Mateusz BOGDAN
My personal site, with a short presentation of who I am, my academic and professional activities and research interests !
| Home |
|---|
| Research |
| Publications |
| Teachings |
| Datavisualisation |
| Code |
| Miscellanous |
Research Interests
This page provides a short brief on my most active and current research topics, carried out in different contexts: sometimes for engineering purposes through in-house projects, often with internships from various French engineering schools (full list here), and occasionally for academic purposes through external collaborations.
Urban scale climatic studies
I focus on modeling the interactions between built environments and climate at the city scale. This includes CFD/BES couplings, UHI modeling, and urban geometry analysis.
Urban CFD
- CFD / BES Couplings
- Pressure coefficients estimation on building envelopes, Cp,
- Natural ventilation assesments,
- Weak coupling between surface temperatures (from outdoor EnergyPlus simulations) and CFD results for every wind directions.
Urban scale UHI modelling
- Urban Geometries
- Extractions,
- Pre-processing,
- Model built-ups.
Radiative View Factors
- Exact calculations of urban view factors,
- Integration to comfort studies (EnergyPlus + inhouse AREP’s codes).
- Maintaining the
pyViewFactorpython library
Air Quality in underground train stations
My work combines data analysis, physics-based modeling, experimentation, and simulation to improve air quality in confined railway environments.
Data analysis
- Numerical methods for long term time-series analysis
Ph.D. co-supervision: Evaluation and Optimization of Air Quality in Underground Railway Enclosures: Analysis of Particle Concentrations and Filtration System Efficiency Valisoa Rakotonirinjanahary (CIFRE–SNCF, Université de Lille, supervised by Benjamin Hanoune).
Equational modeling of air quality
- Physics-based modeling of PM concentration dynamics using differential equations
Experimentations to lower PM levels in active trains station
- Designing instrumentation and experimentation protocols
- Follow-up and analysis of experimental data
AI-based forecasting
- Time series forecasting of PM concentrations with neural networks
CFD simulations
- Forced ventilation studies
- Train-induced “piston effect” modeling
- Pollutant dispersion dynamics
Datavisualisation and post-processing
A key part of research is being able to communicate results clearly. Effective visualization often conveys insights more powerfully than words.
I work extensively with Paraview and Pyvista for simulation results, but also with some more “classical” Python libraries (Matplotlib / Seaborn / Plotly) for data analysis.
- 2D / 3D renderings,
- Statistical information displays and summaries,
- …
Web developments
I also contribute to bridging research and practice through web applications and digital tools.
- Development and maintenance of my team’s blog L’Hypercube, covering both front-end and back-end (Hugo, deployed on a cloud Ubuntu VM).
- Development of several dashboards with Dash, mainly internal to AREP, with some made publicly available on our website, often using SNCF open data:
