جست‌وجوی استاد و پژوهشگر

Edward Baxter Linscottمشاهده پروفایل

پژوهشگر ارشد

• Materials Science
• Computational Science
• Theoretical Physics
• +۳ مورد دیگر

Dr. Edward Baxter Linscott is a Research Fellow at the Paul Scherrer Institute (PSI) in Switzerland, actively contributing to the PSI Center for Scientific Computing, Theory and Data and the Laboratory for Materials Simulations. His work bridges advanced computational methodologies with fundamental materials research. His core research domains include: Materials Science (primary focus) Computational Science Theoretical Physics Data Science Condensed Matter Physics Scientific Computing Dr. Linscott specializes in high-performance computational simulations of materials at atomic and electronic scales, developing theoretical models to solve complex problems in quantum mechanics and materials engineering. His research directly supports PSI's mission in sustainable energy and advanced materials development. Based at Forschungsstrasse 111, 5232 Villigen PSI, Switzerland, he maintains direct research collaboration channels through edward.linscott@psi.ch and +41 56 310 33 93.

Flaviano José Marchiori Dos Santosمشاهده پروفایل

پژوهشگر

• Materials Science
• Computational Science
• Theoretical Physics
• +۳ مورد دیگر

Dr. Flaviano José Marchiori Dos Santos is a Researcher at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Center for Scientific Computing within the Laboratory for Materials Simulations. His work focuses on advanced computational methodologies and theoretical frameworks for materials research. He holds a postdoctoral position and contributes to PSI's interdisciplinary initiatives at the intersection of scientific computing and materials science. Research interests include developing simulation techniques for novel materials, leveraging high-performance computing and data-driven approaches. His expertise spans computational modeling, theoretical physics, and applied data analysis in materials systems. Current projects likely involve advancing predictive models for material behavior under varying conditions. Laboratory affiliations include the PSI Center for Scientific Computing’s Laboratory for Materials Simulations, where he collaborates on cutting-edge computational infrastructure and theoretical studies. No specific grants, awards, or advising roles are explicitly mentioned in the provided text.

Tomasz Kacprzakمشاهده پروفایل

پژوهشگر

• Scientific Computing
• Theoretical Physics
• Data Science
• +۳ مورد دیگر

Tomasz Kacprzak is a Researcher at the Paul Scherrer Institute (PSI), affiliated with the PSI Center for Scientific Computing and the Laboratory for Simulation and Modeling. His work focuses on computational methods, theoretical physics, and data-driven research. Contact: tomasz.kacprzak@psi.ch. Research interests include advancing simulation techniques, high-performance computing, and interdisciplinary applications of computational science. No specific articles or awards are listed in the provided text. He is part of the Laboratory for Simulation and Modeling, contributing to PSI's research initiatives in scientific computing and data analysis.

Jan S Hesthavenمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Discontinuous Galerkin Methods
• +۷ مورد دیگر

Jan S Hesthaven is a Professor of Mathematics and Dean of the School of Basic Sciences at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He holds adjunct professorships at Brown University and the Technical University of Denmark. His research focuses on computational methods for partial differential equations, model order reduction, and high-order numerical methods like discontinuous Galerkin schemes. He leads the Chair of Computational Mathematics and Simulation Science (MCSS) and founded SCITAS, EPFL's Scientific IT and Application Support unit. Education: M.Sc. (1991) and Ph.D. (1995) in Numerical Analysis from Technical University of Denmark, with postdoctoral training at Brown University and NASA Langley. He earned a Dr.Techn. (2009) for contributions to nodal discontinuous Galerkin methods. Research interests include computational fluid dynamics, seismic monitoring of porous media, and machine learning integration with PDE solvers. Notable contributions include physics-informed neural networks, reduced basis methods for acoustics, and surrogate models for gravitational waves. He has received prestigious awards like the SIAM Fellowship (2014) and the Philip J. Bray Teaching Award (2004). Leadership roles: Dean of SB (2017–present), Director of CCV at Brown (2006–2013), and Deputy Director of ICERM (2010–2013). His work bridges fundamental mathematics with applications in engineering, physics, and environmental science. Grants and collaborations include NSF funding for model reduction and NASA partnerships. He supervises interdisciplinary projects on seismic data analysis and acoustic simulations. SCITAS, under his leadership, provides high-performance computing support across EPFL.

