Welcome!
Tapio Pahikkala currently works as a professor of computer science at the Department of Computing, University of Turku, Finland. His research interests consists of the theory and algorithmics of machine learning and data analysis methods, their performance evaluation especially with resampling methods and their applications in various different fields.
Ongoing projects
- Funded by the European Union, starting on November 2024:
Privacy-preserving identity management for digital wallet and secure data sharing and processing for cyber threat intelligence data (PRIVIDEMA)
- Funded by the European Union:
EMotion Artificial Intelligence specialists for Europe (EMAI4EU)
- Funded by the European Union:
Phase IV AI: Privacy compliant health data as a service for AI development
- Academy of Finland granted funding for
AI technologies for interaction prediction in biomedicine / Consortium: AIB
project for 2022.01.01 - 2024.12.31 - Academy of Finland granted funding for
Machine Learning for Systems Pharmacology / Consortium: MASF
project for 2021.09.01 - 2025.08.31
Ended projects
- Business Finland: Privacy-preserving AI for Synthetic and Anonymous Health Data (Privasa).
- Academy of Finland:
Tensor Learning for Biomedicine / Consortium: TensorBiomed
2018.01.01 - 2019.12.31 -
Academy of Finland:
Tensor-Based Machine Learning for Big Data with Inherent Dependencies / Consortium: TensorML
2017.09.01 - 2021.08.31 -
Centre for Economic Development, Transport and the Environment: Funding for a Countryside Innovation Group for a project
Identification of common wild oat and other weeds from drone photographs
. - Regional Council of Southwest Finland, ICT education export, 1.11.2016-31.10.2017
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A joint research project with TribeFlame Ltd.
Computational Analysis of Mobile Game Data
2015.10.01– 2016.09.30. -
The Finnish Funding Agency for Technology and Innovation (Tekes) funded project
New computational methods for the effective utilization of public data
2013.01.01.-2014.12.31. - Academy of Finland, Postdoctoral researchers project for the years 2010-2012: "Machine Learning for Automated Solving of Multitask Problems".