Monika Gierszewska serves as an Assistant Lecturer at Gdańsk University of Technology, specializing in advanced remote sensing applications for environmental monitoring. Her research bridges physics-based modeling with machine learning approaches to solve critical challenges in flood detection and wetland classification using Synthetic Aperture Radar (SAR) technology. Her research portfolio demonstrates deep expertise in several interconnected domains: Physics-guided neural networks for environmental monitoring SAR imagery processing and analysis techniques Polarimetric decomposition methods for wetland classification Integration of satellite observations with ground-based measurements Flood mapping in vegetated environments Speckle filtering optimization for improved classification accuracy Dr. Gierszewska's publication timeline reveals an evolving research trajectory from fundamental SAR processing techniques toward more sophisticated AI-integrated environmental monitoring systems. Her most recent 2025 work advances physics-guided neural networks that combine satellite imagery with river gauge data, building upon her 2022 research on polarimetric decomposition parameters and her 2021 study of flood classification in natural wetlands during early spring conditions. This progression reflects broader trends in remote sensing toward hybrid approaches that maintain physical consistency while leveraging machine learning capabilities. Her scholarly contributions have been published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, indicating recognition within the international remote sensing community. As an Assistant Lecturer, she contributes to academic instruction while maintaining an active research program focused on practical applications for environmental protection and flood management systems.
