Tommi Kärkkäinen

Tommi Kärkkäinen

Professor
Unit
Faculty of Information Technology
Organization unit
Faculty of Information Technology, Educational Technology and Cognitive Science
Room number
Ag C523.2
Email
tommi.karkkainen@jyu.fi
Mobile
+358408054896
Postal address
Mattilanniemi 2
Fields of science
113 Computer and information sciences

Research interests

Digitalization yields to huge amount of interesting – in many cases large, sparse, heterogeneous, and noisy – data, which we in the research group process and utilize together with partners in multiple domains for multiple purposes in novel ways.

Publications

More publications from this author

Research groups

Research orientation of Humble
Research group

Human and Machine based Intelligence in Learning (Humble)

Human and Machine based Intelligence in Learning (Humble) focus on the development of data mining and machine learning methods based on human intelligence and collaboration and uses these methods to advance learning analytics about learners and learning.

Projects

Project

TaMu / Artificial intelligence assisted fracture diagnostics

The study produces multimodal information on how AI affects the clinicians' cognitive processes. The results of the study increase the understanding of the benefits and the risks of AI-assisted MSK-diagnostic process.
Project

High performing machine learning for novel catalyst design (MLNovCat)

The consortium for the project is interdisciplinary, consisting of three groups at the University of Jyväskylä that have demonstrated complementary expertise in the computational catalysis, materials science, and computational science.
Project

Decision Analytics utilizing Causal Models and Multiobjective Optimization (DEMO)

Decision Analytics utilizing Causal Models and Multiobjective Optimization (DEMO) is a profiling (thematic research) area of the University of Jyväskylä.
Project

LearnDigi - Digitalization in and for learning and interaction

LearnDigi is a profiling area of JYU funded by Academy of Finland. We aim to examine ways in which technologies are used to support learning and knowledge construction, and the impacts of increasing digitalization on learning and interaction.