Technology Lead, AI

Dr. Elena Ranguelova


Elena received a PhD degree in Computer Science from Trinity College, Dublin, Ireland in 2003 on the topic of 3D texture analysis and modelling with application to MRI brain images.

Since then, she worked on variety of interdisciplinary projects and application areas. At the Centrum Wiskunde en Informatica (CWI), Amsterdam, Elena worked on European and NWO projects for photo-identification of cetaceans. Her paper on saliency detection for photo-identification was awarded best paper at GVIP in 2005.

In 2007, Elena worked at the Dutch Center for Applied Research, TNO, on object recognition tools for assisting the police investigators in their work. Between 2008 and 2012, she was part of the R&D team of Prime Vision, B.V., Delft, developing OCR and indicia recognition software for the postal industry. In 2012, Elena also worked at CWI on a project for automatic monitoring via camera and other sensor networks assessing the risk of forest fires in cultural heritage regions of Southern Europe.

Elena joined the Netherlands eScience Center as an eScience Engineer in 2013 to work on medical imaging and other multidisciplinary projects. Between 2014 and 2019, she was an eScience Coordinator and line-manager of several engineers, coordinating many eScience collaborative projects primarily in the climate, biomedical imaging and ecological domains.

Since the spring of 2019 she’s held the role of Technology Lead AI. Elena is currently leading an eScience Center-SURF Alliance project on eXplainable AI; DIANNA: Deep Insight and Neural Network Analysis.

Key skills

  • Explainable AI
  • AI
  • Image processing
  • Scientific programming