Green power-efficient photon transport in turbid media aided by Physics-Informed Neural Networks
- 0.5 ECTS credits
- Academic year 2025-2026
- DP00BE36-3001
Education information
Implementation date
26.05.2026 - 28.05.2026
Enrollment period
-
Education type
Field-specific studies
Alternativity of education
Optional
Location
Enrollment and further information
Education description
The course offers an intensive, hands-on journey from the fundamentals of light transport in turbid, tissue-like media to state-of-the-art Monte Carlo (MC) simulation techniques that power today’s Biomedical Optics. You’ll build a clear, practical understanding of why MC has become the field’s “gold standard,” how it evolved, and how it delivers highly accurate solutions to the Radiative Transfer Equation, including polarized formulations, while keeping an eye on the wave-related phenomena that matter in real optical systems.
The course focuses on modern, open-source, power-efficient MC implementations and shows how to translate theory into working tools. Through guided, interactive coding exercises, you’ll learn to set up, run, and interpret simulations across impactful applications: dose calculation for photodynamic therapy, modeling human skin reflectance spectra, and advanced studies of light’s spin and orbital angular momentum transfer in scattering (turbid) media. By the end, you’ll be equipped to confidently adapt MC photon-transport methods to your own research and real-world biomedical optics problems.