جستجوی استاد راهنمای دانشگاهی

Prof. Olga Sorkine Hornung is a Full Professor of Computer Science at ETH Zürich, leading the Interactive Geometry Lab. She holds a BSc and PhD from Tel Aviv University (2000 and 2006) and conducted postdoctoral research at Technical University Berlin. Her research focuses on computer graphics, geometric modeling, and geometry processing, with applications in shape editing, digital fabrication, and animation. She has received numerous accolades, including the ACM Fellowship (2020), ERC Consolidator Grant (2020), and the Golden Owl Teaching Award (2021). Her work bridges theoretical foundations and practical algorithms, addressing challenges in parameterization, surface compression, and interactive design tools. Her research interests span: Computer Graphics & Visualization Geometric Modeling & Processing 3D Content Creation & Digital Fabrication Garment Design & Simulation Human Motion Analysis & Animation Awards and grants include: 2024: Best Paper Honorable Mention (EUROGRAPHICS) 2023: Member of Swiss Academy of Engineering Sciences (SATW) 2020: ERC Consolidator Grant 2017: Rössler Prize (ETH Zurich) Her lab focuses on developing novel methods for interactive geometry processing, with recent advancements in garment modeling (e.g., AIpparel, Rags2Riches) and motion retargeting systems like WalkTheDog. She actively collaborates on interdisciplinary projects, including biomedical applications and sustainable fashion technology.

• Computer Graphics
• Geometric Modeling
• Geometry Processing
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Dr. Seyyed Hamed Hosseini Nasab is a Lecturer at the Department of Health Sciences and Technology at ETH Zürich, affiliated with the Institute for Biomechanics and the Laboratory for Movement Biomechanics. His research focuses on biomechanical analysis of musculoskeletal systems, particularly knee mechanics, implant design, and ligament behavior in total knee arthroplasty. He integrates experimental, computational, and clinical approaches to improve surgical techniques and prosthetic design. Key research interests include knee joint loading, ligament elongation patterns, and the influence of implant conformity on post-surgical outcomes. He has contributed to standardized methods for measuring tibiofemoral implant loads and kinematics, earning the European Society of Biomechanics SM Perren Award in 2022. His publications emphasize computational modeling, in vivo testing, and finite element analysis to address challenges in orthopedic engineering. Recent work explores artificial neural networks for real-time knee contact force estimation and the biomechanical implications of surgical procedures like posterior cruciate ligament substitution.

• Biomechanics
• Orthopedic Engineering
• Sports Biomechanics
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Konstantinos Karapiperis is a Tenure Track Assistant Professor at EPFL's Laboratory of Multiscale Modeling of Materials (LMD), within the School of Architecture, Civil and Environmental Engineering (ENAC). His research integrates mechanics , multiscale modeling , and data science to study geomaterials and structural materials. PhD in Applied Mechanics (minor in Applied Mathematics), Caltech Postdoctoral Researcher & Lecturer, ETH Zürich (Marie Skłodowska-Curie Fellowship) Research focuses on granular materials , architected materials , and nonlocal modeling using techniques like Level-Set Discrete Element Method (LS-DEM) and machine learning . Recent work explores fracture control via graph neural networks and thermodynamics-informed models. Selected scientific award: Marie Skłodowska-Curie Fellowship Teaches courses in Soil Mechanics and Multiscale Modeling . PhD students include Thomas Henzel and Hrishikesh Gopakumar Menon. His Data-Driven Mechanics Laboratory (LMD) develops predictive tools for granular and structured material behavior.

• Solid Mechanics
• Multiscale Modeling
• Data Science
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Véronique Michaud is an Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Laboratory for Processing of Advanced Composites (LPAC) within the School of Engineering (STI). Her research focuses on polymer composite processing, adaptive composites (e.g., shape memory alloys, self-healing mechanisms), and material science. She also contributes to teaching in Materials Science and Engineering, including courses like 'Materials: From Chemistry to Properties' and 'Composite Materials Processing.' Her academic roles include Associate Professorships in SMX, EDMX, and EDAM teaching units, and she serves as a PhD program committee member for the Doctoral Program in Advanced Manufacturing. She has advised numerous PhD students, including Michele Bonacina, Pierre-Alexandre Boschert, and Jean-Baptiste Desbrest, among others. Research highlights include sustainable composite material development, defect mitigation in composites, and advanced manufacturing techniques. Her work often addresses challenges in aerospace and renewable energy applications, emphasizing sustainability and material innovation.

