جست‌وجوی استاد و پژوهشگر

• Stochastic Methods
• Fluid Dynamics
• Multiphase Flow
• +۷ مورد دیگر

PD Dr. Daniel Werner Meyer-Massetti is a Privatdozent (Part-Time Lecturer) at the Department of Mechanical and Process Engineering , ETH Zürich. His research focuses on stochastic methods for fluid dynamics and multiphase transport problems in complex systems. Primary Affiliation: ETH Zürich, Department of Mechanical and Process Engineering Email: meyerda@ethz.ch His work bridges theoretical and applied research in turbulence, porous media, and combustion. Key contributions include: Stochastic particle-based frameworks for fractured subsurface flows Turbulence modulation in droplet-laden flows Uncertainty quantification in heterogeneous reservoirs Computational tools like the Netflow Python library His recent publications demonstrate methodological advancements in: Modeling inertial particle clustering in turbulence Simulating evaporation dynamics in reactive flows Developing non-local transport formulations Quantifying dispersion mechanisms in porous media Validating kinematic turbulence models Creating adaptive simulation strategies He collaborates with research groups including the Coletti Group , Jenny Group , and Supponen Group , while maintaining connections to the Haller Group and Noiray People as a former member.

Alexandros Nordasمشاهده پروفایل

مدرس

• Computational Mechanics
• Underground Construction
• Tunneling
• +۷ مورد دیگر

Dr. Alexandros Nordas serves as a Lecturer and Senior Scientific Associate in the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich, specializing in the Chair of Underground Construction (Professur für Untertagbau). His primary institutional affiliation is with ETH Zürich's Institute for Geotechnical Engineering (IGT), where he maintains an active research and consulting profile. His educational background includes a 5-year Diploma in Civil Engineering (Honours, 2nd rank) from the National Technical University of Athens (2013), an M.Sc. in Advanced Structural/Earthquake Engineering (Distinction, top of department) from Imperial College London (2014), and a Ph.D. in Computational Structural Mechanics from Imperial College London (2019). Nordas's research focuses on life-cycle computational simulation of underground systems , particularly for radioactive waste repositories, with expertise in time-dependent ground processes, large deformation problems in rocks, and constitutive modeling. His work bridges industrial consulting—especially for Switzerland's Nagra radioactive waste disposal program—and academic innovation in computational mechanics, tunneling, and emerging applications of artificial intelligence in structural optimization. His publication record demonstrates strong thematic continuity in geomechanics and tunneling, with recent emphasis on TBM performance in challenging ground conditions, squeezing rock mechanics, and Opalinus Clay behavior for nuclear waste repositories. The research shows increasing integration of computational methods with practical engineering design. Telford Premium Prize (Institution of Civil Engineers) Letitia Chitty Centenary Memorial Prize (Imperial College) Patrick J Dowling Prize in Advanced Structural Engineering Imperial College-MIT Global Fellowship Multiple teaching excellence awards Nordas serves as an expert technical consultant for major industrial underground infrastructure projects, particularly Switzerland's planned geological radioactive waste repository. His consulting directly informs his research agenda, creating a robust industry-academia feedback loop. While no specific grants are mentioned, his Nagra-related work implies substantial project funding. He also contributes to ETH's academic mission through courses including Underground Construction I and III.

• Biosensors
• Microfluidics
• Advanced Manufacturing
• +۵ مورد دیگر

Jérôme Charmet is an Associate Professor at the University of Applied Sciences Arc (HES-SO) and holds adjunct positions at the University of Bern (School of Biomedical and Precision Engineering) and the University of Warwick (Warwick Medical School). His research focuses on biomedical engineering , microfluidics , and advanced manufacturing for medical devices. BSc in Microtechniques, Haute Ecole Arc MSc in Biomedical Engineering, University of Bern Current research projects include: Bacterial Suicide (HES-SO funded): Treating biomaterial-associated infections on 3D-printed implants HYPERCELL (SNSF funded): Developing single-cell T cell therapy efficacy assays ELUSIVE (HES-SO funded): Creating mechanically enhanced biodegradable PCBs Public Mask (HES-SO funded): Biodegradable electrospun mask filters His >50 publications and >1200 citations reflect expertise in biodegradable polymers , organic bioelectronics , and point-of-care diagnostics . Key technologies include microheater fabrication , immunoaffinity liquid biopsies , and contamination-free OFET manufacturing .

