جستجوی استاد راهنمای دانشگاهی

Eunok Yimمشاهده پروفایل

استادیار

• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• Hydropower Engineering
• +۴ مورد دیگر

Eunok Yim is a Tenure Track Assistant Professor in the Department of Mechanical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), leading research in fluid dynamics and hydropower technologies. She is affiliated with the Hydro Energy and Applied Fluid Dynamics Laboratory and contributes to the PhD program committee for Energy at EPFL. Education: B.Sc. and M.Sc. in Mechanical Engineering from KAIST, Korea (2010, 2012), Ph.D. in Fluid Dynamics from École Polytechnique, France (2015) Her research spans fluid stabilities , CFD numerical modeling , and applied fluid dynamics for hydropower . She has investigated centrifugal instabilities, Leidenfrost effects, and turbulent flow control. Her work appears in journals like the Journal of Fluid Mechanics and Physical Review Fluids . Recent publications focus on nonlinear instability modeling , vortex dynamics in stratified fluids , and flow control mechanisms . These studies highlight her expertise in both fundamental and applied fluid dynamics. She mentors PhD student Toledo Lester Corpin and teaches courses such as Introduction to Turbomachinery .

Johannes Josef Schneiderمشاهده پروفایل

پژوهشگر

• Applied Complex Systems Science
• Artificial Chemistry
• Microfluidics
• +۳ مورد دیگر

Dr. Johannes Josef Schneider is a Researcher at the Zurich University of Applied Sciences (ZHAW) School of Engineering, affiliated with the Applied Complex Systems Science research group. His work focuses on computational modeling of complex systems, particularly artificial chemistry and microfluidic droplet networks. Research interests span: Artificial chemistry implementation in droplet-based systems Geometric constraints in particle agglomeration 3D arrangement of droplets and vesicles Computational methods for pandemic intervention modeling Network formation in polydisperse systems Schneider has contributed to several key projects including Bio-HhOST (as Deputy Project Leader) and SARS-CoV-2 intervention modeling. His collaborative research involves extensive work on chemical programmability using droplet agglomerations and ethical aspects of computational modeling. Research outputs demonstrate consistent focus on: Development of computational frameworks for chemical synthesis Analysis of droplet dynamics in constrained geometries Modeling of spatial population dynamics Investigation of vesicular interactions

Roland Logéمشاهده پروفایل

دانشیار

• Microstructure Design in Metals and Alloys
• Thermo-Mechanical Treatments
• Multiscale Modeling
• +۶ مورد دیگر

Roland Logé is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI) and the Materials Institute (IMX) . He leads the Laboratory of Thermomechanical Metallurgy (LMTM) and contributes to doctoral programs in Advanced Manufacturing . Education: B.S. in Materials Engineering (1994), Université Catholique de Louvain (Belgium) M.S. in Mechanics (1995), University of California, Santa Barbara (USA) Ph.D. in Metal Forming (1999), Mines Paristech-CEMEF (France) Research Interests focus on microstructure design in metallic alloys , thermo-mechanical processing , and additive manufacturing . His work bridges experimental characterization and numerical modeling to optimize properties in stainless steels , magnesium alloys , nickel superalloys , and bulk metallic glasses . Scientific Awards 2022: Albert Portevin Medal , French Metallurgy and Materials Society (SF2M) 2021: THERMEC Distinguished Award 2008: Alcan Prize , French Academy of Sciences Advising includes mentoring 20+ PhD students in areas like selective laser melting , grain refinement , and phase transformations . His grants involve collaborations with CERN and industrial partners in nuclear and aerospace sectors.

