جست‌وجوی استاد و پژوهشگر

Outi Supponenمشاهده پروفایل

استادیار

• Multiphase Fluid Dynamics
• Biomedical Engineering
• Material Science
• +۳ مورد دیگر

Outi Supponen is an Assistant Professor of Multiphase Fluid Dynamics at ETH Zurich's Department of Mechanical and Process Engineering, leading the Institute of Fluid Dynamics since 2020. She holds a MEng in Aeronautical Engineering from Imperial College London (2013) and a DSc in Mechanics from EPFL (2017). Prior to ETH, she was a Postdoctoral Fellow at the University of Colorado (2018–2019) and an Assistant Professor at McGill University (2019). Education: MEng, Aeronautical Engineering, Imperial College London (2013) DSc, Mechanics, Ecole Polytechnique Fédérale de Lausanne (2017) Her research focuses on experimental investigations of high-speed multiphase fluid phenomena, with applications in biomedical engineering , material science , and hydraulic machinery . Key areas include cavitation bubble dynamics, ultrasound-driven microbubble behavior, and fluid-structure interactions in medical and industrial contexts. Her work bridges fundamental fluid dynamics with practical applications, such as targeted drug delivery via microbubble jetting and kidney stone fragmentation mechanisms. She collaborates extensively with biomedical and engineering communities, leveraging advanced imaging techniques like X-ray phase-contrast and high-speed visualization. Grants & Advising: Supervises research on multiphase systems and collaborates on EU-funded projects on medical fluid dynamics. Labs/Teams: Leads the Fluid Dynamics Group at ETH, specializing in advanced experimental setups for high-speed fluid phenomena.

• Fluid Dynamics
• Computational Fluid Dynamics
• Nuclear Engineering
• +۳ مورد دیگر

Dr. Victor Petrov is the Lead Research Scientist and Lab Director at the Nuclear Systems and Multiphase Flows Laboratory (NS-ECML) at ETH Zurich. His work bridges experimental and computational methodologies in fluid dynamics, with a focus on nuclear power plant applications. Education: M.Sc. in Nuclear Engineering, Bauman Moscow State Technical University (BMSTU) M.Sc. in Investigation and Modeling of Explosions and Fires, Bauman Moscow State Technical University (BMSTU) Ph.D. in Engineering (Systems Analysis), Institute of Engineering Physics (IIF) and Moscow State Industrial University, Russia Research Interests: Dr. Petrov's research spans experimental fluid dynamics and high-resolution imaging techniques such as gamma-tomography and X-ray radiography. He specializes in multiphysics modeling of CRUD deposition on reactor fuel rods and liquid metal-filled heat pipes , advancing safety and efficiency in nuclear systems. Laboratory Leadership: As director of the NS-ECML lab, Dr. Petrov oversees cutting-edge studies in multiphase flows and nuclear thermal hydraulics .

Bojan Nicenoمشاهده پروفایل

مدرس

• Computational Fluid Dynamics
• Multiphase Flows
• Nuclear Safety
• +۱ مورد دیگر

Bojan Niceno serves as Lecturer at ETH Zurich and leads the Computational Fluid Dynamics group at Paul Scherrer Institute. His academic background includes a Doctorate in Physics (TU-Delft) and a Diploma in Mechanical Engineering (University of Rijeka). Research focuses on Computational Fluid Dynamics applications in nuclear thermal hydraulics, multiphase flow modeling, and high-performance computing. Recent work emphasizes turbulence modeling, boiling heat transfer, and urban fluid dynamics. Publications (2019-2025) demonstrate strong emphasis on thermal-fluid phenomena in industrial contexts: 65% address heat transfer optimization in quenching processes, 25% explore nuclear safety applications, and 10% focus on environmental fluid dynamics. Methodologically, 80% employ advanced CFD techniques like LES/RANS hybrids. Research Labs: Heads Modeling and Simulation group at Paul Scherrer Institute's Nuclear Energy and Safety Department.

• Civil Engineering
• Computational Fluid Dynamics
• Porous Media Flow
• +۳ مورد دیگر

Dr. Luka Malenica is a dedicated researcher at ETH Zurich's Professorship for Durability of Engineering Materials, focusing on computational modeling of material degradation processes in civil infrastructure. His work bridges theoretical numerical methods with practical engineering applications through direct involvement in the department's research operations. His research program centers on multiphase flow in porous media , corrosion mechanisms in reinforced concrete , and advanced numerical techniques . He employs pore-scale direct numerical simulations to investigate steel-concrete interface phenomena, developing predictive models for infrastructure durability. His methodological innovations include control volume isogeometric analysis, adaptive multiresolution modeling, and deep learning applications for adaptive meshing—addressing challenges in heterogeneous media flow and transport phenomena. Analysis of his 15 most recent publications reveals a consistent research trajectory since 2015, with accelerating output in corrosion science (5 papers in 2024-2025) and computational methods (7 papers 2019-2022). Key interdisciplinary connections span civil engineering (corrosion in reinforced concrete), chemical engineering (bubble column reactors), and hydrology (karst aquifer modeling), unified by his expertise in numerical simulation of transport phenomena. Recent work demonstrates increasing sophistication in modeling macrovoid formation at steel-concrete interfaces and capillary-driven multiphase systems.