Torben Petersمشاهده پروفایل

مدرس

• 3D Computer Vision
• Deep Learning
• Generative Models
• +۲ مورد دیگر

Torben Peters is a Lecturer in the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. His research focuses on 3D computer vision, deep learning, and generative models applied to geospatial analysis and photogrammetry. Research Focus: Peters develops computational tools for processing LiDAR point clouds, aerial imagery, and satellite data. His work enables automated environmental monitoring (e.g., forest inventories and avalanche mapping) and urban modeling through advanced segmentation and 3D reconstruction techniques. Generative models like TetraDiffusion expand capabilities in geometric deep learning. Publication Trends: Recent articles emphasize scalable geospatial AI, including war damage assessment in Ukraine, global biomass datasets, and self-supervised shape completion. Methodological innovations center on reducing annotation dependencies and improving geometric accuracy. Teaching: Leads courses on image-based mapping and geodetic data processing at ETH Zürich.

• Business Analytics
• Data Science
• Crowdsourcing
• +۵ مورد دیگر

Prof. Dr. Ivo Blohm is an Associate Professor of Information Management with a focus on Business Analytics at the Hasso Plattner Institute of Management and Digitization (HPI-St. Gallen), University of St. Gallen. His work bridges academic research and practical applications in digital transformation, with expertise spanning AI-driven decision support systems, crowdsourcing governance, and agile work practices. He holds a leadership role in advancing data science methodologies and their integration into organizational frameworks. His research interests emphasize leveraging AI and data analytics to enhance business processes, particularly through generative AI architectures, decision-making interfaces, and platform-driven innovation. Notable contributions include frameworks for conversational AI implementation, governance mechanisms for crowdfunding platforms, and strategies for internal crowd work empowerment. He has collaborated with organizations like Lufthansa to design leadership development programs for data-driven transformation. Blohm's publications (2014-2025) explore topics such as AI accountability in workplaces, hybrid human-AI creativity systems, and the socio-technical dynamics of digital work. His work often addresses ethical dimensions of emerging technologies and their implications for organizational structures. Despite his prolific output, no scientific awards are explicitly listed in the provided materials. His advising and grant activities are not detailed here, though his research collaborations indicate engagement with industry partners. He is actively involved in designing frameworks for data products (e.g., data mesh) and refining agile practices in large-scale organizations. No specific lab affiliations are mentioned, though his work often involves cross-disciplinary teams focusing on digital innovation challenges.

• 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.

• Hydropower
• Computational Fluid Dynamics (CFD)
• Hydraulic Machines
• +۳ مورد دیگر

Dr. Cécile Münch-Alligné is an Ordinary Professor at the School of Engineering, HES-SO Valais-Wallis. She leads the Hydroelectricity research group and Renewable Energies orientation, focusing on sustainable energy systems and advanced turbine technologies. BSc in Industrial Systems from HES-SO Valais-Wallis MSc in Engineering from HES-SO Master Her research spans hydropower innovation, computational fluid dynamics (CFD) simulations, and flexible energy systems. Key projects include: Swiss Competence Center for Electricity (SCCER) phases I & II Xflex Hydro for hydraulic short-circuit technology TUNE micro-turbine deployment in urban networks Scientific contributions emphasize Pelton/Francis turbine dynamics, vortex rope behavior, and pumped storage optimization. She pioneered counter-rotating microturbine applications in water networks and advanced diagnostic methods for turbine fatigue analysis. Collaborations include industry partners like Stahleinbau GmbH, The Ark, and FMHL/FMHL+ hydropower plants. Her work bridges numerical simulations with field validation, targeting energy efficiency improvements and operational longevity.