Christian Matthias Schlepützمشاهده پروفایل

پژوهشگر

• Synchrotron Radiation
• X-ray Tomography
• 4D Imaging
• +۵ مورد دیگر

Christian Matthias Schlepütz serves as a Beamline Scientist at the Paul Scherrer Institute (PSI), specifically within the Center for Photon Science's Laboratory for Macromolecules and Bioimaging, where he leads research activities at the TOMCAT beamline. With over 15 years of experience in synchrotron-based structural investigations, Dr. Schlepütz has established himself as a leading expert in high-speed X-ray tomographic microscopy. PhD in Experimental Physics, University of Zürich (2009) Postdoctoral Research, University of Michigan (Ann Arbor, USA) Beamline Scientist, Advanced Photon Source (APS), Argonne National Laboratory (2011-2015) Beamline Scientist, TOMCAT Group, Swiss Light Source (2015-Present) Dr. Schlepütz's research focuses on resolving dynamic phenomena at the microscale in space and time through advanced X-ray imaging techniques. His work centers on developing and utilizing the unique capabilities of the TOMCAT beamline to collect X-ray tomographic microscopy datasets at unprecedented temporal resolutions, creating 4-dimensional microscopic movies of dynamic processes. His research spans multiple disciplines including materials science, biomechanics, geoscience, and food processing, with applications ranging from studying carbon fiber oxidation to visualizing sound-induced motion patterns in fish hearing structures. A significant achievement includes setting a speed record of 1000 tomographic scans per second at TOMCAT, while routinely providing sub-second time-resolutions of up to 20 tomographies per second to the user community. Analysis of Dr. Schlepütz's recent publications reveals a strong emphasis on pushing the boundaries of 4D imaging capabilities across diverse scientific domains. His work demonstrates consistent innovation in developing specialized sample environments and real-time reconstruction algorithms to expand the applicability of high-speed tomography. The research trends show increasing interdisciplinary collaboration, with publications spanning biological sciences, materials engineering, geoscience, and biomedical applications, all unified by the common thread of utilizing synchrotron-based X-ray imaging to capture previously invisible dynamic processes. Dr. Schlepütz actively contributes to the development of next-generation imaging capabilities through the SLS 2.0 upgrade project, working to establish the next generation of imaging beamlines at the Swiss Light Source. His technical expertise in both reciprocal space imaging using area detectors and real space 4D tomography positions him at the forefront of synchrotron-based structural investigation methodologies.

• Organic Chemistry
• Green & Sustainable Chemistry
• Process Chemistry
• +۴ مورد دیگر

Roger Marti is a Professor of Organic Chemistry & Process Chemistry at the HES-SO University of Applied Sciences and Arts Western Switzerland , affiliated with the Faculty of Chemistry and Life Sciences and the ChemTech Institute . He has led multiple HES-SO-funded projects, including Public Mask (protective filter development), Smart Hydrogels (tissue engineering), and BIOSMART (bio-based packaging). Education : PhD in Chemistry from ETH Zurich, postdoctoral training at Sandoz Pharma USA. Expertise : Synthetic organic chemistry, flow chemistry, sustainable polymer development, and heterogeneous catalysis. His research focuses on green chemistry and process intensification , particularly in: Single-atom catalysis for cross-coupling reactions Biodegradable polymers for medical and packaging applications Flow reactor design for scalable, safe chemical processes Techno-economic analysis of sustainable material production Recent publications highlight trends in bio-based polymers , flow chemistry safety , and catalyst reuse with environmental impact assessments. He collaborates with institutes like HEPPIA , ZHAW , and iRAP on sustainability projects. Current projects include CO2-neutral biofuels and electrospun biodegradable filters , funded by HES-SO and Swiss National Science Foundation. His work emphasizes closed-loop recycling and industrial feasibility of sustainable chemical processes.

• Geophysics
• Acoustic Sensing
• Ultrasound Imaging
• +۳ مورد دیگر

Johannes Aichele, PhD , is a researcher at the Institute of Geophysics of ETH Zürich. His work focuses on advanced wave physics and imaging techniques across geophysical and biomedical domains. Research interests include: Seismic monitoring of geohazards (rock slopes, debris flows) Shear-wave and elastography imaging Wave dynamics in porous/time-dependent materials Acoustic cloning and inverse problems High-frame-rate ultrasound applications Recent publications highlight innovations in distributed acoustic sensing, rupture nucleation imaging, and cross-domain applications of wave physics. Notable trends include real-time monitoring systems, computational wave modeling, and interdisciplinary approaches bridging geophysics and biomedical diagnostics.

