Theresia Gschwandtner is a university Postdoctoral Researcher at the information engineering group (ieg) of the Institute for Software Technology and Interactive Systems at the Vienna University of Technology, Austria. Her research focuses are Information Visualization and Visual Analytics. She holds a PhD in Information Visualization, which focused on representing a patientís reactions on clinical actions and making them interactively explorable.

Theresia has been involved in several national and international research projects, such as REMINE (High Performances Prediction, Detection and Monitoring Platform for Patient Safety Risk Management) and CVAST (Centre for Visual Analytics Science and Technology). CVAST aims at applying methods of Visual Analytics to data analysis problems (with a particular focus on time-oriented data) and thus, at developing innovative, user-centered, and task-oriented approaches to support the analysis of huge amounts of data. The main challenge of Visual Analytics is to combine visual representations and interaction techniques with analytical reasoning techniques and data mining methods and thus, taking advantage of the humanís cognitive abilities to support the analysis of large amounts of information. We apply the developed methods within commercial applications to illustrate their business value and economic impacts.

Theresia reviewed for several scientific conferences and journals, such as IEEE Conferences on Visual Analytics Science and Technology (IEEE VAST) and IEEE Transactions on Visualization and Computer Graphics (TVCG, IEEE CS). She has been lecturing Information Visualization and Information Design as well as projects and seminars in Media Informatics, Medical Informatics, Software Engineering, and Visual Computing.

Personal Web Site: http://ieg.ifs.tuwien.ac.at/~gschwand/