Taras Geryaمشاهده پروفایل

استاد

• Geodynamics
• Plate Tectonics
• Planetary Processes
• +۵ مورد دیگر

Prof. Taras Gerya is a faculty member at the Department of Earth Sciences of ETH Zurich since 2010, where he leads research in geodynamic and planetary numerical modeling. He previously held positions at the Institute of Experimental Mineralogy (1990-1999), Ruhr-University Bochum (2000-2004), and ETH Zurich as Senior Research Scientist (2004-2008) and Privatdozent (2008-2010). Education: MSc in Geology (1984), Tomsk Polytechnic University, USSR PhD in Petrology (1990), Moscow State University Habilitation in Petrology (1999), Moscow State University Habilitation in Geodynamics (2008), ETH Zurich Taras Gerya's research focuses on geodynamic numerical modeling of plate tectonics, subduction zones, mantle convection, planetary core formation, and lithospheric deformation. His work uses finite-difference and marker-in-cell techniques with visco-elasto-plastic rheology to simulate processes like slab breakoff, continental collision, and mantle wedge plumes. He emphasizes realistic physics, adaptive mesh refinement, and multi-phase interactions. His Introduction to Numerical Geodynamic Modelling (Cambridge, 2010) provides foundational MATLAB code examples for continuum mechanics, stress-strain analysis, and thermo-mechanical codes. Research trends show strong emphasis on subduction dynamics, mantle flow, and planetary surface structures. Scientific Awards: 2024 Augustus Love Medal (EGU) 2023 Golden Owl (3rd Mahl) for teaching excellence (VSETH) 2021 Francis Birch Lecture (AGU) 2020 Golden Owl (2nd Mahl) (VSETH) 2019 AGU Fellow 2018 Elected to Academia Europaea 2008 Golden Owl (VSETH) 2008 Top 50 Russian Scientists Abroad (Russian Newsweek) He has advised over 30 PhD/MSc students and supervised numerous postdocs. His group develops the I2(EL)VIS and I3(EL)VIS geodynamic modeling codes, integrating self-gravity, fluid transport, and surface processes.

Robert J. Flattمشاهده پروفایل

استاد

• Digital Fabrication
• Concrete Technology
• Material Science
• +۵ مورد دیگر

Prof. Robert J. Flatt is a Full Professor at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, and Deputy Head of the Institute for Building Materials. His research focuses on digital fabrication with concrete (Digital Concrete), extended reality (XR) for built heritage preservation, and concrete admixture science. He leads Design++, a center integrating AI, ML, and XR to reduce the environmental footprint of architecture, engineering, and construction (AEC). Flatt earned his PhD from EPFL (1999), conducted postdoctoral research at Princeton University, and previously led inorganic materials research at Sika Technology AG. Research interests span material science for heritage preservation, digital casting systems (e.g., 3D extrusion printing), and low-carbon cement development. His work emphasizes sustainability, interdisciplinary collaboration, and practical applications in construction. Notable contributions include the Mesh Mould technology and international conferences on digital concrete. Key awards include the Stephen Brunauer Award (twice), the RILEM Robert L Hermite Medal, and multiple Swiss and international technology awards. Flatt’s projects often involve industry partnerships, such as the Design++ initiative with 27 professorships and seven departments. Advising and grants: Leads interdisciplinary teams in ETH Zurich and collaborates with global industry partners. Current projects include demonstrators for digital fabrication at architectural scales and AI-driven design optimization. His labs include the Institute for Building Materials and the Design++ Center.

Federico Stellaمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• 3D Geometry Processing
• +۴ مورد دیگر

Federico Stella is a Researcher and Doctoral Assistant at the Computer Vision Laboratory (CVLAB) within the School of Computer and Communication Sciences (IC) at EPFL in Lausanne, Switzerland. His work focuses on advancing computer vision and 3D geometry processing through machine learning and neural network approaches. Research interests include implicit neural representations, 3D reconstruction, and applications of spherical CNNs for geometric problems. He has contributed to methodologies in mesh generation, surface detection, and self-supervised learning techniques. Recent publications highlight advancements in distance field networks, gradient-based surface detection, and differentiable meshing algorithms. His research bridges computer graphics and machine learning, with potential applications in robotics and virtual environments.

Liyang Chenمشاهده پروفایل

پژوهشگر

• X-ray Imaging
• Nanopatterning
• Materials Science
• +۳ مورد دیگر

Dr. Liyang Chen is a Researcher at ETH Zürich's Department of Information Technology and Electrical Engineering, affiliated with the Professorship for X-ray Imaging. His research focuses on advanced materials science, nanotechnology, and optoelectronics, with emphasis on X-ray imaging components, metallic micro-nano networks, and nanostructured materials. Key areas include nanopatterning techniques, strain engineering of 2D materials, and transparent electrode development. His work integrates fabrication methods like interference lithography and nanoimprint processes to advance optoelectronic and energy-related applications. Publications highlight contributions to metallic surface micropatterning, perovskite-based devices, and fog-harvesting materials. Chen’s interdisciplinary approach bridges materials synthesis, manufacturing processes, and device applications. His lab focuses on high-precision nanostructuring for next-generation optical and electronic systems, leveraging curved substrate technologies and hybrid modeling approaches.