• Polymer Composite Processing
• Adaptive Composites
• Material Science
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Andreas Müller is a Lecturer at ETH Zürich's Department of Civil, Environmental, and Geomatic Engineering. He holds a Master of Science in Civil Engineering from the Technical University Munich (TUM, 2015) and has worked as a bridge engineer at BUNG Ingenieure AG in Munich (2016–2017). Since 2017, he has been pursuing a PhD under Prof. Taras, initially at Bundeswehr University Munich (UniBw) and later continuing at ETH Zürich's Chair of Steel and Composite Structures. His research focuses on structural stability, particularly the buckling behavior of high-strength steel hollow sections, post-buckling rotation capacity, and the influence of initial imperfections analyzed via 3D surface scans (Reverse Engineering). He also investigates spiral-welded tubes' imperfection assessment and strain hardening effects on aluminum structural sections. Education: Master of Science in Civil Engineering, Technical University Munich (2015) Research interests emphasize bridging experimental and computational methods in structural engineering. He employs machine/deep learning for predictive modeling of buckling phenomena, particularly leveraging Deep Neural Networks (DNN) to enhance accuracy in structural analysis. His work addresses practical challenges in steel and composite structures, including standard compliance (e.g., prEN1993-1-1 updates) and real-world geometry imperfections' impact on load capacities. Advising and grants: As a current PhD candidate, he is supervised by Prof. Taras but has not yet listed advisees. His research is supported by institutional resources at ETH Zürich's Chair of Steel and Composite Structures. Labs/Teams: Active member of the Chair of Steel and Composite Structures at ETH Zürich, contributing to advanced structural mechanics research and engineering innovation initiatives.

• Structural Engineering
• Civil Engineering
• Steel Structures
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Anastasios P. Vassilopoulos is an Adjunct Professor and Head of the Composite Mechanics Group (GR-MEC) at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering (ENAC). He holds additional roles as Director of the Doctoral Program in Civil and Environmental Engineering (EDCE) and is affiliated with multiple research groups and committees at EPFL. His expertise spans composite materials, structural adhesives, and offshore renewable energy systems. Education: PhD in Mechanical Engineering, University of Patras, Greece (2001) Dipl. Mechanical Engineer, University of Patras, Greece (1995) Erasmus Exchange, University of Bristol, UK (1994–1995) Research Interests: Offshore renewables, particularly wind turbine blade materials and joints Fatigue analysis of composite materials and adhesive joints Experimental and analytical methods for composite structures Design of composite constructions and structural integrity His work emphasizes practical applications in engineering, including wind energy systems and fiber-reinforced polymer (FRP) composites. Teaching & Labs: Teaches courses on structural mechanics, advanced composites, and floating offshore renewables Leads the GR-MEC lab, focusing on composite mechanics and joint behavior Supervised over 15 PhD students at EPFL Grants & Projects: Swiss National Science Foundation-funded projects on bonded composite structures and wind turbine blade materials Research on fire-resistant composite bridge decks and lightning effects on composite structures