Nikolaos Prasianakisمشاهده پروفایل

پژوهشگر

• Machine Learning
• Digital Twins
• Lattice Boltzmann Methods
• +۶ مورد دیگر

Dr. Nikolaos Prasianakis is a Researcher / Group Leader / Deputy Head of LES at the Paul Scherrer Institute (PSI) , Switzerland. His affiliations include the Center for Nuclear Engineering and Sciences and the Transport Mechanisms Group (TMG) within the Laboratory for Energy Systems (LES) . He specializes in modeling transport phenomena in porous media with applications in nuclear waste management and energy systems. His research interests focus on Machine Learning , Digital Twins , Lattice Boltzmann Methods , and Reactive Transport Phenomena . He combines experimental diagnostics (e.g., ultrasound measurements) with numerical simulations to study processes like mineral precipitation, catalytic microreactors, and multiphase flows in fuel cells. Key contributions include developing physics-enhanced machine learning frameworks for inverse modeling and accelerating reactive transport simulations. His work integrates 3D micro-tomography data from PSI's beamlines with multiscale modeling techniques. Dr. Prasianakis leads the Transport Mechanisms Group (TMG) , which combines state-of-the-art algorithms , experimental facilities, and theoretical models to tackle complex problems in energy and environmental systems. His research spans nuclear waste disposal , cement degradation , and hydrogen fuel cells .

Georg Kosakowskiمشاهده پروفایل

پژوهشگر

• Coupled physical and chemical processes in porous media
• Reactive transport modeling
• Long-term evolution of nuclear waste materials
• +۳ مورد دیگر

Georg Kosakowski is a Senior Scientist at the Paul Scherrer Institute (PSI), Switzerland, within the Nuclear Energy and Safety Research Division. His research focuses on coupled physical and chemical processes in heterogeneous porous media, particularly in the context of nuclear waste repositories. He holds a Dr. rer. nat. from the University of Bonn and a Habilitation from the University of Tübingen. His work emphasizes reactive transport modeling, long-term material evolution (e.g., cement, clays), and numerical risk assessment for nuclear waste storage. Research interests include the geochemical evolution of repository materials, gas production in waste repositories, and interface reactions between cement and bentonite. He has contributed to over 100 peer-reviewed publications, focusing on topics like coupled multi-phase flow, mineral precipitation/dissolution, and computational methods. His studies often involve collaboration with institutions like Nagra (Switzerland) and Hiroshima University (Japan). Publications highlight advancements in modeling tools (e.g., OpenGeoSys-Gem, FEniCS-Reaktoro), experimental validation of transport processes, and repository safety assessments. Teaching includes geostatistics at the University of Bern and specialized courses on thermodynamic modeling in Japan. Labs/Teams: He leads research within the Laboratory for Waste Management at PSI, contributing to Switzerland’s nuclear waste disposal program. His work supports the development of engineered barriers and long-term safety evaluations for geological repositories.

Athanasios Mokosمشاهده پروفایل

پژوهشگر

• Computational Physics
• Geochemistry
• Fluid Dynamics
• +۵ مورد دیگر

Dr. Athanasios Mokos is a researcher at the Paul Scherrer Institute (PSI) in Switzerland, specializing in computational physics and fluid dynamics. His work bridges nuclear engineering, geochemistry, and environmental engineering through advanced numerical simulations. Expertise in SPH (Smoothed Particle Hydrodynamics) Focus on reactive transport and multiphase flow Key applications in nuclear reactor safety and subsurface processes Research spans pore-scale modeling of cement-clay interactions, gas transport in geological media, and GPU-accelerated simulations for multiphysics problems. His publications emphasize machine learning integration, environmental remediation, and coastal/coastal structure hydrodynamics. Current trends in his work include Digital Twin frameworks for carbonate precipitation, CRUD analysis in nuclear fuel assemblies, and validation of surface wetting models via lattice Boltzmann methods. His position at PSI involves high-performance computing and multiphase flow simulations, with contributions to desalination membrane design and sediment grain dynamics.

