جست‌وجوی استاد و پژوهشگر

• Biomechanics
• Soft Tissue Mechanics
• Cardiovascular Biomechanics
• +۵ مورد دیگر

Gerhard Holzapfel is a Professor at TU Graz's Department of Biomechanics. His research focuses on biomechanics of soft biological tissues, cardiovascular systems, and advanced material modeling. He leads the Institute of Biomechanics, conducting experimental and computational studies on tissue mechanics, vascular diseases, and medical device design. Education : Details not explicitly provided in source text. Research Interests : Dr. Holzapfel's work spans constitutive modeling of soft tissues, computational fluid dynamics (CFD) in vascular systems, mechanobiology of cells and tissues, and biomaterials. He emphasizes translating biomechanical insights into clinical applications such as endovascular devices and surgical simulations. His studies often integrate microstructural analysis with macroscopic mechanical behavior to understand pathologies like atherosclerosis and aortic dissection. Publications : Recent work highlights advancements in fiber dispersion models for skin mechanics, Bayesian frameworks for material calibration, and CFD-driven evaluations of TEVAR (thoracic endovascular aortic repair). His articles emphasize predictive modeling of tissue behavior under various loading conditions, with applications in cardiology and regenerative medicine. Awards : No specific honors or fellowships mentioned in the provided text. Advising & Grants : No student/advisor relationships or grant details explicitly listed. The Institute of Biomechanics likely supports collaborative projects in biomechanical engineering and medical research. Labs/Teams : Director of TU Graz's Institute of Biomechanics, leading interdisciplinary teams in biomechanics, material science, and computational modeling. Collaborates with clinical partners on vascular biomechanics and surgical device development.

Ben Ashbyمشاهده پروفایل

دانشیار

• Mathematical Biology
• Ecology and Evolution
• Host-Parasite Interactions
• +۵ مورد دیگر

Ben Ashby is an Associate Professor in the Department of Mathematics at Simon Fraser University's Faculty of Science. His research focuses on mathematical biology, particularly the ecology and evolution of host-parasite interactions. He uses mathematical models to study parasite spread, virulence evolution, and the impact of host traits like resistance or mating strategies. Education: DPhil in Zoology from the University of Oxford (2014). Research Interests: Ben’s work spans infectious diseases, the evolution of diversity, sexual selection, and niche evolution. He explores how traits evolve in response to pathogens and how ecological factors influence evolutionary dynamics. His models address topics like defensive symbionts, age-structured resistance, and coevolutionary timescales. Labs/Teams: He is part of the Mathematics, Genomics & Prediction in Infection & Evolution (MAGPIE) group at SFU, applying mathematical approaches to infectious disease challenges. Teaching: Currently teaches MATH 360 D100 (Introduction to Biomathematics) in Fall 2025. Past courses include advanced topics in epidemiological modeling and evolutionary dynamics. Office & Contact: Located in K9525, reachable at ben_ashby@sfu.ca or via his research website ecoevotheory.com .

Günther Meschkeمشاهده پروفایل

استاد

• Computational mechanics of materials and structures
• Multiscale models for porous materials and fiber reinforced composites
• Advanced discretization methods for fracture and fragmentation analysis
• +۲ مورد دیگر

Günther Meschke is a Full Professor at the Institute for Structural Mechanics, Ruhr University Bochum, Germany, since 1998. He has held academic positions including Associate Professor and University Assistant at Vienna University of Technology, Austria, and served as Dean and Director at Ruhr University. 1996: Habilitation in Strength of Materials and Structural Mechanics 1989: Dr. techn. (summa cum laude), Vienna University of Technology 1983: Dipl.Ing in Civil Engineering (with honors), Vienna University of Technology His research focuses on computational mechanics of materials and structures, multiscale modeling for porous materials and composites, advanced discretization methods for fracture analysis, and computational methods for subsurface engineering. Publications include work on gradient-enhanced damage models, hydraulic fracturing simulations, and steel-fiber-reinforced concrete failure analysis. Recent articles emphasize multiscale computational methods, fracture mechanics, and hydro-mechanical coupling in civil engineering applications. Key journals include Computer Methods in Applied Mechanics and Engineering and International Journal for Solids and Structures . 2016: Top Library Reads of ASCE 2016: Austrian Science Board Membership 1997: Cardinal Innitzer-Advancement-Prize He serves as Associate Editor for one scientific journal and on the Editorial Board of five others, with affiliations including the International Association for Computational Mechanics (IACM) and acatech (German Academy of Science and Engineering).

