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
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
Follow-up groups
Projects as Principal investigator
- High performing machine learning for novel catalyst design
- Research Council of Finland
- STRUCTURE PREDICTION OF HYBRID NANOPARTICLES VIA ARTIFICIAL INTELLIGENCE
- Research Council 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
- Research Council of Finland
- Competitive funding to strengthen universities’ research profiles. Profiling actions at the JYU, round 3
- Hämäläinen, Keijo
- Research Council of Finland
- High performing machine learning for novel catalyst design
- Honkala, Karoliina
- Research Council of Finland
Publications and other outputs
1 of 16
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 (2024) 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.
