Curriculum Vitae

sayfullo.saidov [at] princeton.edu · LinkedIn · Princeton, NJ

Education

B.S.E. Civil and Environmental Engineering Princeton, NJ · Expected May 2028

Princeton University — Office of Sustainability Princeton, NJ · Sep 2024 – Present

Develop EPA SWMM models of campus drainage networks to simulate runoff routing and stormwater system performance during intense rainfall events.
Deployed hydrologic monitoring systems across 10 stormwater BMPs, including water-level loggers and V-notch weirs, to quantify runoff attenuation, infiltration, and water-quality response.
Developed a Python-based rainfall-runoff model for the Bedford Field Hockey Facility using the Green-Ampt infiltration method to investigate runoff generation under simulated extreme rainfall events.

Technical University of Munich Freising, Germany · Jul 2026 – Aug 2026

Investigated agricultural systems as decentralized infrastructure for disaster resilience, comparing German and Japanese approaches to flood risk management and emergency response.
Conducted GIS-based flood risk analysis in Mabi District, Japan, overlaying flood inundation, farmland, and infrastructure datasets to assess infrastructure exposure and identify agricultural areas that could support emergency response during flood events.
Applied Google Earth Engine, HEC-HMS, and HEC-RAS to analyze watersheds, simulate rainfall-runoff processes, and assess flood inundation in Bavarian basins, including the Altmühl River.

Kyoto University — Disaster Prevention Research Institute Kyoto, Japan · May 2026 – Jun 2026

Developed a Random Forest flood susceptibility model for Tashkent, Uzbekistan using topographic, rainfall, historical flood reports, and land-use predictors in Google Earth Engine and Python, producing spatial flood-risk classification maps.
Built a Google Earth Engine pipeline using Landsat imagery and NDWI classification to quantify 1985–2024 surface-water dynamics of the Aral Sea through seasonal compositing and time-series analysis.
Conducted watershed and river-network analysis across the Chirchiq, Raritan, and Kiso basins using QGIS, focusing on morphometric indicators relevant to runoff generation and basin response.

Max Planck Institute for Dynamics and Self-Organization Göttingen, Germany · May 2025 – Jul 2025

Developed a Lagrangian Particle Tracking (LPT) system for field experiments investigating turbulent atmospheric wake flows behind wind turbines.
Deployed and monitored instrumented balloon tracers to measure velocity fluctuations and turbulent transport in the atmospheric boundary layer.
Processed atmospheric flow trajectory data to characterize turbulent transport and environmental fluid dynamics in high-Reynolds-number flows.

Modeling & Analysis EPA SWMM · HEC-RAS · HEC-HMS · Hydrologic analysis · Statistical analysis · Machine learning

Geospatial & Programming Python (NumPy, pandas, matplotlib, scikit-learn, PyTorch) · Google Earth Engine · QGIS · AutoCAD · Git

Field Methods Water-level monitoring · Flow measurement · V-notch weirs · Environmental sensing · Data logger programming

Languages Uzbek, Tajik (native) · Japanese, English (fluent) · Russian (advanced) · German (basic)