Theodorian Borca-Tasciucمشاهده پروفایل

استاد

• Thermal Engineering
• Nanoscale Thermophysics
• Energy Conversion
• +۴ مورد دیگر

Theodorian Borca-Tasciuc is a Professor and Associate Head of Graduate Studies in the Department of Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute. He directs the Nanoscale Thermophysics and Energy Conversion Laboratory (NanoTEC) , focusing on thermal conductivity, thermoelectric materials, and energy-efficient systems. PhD in Mechanical Engineering from UCLA (2000) Academic career since 2001 Research interests span thermal engineering, nanoscale thermophysics, and energy conversion for electronics and buildings. His work includes thermal metrology, thermoelectric enhancement, and sustainable building systems. Publications highlight trends in nanoscale thermal transport, energy-efficient building envelopes, and thermoelectric materials (e.g., Bi2Te3, graphene composites). Awards: NSF CAREER award (2004) Professional roles include Associate Editor for the Journal of Nanomaterials , ASME K8 committee member, and symposium organizer for ASME/MRS.

Paolo Capobianchiمشاهده پروفایل

مدرس

• Multiphase Flows
• Non-Newtonian Fluid Mechanics
• Ferrofluid Dynamics
• +۵ مورد دیگر

Dr. Paolo Capobianchi is a Lecturer in the Department of Mechanical and Aerospace Engineering at the University of Strathclyde, with a master’s in Mechanical Engineering and a PhD in Mechanical and Aerospace Engineering. His research focuses on multiphase flow dynamics, including droplet behavior in Newtonian/non-Newtonian fluids, hydrothermal instability, microfluidics, and ferrofluid modeling. He has published extensively in top journals like Journal of Rheology and presented at international conferences. Awards include scholarships from the University of Strathclyde and BSR, and a grant for JAXA collaboration. He serves on the British Society of Rheology (BSR) and Società Italiana di Reologia (SIR). Research interests span numerical modeling of ferrofluid emulsions, cavitation erosion prediction, and particle dynamics in liquid bridges. Projects include EPSRC-funded work on particle self-assembly in space environments and turbine erosion mitigation. Notable contributions include the JEREMI Experiment preparation and development of novel numerical methodologies for fluid systems analysis. Awarded grants and scholarships have supported collaborations with JAXA and advanced fluid dynamics studies. Professional activities include invited speaking roles and participation in major conferences like the 37th Scottish Fluid Mechanics Meeting and COSPAR 2024.

• Biomembrane structure and dynamics
• Lipid monolayer dynamics
• Molecular dynamics simulations
• +۳ مورد دیگر

Matti Javanainen is an Assistant Professor and head of the BioInterfaces research group at the Computational Physics Laboratory within the Faculty of Engineering and Natural Sciences at Tampere University. His research focuses on computational biophysics, specifically using molecular dynamics simulations to study biomembrane structure, lipid dynamics, and protein-lipid interactions. He holds a Master of Science (Technology) from Tampere University (2012) and a Bachelor of Science (Technology) from the same institution (2010). Research interests include the dynamics of lipid monolayers and bilayers, pulmonary surfactant systems, and the development of simulation methodologies. Key contributions include work on interleaflet coupling in membranes, cholesterol's role in membrane viscosity, and force field improvements for coarse-grained modeling. Javanainen leads a team exploring computational approaches to understand biological interfaces at the molecular level. Recent articles highlight advancements in lipid diffusion analysis, membrane protein behavior in crowded environments, and the impact of omega-3 fatty acids on receptor dynamics. His work bridges computational methods with experimental insights, contributing to fields like drug delivery and membrane biology. Collaborations span international teams, emphasizing interdisciplinary approaches to membrane science.

Lee Yee Yingمشاهده پروفایل

مدرس ارشد

• Edible fats and oils modification
• Functional lipid synthesis
• Food product development
• +۳ مورد دیگر

Dr Lee Yee Ying is a Senior Lecturer at the Malaysia School of Science, Monash University. She holds a PhD in Food Science and Technology from Universiti Putra Malaysia (2016), where her doctoral research focused on functional oil development via enzymatic interesterification of palm oils for obesity management. Her research interests include enzymatic/chemical modification of edible fats, functional lipid synthesis, in vivo health studies, and sustainable palm oil utilization. She teaches courses in Food Science and Functional Foods. Dr Lee has led multiple research projects, including biorefinery of microalgae and synthesis of medium-long chain triacylglycerols (MLCT). She has published over 80 peer-reviewed articles and book chapters, with a focus on lipid chemistry, structured lipids, and food product development. Notable awards include the Best PhD Award (2016) and innovation awards for plant-based milk products (2024). Her work aligns with UN SDGs related to sustainable consumption and health. Recent research trends emphasize functional lipid applications in health management, emulsion stabilization using nanocellulose, and mitigation of harmful oil processing byproducts like 3-MCPDE and glycidol esters.

