Research themes
Four directions where students build simulations, analyze data, and connect computational models with experimental practice at CAMPUS.
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01
Wave Propagation in Inhomogeneous Media and Radar Systems
Research focuses on the numerical modeling of electromagnetic wave propagation through complex, inhomogeneous media, such as turbulent atmospheres, layered structures, and dissipative materials. Students work remotely to develop simulation algorithms for electromagnetic diffraction and scattering, as well as calculating Radar Cross Sections (RCS) for complex target geometries. Daily activities center on signal processing and code development for modern remote sensing applications, while CAMPUS visits are dedicated to calibrating computational models using the university’s RF and microwave experimental equipment.
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02
Photonics and Quantum Optics
Projects focus on the computational modeling of light propagation in microstructured media using the Finite-Difference Time-Domain (FDTD) method. Daily activities consist of writing simulation algorithms, optimizing photonic crystal structures, and analyzing waveguides from home. Physical sessions at CAMPUS are used to validate these models on optical test benches and conduct measurements on physical components.
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03
Nonlinear Dynamics and Complex Systems
As a fully computational topic, the entire research workflow is carried out remotely by developing custom algorithms, running Monte Carlo simulations, and modeling deterministic chaos in coupled systems. Students analyze phase transitions and stochastic phenomena using their personal workstations or university servers, while CAMPUS visits are reserved for progress presentations, direct mentoring, and paper writing.
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04
Computational Astrophysics and Gravity
This domain relies on complex numerical simulations performed from home using programming environments such as Python, C++, or Julia. Students develop ray-tracing algorithms in curved spacetime to study gravitational lensing near Schwarzschild and Kerr metrics. On-site presence at the university is utilized to leverage CAMPUS high-performance computing capabilities and conduct data analysis sessions with center researchers.