• Clinical Biomechanics
• Orthopedic Implant Development
• Finite Element Analysis
• +۶ مورد دیگر

Eva Herbst is a postdoctoral researcher at the Institute for Biomechanics , ETH Zürich, and collaborates with the Schulthess Clinic . Her work bridges clinical biomechanics and paleontological research , focusing on shoulder implant development, finite element analysis, and evolutionary locomotion studies. Collaborators: Prof. Dr. Stephen Ferguson (ETH Zürich), Prof. Dr. med. Philipp Moroder (Schulthess Clinic), Prof. John Hutchinson (Royal Veterinary College). Coding & Tools: Developed the MyoGenerator Blender add-on for 3D muscle modeling and MATLAB scripts for joint mobility visualization. Her research spans implant constraint variability in shoulder arthroplasty, salamander locomotion kinematics, and fossil musculoskeletal reconstructions. Publications highlight interdisciplinary approaches combining medical imaging , computational modeling , and evolutionary biology . Her scientific resources include: MyoGenerator GitHub for muscle modeling workflows Figshare datasets for mouse epiphysis CT scans MorphoSource repositories for fossil and mammalian joint data

Pablo Antolin Sanchezمشاهده پروفایل

پژوهشگر

• Numerical Methods
• Computational Mechanics
• Isogeometric Analysis
• +۶ مورد دیگر

Pablo Antolin Sanchez is a Researcher and Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB) and the Department of Mathematics . He leads research at the Numerical Modelling and Simulation chair and contributes to teaching in mathematics and computational methods. Research interests include Isogeometric Analysis Computational Mechanics Numerical Methods for Structural Dynamics High-Performance Computing Machine Learning in Multiscale Modeling Recent publications focus on advanced isogeometric methods for shell structures reduced-order modeling for lattice systems machine learning integration in mechanics geometric modeling and mesh intersection Teaching roles encompass courses such as Numerical Approximation of PDEs and Parallel & High-Performance Computing . He has advised PhD student Ondine Gabrielle Chanon at EPFL.

Alexandre Caboussatمشاهده پروفایل

مدرس مشاور

• Numerical Analysis
• Scientific Computing
• Numerical Optimization
• +۵ مورد دیگر

Alexandre Caboussat is a Consultant Lecturer at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences in the Mathematics Department. He contributes to the Euler Programme and the SMA - Teaching unit, focusing on advanced mathematical analysis and computational methods. Research Interests : Numerical Analysis, Scientific Computing, Numerical Optimization, Variational Problems, Computational Fluid Dynamics, Free Surface Flows, Air Quality Modeling, and Computational Chemistry. His recent work emphasizes numerical methods for partial differential equations, particularly the Monge-Ampère equation, adaptive finite element techniques, and physics-informed neural networks. Applications span from optimal transport to laser surface melting and environmental flows. Students : Girardin Maude, Peruso Anna, Diserens Léo Aurélio, Gourzoulidis Dimitrios, Landry Chantal, Mrad Arwa. Contact : alexandre.caboussat@epfl.ch

Robert Boesمشاهده پروفایل

استاد

• Hydraulic Engineering
• Dam Safety
• Flood Protection
• +۳ مورد دیگر

Robert Boes is Full Professor and Director of the Laboratory of Hydraulics, Hydrology and Glaciology at ETH Zurich. His research advances hydraulic engineering for sustainable water resource management, focusing on dam safety, flood protection, and hydropower optimization. Research investigates multiphase flows, sediment transport, hydroabrasion, and eco-hydraulic solutions for fish migration. Current projects examine reservoir sedimentation management, impulse wave dynamics, and climate adaptation strategies for hydraulic infrastructure. Professor Boes received the Karl Emil Hilgard Hydraulic Prize (2023) for fundamental contributions to hydraulic research and the Golden Owl (2022) for teaching excellence. He serves on expert committees for the Swiss Federal Office of Energy and International Commission on Large Dams. Professional activities include consulting on major dam projects globally and developing safety guidelines through the Swiss National Committee on Dams.