Esther Rodrigo Bonet

Esther Rodrigo Bonet is a postdoctoral researcher at the Vrije Universiteit Brussel, affiliated with the Department of Electronics and Informatics in the College of Engineering. Her work focuses on air pollution modeling, sensor networks, and explainable AI, combining deep learning with physics-guided frameworks to analyze environmental data.

Research Interests: Esther specializes in air quality monitoring, leveraging graph neural networks and variational autoencoders to model spatiotemporal pollution patterns. Her research integrates explainable AI principles to enhance transparency in environmental inference systems, particularly for low-cost sensor networks and urban exposure assessments.

Scientific Awards:

• Best Student Paper Award (2024)
• FWO PhD Strategic Basic Research Fellowship (Nov 2020)

Research Output Trends: Over the past five years, her work has emphasized AI-driven environmental monitoring, with a focus on graph-based deep learning architectures. Key applications include urban air quality mapping, electromagnetic field exposure analysis, and collaborative filtering systems adapted for environmental data.

Collaborations: She collaborates extensively with Professor Nikolaos Deligiannis and multidisciplinary teams across Belgium, contributing to projects like Explainable Physics-guided Deep Learning for Air Pollution Inference and the development of frameworks for IoT cities.