Eva Gmelich Meijling

Information

Bio

I am Eva Gmelich Meijling, specializing in Artificial Intelligence with an academic background in Physics and Astronomy. I completed my Bachelor’s degree at Amsterdam University College, followed by a Master’s degree in Artificial Intelligence from the University of Amsterdam. My professional experience includes working at Accenture’s Data & AI team on environmental semantic segmentation and conducting research at ESA’s Φ-lab at ESRIN, focusing on geospatial foundation models and enhanced detection methods for small vessels using SAR satellite data.

Current Role

At ESA’s Φ-lab, my research involved evaluating multimodal geospatial foundation models for various Earth observation applications, particularly flood detection and vessel detection with Sentinel-1 SAR imagery. Additionally, I worked on improving small vessel detection performance by reformulating loss functions and exploring regression-based approaches instead of traditional binary detection methods. This work emphasized leveraging advanced AI methodologies to support sustainable innovation in Earth observation.

Areas of Expertise

My expertise spans Machine Learning, Deep Learning, Computer Vision, and Remote Sensing, which I leverage to build robust and impactful AI-driven solutions. This aligns with ESA Φ-lab’s mission of using AI to enhance interpretation and understanding of satellite imagery, while also driving disruptive innovation that accelerates the advancement of Earth observation technologies.

Vision for the Future

My vision is to continue contributing to AI-driven innovations that effectively address environmental challenges and support reliable, sustainable space mission operations. I am passionate about developing practical, trustworthy AI solutions that positively impact both Earth observation and space exploration.