About
Kresimir Matkovic serves as an Associate Professor in the Computer Graphics department (E193-02) at the Faculty of Informatics, Vienna University of Technology. His research spans multiple domains within visualization, with a particular focus on applying visualization techniques to solve complex problems in geology, healthcare, engineering, and meteorology. His work bridges the gap between theoretical visualization principles and practical applications in diverse scientific fields.
Dr. Matkovic's research interests center around Computer Graphics, Information Visualization (InfoVis), Scientific Visualization (SciVis), and Human-Computer Interaction (HCI). His work demonstrates a strong emphasis on developing interactive visual analytics systems that enable domain experts to explore complex datasets. A significant portion of his research focuses on geological data visualization, particularly for mineral classification and analysis, where he has developed specialized tools like the Spinel Explorer. His work also extends to healthcare visualization, where he has created systems for analyzing intensive care unit data, and engineering applications, where visual analytics supports simulation and design processes.
An analysis of his recent publications reveals a consistent focus on developing interactive visualization techniques for domain-specific applications. His work shows a progression from foundational visualization techniques toward more specialized domain applications, particularly in geology and healthcare. His research demonstrates a strong interdisciplinary approach, collaborating with domain experts to develop visualization solutions that address specific scientific challenges. The publications show consistent contributions to major visualization conferences including IEEE Transactions on Visualization and Computer Graphics and EuroVis.
Dr. Matkovic has supervised multiple students including Radoš, S. (2023) on reprojecting visualizations for advanced interaction, Priselac, M. (2021) on visual analytics of spatial time series data, and Freiler, W. (2008) on set type enabled information visualization. His research has been supported by several major projects including Visual Computing-Basic Research (2008-2013) at VRVis, KASI (2010-2015) focused on Visual Analytics for Complex Engineering Systems, and HypoVis (2011-2015) which explored various visual analytics applications.
His laboratory work centers around the development of interactive visual analytics systems, with particular emphasis on applications in geological data analysis, medical/healthcare visualization, and engineering systems. His team has developed specialized tools like the Spinel Explorer for mineral analysis and Albero for weather forecasting visualization. Current research appears to be focused on advancing interactive techniques for visual analytics, particularly in handling complex, multi-dimensional datasets across various scientific domains.
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