Teaching
I have extensive experience teaching at various levels within both bachelor's and master's programs, as well as the engineering program in technical mathematics. Additionally, I have many years of experience supervising thesis projects in both mathematics and computer science.
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 various aspects of machine learning and AI. 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 machine learning and AI and I'm part of 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.
I'm an assistant supervisor of five PhD-students. These are from mathematics and computer science and four of them are related to the project DIA.
My research groups
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AI and machine learning for optimization and operations research Under this research theme, we develop both mathematical theory and applications for artificial intelligence and machine learning in…
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Computational Mathematics for Predictive Digital Twins (PreDiTwin) In recent years, remarkable progress in mathematics, process-based modeling, data science, and sensor technology has opened up…
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Data Intensive Software Technologies and Applications (DISTA) The research group Data Intensive Software Technologies and Applications studies data-driven approaches, such as machine learning,…
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: HPC for SME The aim of the project is to provide small and medium-sized enterprises (SMEs) in the Linnaeus region with the opportunity to enhance their data-driven capabilities with the…
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Project: In-line visual inspection using unsupervised learning The purpose of this project is to introduce and improve machine learning- assessment of the quality of massproduced industrial (steel)…
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Project: Optimization for sustainable energy supply and food production in rural areas The project is about how energy systems on farms can be optimized to realize the potential that farms have to be…
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Seed project: Investigate Machine Learning Techniques for Decision-Making Support in K-12 Educational Context The main aim of this seed application is to investigate the use and application of Machine…
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Seed project: Machine learning stabilized steady-state advective-diffusive heat transport This seed project aims to explore and use the strengths of Scientific Machine Learning (SciML) to solve the…
Publications
Article in journal (Refereed)
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Björnberg, D., Ericsson, M., Lindeberg, J., Löwe, W., Nordqvist, J. (2024). Image generation of log ends and patches of log ends with controlled properties using generative adversarial networks. Signal, Image and Video Processing. 18. 6481-6489.
Status: Published -
Eriksson, S., Nordqvist, J. (2024). Inverting the sum of two singular matrices. Results in Applied Mathematics. 22.
Status: Published -
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)
- Björnberg, D., Ericsson, M., Löwe, W., Nordqvist, J. (2024). Unpaired Image-to-Image Translation to Improve Log End Identification. ESANN 2024 proceedings. 673-678.
- Lindenberg, B., Nordqvist, J., Lindahl, K. (2022). Conjugated Discrete Distributions for Distributional Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 7516-7524.
- 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.