https://orcid.org/0000-0003-4183-2455
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
- Research Council of Finland:
Determination of full pitch-angle distributions of solar energetic particle events using artificial intelligence (AIPAD)
2025.09.01 - 2029.08.31 (grant 369549) - Horizon Europe:
Privacy-preserving identity management for digital wallet and secure data sharing and processing for cyber threat intelligence data (PRIVIDEMA)
2024.11.01 - 2027.10.31 - The Digital Europe Programme:
EMotion Artificial Intelligence specialists for Europe (EMAI4EU)
2024.1.1 - 2028.6.30 - Horizon Europe:
Phase IV AI: Privacy compliant health data as a service for AI development
2023.10.01 - 2026.09.30 - Research Council of Finland:
Machine Learning for Systems Pharmacology / Consortium: MASF
2021.09.01 - 2026.07.16 (grant 340182)
Ended projects
- Research Council of Finland:
AI technologies for interaction prediction in biomedicine / Consortium: AIB
2022.01.01 - 2024.12.31 - 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 -
European Agricultural Fund for Rural Development:
Identification of common wild oat and other weeds from drone photographs 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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TribeFlame Ltd:
Computational Analysis of Mobile Game Data
2015.10.01– 2016.09.30. -
Finnish Funding Agency for Technology and Innovation:
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".