جستجوی استاد راهنمای دانشگاهی

Olga Sorkine Hornungمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Geometry Processing
• +۳ مورد دیگر

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.

Christophe Anceyمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Rheology
• Hydraulics
• +۶ مورد دیگر

Christophe Ancey is an Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he serves in the School of Architecture, Civil and Environmental Engineering (ENAC), specifically in the Institute of Civil Engineering (IIC) and the Environmental Hydraulics Laboratory (LHE). He also holds teaching appointments in SGC-Teaching and EDME-Teaching departments at EPFL. His office is located at GC A1 401, Station 18, 1015 Lausanne, Switzerland. Dr. Ancey holds both a PhD and engineering degree from Ecole Centrale de Paris and Grenoble National Polytechnic Institute. After completing his doctoral work (1994-1997) on rheology of granular flows under Pierre Evesque, he worked as a researcher at Cemagref before joining EPFL in 2004. He directs the Environmental Hydraulics Laboratory and serves as associate editor for Water Resources Research, a leading journal in hydrology. Dr. Ancey's research spans fluid dynamics, rheology, and hydraulics with emphasis on geophysical flows and natural hazards. His work focuses on three interconnected themes: rheology of concentrated suspensions (particularly granular flows in avalanches and mudflows), inverse problems in rheology (determining microscopic behavior from macroscopic measurements), and particle entrainment in turbulent suspensions (erosion and sediment transport processes). His recent publications (2022-2025) demonstrate continued innovation in sediment transport modeling, experimental techniques like PIV for complex flows, and integration of machine learning approaches. The research shows progression from fundamental fluid mechanics to practical applications in natural hazard assessment and river engineering, with particular attention to granular segregation, avalanche-obstacle interactions, and river morphodynamics. Associate Editor, Water Resources Research Co-founder of Toraval, an engineering consulting firm specializing in avalanche risk management Dr. Ancey teaches courses on Fluid Mechanics, Flood and Dam Break Waves, Hydrological Risks and Structures, and Similarity and Transport Phenomena in Fluids. He has supervised numerous PhD students whose work spans environmental hydraulics, granular flows, and sediment transport, with current students including Chen Yanan, Farazande Sofi, and Giboulot Axel Loïc among others.

Konstantinos Karapiperisمشاهده پروفایل

استادیار

• Solid Mechanics
• Multiscale Modeling
• Data Science
• +۷ مورد دیگر

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.

Edward Andòمشاهده پروفایل

پژوهشگر

• 3D Image Analysis
• Digital Volume Correlation
• X-ray Tomography
• +۵ مورد دیگر

Edward Andò is a Principal Scientist and Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) , with affiliations to the IMAGING group and the College of Engineering (ENAC) . His work bridges software development, experimental geomechanics, and educational initiatives in image analysis. Principal Scientist, IMAGING-GE (EPFL) Lecturer, Sciences et Génie Civil (SGC-ENS) Lecturer, Enseignement à la Défense (EDEE-ENS) Research Interests Andò specializes in 3D image analysis , with a focus on X-ray tomography , digital volume correlation (DVC) , and micromechanical modeling of granular materials. His work addresses geomechanical failure mechanisms, soil dynamics, and open-source software tools like SPAM for practical material analysis. Publication Trends His recent articles (2025–2023) emphasize X-ray tomography for studying granular deformation , rock failure , medical imaging , and soft particle compaction . Topics span geomechanics, computational modeling, and software development for experimental validation. Labs and Teams Andò contributes to the IMAGING group at EPFL, where he co-develops the SPAM (Software for Practical Analysis of Materials) . His teaching includes courses like Fundamentals of Image Analysis and Quantitative Imaging for Engineers , which integrate hands-on training with theoretical frameworks.

Christoph Müllerمشاهده پروفایل

استاد

• Energy Science and Engineering
• Heterogeneous Catalysis
• CO₂ Capture and Conversion
• +۳ مورد دیگر