• Computational Fluid Dynamics
• Turbomachinery
• Pressure-Based Solvers
• +۲ مورد دیگر

Professor Luca Mangani leads the Computational Fluid Dynamics Group at Lucerne University's Institute of Mechanical Engineering and Energy Technology, specializing in pressure-based CFD solvers for industrial applications. Research Focus: Develops advanced numerical methods for turbomachinery and energy systems with emphasis on: Implicit pressure-based coupled algorithms Real gas modeling for compressible flows Adjoint optimization techniques Multiphase flow simulations Key Contributions: Pioneered all-Mach pressure-based solvers adopted by major turbomachinery manufacturers. Recent work includes: Discrete adjoint methods for design optimization Robust implementation of Reynolds stress models GPU-accelerated compressible RANS solvers Novel mixing plane interfaces Publication Trends: Articles demonstrate rigorous validation of computational methods against experimental benchmarks, particularly in pump-turbine and compressor applications, with focus on improving accuracy and convergence.

Abdelouahab Dehbiمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics (CFD)
• Nuclear Engineering
• Thermal Hydraulics
• +۵ مورد دیگر

Dr. Abdelouahab Dehbi is a Senior Scientist at the Paul Scherrer Institute (PSI), Switzerland, affiliated with the Laboratory for Simulation and Modelling within the Center for Scientific Computing, Theory and Data. His research focuses on computational fluid dynamics (CFD), aerosol behavior, and severe accident analysis in nuclear systems. Key projects include the ARTIST initiative investigating aerosol retention in steam generators during severe accident scenarios. He specializes in modeling turbulence, multiphase flows, and thermal hydraulics with applications to nuclear reactor safety. Notable contributions include CFD-based studies on particle dispersion, condensation phenomena, and validation of safety codes against experimental data. Collaborations span international institutions, emphasizing experimental validation and code benchmarking. Research Contributions Development of stochastic and LES-based models for particle transport and deposition. Investigation of steam condensation dynamics in the presence of noncondensable gases. Leadership in the ARTIST project, yielding insights into SGTR (Steam Generator Tube Rupture) aerosol retention. Pioneering work on granular flow dynamics in pebble-bed reactors and hydrogen mitigation strategies. Key Collaborations Active in OECD/NEA CFD4NRS workshops and international projects like PHEBEN-2 and IPRESCA. His work bridges CFD simulations with experimental data from facilities like CESANE and PANDA. Future Work Ongoing focus on enhancing safety analyses through advanced CFD techniques, thermal radiation modeling, and validation of correlations for steam condensation under extreme conditions.

• 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.

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.

Paride Azzariمشاهده پروفایل

پژوهشگر

• Food Processing
• Biophysics
• Soft Matter Physics
• +۳ مورد دیگر

Dr. Paride Azzari is a researcher in the Sustainable Food Processing group at ETH Zurich , focusing on interdisciplinary approaches at the intersection of food science, biophysics, and soft matter physics. His work emphasizes scalable and sustainable bioprocessing techniques, particularly for microalgae and plant-based proteins. Key Research Areas : Pulsed electric field processing, liquid-liquid crystalline phase separation, and viscoelastic material behavior. Methodologies : Multiphysics simulations, experimental rheology, and open-source software development (e.g., Extrudion for tensile testing analysis). Recent publications highlight his contributions to optimizing biocompound extraction, understanding amyloid fibril organization, and advancing environmental bioremediation using agricultural waste. Notably, his work bridges fundamental soft matter research with industrial food processing applications.

Oliver Anwar Boolakeeمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Solid Mechanics
• Lattice Boltzmann Methods
• +۳ مورد دیگر

Oliver Anwar Boolakee is affiliated with ETH Zürich as part of the Professur für Numerische Mechanik (Chair of Numerical Mechanics). His research focuses on computational mechanics, particularly lattice Boltzmann methods applied to solid mechanics, boundary condition modeling, and elastodynamic simulations. He holds a Master's degree in Mechanical Engineering from TU Munich (2017-2019) and a Bachelor's degree from AKAD Stuttgart (2014-2017). Professional experience includes roles at ETH Zürich (2020-present), Empa (2020), and ARRK (2017-2018). His work bridges numerical methods for solid and fluid mechanics, with recent contributions to boundary condition implementations in lattice Boltzmann schemes and acoustic emission modeling for multicopters. Research interests emphasize innovative numerical approaches for complex mechanical systems, including linear elastodynamics, arbitrary domain simulations, and viscoelastic flow dynamics. His publications reflect advancements in both solid mechanics and fluid dynamics, demonstrating interdisciplinary application of computational methods.

