-Mainiمشاهده پروفایل

استاد

• Domain Decomposition Methods
• High Performance Computing
• Wave Propagation
• +۲ مورد دیگر

Victorita Dolean-Maini is Professor at University of Strathclyde and Visiting Professor at University of Strathclyde (2023-2026). She specializes in domain decomposition methods for PDEs, high-performance computing, and scientific machine learning. Her work develops fast algorithms for wave propagation problems and complex systems. She co-authored the reference work 'Domain Decomposition Methods' (SIAM 2015) and received the Bull-Joseph Fourier Prize for stroke simulation using HPC. Current research explores physics-informed neural networks with domain decomposition architectures and their application to medical digital twins. She serves on the editorial board of SIAM Journal on Scientific Computing and collaborates with industrial partners on scientific machine learning projects. Recent publications focus on neural network architectures combining domain decomposition with physics-informed learning, multilevel methods, and efficient coarse spaces for partial differential equations.

Melvin Wongمشاهده پروفایل

استادیار

• Transportation Engineering
• Machine Learning
• Urban Mobility
• +۲ مورد دیگر

Melvin Wong is an Assistant Professor in the Department of Urban Planning and Transportation within the Built Environment school at Eindhoven University of Technology. His research focuses on transportation engineering, machine learning applications in urban mobility, reinforcement learning for traffic systems, and sustainable transportation solutions. He utilizes advanced computational methods including graph neural networks, generative AI, and physics-informed models to address challenges in traffic prediction, electric vehicle infrastructure, and urban design. His research interests encompass transportation optimization, spatiotemporal modeling, generative design methods, and behavioral analysis in urban systems. Recent publications demonstrate a strong focus on AI-driven solutions for traffic management, battery-swapping systems, and multimodal design optimization. Dr. Wong has received recognition including the Best Research Paper Award (2024) and Swiss Government Excellence Scholarship (2020). He contributes to academic activities through conference presentations, peer reviews, and course development in urban mobility and big data analytics.

Clemens V. Verhooselمشاهده پروفایل

دانشیار

• Computational Mechanics
• Isogeometric Analysis
• Fluid Dynamics
• +۵ مورد دیگر

Clemens V. Verhoosel is an Associate Professor in Computational Methods for Model- and Data-Driven Engineering at Eindhoven University of Technology (TU/e). He holds positions in the Department of Mechanical Engineering under the Energy Technology and Fluid Dynamics section, and is affiliated with the EAISI Foundational initiative. His research focuses on scan-based immersed isogeometric analysis, uncertainty quantification, and Bayesian inference for complex engineering problems. He leads the Group Verhoosel and manages the Engineering Mechanics Graduate School since 2018. Education: MSc (Aerospace Engineering, TU Delft, 2005, cum laude PhD, TU Delft, 2009). Postdoctoral research at University of Texas at Austin (2009-2010). Awarded NWO VENI Grant (2011). Research interests include numerical methods for solid mechanics, fluid dynamics, coupled problems, and applications in biomedical engineering (e.g., cardiac mechanics). He develops open-source tools like the Nutils toolkit and collaborates with industry partners such as Evalf Computing. Key contributions include isogeometric analysis for fracture mechanics, phase-field models, and mesh-free simulation workflows. Honors: NWO Veni Award (2011). Teaching includes Advanced Discretization Techniques and Scientific Computing courses. Active in professional activities, including invited talks on cardiac mechanics and computational methods.