Christoph Müller is a Full Professor of Energy Science and Engineering at ETH Zürich's Department of Mechanical and Process Engineering. He leads the Laboratory of Energy Science and Engineering, focusing on sustainable energy generation, heterogeneous catalysis, and granular systems. His research integrates experimental methods like Magnetic Resonance Imaging (MRI) and Discrete Element Modelling (DEM) with mathematical modeling to address industrial energy challenges. Education: Dipl.-Ing. from Technical University of Munich (2004), PhD in Chemical Engineering from the University of Cambridge (2008). Notable awards include the Danckwerts-Pergamon Prize (2009) and DAAD Scholarship (2005). He teaches courses such as Thermodynamics I and Thermo- and Fluid Dynamics. Research interests span CO₂ capture via chemical looping, catalytic hydrogenation, and granular flow dynamics. Recent work explores catalyst design for propane dehydrogenation, MXene-based ammonia synthesis, and MgO-based CO₂ sorbents. His lab employs advanced techniques like operando X-ray absorption spectroscopy to study catalyst behavior under reaction conditions. Key achievements include developing stable PtGa propane dehydrogenation catalysts and advancing understanding of Na₂CO₃-promoted CO₂ sorbents. His work on fluidized bed hydrodynamics via MRI contributes to reactor design optimization. Müller's interdisciplinary approach bridges fundamental science and industrial application, addressing global energy sustainability challenges.

Ralf Hiptmairمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Finite Element Methods
• +۷ مورد دیگر

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.

• Power Electronics
• Semiconductor Device Modeling
• Electromagnetic Modeling
• +۲ مورد دیگر

Dr. Ivana Kovacevic is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. Her research focuses on power electronics, semiconductor device modeling, and electromagnetic analysis of wide bandgap devices. ETH Zürich, Department of Information Technology and Electrical Engineering Contact: kovacevic@aps.ee.ethz.ch Her research explores SiC power MOSFETs, emphasizing their dynamic performance, reliability, and optimization through advanced modeling techniques like the Partial Element Equivalent Circuit (PEEC) method. She investigates parasitic extraction, thermal behavior, and stability issues in power modules, contributing to design improvements for high-efficiency systems. Her publications highlight trends in electromagnetic modeling, device-circuit interactions, and reliability analysis under extreme conditions. Key subfields include gate resistance dynamics, frequency-dependent capacitances, and multi-chip module design. Current projects involve virtual prototyping for power electronics and mission profile-based optimization of wearable power systems.

Jörg Nickمشاهده پروفایل

پژوهشگر

• Partial Differential Equations
• Wave Phenomena
• Numerical Analysis
• +۳ مورد دیگر

Jörg Nick is a Postdoctoral researcher at the Seminar for Applied Mathematics at ETH Zurich, Switzerland. His academic journey includes a Doctorate degree in Mathematics from the University of Tübingen (2023) under Prof. Christian Lubich and an MSc in Mathematics from the same institution (2018). He previously held a postdoctoral position at the University of Tübingen (2023) and was a doctoral researcher there from 2018 to 2023, associated with the Deutsche Forschungsgemeinschaft (DFG) project Wave phenomena: analysis and numerics , specifically Project A2 on numerical methods for wave problems with nontrivial boundary conditions. His research focuses on the numerical analysis of partial differential equations (PDEs), particularly wave scattering and metamaterials. Key areas include integral equations for PDEs, dynamical parametric approximation, numerical methods for time-dependent metamaterials, and inverse problems in wave phenomena. His work often integrates the Boundary Element Method (BEM) and Convolution Quadrature (CQ) to analyze wave scattering and subwavelength resonators. Notable contributions include studies on electromagnetic scattering from dispersive materials, time-periodic coefficients in wave equations, and regularized parametric approximation techniques. His research bridges theoretical developments with practical applications in metamaterials and medical imaging (e.g., anomaly detection in capsule endoscopy using ensemble learning). His academic affiliations include the Collaborative Research Center (CRC) 1173 at Tübingen and current participation in ETH Zurich’s mathematical and computational initiatives. While no formal awards are listed, his prolific publication record reflects sustained contributions to numerical mathematics and applied physics.

• Multiresolution Methods
• Numerical Analysis
• Computational Mathematics
• +۴ مورد دیگر

Michael Multerer is an Associate Professor at the Faculty of Informatics, Università della Svizzera italiana (USI). His research focuses on multiresolution methods, scattered data analysis, and numerical analysis with applications in computational mathematics and engineering. He leads projects such as the SNSF Starting Grant on multiresolution methods for unstructured data, emphasizing nonlinear approximation and kernel-based techniques. Research Interests: Development of fully discrete multiresolution methods for unstructured data Wavelet theory and kernel matrix algebra Uncertainty quantification in partial differential equations Scattered data compression and approximation Key Software Contributions: FMCA: Fast multiresolution covariance analysis for scattered data Bembel: Boundary element library for solving Laplace and Helmholtz equations SPQR: Anisotropic sparse grid quadrature in MATLAB Funding: Holder of the SNSF Starting Grant (2025) for advancing multiresolution techniques in unstructured data processing. Labs/Teams: Active in the research group at USI’s Faculty of Informatics, collaborating with institutions like TU Darmstadt and University of Basel on numerical methods and engineering applications.

Yasser Safaمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Multiphysics Modeling
• Solid Mechanics
• +۷ مورد دیگر

Dr. Yasser Safa is a Researcher at the Institute of Computational Physics (ICP) within the School of Engineering at Zurich University of Applied Sciences (ZHAW), leading the Multiphysics Modeling and Imaging research group. His work focuses on advanced computational techniques for solving complex engineering problems across energy systems, materials science, and mechanical design. His educational background includes a PhD from École polytechnique fédérale de Lausanne (EPFL) in 2005, where his thesis addressed numerical simulations of thermo-magneto-hydrodynamic phenomena in aluminum reduction cells. This foundation in coupled physics has driven his subsequent research in multiphysics modeling. Dr. Safa's research spans computational mechanics, solid mechanics (particularly nonlinear elasticity and buckling), corrosion engineering, additive manufacturing, metamaterials, and energy systems including fuel cells and wind power. His methodology emphasizes developing validated numerical models for real-world engineering challenges, often involving thin-film mechanics, material degradation, and structural integrity under extreme conditions. Recent work demonstrates increasing focus on renewable energy systems and advanced manufacturing processes. Analysis of his 15 most recent publications reveals strong thematic continuity in computational mechanics applied to energy and materials, with growing emphasis on wind energy systems and corrosion phenomena. His work consistently bridges theoretical mechanics with industrial applications, particularly in micro-fabrication and energy conversion technologies. He has secured and led multiple research projects including ongoing work on corrosion of multiphasic alloys and completed projects on airborne wind power systems, metamaterial wave guides, and additive manufacturing. These projects demonstrate his ability to translate computational expertise into practical engineering solutions across diverse domains. As part of ZHAW's ICP research group, Dr. Safa contributes to developing advanced computational tools for imaging and modeling physical systems, maintaining strong industry connections particularly in energy technology sectors. His current work continues to address critical challenges in material durability and energy system design through sophisticated numerical approaches.

• Plasmonics
• Nanotechnology
• Optical Physics
• +۳ مورد دیگر

Thottungal Valapu Raziman is a former researcher at EPFL, known for contributions to plasmonics and nanotechnology. Their work focuses on hybrid metal-dielectric systems, optical forces, and computational modeling of plasmonic nanostructures. They completed a doctoral thesis on advanced numerical methods for plasmonic systems, emphasizing surface integral equation (SIE) techniques. Raziman collaborated extensively with Olivier J.F. Martin and others, exploring applications in refractive index sensing, Raman scattering enhancement, and nanofabrication. Their research bridges theoretical modeling and experimental nanostructure design, with affiliations to EPFL units including Nam (Nanotechnology and Microengineering) and Bios (Bioscience Instrumentation). Key research interests include plasmonic metasurfaces, optical trapping mechanisms, and the interplay between nanostructure geometry and optical properties. Raziman’s publications span high-impact journals like Nano Letters and Faraday Discussions , addressing topics from refractive index sensing to polarization-dependent force dynamics. Their computational work improved numerical accuracy in simulating plasmonic systems, while experimental studies demonstrated novel sensing and enhancement mechanisms.

• Scaled Boundary Finite Element Method (SBFEM)
• Composite Structures Analysis
• Fracture Mechanics
• +۳ مورد دیگر

Adrian Egger is an academic affiliated with ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, part of the College of Architecture, Civil and Environmental Engineering. His research focuses on advanced numerical methods like the Scaled Boundary Finite Element Method (SBFEM), with applications in composite materials, fracture mechanics, and structural analysis. He has contributed to studies on topology optimization, stress intensity factor accuracy, and crack propagation modeling. Additionally, he has collaborated on astrophysics projects involving gamma-ray detection using novel telescope designs. Egger earned his doctoral degree from ETH Zurich in 2020 and has published extensively in journals and conferences. His work bridges computational mechanics with practical engineering challenges, emphasizing multiscale approaches and innovative numerical techniques.

