Tommi Kärkkäinen
| Contact search available for JYU staff members. ORCID link: https://orcid.org/0000-0003-0327-1167 |
Active JYU affiliations
- Faculty of Information Technology, Professor
Previous, inactive or other affiliations
- Department of Mathematical Information Technology (University of Jyväskylä), Professor, Ended
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.
Fields of science
Projects as Principal investigator
- High performing machine learning for novel catalyst design
- Academy of Finland
- STRUCTURE PREDICTION OF HYBRID NANOPARTICLES VIA ARTIFICIAL INTELLIGENCE
- Academy of Finland
Projects as Team Member
- Multiprofessional training center for simulation in virtual and real-time settings
- Hämäläinen, Raija
- Regional Council of Central Finland
- Structure prediction of hybrid nanoparticles via artificial intelligence (HNP-AI)
- Häkkinen, Hannu
- Academy of Finland
- Competitive funding to strengthen universities’ research profiles. Profiling actions at the JYU, round 3
- Hämäläinen, Keijo
- Academy of Finland
- High performing machine learning for novel catalyst design
- Honkala, Karoliina
- Academy of Finland
Publications and other outputs
1 of 14
Author of research datasets
- Au38Q MBTR-K3 (2020) Linja, Joakim; et al.; doi:10.5281/zenodo.4268064
- Cognitive and motoric skills of pilots in simulated challenging landing scenarios; Hämäläinen, Raija; et al.
- Kernels and Graphs on M25 + H (2023) Pihlajamäki, Antti; et al.
- Kernels and Graphs on M25 + H (parent repository) (2023) Pihlajamäki, Antti; et al.
