جست‌وجوی استاد و پژوهشگر

• Fluid Dynamics
• Biomechanics
• Soft Matter Physics
• +۳ مورد دیگر

Dr. HE Mengfei is an Assistant Professor at Southern University of Science and Technology (SUSTech) since 2025, holding dual appointments in the Center for Complex Fluids and Soft Matter Research and the Department of Mechanics and Aerospace Engineering. His research bridges biomechanical and industrial challenges with a focus on fluid instabilities, complex pattern formation, elasticity of slender objects, and coupled phenomena in complex systems. Education: Bachelor's degree from Jilin University (2011); Ph.D. in Physics from the University of Chicago (2019). Research Interests: Dr. He employs experimental and theoretical approaches to uncover fundamental principles in complex systems, emphasizing: Fluid instabilities and nonlinear dynamics Mechanics of soft materials and slender structures Pattern formation in biological and industrial contexts Coupled multiphysical phenomena Affiliation Highlights: Prior to SUSTech, he conducted postdoctoral research at Syracuse University (2019-2023) and Harvard University (2023-2024), where he currently holds a Visiting Fellow position (2024–present).

IVAN MARTINEZ ESTEVEZمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Multiphysics Simulation
• Computer Engineering
• +۳ مورد دیگر

Dr. Ivan Martinez Estevez is a postdoctoral researcher affiliated with the University of Vigo's School of Computer Engineering and Department of Computer Science. His research focuses on computational fluid dynamics and multiphysics simulations, particularly involving the DualSPHysics solver's coupling with multiphysics libraries for real engineering applications. As a member of the FA9 EphysLab research group at the Marine Research Center of the University of Vigo, he works on numerical methods and high-performance computing solutions. His academic contributions center on bridging fluid dynamics simulations with industrial engineering challenges.

Rafael Nogueira Nakashimaمشاهده پروفایل

استادیار

• Thermodynamic system modeling
• Energy integration optimization
• Techno-economic assessment
• +۶ مورد دیگر

Rafael Nogueira Nakashima is an Assistant Professor at the Department of Energy Conversion and Storage , Technical University of Denmark (DTU). His academic work focuses on thermodynamic system modeling, energy integration optimization, and techno-economic assessment of renewable energy technologies, particularly in hydrogen production via electrolysis and Power-to-X systems. PhD in Mechanical Engineering from University of São Paulo (2018–2021) MSc in Mechanical Engineering from University of São Paulo (2016–2018) His research explores the integration of electrolysis with biomass and pyrolysis for green hydrogen and fuel production. Key projects include EUDP - IEA Wind Task 61 on variable renewable energy-hydrogen integration and H2BRIDGE for hybrid energy plant optimization. Recent publications highlight advancements in solid oxide electrolysis (SOEC) modeling, ammonia-fueled fuel cells , and thermo-electrochemical coupling in alkaline electrolysis. He develops open-source tools laine (non-linear equation solver) and vivi (energy integration optimization framework). As a supervisor, he guides PhD research on SOEC plant design and offshore wind-to-hydrogen systems . His work contributes to UN Sustainable Development Goals related to affordable and clean energy and climate action .

• Numerical Analysis
• Virtual Element Methods
• Partial Differential Equations
• +۳ مورد دیگر

Andrea Borio is an Associate Professor at the Department of Mathematical Sciences 'GL Lagrange' (DISMA) at Politecnico di Torino. He is affiliated with the College of Mathematical Engineering and College of Mechanical, Aerospace and Automotive Engineering . His research focuses on Numerical Analysis , Virtual Element Methods , Partial Differential Equations , and Mesh Adaptivity . Research Interests: A posteriori error estimates, mesh adaptivity for polygonal/polyhedral grids, stabilization-free numerical methods, and applications of virtual element methods in geomechanics, biomedical simulations, and coupled flow problems. Recent Publications highlight advancements in stabilization-free virtual element methods for elliptic equations, divergence-free projections, and software frameworks like POLYDIM and GEOS for large-scale simulations. His work spans applications in underground fluid storage, brain tumor modeling, and discrete fracture networks. Teaching: Courses include Sobolev Spaces on Non-Smooth Domains , Solving PDEs on Polygonal Meshes , and modules on numerical models/methods across Mathematical, Mechanical, and Aerospace Engineering programs. Students: Supervises Davide Fassino, a PhD student in Pure and Applied Mathematics (38th cycle, 2022–ongoing). Skills: ERC sectors include numerical analysis, scientific computing, and mathematical applications in industry.