• High-Performance Computing
• Performance Modeling
• Parallel Computing
• +۳ مورد دیگر

Alexandru Calotoiu is a Researcher in the Department of Computer Science at ETH Zürich, affiliated with the Professorship for Scalable Parallel Computing. His work focuses on performance modeling, high-performance computing (HPC), serverless systems, and cloud computing. He leads research in empirical performance modeling for complex applications, optimization of parallel algorithms, and scalable cloud architectures. Key research areas include noise-resilient performance models, serverless computing frameworks, and compositional parallel programming. He has contributed to benchmarking tools like SeBS and developed techniques for loop scheduling, static analysis, and resource disaggregation in HPC environments. His publications from 2023–2025 emphasize serverless systems (e.g., FaaSKeeper, Cppless), performance embeddings for optimization, and specialized supercomputing for climate science. These studies address scalability, reproducibility, and cross-platform performance portability in data-centric workloads. No scientific awards are explicitly listed, but his work has been presented at leading conferences such as ISCA and IEEE/ACM events. He collaborates on projects like rFaaS (RDMA-enabled serverless platforms) and Process-as-a-Service frameworks. His research bridges theoretical models with practical implementations in distributed systems and cloud infrastructure.

• Computational Physics
• Scientific Computing
• High-Performance Computing
• +۲ مورد دیگر

Dr. Christian Dominik Herzog is a Lecturer at the Department of Physics at ETH Zürich. He is affiliated with the IT Services Gruppe (ISG) D-PHYS and located at Auguste-Piccard-Hof 1, 8093 Zürich, Switzerland. His contact information includes phone numbers +41 44 633 39 50 and +41 44 633 26 68. He teaches Basics of Computing Environments for Scientists in the Autumn Semester 2025. Additional affiliations include TU Dresden's Faculty of Computer Science and the International Center for Computational Logic (ICCL), though specific roles there are not detailed in the text. His research interests are inferred from his academic context to include computational physics, scientific computing methodologies, and educational technologies for science. No explicit awards or grants are listed, but his course offerings suggest expertise in computational tools for scientific research.

Zewu Yanمشاهده پروفایل

استاد

• Condensed Matter Physics
• Crystal Growth Techniques
• Scintillator Materials
• +۷ مورد دیگر

Dr. Zewu Yan is a Professor affiliated with the Solid State Physics Laboratory at ETH Zürich. His current role involves advancing crystal growth techniques for correlated-electron materials used in neutron scattering experiments. He has held significant research roles including Project Scientist/Engineer at Lawrence Berkeley National Laboratory and Research Scientist at the Research Institute of Synthetic Crystals (Beijing, China). His work spans defense-related crystal growth, quantum materials, and scintillator development across multiple institutions. Education: He earned a PhD in Science from the University of Western Australia (2007), a Master of Engineering in Materials Engineering from Wuhan University of Technology (2002), and a Bachelor of Science in Materials Physics from the University of Science and Technology Beijing (1989). He completed specialized training in microscopy techniques and laboratory safety at UWA. Research Interests: Yan specializes in crystal growth methodologies (Czochralski, Bridgman, floating zone), neutron scattering studies, ferroelectric domain walls, and scintillator material synthesis. His work emphasizes high-quality single-crystal production for applications in quantum materials, detector systems, and multi-spectral guidance technologies. He has pioneered defect-detection systems using Rayleigh scattering and automated mapping. Major Projects: He contributed to DOE-funded Quantum Materials research, DHS/DNDO's high-throughput scintillator discovery, and detector materials projects under DOE/NNSA. His collaborations include UC Berkeley, NTNU, and JCAP, focusing on materials like ErMnO₃, BiVO₄, and Ba-based halides. Scientific Achievements: Yan holds 4 patents and has been honored with multiple awards from his undergraduate years at BUST. His research has led to breakthroughs in crystal growth reliability, domain wall conductivity, and scintillator performance optimization.

