Sveta Zinger is a Full Professor in context-informed dynamic image analysis for clinical decision support. Her areas of expertise include medical image and video analysis for diagnosis and prognosis. This comprises temporal data analysis, machine learning, context analysis of patient data. Multi-modal data processing and exploration of novel sensing technologies play an important role in this research. Prof. Zinger is actively involved in a number of national and international research projects, collaborating with industrial and clinical partners in these domains.

Svitlana (Sveta ) Zinger received her MSc in computer science in 2000 from the Radiophysics faculty of the Dnepropetrovsk State University, Ukraine. In 2004, she received a PhD from the Ecole Nationale Superieure des Telecommunications, France, for her thesis on interpolation and resampling of 3D data. In 2005 she was a postdoctoral fellow in the Multimedia and Multilingual Knowledge Engineering Laboratory of the French Atomic Agency, France, where she worked on creation of a large-scale image ontology for content based image retrieval.  In 2006-2008 Sveta was a postdoctoral researcher at the Center for Language and Cognition Groningen and an associated researcher at the Artificial Intelligence department in the University of Groningen, the Netherlands, working on information retrieval from handwritten documents.

Semantic analysis of patient’s medical images and metadata bears the ability of the creation of decision-support systems which do not only provide explanatory diagnosis but also prognosis for disease development, treatment options and outcome.