Lukas Kellerمشاهده پروفایل

پژوهشگر

• Geophysics
• Clay Microstructure
• Rock Mechanics
• +۳ مورد دیگر

Dr. Lukas Keller is a Researcher at the Zurich University of Applied Sciences (ZHAW), School of Engineering, within the Department of ICP Multiphysics Modeling and Imaging. He leads multiple projects focused on clay rock characterization, including ongoing work on fracture sealing in clay rock and completed studies on gas transport mechanisms in clay materials. His research centers on the geophysical and mechanical properties of clay formations, particularly Opalinus Clay. Key interests include 3D microstructure analysis using X-ray computed tomography (XCT), hydromechanical behavior of fractures, permeability modeling, and pore-scale simulations. His work bridges experimental data with computational approaches to understand fluid flow, elastic properties, and transport phenomena in geological materials. Keller's publications (2014-2023) demonstrate consistent focus on clay microstructure, digital rock physics, and multiscale modeling. Recent articles explore pore geometry effects on rock elasticity, anisotropy in shale mechanics, and advanced tomography techniques. His research provides critical insights for applications in nuclear waste containment and geotechnical engineering.

• Mechanics
• Rotordynamics
• Biomedical Engineering
• +۴ مورد دیگر

Katrin Ellermann is a University Professor (Professor) at the Institute of Mechanics , Graz University of Technology (TU Graz), Austria. Her research spans rotordynamics , nonlinear vibrations , biomedical engineering (particularly aortic dissection modeling), and offshore systems . She has developed advanced numerical methods like the Numerical Assembly Technique and applied fractional derivative damping models to rotor systems. Her work integrates computational mechanics with applications in industrial machinery and cardiovascular diagnostics via impedance cardiography. Her research interests include: Stability and vibration analysis of mechanical systems Computational modeling of aortic dissection and thrombosis Application of polynomial chaos expansion and sensitivity analysis Control systems using Kalman filters and mechatronic simulations Nonlinear dynamics in offshore structures Advanced damping models via fractional calculus Recent publications focus on rotordynamics (balancing techniques, damping models) and biomedical simulations (SynthAorta dataset, false lumen thrombosis). She has also contributed to fault detection in railway and offshore systems.

Sang-Joon Leeمشاهده پروفایل

دانشیار

• Microfluidics
• Biomedical Engineering
• Electronic Displays
• +۷ مورد دیگر

Sang-Joon Lee is an Associate Professor in the Department of Mechanical Engineering at San José State University. His research focuses on microfluidics for biomedical engineering and electronic displays, with emphasis on fabrication processes and fluid-structure interaction. He teaches courses in dynamics, fluid mechanics, microfluidics (ME 168), MEMS (ME 169), and biomechanics (ME 267). Education: Ph.D. and M.S. in Mechanical Engineering from MIT, B.S. from Stanford Industry Experience: Semiconductor systems engineering at Applied Materials, micro fuel cell research at Stanford His lab (http://www.sjsu.edu/mems/) explores multiphysics interactions in materials, focusing on microscale prototyping and experimental validation . Research advisees typically commit 16+ weekly hours including on-campus lab work. He previously served as Director of the Microscale Process Engineering Laboratory and Associate Director of the Materials Characterization and Metrology Center.

• Scientific Computing
• Finite Element Methods
• Mixed-Dimensional Coupling
• +۴ مورد دیگر

Cécile Daversin-Catty is a Research Scientist at Simula Research Laboratory in the Department of Numerical Analysis and Scientific Computing. Her work bridges computational mathematics and biomedical engineering through advanced finite element methods. Education: PhD in Applied Mathematics (2016, Université de Strasbourg), thesis titled 'Reduced basis method applied to large non-linear multi-physics problems: application to high field magnets design' Her research focuses on scientific computing , finite element methods , and mixed-dimensional coupling , with applications spanning fluid mechanics , cardiac electromechanics , and neurovascular modeling . Recent publications highlight her expertise in computational fluid dynamics for cardiac flow simulations, development of FEniCS-based tools for mixed-domain problems, and modeling of perivascular networks. Key trends in her work include: Development of robust numerical frameworks for multi-physics problems Advancing cardiac electromechanical modeling for heart failure studies Exploring glymphatic system dynamics via mixed-dimensional finite elements Software innovation in computational science tools She collaborates extensively with researchers across computational cardiology and neuroscience, contributing to open-source platforms like FEniCS.

