Andreas Holzinger

Andreas Holzinger, born 1963, started as an apprentice in IT in 1978. While working as an industrial engineer he resumed a parallel second-chance education and began an academic career in 1999. Since 2000 participation in leading positions in 30+ R&D multi-national projects with a budget of 3+ MEUR, 300+ publications, 7000+ citations, h-index = 37, Visiting Professor in Berlin, Innsbruck, Vienna, London (2 x) and Aachen.

One of the grand challenges in our networked world are the large, complex, high-dimensional and weakly structured data sets (“Big data”) and increasing volumes of unstructured information. These enormous amounts of data require new, efficient and user-friendly solutions for knowledge discovery.

Andreas and his team work consistently on a synergistic combination of methodologies and approaches of two areas that offer ideal conditions towards unraveling: Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD), with the goal of supporting human learning with machine learning – to discover new, previously unknown insights into the data. He is passionate on extending advanced methods including time (e.g. information entropy) and space (e.g. computational topology), along with user-centered software engineering methods to create interactive software for mobile applications & content analytics techniques. We follow three promising research streams: Graph-based Data Mining; Entropy-based Data Mining, & Topological Data Mining

hci-kdd.org