Sergey Litvinovمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Biomedical Engineering
• Industrial Applications
• +۶ مورد دیگر

Sergey Litvinov is a Researcher at ETH Zürich, affiliated with the Department of Structural Mechanics and Monitoring within the College of Civil, Environmental and Geomatic Engineering. His work focuses on computational and statistical models for biomedical and industrial applications, leveraging tools like C++, PyTorch, and cloud computing. He contributes to hierarchical Bayesian analysis on big data and probabilistic programming, emphasizing data-driven methodologies. Current projects include the DCoMEX initiative (Data-Driven Computational Mechanics at Exascale), aiming to advance large-scale computational frameworks for structural mechanics and monitoring. His research interests span computational mechanics, fluid dynamics, and machine learning applications, with a strong emphasis on hybrid numerical methods and high-performance computing for multiphase systems. He has no listed scientific awards or advisees. His contributions are centered on software development (e.g., Aphros and Mirheo ) for multiphase flow simulations and novel optimization techniques for inverse problems, particularly in biomedical and engineering contexts. Recent articles highlight his work on discrete loss optimization, reinforcement learning for flow control, and data-driven methods for tumor growth modeling and drug delivery systems. He is part of interdisciplinary teams addressing challenges in microfluidics, turbulence modeling, and biomedical applications, with a focus on scalable solutions for complex systems. His projects often involve collaboration with industrial and academic partners on computational models for real-world applications.

• Data-Driven Computing
• Fracture Mechanics
• Multiscale Modeling
• +۴ مورد دیگر

Marine Casalis is a Researcher at the Department of Political Analysis at ETH Zurich, Switzerland. Their work focuses on interdisciplinary research at the intersection of computational mechanics, materials science, and biomedical engineering. Key research interests include data-driven computing, fracture mechanics, and multiscale modeling of materials. Casalis has presented extensively at international conferences, such as ECCOMAS-CMCS, STAMS, and IUTAM Symposia, highlighting contributions to topics like ductile fracture, hydrogen storage in nanoparticles, and optimal transport methods in mechanics. Their research bridges theoretical and applied perspectives, with a strong emphasis on predictive modeling and algorithm development. Recent work includes advancements in model-free data-driven approaches and their application to complex material systems. Research activities span computational mechanics, with a focus on understanding and simulating deformation, fracture, and microstructural evolution in metals and other materials. Notable contributions include studies on strain-gradient microplasticity, optimal scaling laws for fracture, and the mechanics of fused silica glass. Casalis has also explored biomedical applications such as oncotripsy and ultrasound neuromodulation, demonstrating a commitment to interdisciplinary innovation. Their work often integrates advanced numerical methods, such as meshfree approximations and atomistic simulations, to address challenges in energy and materials science. Publications and presentations reflect a sustained engagement with cutting-edge topics in mechanics and materials science, including collaborations with institutions like Oxford University, Politecnico di Milano, and the Technical University of Munich. While no specific awards are mentioned, their extensive conference participation underscores a dynamic research profile. Advising and grant details are not provided in the available text, but their academic contributions are evident through their active role in international academic networks and computational initiatives.

• Renewable Energies
• Bioenergy
• Solar Energy
• +۳ مورد دیگر

Thomas Nussbaumer is a Professor of Renewable Energies at the Lucerne School of Engineering and Architecture (HSLU), leading the Bioenergy Research Group. He holds a Dipl. Masch.-Ing. and Dr. sc. tech. from ETH Zurich, specializing in process engineering and pollutant reduction. His research focuses on biomass combustion, emission control technologies, and renewable energy systems. He has been honored with the 1997 M.U.T. Umweltpreis for environmental innovation. Education: 1984: Dipl. Masch.-Ing. ETH Zurich in Process Engineering 1989: Dr. sc. tech. ETH Zurich (dissertation on pollutant formation) Research emphasizes thermal energy systems, bioenergy applications, and sustainable combustion processes. Key projects include fossil-free building heating systems, biomass co-combustion, and particle toxicity analysis. He leads the Holzenergie-Symposium and represents Switzerland in IEA Bioenergy Task 32. Grants/Advising: Jury President for HSLU Sustainability Prize Leads SCCER Biosweet (Swiss Competence Center for Energy Research) Labs/Teams: Head of Thermal Energy Systems and Process Engineering research group at IME, collaborating on projects like granulate fertilizer production and energy-efficient dishwashers.