Kent-Andre Mardalمشاهده پروفایل

استاد

• Computational Mechanics
• Biomechanical Applications in Medicine
• Brain Clearance During Sleep
• +۵ مورد دیگر

Kent-Andre Mardal is a Professor at the Department of Mathematics , University of Oslo . He specializes in computational mechanics with a strong focus on biomechanical applications in medicine , particularly in modeling brain clearance mechanisms during sleep. His work integrates multi-physics modeling , fluid-structure interaction , and poroelastic couplings to advance understanding of the glymphatic system and cerebrospinal fluid dynamics. Education: PhD (2002) – Simula Research Laboratory Research Interests: Mardal's research spans a wide range of disciplines including: Computational Mechanics – developing robust numerical algorithms for complex physical systems Biomechanical Applications – particularly in neuroscience and medical imaging Brain Clearance During Sleep – modeling the glymphatic system and CSF flow dynamics Multi-Physics Modeling – integrating fluid dynamics, elasticity, and neural networks Finite Element Methods – for accurate and efficient simulations Neural Networks in Scientific Computing – exploring physics-informed neural networks Research Trends from Publications: Mardal's recent publications (2022–2025) demonstrate a clear focus on brain fluid dynamics , particularly the glymphatic system , CSF circulation , and neurodegenerative disease modeling . He employs advanced numerical techniques such as isogeometric analysis , physics-informed neural networks , and parameter-robust preconditioning to solve complex multi-physics problems. His work bridges medical imaging (MRI) with computational modeling to provide insights into brain clearance mechanisms and their impairment in diseases like Alzheimer's. Scientific Awards: No specific awards are mentioned in the provided text. Grants and Projects: Currently, Mardal is the Principal Investigator (PI) of three active research projects: Alzheimer's Physics – exploring the role of fluid dynamics in neurodegeneration Scientific Machine Learning – advancing numerical methods with AI Computational Hydrology – modeling subsurface fluid flow Affiliations and Teams: Mardal was previously a group leader at the Centre of Excellence “Biomedical Computing” at the Simula Research Laboratory. He has authored over 100 papers and several books, and his research homepage is available at https://kent-and.github.io/ .

• Artificial Intelligence
• Robotics
• Materials Science
• +۳ مورد دیگر

Dengpeng Huang is an Assistant Professor specializing in Artificial Intelligence and Robotics within the field of Elastomer Technology and Engineering . His work bridges computational modeling with advanced materials, focusing on applications in smart materials and mechanical systems. Research Interests: Development of AI-driven models for predicting elastomer properties Multiscale analysis of rubber composites Electromechanical coupling in dielectric elastomer actuators Meshfree methods for metal cutting and chip formation Ultra-precision polishing of optical surfaces Recent Trends: His 2024–2025 publications emphasize data-driven modeling of rubber's viscoelastic behavior, multiscale analysis of composites, and CNN-based approaches for material characterization. Earlier work (2014–2022) explores tool path optimization, beam modeling, and computational machining. Scientific Recognition: Holds an h-index of 5 according to Scopus citations, with recognition as an AI and robotics expert in the service industry. Advising & Collaboration: Collaborates with researchers like Anna Blume, Evgeny Karaseva, and Tim Bor on elastomer composites. Supervised at least one academic work, though specific students are not named in the provided data. Labs & Teams: Affiliated with simulation and robotics teams in the smart materials sector, likely within an advanced materials or mechanical engineering research group.

Alex Mouapiمشاهده پروفایل

مدرس

• Energy Harvesting
• Wireless Sensor Networks
• RF Circuit Design
• +۳ مورد دیگر

Dr. Alex Mouapi is a Lecturer in the Department of Electrical Engineering at Polytechnique Montréal, specializing in energy harvesting systems for wireless communications and IoT. His research bridges theoretical frameworks with industrial applications, particularly in autonomous sensor networks. Education Ph.D. in Engineering, Université du Québec à Chicoutimi (UQAC)/Université du Québec en Abitibi-Témiscamingue (UQAT) M.Sc. in Engineering, Université du Québec en Abitibi-Témiscamingue (UQAT) Master in Physics (Electronics), University of Dschang, Cameroon B.Sc. in Physics, University of Dschang, Cameroon Diploma in Technical Education (Electrotechnics), University of Douala, Cameroon Research Focus Dr. Mouapi's research centers on sustainable energy solutions for wireless devices. Key areas include: Energy Harvesting Systems: RF and piezoelectric microgenerators for self-powered sensors Circuit Design: Optimization of voltage doublers, rectifiers, and power management circuits Industrial IoT: Applications in mining, manufacturing, and infrastructure monitoring Predictive Algorithms: Energy forecasting and allocation for network efficiency Publication Trends His 33 publications demonstrate consistent focus on energy autonomy for industrial sensors. Recent works (2020-2022) emphasize RF harvesting circuit optimization and IoT integration, with theoretical contributions in efficiency modeling and practical validations through industrial case studies. Laboratory & Collaborations While no dedicated lab is specified, his research involves simulations and prototyping for energy systems. Collaborations include industrial partners in mining and manufacturing sectors.

