Nikita Razguliaev

About

Nikita's primary research interest centers on the quality of urban stormwater runoff. His work predominantly focuses on the application of water quality sensors and the analysis of continuous, high-resolution temporal data sets. Recently, he has been particularly interested in validating and correcting large sensor-acquired datasets using current best practices and exploring the potential of data-driven, machine learning approaches. Currently, he is investigating data-driven models for imputing missing data in the context of runoff quality.

Nikita holds a dual master's degree in Energy Technology Engineering from Russia and Finland, with specialization in water treatment technologies for thermal and nuclear power plants.

Research projects

• DRIZZLE External link.
• Stormwater&Sewers External link.