• Sustainable Energy Materials
• Energy Storage
• Energy Conversion
• +۱۴ مورد دیگر

Prof Ana Jorge Sobrido is a Professor of Sustainable Energy Materials at the School of Engineering and Materials Science, Queen Mary University of London. She is the Research Director for the Sustainable Engineering Centre and the Director of the London Energy Materials & Devices Hub. She holds a UKRI Future Leaders Fellowship and is an active member of key national research committees, including the UK Redox Flow Battery Network and the STFC Battery Steering Committee. Her research expertise lies in the development of sustainable materials for energy storage and conversion. Her group focuses on creating freestanding materials using scalable techniques like electrospinning and 3D printing, with applications in redox flow batteries, supercapacitors, fuel cells, and water electrolysers. They also explore CO2 conversion and photoelectrochemical water splitting, often utilizing biomass waste as a sustainable feedstock. A key aspect of her work involves developing in situ characterization methods to understand structure-property relationships in electrochemical systems. The recent publications of Prof Sobrido reveal a strong trend in sustainable electrocatalysis, advanced carbon materials, and innovative energy storage solutions. Her work spans from fundamental material synthesis to device integration and performance optimization, with a consistent emphasis on sustainability and scalability. Her research bridges materials chemistry, electrochemistry, and engineering to address global energy challenges. Prof Sobrido has received several prestigious recognitions, including: UKRI Future Leaders Fellow Fellow of the Royal Society of Chemistry (FRSC) Member of the Institute of Materials, Minerals and Mining (MIMMM) Fellow of the Higher Education Academy (FHEA) She leads an active research group and is involved in significant research funding through her UKRI Fellowship and leadership roles. Her work is supported by national collaborations and infrastructure, positioning her at the forefront of sustainable energy materials research. As Research Director and Hub Director, she plays a key role in shaping research strategy and fostering interdisciplinary collaboration. Prof Sobrido leads the Sustainable Engineering Research Group, which focuses on developing next-generation sustainable materials for energy applications. The group specializes in scalable synthesis techniques and in situ characterization to advance the understanding and performance of electrochemical devices.

Emiliya Poghosyanمشاهده پروفایل

پژوهشگر

• Cryo-electron Microscopy
• Structural Biology
• Single Particle Analysis
• +۳ مورد دیگر

Emiliya Poghosyan is a Senior Scientist at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Laboratory for Multiscale Bioimaging and the Electron Microscopy Facility. Since 2018, she provides user support, training, and manages advanced electron microscopy equipment while developing biological imaging methodologies. Her educational background includes: Bachelor of Science in Physics (with honours) from Yerevan State University Master's Degree in Nano-biophysics from Technical University of Dresden PhD in Cryo-electron microscopy from ETH Zurich Postdoctoral work on single particle cryo-EM of membrane proteins at University of Basel Her research focuses on cryo-electron microscopy techniques, structural biology, and membrane protein imaging. Recent publications highlight advancements in ptychography tools, X-ray tomography, and deep learning applications for electron microscopy. She actively contributes to method development and facility management. Scientific achievements include DAAD Long-Term Fellowships (2010-2012), PSI Research Grants (2021), and SDSC Collaborative Data Science Projects. She is a member of the Swiss Society for Optics and Microscopy (SSOM) and has delivered lectures at the University of Zurich (PHY 427). Teaching roles span multiple international cryo-EM schools and hands-on training programs since 2018, emphasizing practical microscopy education.

Patrick Le Tallecمشاهده پروفایل

استاد

• Computational Mechanics
• Nonlinear Mechanics
• Domain Decomposition Methods
• +۵ مورد دیگر

Patrick Le Tallec is a Professor of Mechanics at École Polytechnique in France, where he currently serves as Dean of the Bachelor Program and is a member of the M3DISIM project. His distinguished academic career spans multiple institutions including Université Paris Dauphine, INRIA (French National Institute for Research in Digital Science and Technology), and international universities such as Stanford University, University of Wisconsin, and Shanghai Jiao Tong University. He has held leadership positions including Vice President for Education and Head of the Laboratory of Solid Mechanics at École Polytechnique. His educational background includes: Graduate from École Polytechnique Ph.D. in Engineering Mechanics from The University of Texas at Austin (1980) Thèse d'Etat in Applied Mathematics from Université Pierre et Marie Curie in Paris (1981) Professor Le Tallec's research focuses on computational mechanics and applied mathematics with expertise in nonlinear mechanics, domain decomposition methods, and multiscale modeling. His work bridges theoretical mathematics with practical engineering applications, particularly in material science and fluid-structure interactions. He has developed advanced numerical methods for elasticity, viscoelasticity, and fluid dynamics with applications in industrial manufacturing and biomedical engineering. His recent publications demonstrate progression from foundational numerical methods to sophisticated multiscale approaches addressing complex engineering challenges in material science. The research shows particular emphasis on rubber mechanics, fatigue analysis, and computational methods for nonlinear structures, reflecting his ongoing commitment to solving real-world engineering problems through mathematical innovation. His scientific honors include: CISI award in Scientific Computing Prize Blaise Pascal of the French Academy of Sciences Chevalier des Palmes Académiques Chevalier de la Légion d'Honneur Officier de l'Ordre National du Mérite Professor Le Tallec has directed over 40 Ph.D. students from 10 different nationalities, demonstrating significant impact in academic mentoring. His research has been supported through extensive collaborations with industrial partners including Michelin, PSA Group, and Dassault Aviation, as well as scientific advisory roles at the French Alternative Energies and Atomic Energy Commission. He has served as president of the French Society of Applied and Industrial Mathematics and held editorial positions with leading journals in his field. His laboratory work centers around computational mechanics research, particularly through the M3DISIM project at École Polytechnique. His research team brings together mathematicians, engineers, and computer scientists to develop innovative solutions for complex problems in material science and structural mechanics, with applications ranging from industrial tire manufacturing to biomedical engineering.

• High Performance Computing
• Performance Engineering
• Performance Modeling
• +۷ مورد دیگر

Gerhard Wellein is a Professor for High Performance Computing at the Department of Computer Science of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He is the head of NHR@FAU (Erlangen National Center for High Performance Computing) and a member of the board of directors of the German NHR-Alliance. Since 2024, he has also served as a Visiting Professor for HPC at the Delft Institute of Applied Mathematics, Delft University of Technology. He holds a PhD in theoretical physics from the University of Bayreuth and has over two decades of experience in HPC education and research. Research Interests: His research focuses on performance modeling and engineering, architecture-specific code optimization, novel parallelization techniques, and the development of hardware-efficient building blocks for sparse linear algebra and stencil solvers. His work bridges computer science, applied mathematics, and computational physics, aiming to maximize efficiency on current and future HPC architectures, including exascale systems. Publication Trends: His recent publications emphasize analytical performance modeling (e.g., Roofline, oscillator models), energy efficiency, GPU optimization, and scalable linear algebra. They reflect a strong focus on both theoretical modeling and practical implementation, with applications in CFD, quantum physics, and molecular dynamics. Scientific Awards: 2011 Informatics Europe Curriculum Best Practices Award (shared with Jan Treibig and Georg Hager) for outstanding teaching contributions in HPC. Grants and Advising: He has led numerous third-party funded projects from the EU, BMBF, and DFG, including EoCoE-III, ESSEX, EXASTEEL, and ProPE. These projects focus on exascale software, performance engineering, fault tolerance, and multiscale simulation. He has mentored multiple researchers and students, contributing to the development of tools such as LIKWID, ClusterCockpit, and GEOPM. Labs and Teams: He leads the HPC research group at FAU and is deeply involved in national and international HPC initiatives. His team collaborates extensively on open-source HPC software and performance tools, fostering a strong community-driven approach to performance engineering.

• MRI
• Brain Imaging (EEG, MRI)
• Neuroscience
• +۴ مورد دیگر

Franceschiello Benedetta is an Associate Professor at HES-SO Valais-Wallis School of Engineering, specializing in Technical and IT disciplines. She holds a PhD in Mathematical Neuroscience from Université Pierre et Marie Curie (Paris). Her work bridges applied mathematics, computational neuroscience, and neuroimaging, with a focus on visual perception modeling, MRI techniques, and neural dynamics. Teaching: Linear Algebra courses across multiple engineering bachelor programs Expertise: Combines mathematical modeling with neuroscientific applications to study optical illusions, brain connectivity, and ophthalmic diagnostics Key Affiliations: ISMRM, Organization for Human Brain Mapping (OHBM), Association for Research in Vision and Ophthalmology (ARVO) Research Interests: Computational modeling of visual cortex mechanisms underlying geometric optical illusions Development of MRI-based methods for eye structure segmentation and axial length estimation Analysis of brain network reliability through standardized MRI protocols Optimization techniques for medical imaging reconstruction (e.g., weighted LASSO problems) Recent Work Trends: Focus on integrating psychophysical experiments with computational models to elucidate perceptual mechanisms, emphasizing synergistic interactions between physical stimulus parameters. Active in advancing MRI applications for both clinical diagnostics and fundamental neuroscience research.