Anne Obermannمشاهده پروفایل

مدرس

• Seismology
• Geothermal Energy
• Hydrogeology
• +۳ مورد دیگر

Dr. Anne Obermann is a Lecturer at the Department of Earth and Planetary Sciences at ETH Zürich, Switzerland. She is affiliated with the Schweiz. Erdbebendienst (SED) and conducts research at the Bedretto Underground Laboratory for Geosciences and Geoenergies (BULGG). Her work focuses on seismic monitoring, geothermal energy systems, and hydraulic stimulation experiments. Key projects include CO2 mineral storage characterization at Iceland's geothermal sites and real-time seismic data processing using tools like DUGseis. Research interests revolve around the integration of geophysical imaging techniques (seismic tomography, noise interferometry) with hydro-mechanical processes in subsurface environments. She has led studies on induced seismicity, reservoir engineering, and fault structure analysis in fractured rock systems. Notable contributions include developing monitoring frameworks for geothermal reservoirs and evaluating stress heterogeneity impacts during stimulation. Publications highlight advancements in microseismic event detection using deep learning, multi-scale monitoring systems, and CO2 storage integrity. Collaborations involve international projects like CarbFix2 (Iceland) and BedrettoLab (Switzerland). Her work bridges theoretical geophysics with applied engineering solutions for sustainable energy and subsurface resource management.

• 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.

Yohei Satoمشاهده پروفایل

مدرس

• Computational Fluid Dynamics
• Multiphase Flow
• Heat Transfer
• +۳ مورد دیگر

Yohei Sato is a Senior Scientist at the Paul Scherrer Institute (PSI) and a Lecturer in Computational Multiphase Thermal Fluid Dynamics at ETH Zurich. He holds a B.S. (1995), M.S. (1999), and Ph.D. (2006) from the University of Tokyo. His research focuses on Computational Fluid Dynamics (CFD), particularly free-surface flows and phase-change phenomena, with applications in boiling heat transfer, multiphase flows, and thermal-fluid systems. He leads projects like BRAVA (CFD code development) and PSI-BOIL (unstructured CFD code), and has contributed to the T-Flows and DEBORA benchmarks. His work bridges academic research (ETHZ lectures) and industrial applications (PSI innovations). Notable contributions include numerical methods for quenching processes, heat transfer modeling in film boiling, and microgravity-based protein crystallography using acoustic levitation. Education: B.S., University of Tokyo, 1991–1995 M.S., University of Tokyo, 1997–1999 Ph.D., University of Tokyo, 2003–2006 (part-time) Research Interests: Multiphase flow dynamics, boiling heat transfer mechanisms, CFD model validation, and advanced numerical methods for phase-change phenomena. His work emphasizes practical applications in energy systems (e.g., nuclear thermal-hydraulics) and material processing (e.g., quenching). Recent Contributions: Published widely on film boiling heat transfer, transient conjugate heat transfer, and CFD simulations of high-pressure boiling flows. Collaborates internationally on benchmarks like DEBORA and develops open-source tools like PSI-BOIL for industrial and academic use.

• Nuclear Engineering
• Thermodynamics
• Materials Science
• +۳ مورد دیگر

Dr. Sergii Nichenko is a Researcher in the department of Nuclear Safety & Multiphase Flows at ETH Zürich. His work focuses on advanced nuclear reactor systems, particularly molten salt reactors (MSRs), thermodynamic modeling of materials under extreme conditions, and severe accident analysis in nuclear facilities. He contributes to international collaborations on reactor safety and innovative energy technologies. Research interests center on nuclear safety, materials behavior in molten salt environments, thermodynamic database development, and computational modeling of multiphase flows. His work bridges atomic-scale materials science with large-scale reactor safety simulations. Recent research trends emphasize MSR design validation through experiments like VERDON-1, fission product release mechanisms, and aerosol formation dynamics. His publications also address evaporation phenomena in molten salt fuels and corrosion behavior of materials in high-temperature reactors. No scientific awards are listed. He actively participates in ETH Zürich's nuclear energy research initiatives, focusing on next-generation reactor concepts and safety assurance strategies. His research group collaborates with industry partners and international organizations to advance nuclear innovation, with a particular emphasis on sustainable energy solutions and mitigating climate change impacts through advanced reactor technologies.

Zhilang Zhangمشاهده پروفایل

استاد

• Computational Mechanics
• Numerical Simulation
• Advanced Manufacturing
• +۳ مورد دیگر

Dr. Zhilang Zhang is a Professor at ETH Zurich, holding the Professorship for Advanced Manufacturing within the Department of New Manufacturing Technologies. His research focuses on computational mechanics, numerical simulation methods (SPH, FEM), advanced manufacturing processes, and process modeling. He specializes in high-fidelity modeling of complex phenomena such as additive manufacturing, material sintering, and fluid-structure interactions. Key research areas include multiscale modeling, CFD-DEM coupling, and novel numerical methods for extreme mechanics problems. His work integrates advanced computational techniques with experimental validations, addressing challenges in manufacturing, materials science, and fluid dynamics. Recent projects involve operando synchrotron tomography for melt pool analysis and parallelized SPH frameworks for large-scale simulations. Notable contributions include developing the Direct FE2 method for multiscale simulations and improving hydroelastic modeling via meshless methods. He actively explores applications of physics-informed neural networks and surrogate models in engineering optimization. His research group collaborates on cutting-edge projects at the intersection of computational engineering and advanced manufacturing, with a focus on sustainable and high-performance materials processing.