Andreas Vitalisمشاهده پروفایل

پژوهشگر

• Molecular Biophysics
• Protein Aggregation
• Molecular Simulations
• +۴ مورد دیگر

Andreas Vitalis is a Senior Scientist in the Department of Biochemistry at the University of Zurich, where he leads the development of molecular simulation software (CAMPARI) and research platforms. He holds a Ph.D. in Molecular Biophysics from Washington University (St. Louis) and conducted postdoctoral research at UC San Diego and Zurich. His expertise spans protein aggregation mechanisms, computational biophysics, and high-performance computing. Education: Ph.D. in Molecular Biophysics, Washington University in St. Louis (2003-2009) Research Scholar, University of California San Diego (2001-2002) Diploma in Biochemistry, Ruhr-Universität Bochum (1998-2001) Research Interests: Protein aggregation (Alzheimer's, Huntington's diseases) Molecular simulation methods (enhanced sampling, FAIR data) Drug discovery platforms and computational tools Neuroscience applications of biophysical modeling His work bridges computational methods with experimental biology, emphasizing scalable solutions for complex systems. Key contributions include CAMPARI software and FAIR-compliant data management frameworks.

Matija Piškorecمشاهده پروفایل

پژوهشگر

• Machine Learning
• Complex Systems
• Statistical Inference
• +۵ مورد دیگر

Matija Piškorec is a Senior Research Associate at the Faculty of Informatics, University of Zurich. His research spans machine learning, complex systems, and blockchain technologies, with a focus on statistical inference of social influence and network analysis. Primary Affiliation: Faculty of Informatics, University of Zurich Research Interests Machine learning and complex systems Statistical inference of influence in online social networks Blockchain technologies and distributed ledger systems Information visualization and interactive web applications in computational biology Publications His recent work explores blockchain networks like Polkadot and Ethereum, analyzing their structure and consensus mechanisms. Earlier research focuses on social network influence, financial data cohesiveness, and computational biology tools. Awards No scientific awards or honors were explicitly mentioned in the text. Additional Contributions Developed web-based visualization tools (e.g., MultiNets) and applied machine learning to diverse domains, including microbiology and finance.

Taehoon Kimمشاهده پروفایل

پژوهشگر

• Blockchain Technology
• Ethereum Virtual Machine (EVM)
• Smart Contracts
• +۶ مورد دیگر

Dr. Taehoon Kim is a Senior Research Associate at the Blockchain Centre at the University of Zurich, specializing in computational science, blockchain technology, and network analysis. His work bridges theoretical research with practical applications in complex systems. Education: PhD in Biosystems Science and Engineering His research focuses on blockchain dynamics, particularly EVM chains and smart contract development using Solidity. He also explores graph representation learning, network science, and high-performance computing solutions for data-intensive projects at the university's Blockchain and Distributed Ledger Technologies (BDLT) lab. Currently, no scientific awards or publications are listed in the provided text. Taehoon contributes to data observatory initiatives and integrates cloud technologies into his computational frameworks.

• Quantum Computing
• Machine Learning
• Condensed Matter Physics
• +۳ مورد دیگر

Prof. Giuseppe Carleo is a Professor specializing in quantum computing and machine learning for quantum many-body systems, renowned for developing the NetKet open-source software library. His research bridges theoretical physics and artificial intelligence to solve complex quantum problems. His primary research interests include: Variational quantum algorithms and neural quantum states Simulation of quantum dynamics and non-equilibrium phenomena Hamiltonian reconstruction and learning Open-source tool development for quantum simulation Recent publications (2022-2025) demonstrate leadership in applying machine learning to quantum systems, with breakthroughs in Bose gas dynamics, noise resilience in quantum state propagation, and scalable software frameworks. The NetKet project has become a cornerstone for researchers globally, enabling neural-network-based quantum simulations. While specific mentorship details are unreported, his collaborative publications indicate active supervision of computational physics projects. His work drives innovation in quantum computing infrastructure, with implications for quantum hardware development and algorithm design.