• Composite Materials
• Offshore Renewables
• Wind Turbine Technology
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George Haller is a Professor at the Department of Mechanical and Process Engineering at ETH Zurich . He leads the Institute of Mechanical Systems and holds the Chair in Nonlinear Dynamics . His research focuses on: Nonlinear dynamical systems theory Data-driven model reduction Spectral submanifolds (SSMs) Coherent structure identification in fluids and solids Control of complex nonlinear systems His recent work emphasizes equation- and data-driven modeling across solids, fluids, and control systems . Key contributions include: SSMTool - a MATLAB package for nonlinear model reduction SSMLearn - open-source software for data-driven modeling Transport barrier detection algorithms with oceanographic applications Scientific accolades include: 2025 Lyapunov Award (ASME) 2023 Stanley Corrsin Award (APS) Fellowships: ASME, APS, SIAM External Member, Hungarian Academy of Sciences His group has trained notable alumni: Thomas Breunung (Assistant Professor, University of Wisconsin-Madison) Shobhit Jain (Assistant Professor, Delft University of Technology) Mattia Serra (Assistant Professor, UCSD) Publications span Nonlinear Dynamics, Nature Communications , and Physical Review Fluids , with a 2025 book Modeling Nonlinear Dynamics for Equations and Data (SIAM Press). Current projects include: Reduced-order modeling of fluid-structure interactions Control of soft robots via nonlinear dynamics Identifying material barriers in turbulence

• Nonlinear Dynamics
• Model Reduction
• Data-Driven Modeling
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Michael Herbst is an Assistant Professor (tenure-track) at EPFL, holding a joint appointment in the School of Basic Sciences (SB) and the School of Engineering (STI). He leads the Mathematics for Materials Modelling (MatMat) research group, focusing on error control in atomistic simulations, density-functional theory (DFT), and interdisciplinary computational methods. His work bridges mathematics, materials science, and computer science, emphasizing robust algorithms and Julia-based software development. Herbst holds a PhD from Heidelberg University and has held postdoctoral positions at RWTH Aachen and Inria Paris. He is a core member of the MARVEL and CESMIX research centers. Education: 2018: Dr. rer. nat. (magna cum laude), Heidelberg University 2009–2013: BA and MSci (1st class) in Natural Sciences, University of Cambridge 2008–2009: Studies in Mathematics/Physics, TU Kaiserslautern Research Interests : Herbst's research centers on developing reliable computational methods for materials modeling, including error estimation in DFT, black-box SCF algorithms, and Julia-based tools like the Density-Functional Toolkit (DFTK). His work addresses challenges in high-throughput simulations, numerical stability, and interdisciplinary collaboration across mathematics, physics, and computer science. Grants & Projects : MARVEL Center for Computational Design (EPFL) CESMIX Center for Extreme-Scale Simulations (MIT) EMC² Project (Sorbonne/Inria/École des Ponts) Awards : HGS MathComp PostDoc Fellowship (2018–2021) DAAD Travel Funding (2018) Exploratory Research Space Fund (RWTH Aachen, 2022) Labs & Teams : Head of the MatMat group at EPFL, focusing on error-controlled simulations and open-source software development.

• Materials Science
• Computational Chemistry
• Density Functional Theory
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Bernhard Thomaszewski is a Lecturer at the Department of Computer Science at ETH Zürich. His research focuses on computational mechanics, robotics, and computer graphics, with an emphasis on simulation-based design and material modeling. He explores topics such as deformable contact, flexible materials, and robotic mechanisms. His work bridges theoretical foundations and practical applications, including medical imaging, garment simulation, and biomechanical systems. Notable research interests include the development of novel algorithms for real-time simulation, optimization-driven design of mechanical systems, and integration of machine learning with physical models. He has contributed to advancements in finite element modeling, differentiable simulation, and topology optimization for robotic and biomedical applications. His recent projects highlight interdisciplinary collaboration, addressing challenges in areas like orthodontic treatment prediction, automated pipeline design, and neural network-driven material characterization. While no specific grants or awards are explicitly listed, his prolific publication record underscores his impactful contributions to computational engineering and computer science.

