Jonas Nordqvist
Associate senior lecturerTeaching
Previously I've been involved in many of the first year courses in mathematics and some in mathematics education and computer science here at Linnaeus. However currently I'm primarily involved in the following courses on a regular basis:
- Introduction to machine learning (Spring)
- Linear algebra (Fall)
- Linear algebra advanced course (Spring)
I'm always interested in taking on students for degree projects. Please feel free to contact me if you have an idea to discuss.
Research
My primary research interest is dynamical systems, discrete mathematics and most recently AI and machine learning. In my thesis I studied iterations of power series giving rise to discrete dynamical systems. The iterated functions are studied both from a dynamical perspective and from a number theoretic point of view. The problem have lead to results in number theory, non-archimedean dynamics, and in complex dynamics. Nowadays my primary interest is AI and machine learning and I'm involved in the research group AI and machine learning for optimization and operations research. Our most current project concerns developing new methods and algorithms for reinforcement learning. Moreover, I'm also involved in two projects in DIA as an assistant supervisor.
My ongoing research projects
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Project: Algorithms for reinforcement learning Reinforcement learning is a hot area in machine learning and artificial intelligence. It is the basis for development in robotics, image recognition,…
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Project: Reliability optimization With increased automation, electrification and conversion to renewable energy supply, high costs arise in connection with downtimes and unplanned maintenance of…
Publications
Article in journal (Refereed)
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Nordqvist, J. (2021). Wildly ramified power series with large multiplicity. Journal of Number Theory. 225 (August). 174-197.
Status: Published -
Lindenberg, B., Nordqvist, J., Lindahl, K. (2020). Distributional reinforcement learning with ensembles. Algorithms. 13 (5). 1-13.
Status: Published -
Nordqvist, J., Rivera-Letelier, J. (2020). Residue fixed point index and wildly ramified power series. Journal of the London Mathematical Society. 102 (2). 470-497.
Status: Published -
Lindahl, K., Nordqvist, J. (2018). Geometric location of periodic points of 2-ramified power series. Journal of Mathematical Analysis and Applications. 465 (2). 762-794.
Status: Published -
Nordqvist, J. (2017). Characterization of 2-ramified power series. Journal of Number Theory. 174. 258-273.
Status: Published -
Chandler, R.E., Juhlin, K., Fransson, J., Caster, O., Edwards, R.I., et al. (2017). Current Safety Concerns with Human Papillomavirus Vaccine : A Cluster Analysis of Reports in VigiBase®. Drug Safety. 40 (1). 81-90.
Status: Published
Conference paper (Refereed)
- Buljan, M., Nordqvist, J., Martins, R.M. (2020). An Investigation on the Impact of Non-Uniform Random Sampling Techniques for t-SNE. 2020 Swedish Workshop on Data Science (SweDS), Luleå, 2020,. 1-8.
- Lundberg, J., Nordqvist, J., Laitinen, M. (2019). Towards a language independent Twitter bot detector. Proceedings of 4th Conference of The Association Digital Humanities in the Nordic Countries : Copenhagen, March 6-8 2019. 308-319.
Doctoral thesis, comprehensive summary (Other academic)
- Nordqvist, J. (2020). Residue fixed point index and wildly ramified power series. Doctoral Thesis. Växjö, Linnaeus University Press. 22.
Licentiate thesis, comprehensive summary (Other academic)
- Nordqvist, J. (2018). Ramification numbers and periodic points in arithmetic dynamical systems. Licentiate Thesis. Växjö, Linnaeus University Press. 74.