Silvia Miksch

Silvia Miksch is a University Professor and head of the Research Center for Visual Analytics Science and Technology (CVAST) at the Institute of Software Technology & Interactive Systems, Vienna University of Technology (TU Wien). She previously served as University Professor and head of the Department of Information and Knowledge Engineering at Danube University Krems (2006–2010) and founded the Laura Bassi Centre of Expertise "CVAST" in 2010, funded by the Austrian Federal Ministry of Science, Research, and Economy.

Her research focuses on Visualization and Visual Analytics, particularly Focus+Context techniques, interaction design, and time-oriented data analysis. She has made significant contributions to the development of systems that support the exploration of complex temporal and networked data in domains such as economics and finance.

The recent publications highlight her work in guidance-enriched visual analytics for economic networks and modeling financial data over time with incremental domain knowledge. These works reflect a strong trend toward integrating user guidance, temporal reasoning, and domain-specific knowledge into visual analytics frameworks.

Scientific Awards and Recognition:

• Established the awarded Laura Bassi Centre of Expertise "CVAST – Center for Visual Analytics Science and Technology"

Advising and Service: While no formal students are listed, Silvia Miksch has played a major leadership role in shaping the research landscape. She has served as conference paper co-chair for IEEE VAST 2010 and 2011, EuroVis 2012, and has been on the editorial boards of top journals including Artificial Intelligence in Medicine, IEEE TVCG, Computer Graphics Forum, and Journal of Biomedical Informatics. She actively contributes to the strategic direction of the field through roles in the VAST steering committee and the VIS Executive Committee (VEC).

Labs and Teams: She leads CVAST (Center for Visual Analytics Science and Technology), a research center dedicated to advancing visual analytics through interdisciplinary collaboration and innovation.