• Fluid-Structure Interaction
• Geophysics Applications
• Immersed Boundary Methods
• +۳ مورد دیگر

Maria Giuseppina Chiara Nestola is a Researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), and partially affiliated with the Department of Earth Sciences at ETH Zurich. Her work focuses on developing advanced numerical methods for fluid-structure interaction (FSI), immersed boundary techniques, and fracture network modeling in biomedical and geophysical contexts. She contributes to projects like FASTER (geothermal reservoir simulations) and HPC-PREDICT (cardiovascular prognosis), and leads software development for tools like AV-FLOW (FSI library), Parrot (fracture network modeling), and Utopia (linear algebra). Her research integrates high-performance computing with applications in geophysics (e.g., seismic hazard assessment, geothermal systems) and biomechanics (e.g., aortic valve dynamics, turbulent blood flow). Key collaborations include the Center for Computational Medicine in Cardiology and the Swiss Competence Center for Energy Research (SCCER-SoE). She holds roles as FOMICS administrator and project co-PI/co-investigator in PASC initiatives. Her technical expertise spans parallel algorithms, embedded finite-element methods, and multi-physics simulations. Current efforts emphasize real-time geothermal reservoir modeling using Multilevel Monte Carlo methods and benchmarking fracture flow simulations.

Martin Werner Lichtمشاهده پروفایل

مدرس

• Finite Element Methods
• Finite Element Exterior Calculus
• Structure-preserving Numerical Methods
• +۶ مورد دیگر

Martin Werner Licht is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the Department of Mathematics within the School of Basic Sciences. He holds the position of Bernoulli Instructor at EPFL since September 2021, following his time as a Visiting Assistant Professor at UC San Diego from 2017-2021. His educational background includes a PhD in Mathematics from the University of Oslo (2014-2017), and dual Diplom (Master's) degrees in Computer Science and Mathematics from the University of Bonn, Germany (2006-2013). PhD in Mathematics, University of Oslo, Norway (2014-2017) Diplom in Computer Science, University of Bonn, Germany (2006-2013) Diplom in Mathematics, University of Bonn, Germany (2006-2012) Licht's research focuses on finite element methods for partial differential equations, particularly in electromagnetism and general relativity. His work centers on finite element exterior calculus, structure-preserving numerical methods, and geometric analysis. He has made significant contributions to understanding discrete distributional differential forms and smoothed projections in weakly Lipschitz domains. His recent publications demonstrate a strong focus on theoretical aspects of finite element methods, with particular attention to de Rham complexes, Poincaré-Friedrichs inequalities, and geometric transformations. His work bridges pure mathematical theory with practical computational applications, especially in numerical simulations of physical phenomena. Licht has co-organized the international workshop 'Structure-Preserving Numerical Methods for Partial Differential Equations' at the Bernoulli Center in Lausanne (2023) and regularly presents at major conferences including SIAM Annual Meetings and ENUMATH. He has supervised several undergraduate students including Zhao Lyu (who received the 2018 Physical Sciences Dean's Undergraduate Award for Excellence at UC San Diego), Tharindu Fernando, Xinyi He, Jiyue Zeng (who received the 2020 Physical Sciences Dean's Undergraduate Award for Excellence), and Tâm Johan Nguyen. Licht teaches various mathematics courses at EPFL including Analysis III/IV, Numerical Methods for Conservation Laws, and Numerical Approximation for Partial Differential Equations. His teaching reviews note that he is 'easy to understand despite French accent and explains examples very well.'

• NMR Spectroscopy
• Machine Learning
• Fluid Dynamics
• +۲ مورد دیگر

Prof. Dr. Dirk Wilhelm serves as Dean of the School of Engineering and Professor of Medical Physics at Zurich University of Applied Sciences (ZHAW). With extensive experience spanning academic leadership and industry R&D, his work focuses on integrating computational methods with experimental physics. His research bridges NMR spectroscopy, fluid dynamics, and machine learning, with particular emphasis on: Developing deep learning frameworks for NMR spectral analysis and classification Modeling fluid-structure interactions in biomedical devices Advancing computational fluid dynamics for industrial applications Designing cryogenic instrumentation for high-resolution spectroscopy Recent publications demonstrate a strong trend toward AI-driven analytical methods in NMR spectroscopy, with several studies focusing on spectral deconvolution, multiplet classification, and signal processing using deep neural networks. Earlier foundational work established expertise in computational fluid dynamics, particularly in instability analysis and multiphase flow modeling. His research group actively collaborates with industrial partners including Bruker BioSpin, with projects ranging from microturbine design to pharmaceutical pump optimization.