A5016143788- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Distributed and Parallel Computing Systems
- Astrophysics and Cosmic Phenomena
- Parallel Computing and Optimization Techniques
- Atomic and Subatomic Physics Research
- Scientific Computing and Data Management
- Noncommutative and Quantum Gravity Theories
- Nuclear Physics and Applications
- Advanced Data Storage Technologies
- Black Holes and Theoretical Physics
- Fluid Dynamics and Turbulent Flows
- Cloud Computing and Resource Management
- Nuclear reactor physics and engineering
- Optical properties and cooling technologies in crystalline materials
- Peer-to-Peer Network Technologies
- Laser-Plasma Interactions and Diagnostics
- Quantum Mechanics and Applications
- Particle Accelerators and Free-Electron Lasers
Karlsruhe Institute of Technology
2023-2025
A. Alikhanyan National Laboratory
2024
Institute of High Energy Physics
2023-2024
University of Antwerp
2024
Scientific collaborations require a strong computing infrastructure to successfully process and analyze data. While large-scale have access resources such as Analysis Facilities, small-scale often lack the establish maintain an instead operate with fragmented analysis environments, resulting in inefficiencies, hindering reproducibility thus creating additional challenges for collaboration that are not related experiment itself. We present scalable, lightweight maintainable Facility developed...
Predicting the performance of various infrastructure design options in complex federated infrastructures with computing sites distributed over a wide area network that support plethora users and workflows, such as Worldwide LHC Computing Grid (WLCG), is not trivial. Due to complexity size these infrastructures, it feasible deploy experimental test-beds at large scales merely for purpose comparing evaluating alternate designs. An alternative study behaviours systems using simulation. This...
Predicting the performance of various infrastructure design options in complex federated infrastructures with computing sites distributed over a wide area network that support plethora users and workflows, such as Worldwide LHC Computing Grid (WLCG), is not trivial. Due to complexity size these infrastructures, it feasible deploy experimental test-beds at large scales merely for purpose comparing evaluating alternate designs. An alternative study behaviours systems using simulation. This...