Prof. Hannu Toivonen works in the areas of artificial intelligence and data science, more specifically in computational creativity and data mining. He has introduced and solved several novel research problems in the area of data mining since the field was born in early 1990s; his definitions and algorithms have become standard references and textbook material in the field. He has since developed applications of data mining for gene mapping, context-aware computation, document analysis and summarisation, and computational creativity.

The current research focus of Hannu Toivonen is on using data science for computational creativity, on self-aware and creative systems, and on analysis and generation of natural language. Hannu has served as Programme Chair of ECML/PKDD 2002, IEEE ICDM 2014, ICCC 2015 and IJCAI 2022 AI, the Arts & Creativity Special Track.

Sardana is interested in low-resource languages revitalization. She works on development of various tools and resources for low-resource languages. Sardana is currently working on transfer learning to utilize resources from a more resourceful language for creation of digital tools and methods for less-resourced languages. Sardana is specifically interested in Turkic and Finno-Ugric low-resource languages.

Iikka is interested in computational creativity in large language models and other learned models.