• Computer Graphics
• Robotics
• Computational Mechanics
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Ralf Hiptmair is a Full Professor at ETH Zürich, serving as Head of the Seminar for Applied Mathematics and Deputy Head of the Department of Mathematics. He also holds the position of Director of Studies for ETH BSc and MSc in Computational Sciences and Engineering (CSE). His research spans computational mathematics, numerical analysis, finite element methods, boundary element methods, computational electromagnetism, multigrid methods, discrete differential forms, shape optimization, wave propagation, and kinetic equations. Hiptmair's work on auxiliary space methods was recognized as a breakthrough in computational science in the 2008 DOE Report on recent significant advancements in computational science. His research focuses on developing and analyzing numerical methods for partial differential equations, with particular emphasis on structure-preserving discretizations, computational electromagnetism, and boundary integral equations. His work has significant applications in engineering, physics, and computational science. Hiptmair's publications demonstrate a strong focus on advancing numerical techniques for electromagnetic problems, wave propagation, and shape optimization. His recent work shows increasing interest in computational topology, geometric numerical integration, and interdisciplinary applications of numerical methods. Featured as breakthrough in computational science in the 2008 DOE Report on recent significant advancements in computational science (for Auxiliary space methods) Hiptmair has supervised numerous doctoral, master's, and bachelor's students across mathematics, computational science and engineering, and related fields. His research group has received funding for developing advanced numerical methods with applications in electromagnetism, fluid dynamics, and computational physics. He is actively involved in teaching numerical methods courses at both undergraduate and graduate levels. Hiptmair leads research efforts in the Seminar for Applied Mathematics, collaborating with industry partners like ABB Corporate Research and Siemens on practical applications of computational methods. His work bridges theoretical numerical analysis with real-world engineering challenges.

• Computational Mathematics
• Numerical Analysis
• Finite Element Methods
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Prof. Beat Ruhstaller is a Professor at the ZHAW School of Engineering, leading research in Organic Electronics and Photovoltaics. He specializes in perovskite solar cells, OLEDs, and optoelectronic device simulation. His work focuses on improving device efficiency through charge transport analysis, photon recycling, and material characterization. He heads multiple projects including 'Organic Electronics and Photovoltaics Projects', 'Perovskite-on-Silicon Tandem Photovoltaics', and 'Advanced Materials for Opto-Electronic-Ionic Devices'. Research Interests: Organic Electronics, Photovoltaic Technologies, Perovskite Materials, Device Simulation, Charge Transport Phenomena, and Optoelectronic Devices. His interdisciplinary approach combines experimental and computational methods to tackle challenges in energy-efficient optoelectronics. Key Projects: Tandem solar cell design, perovskite stability, and OLED degradation mechanisms. Over 90 peer-reviewed articles and book chapters, including contributions to Nature Communications , Advanced Materials , and Physical Review Applied . Active in international conferences like EU PVSEC and SID.

• Organic Electronics
• Photovoltaics
• Perovskite Materials
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Fabio Nobile is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL) in the School of Basic Sciences (SB), Department of Mathematics (MATH), holding the CADMOS Chair in Scientific Computing and Uncertainty Quantification. He leads the CSQI (Chair of Scientific Computing and Uncertainty Quantification) group. His work focuses on numerical methods for partial differential equations (PDEs), uncertainty quantification, stochastic modeling, and computational fluid dynamics. He is involved in collaborative projects involving fluid-structure interaction, cardiac electro-mechanics, and energy systems. Professor Nobile has extensive teaching experience, including courses on advanced analysis, stochastic simulation, and numerical integration of stochastic differential equations. He supervises numerous PhD students and has contributed to over 200 peer-reviewed publications, covering topics such as low-rank approximation methods, multilevel Monte Carlo techniques, and optimal control under uncertainty. His research emphasizes interdisciplinary applications, including biomedical engineering (e.g., personalized cardiac simulations) and renewable energy (e.g., probabilistic load forecasting). He collaborates with industries and academic institutions globally, advancing computational methodologies for engineering and scientific challenges.

• Scientific Computing
• Uncertainty Quantification
• Numerical Analysis
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Federica Marone Welford is a Beamline Scientist at the TOMCAT beamline of the Swiss Light Source (SLS) at the Paul Scherrer Institute (PSI) . She holds an Earth Sciences degree with a focus on seismology and a PhD in seismology from ETH Zurich , following a postdoctoral fellowship at the Berkeley Seismological Laboratory . Her work centers on advancing tomographic reconstruction algorithms, mitigating artifacts, and optimizing computational infrastructure for high-speed X-ray imaging at the TOMCAT beamline. Research Focus: X-ray tomography methodology, data compression, real-time reconstruction systems, and applications in paleontology, earth sciences, additive manufacturing, and energy research. Collaborations: Engages with global researchers and industry partners, particularly in battery/fuel cell analysis and laser powder bed fusion. Teaching: Lectures at ETH Zurich on X-ray imaging techniques. Publications highlight her contributions to X-ray scattering tensor tomography, dynamic process visualization, and computational advancements in imaging systems.