• Geothermal Energy
• Porous Media
• Fluid Dynamics
• +۵ مورد دیگر

Dr. Xiang-Zhao Kong is a Lecturer at the Institute of Geophysics, ETH Zurich, within the Department of Earth and Planetary Sciences (D-EAPS). He holds a PhD in Environmental Engineering from ETH Zurich (2010), where he was awarded the ETH Medal for his dissertation. His career includes postdoctoral research at the University of Minnesota and a Research Fellowship at the University of Queensland before returning to ETH Zurich in 2015. His research focuses on geothermal energy, flow and transport processes in porous media, reactive transport modeling, and subsurface engineering. Key areas include fractured formations, geothermal reservoir optimization, and CO₂ sequestration. He employs advanced computational methods like lattice-Boltzmann solvers and machine learning for subsurface flow modeling and reservoir characterization. Dr. Kong’s work bridges experimental and theoretical approaches, with notable contributions to mineral precipitation dynamics, fluid-rock interactions, and phase transition fracturing. His publications span geothermal systems, carbon capture, and subsurface energy storage. Recent efforts emphasize de-risking CO₂-Plume Geothermal (CPG) technologies and advancing fracture modeling via neural networks. Awards: ETH Medal for PhD Dissertation (2011) Teaching: Leads the 'Groundwater' course (Autumn Semester 2025).

Mahmoud Hefnyمشاهده پروفایل

مدرس

• Geophysics
• Environmental Engineering
• Fluid Dynamics
• +۴ مورد دیگر

Dr. Mahmoud Hefny is a Lecturer at the Department of Earth and Planetary Sciences (D-EAPS) at ETH Zurich. He is affiliated with the Geothermal Energy & Geofluids (GEG) group and the Institute of Geophysics. His research focuses on interdisciplinary geology and geophysics, particularly fluid flow modeling in porous media across scales, CO2 storage, and geothermal energy systems. He holds a Ph.D. from ETH Zurich (2020) and has professional experience including roles as an IT Assistant at ETH and a Teaching Assistant at South Valley University, Egypt. Education: Ph.D. in Rock Physics, ETH Zurich (2015–2020) M.Sc. in Geological Sciences, South Valley University (2009–2013) B.Sc. in Geological Sciences, South Valley University (2004–2008) Research Interests: Fluid flow modeling in reservoir rocks, geothermal energy, CO2 sequestration, rock mechanics, and multi-scale computational modeling. He uses advanced imaging techniques like synchrotron X-ray tomography and neutron imaging for pore-scale analysis. Key Projects: NubiaStore Project (2018–present): Investigates CO2 storage in Nubian Sandstone. Development of predictive models for geothermal systems and CO2-enabled Enhanced Oil Recovery. Labs: Conducts experiments at the ETH Rock Physics and Mechanics (RPM) laboratory, focusing on high-pressure geo-mechanical behavior under crustal conditions.

• Fluid Mechanics
• Microfluidics
• Inkjet Technology
• +۴ مورد دیگر

Balestra Gioele is a Full Professor at the Fribourg School of Engineering and Architecture (HES-SO) and Co-Head of the iPrint Institute. His primary affiliations include the BSc HES-SO in Mechanical Engineering, where he teaches CFD simulation and Fluid Mechanics. He leads the ComplexFluidPrint project (since 2019), developing advanced inkjet technologies for complex fluids. His research focuses on fluid mechanics, microfluidics, and rheology, with recent projects addressing micro-manipulation via liquid plugs and composite materials for IoT applications. Research interests include thin film instabilities, droplet dynamics, and industrial applications of inkjet technology. Notable projects include the experimental validation of liquid plug-based micro-manipulation (2020-2022), funded by HEIA-FR, and a collaborative effort on multifunctional composite materials with COMATEC (2019-2021), yielding 250'000 CHF in funding. His work bridges theoretical models, numerical simulations, and experimental validation. Publications span topics like machine learning for inkjet behavior prediction (2023), karst drapery morphogenesis (2021), and instability mechanisms in curved substrates (2018-2020). Current research emphasizes inertial microfluidics, airflow visualization for inkjet systems, and advanced nozzle plate manufacturing (2024). Grants: HES-SO, HEIA-FR, COMATEC Team Collaborations: Over 20 researchers across projects, including Domae Yoshinori, Maturo Jonas, and Gallaire François Labs/Teams: iPrint Institute, ComplexFluidPrint team