Julija Zavadlavمشاهده پروفایل

استادیار

• Multiscale Modeling
• Machine Learning
• Computational Chemistry
• +۳ مورد دیگر

Prof. Julija Zavadlav is an Assistant Professor of Multiscale Modeling of Liquid Materials at the Technische Universität München (TUM), affiliated with the TUM School of Engineering and Design. Her research integrates physical modeling with machine learning and Bayesian techniques to develop multi-scale simulation frameworks for diverse applications in bioinformatics and engineering. Education: She earned her PhD in Physics from the University of Ljubljana (2015) and conducted postdoctoral research at ETH Zurich (2016–2019), where she received an ETH Postdoctoral Fellowship. Since 2019, she has held her current position at TUM. Research Interests: Her work focuses on advancing machine learning potentials, Bayesian uncertainty quantification, and multi-scale modeling for complex systems like ionic liquids, metal-organic frameworks, and biomolecules. Her ERC Starting Grant (2022) supports the SupraModel project, emphasizing scalable and interpretable models. Awards: Golden Teaching Award 2022 (Best Lecture), ERC Starting Grant 2022, and ETH Postdoctoral Fellowship. Her recent publications emphasize neural network potentials, transfer learning, and computational tools like JaxSGMC for Bayesian analysis. Grants and Labs: While specific lab names are not mentioned, her ERC grant underscores active funding. No formal student advisee list is provided, but her collaborative work suggests involvement in training next-generation computational scientists.

Gregory B. Olsonمشاهده پروفایل

استاد

• Computational Materials Design
• Integrated Computational Materials Engineering (ICME)
• Fracture Resistance
• +۵ مورد دیگر

Gregory B. Olson is a Professor at the Massachusetts Institute of Technology (MIT) in the Department of Materials Science and Engineering, holding the Thermo-Calc Professor of the Practice title since 2020. He specializes in computational materials design, particularly in Integrated Computational Materials Engineering (ICME), which revolutionized industrial materials design. His research focuses on fracture resistance, high-performance alloys, and computational modeling of materials like steels, ceramics, and composites. Education: Bachelor of Science (1970) from MIT Doctor of Philosophy (1974) from MIT, advised by Morris Cohen Research Interests: Olson’s work bridges computational modeling and material innovation. He develops design methodologies for alloys, including transformation-toughened titanium alloys and ICME-driven steel designs. His contributions to materials genomics and additive manufacturing have advanced aerospace and defense applications. He pioneered Questek Innovations, applying ICME to industrial challenges like computational steel design. Awards & Honors: 2013: Foreign Member, Royal Swedish Academy of Engineering Science 2012: Member, American Academy of Arts and Sciences 2010: Member, National Academy of Engineering 2010: Gold Medal, ASM International 2001: Fellow, The Minerals, Metals & Materials Society Lab & Collaborations: He leads the Olson Research Group at MIT, focusing on computational materials design. His work integrates atom probe tomography, finite element modeling, and multiscale simulations to predict material behavior under extreme conditions.

Dazhi Jiangمشاهده پروفایل

استاد

• Structural Geology
• Tectonics
• Geomechanics
• +۳ مورد دیگر

Dr. Dazhi Jiang is a Professor at Western University's Department of Earth Sciences and a Distinguished Professor at Northwest University, China. His research focuses on linking structural geology with tectonics through microstructural analysis, numerical modeling, and fieldwork. He develops self-consistent micromechanical models to study multi-scale deformation in Earth's lithosphere, with applications to regions like the Canadian Shield and North China Craton. His work integrates field observations, lab experiments, and computational methods to understand large-scale tectonic processes. His research interests include deformation mechanisms, fabric development, and rheological heterogeneity. Key contributions include studies on metamorphic core complexes, quartz flow laws, and viscous inclusion dynamics. Dr. Jiang teaches courses in structural geology, field mapping, and continuum micromechanics at Western and collaborating institutions. Scientific recognition includes his Distinguished Professor title at Northwest University. He actively supervises graduate students and seeks candidates for projects in the Canadian Cordillera and East China, focusing on microstructure evolution and cratonic thinning mechanisms. Publications emphasize numerical modeling, tectonic deformation, and rheological analysis. His lab, the Structural Geology & Tectonics Laboratory, supports advanced research in deformation mechanics and lithospheric dynamics.