• Quantum Optics
• Many-Body Physics
• Computational Physics
• +۲ مورد دیگر

Prof. Tobias Donner is a faculty member at ETH Zurich, affiliated with the Quantum Optics research group. His work centers on theoretical and computational approaches to quantum many-body systems, with a focus on quantum simulations, cavity quantum electrodynamics, and GPU-accelerated computational methods. Research Interests: His expertise spans quantum optics, many-body physics, and computational physics. Key areas include: Quantum simulations of Bose-Einstein condensates Cavity QED phenomena GPU-based solvers for quantum equations Floquet engineering in polaritonic systems High-performance computing for quantum problems Publication Trends: Recent articles (2022–2024) emphasize computational tool development for quantum many-body systems, including GPU-accelerated solvers (e.g., TorchGPE) and theoretical studies of multimode-polariton dynamics using Floquet methods. Dominant themes include quantum simulations, open-source software, and light-matter interactions. Affiliation Context: He contributes to the Quantum Optics group at ETH Zurich, which explores quantum many-body phenomena, quantum simulations, and photonic systems.

Fabio Marcinnoمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Computational Mathematics
• Scientific Computing
• +۳ مورد دیگر

Fabio Marcinno is a Researcher affiliated with the School of Basic Sciences at École polytechnique fédérale de Lausanne (EPFL), specializing in the Department of Mathematics. He is associated with the Chair of Numerical Modelling and Simulation (MNS) and the Doctoral Program in Mathematics (EDMA). His contact details include the email fabio.marcinno@epfl.ch and office address at MA C2 557, Bâtiment MA, Station 8, Lausanne, Switzerland. Institution: EPFL School: School of Basic Sciences Department: Mathematics Chair: Numerical Modelling and Simulation (MNS) His research focuses on numerical methods and computational techniques within mathematical sciences, aligning with the objectives of the Chair of Numerical Modelling and Simulation. More information about his research group can be found at the MNS website .

• Numerical Algorithms
• High-Performance Computing
• Computational Mathematics
• +۲ مورد دیگر

Peter Oehme serves as a Researcher and Doctoral Assistant at the Numerical Algorithms and High-Performance Computing Chair (ANCHP) within the Department of Mathematics, School of Basic Sciences at École Polytechnique Fédérale de Lausanne (EPFL). Concurrently, he is a doctoral candidate in the Doctoral Program in Mathematics (EDMA) and acts as Webmaster for the SIAM Student Chapter, managing its digital presence. His research centers on Numerical Algorithms and High-Performance Computing , with specialization in computational mathematics and parallel algorithm design. These fields focus on developing efficient computational methods for solving complex mathematical problems using advanced parallel architectures, contributing to scientific computing across engineering and physical sciences. As a core member of the ANCHP research group, Peter advances numerical simulation techniques while actively supporting academic community engagement through SIAM. Contact details: peter.oehme@epfl.ch .

• Numerical Algorithms
• High-Performance Computing
• Computational Mathematics
• +۳ مورد دیگر

Nian Shao is a Researcher at the Department of Mathematics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Numerical Algorithms and High-Performance Computing group under the CADMOS Chair. His work focuses on computational methods and advanced numerical algorithms. Email: nian.shao@epfl.ch Research interests include Numerical Algorithms , High-Performance Computing , Computational Mathematics , Applied Mathematics , Scientific Computing , and Computer Science . Office: MA B2 454 (Bâtiment MA), Station 8, Lausanne.