Jean-Claude Royمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics (CFD)
• Micrometeorology in Greenhouses
• Magnetocaloric Heat Transfer
• +۳ مورد دیگر

Jean-Claude Roy is an Associate Professor in Fluid Mechanics and Thermodynamics at the Bourgogne Franche-Comté University , affiliated with the UFR STGI (Science, Technology, and Industrial Engineering Unit) and part of the Energy Department . He has been active in research since 1991, focusing on computational fluid dynamics (CFD) applications in agricultural and thermal engineering. PhD in Mechanical Engineering (1991) - Mixing of anisothermal flows Academic Appointments: Fluid Mechanics, Thermodynamics, and CFD modeling His research spans two primary domains: Greenhouse Micrometeorology - Modeling heat, water vapor, and CO2 transfers in greenhouse environments, with emphasis on climate distribution, natural ventilation, and crop transpiration. Magnetocaloric Heat Transfer - Investigating heat pumps using magnetocaloric regenerators, oscillating flows, and innovative composite materials for sustainable refrigeration. Key publication trends show expertise in: CFD modeling of magnetocaloric devices and regenerators Thermal and aerodynamic analysis of projectiles and transducers Climate control in agricultural facilities He collaborates extensively with researchers like Thierry Boulard, Yannick Bailly, and Stefan Giurgea, contributing to 58+ publications. His work bridges mechanical engineering principles with agricultural and environmental applications, focusing on both heat transfer and fluid dynamics challenges.

• Numerical Analysis
• Scientific Computing
• Partial Differential Equations
• +۳ مورد دیگر

Herbert Egger is a Professor of Numerical Analysis and Scientific Computing at Johannes Kepler University (JKU) Linz and heads the Institute of Numerical Mathematics. He is also a Group Leader at RICAM (Johann Radon Institute for Computational and Applied Mathematics) and Scientific Director at the Austrian Academy of Sciences. His research focuses on advanced numerical methods for partial differential equations, including structure-preserving discretizations, inverse problems, and computational electromagnetics. Current projects include SFB F90-N (CREATOR) for electric machine co-simulation, SPP 2256 for phase-field modeling in additive manufacturing, and TRR 146 on multiscale soft matter systems. Key research areas: mixed/hybrid finite element methods, energy-based modeling, model order reduction, radiative transfer, and inverse problem stabilization. His recent work emphasizes nonlinear magnetostatics, phase separation models, and efficient solvers for time-dependent systems. Egger collaborates internationally with institutions like TU Eindhoven and TU Darmstadt.

• MEMS and Micro/Nanofluidics
• Biomicrofluidics
• Nanoengineered Energy Systems
• +۲ مورد دیگر

Dr. Jeff Darabi is a Professor and Ph.D. Program Director in the Department of Mechanical and Mechatronics Engineering at Southern Illinois University Edwardsville (SIUE). He holds a Ph.D. in Mechanical Engineering from the University of Maryland. His research spans micro/nanofluidics, biomicrofluidics, energy systems, and multiphysics modeling, with applications in biomedical devices and thermal management. Research Interests: MEMS and Micro/Nanofluidics Biomicrofluidics for cell separation and diagnostics Nanoengineered thermal systems for electronics cooling Coupled physics simulations (fluid, thermal, electromagnetic) His recent publications (2016–2019) demonstrate a focus on magnetophoretic bioseparation chips, microfluidic device design, and advanced materials like copper-CNT composites. This work emphasizes computational modeling integrated with experimental validation.

Massimo CUOMOمشاهده پروفایل

استاد

• Computational Solid Mechanics
• Isogeometric Analysis
• Fracture Mechanics
• +۷ مورد دیگر

Massimo Cuomo is a Full Professor at the University of Catania's Department of Civil Engineering and Architecture (DICAR), where he also coordinates the PhD program in Urban and Territorial Risk Assessment and Mitigation. His office is located on the 4th floor of Building 3, and he holds weekly office hours on Wednesdays (9:00-13:00). Contact him via email at mcuomo@dica.unict.it or phone at 095 7382262. Professor Cuomo's research specializes in Computational Solid Mechanics with focus areas including: Isogeometric analysis for polar/nonpolar structural models Fracture mechanics and material damage modeling Multiphysics phenomena coupling mechanics with transport processes Geometric/material nonlinear system analysis Elastic-plastic deformations (infinitesimal/finite strain) Metamaterial design via homogenization techniques Non-standard material model applications His research output includes over 200 publications in indexed journals and conferences. Bibliometric data (as of 2019) shows 70 Scopus-indexed works (30 journal articles) from the past decade, 1,200+ citations, and an H-index of 22. He leads doctoral research in urban risk mitigation but currently has no disclosed laboratory facilities or specific grant information.