With a background in telecommunications, wireless network, and coding theory for distributed storage, I have recently expanded my research interests to the broader fields of data science and sports science. I am associated with two research groups at Dalarna University: the Microdata Analysis group in Borlänge and the Swedish Unit for Metrology in Sports in Falun.
The world is computational. What could be the best way to describe it?
Publications
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Pääkkönen, Joonas. Predicting Cross-Country Skiing FIS Points with Taper Load Sequences and Neural Networks, IX Mathsport International 2022 Proceedings : 2022. Conference paper : refereed.
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Pääkkönen, Joonas. Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race, International Journal of Computer and Information Engineering, 2020, Vol. 14, No. 7, 242-247. Article : refereed.
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Pääkkönen, Joonas, Barreal, Amaro, Hollanti, Camilla, Tirkkonen, Olav. Coded Caching Clusters with Device-to-Device Communications, IEEE Transactions on Mobile Computing, 2019, Vol. 18, No. 2, 264-275. Article : refereed.
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Pääkkönen, Joonas, Dharmawansa, Prathapasinghe, Freij-Hollanti, Ragnar, Hollanti, Camilla, Tirkkonen, Olav. File Size Distributions and Caching for Offloading, 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) : 2019. Conference paper : refereed.
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Barreal, Amaro, Pääkkönen, Joonas, Karpuk, David, Hollanti, Camilla, Tirkkonen, Olav. A Low-Complexity Message Recovery Method for Compute-and-Forward Relaying, 2015 IEEE Information Theory Workshop - Fall (ITW) : 2015. Conference paper : refereed.