• X-ray Tomography
• Seismology
• Tomographic Reconstruction
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Stéphane Commend is an Associate HES Professor at the Fribourg School of Engineering and Architecture (HEIA-FR) under HES-SO Valais-Wallis. He also holds a lecturer role at the School of Engineering and Management of the Canton of Vaud. His primary research focuses on geotechnics, numerical simulations, and probabilistic modeling applied to infrastructure projects like tunneling and deep excavations. Education and affiliations include roles across multiple HES-SO institutions, with a strong emphasis on integrating advanced computational methods into geotechnical engineering. Notable projects include the Grand Paris Express tunnel project, Bayesian inference for wood constitutive modeling, and probabilistic risk analysis for urban construction. Research interests span soil-structure interaction, finite element modeling, and uncertainty quantification. Recent work emphasizes Bayesian methods for parameter calibration, machine learning in excavation design, and natural hazard vulnerability assessment. Key contributions include frameworks linking ZSOIL and UQLab for reliability analysis, and prototypes like SLIDE-PM for mudflow impact modeling. Current projects (e.g., iBAG and OptiSoil) focus on optimizing construction methods using AI and data-driven approaches. He leads collaborative teams across HES-SO institutes and academic partners like EPFL and CETU. Key Projects: iBAG Project (2022–2025): Bayesian methods in geotechnics OptiSoil (2019–2025): Machine learning for excavation design TULIP Project: TBM-pile interaction probabilistic analysis

• Geotechnics
• Numerical Simulations
• Bayesian Inference
• +۴ مورد دیگر

Prof. Dr. Robert Eberlein is a Senior Lecturer in Mechanics at the ZHAW School of Engineering , specifically working at the Institute of Mechanical Systems (IMES) . He has served as Director of IMES since 08/2017, following previous roles as Senior Lecturer at IMES (11/2013-07/2017) and industry leadership positions including CTO of Angst+Pfister Group (06/2006-10/2013). Dr. Eberlein holds a Dr.-Ing. (PhD) in Numerical Mechanics from Darmstadt University of Technology (1992-1997) and completed an exchange program at UC Berkeley (1991-1992). Education: Dr.-Ing. (PhD) in Numerical Mechanics, Darmstadt University of Technology (07/1992-07/1997); Exchange Student at University of California, Berkeley (07/1991-06/1992) Professional: Director of Institute IMES (08/2017-today); Senior Lecturer at IMES (11/2013-07/2017); CTO & Group Executive Committee, Angst+Pfister Group (06/2006-10/2013); Group Leader in Biomechanics, Sulzer Innotec (07/1998-04/2006) Dr. Eberlein focuses on experimental and numerical modeling of solid polymers and lightweight structures. His research spans material modeling, finite element analysis, and fatigue life prediction for materials like POM gears, TPU and vulcanizates. Recent work explores digital twin development for rubber spring elements and machine learning enhanced process simulation in additive manufacturing. His projects include Lifetime prediction of POM gears , Measurement of human soft tissue properties , and Optimization of plastic gear geometry . Scientific achievements include: Professor ZFH (Fachhochschulrat) - 12/2019 Dr.-Ing. (PhD) summa cum laude - Darmstadt University of Technology - 07/1997 Graduate Assistantship - Darmstadt University of Technology - 01/1993 His work appears in journals like International Journal of Non-Linear Mechanics , Rubber Chemistry and Technology , and Journal of Loss Prevention in the Process Industries . Publications since 2015 show a consistent focus on material characterization , finite element modeling , and fatigue analysis with applications in industrial components and biomedical systems.

• Mechanics of polymers and lightweight structures
• Finite element analysis
• Biomechanics
• +۴ مورد دیگر