
Justyna Signerska-Rynkowska
Assistant Professor · Dynamical Systems
Gdańsk University of TechnologyAbout
Dr. Justyna Signerska-Rynkowska is an Assistant Professor at the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology. Her academic career focuses on the intersection of mathematics, neuroscience, and dynamical systems theory, with particular expertise in map-based neuron modeling and nonlinear data analysis.
Her research interests span dynamical systems, mathematical modeling of neurons, neuroscience applications, and data analysis methodologies. She has developed sophisticated mathematical approaches to analyze neuron behavior through discrete models, with special attention to chaotic dynamics, spike patterns, and topological properties of time series.
Analysis of her publication record reveals a strong focus on applying dynamical systems theory to neuroscience problems, particularly through map-based neuron models. Her work bridges abstract mathematical concepts with practical applications in understanding neural activity patterns, with significant contributions to the analysis of Lorenz maps, topological conjugacy testing, and hybrid neuron models.
- Rector's Individual Award III degree for outstanding organizational activity in 2022
- PTKM Award for achievements in mathematical research
- Rector's Team Award III degree for outstanding teaching activity in 2021
- Rector's Individual Award III degree for outstanding teaching activity in 2021
- Rector's Team Award III degree for outstanding organizational activity in 2020
Dr. Signerska-Rynkowska serves as principal investigator for multiple research projects, including 'Challenges of low-dimensional dynamics in hybrid neuron models' funded by the SONATA program (agreement UMO-2019/35/D/ST1/02253) and 'Properties of dynamical systems used in mathematical modelling of neurons activity and electrical circuits' funded by the National Science Centre's PRELUDIUM program. She teaches various courses including Nonlinear Data Analysis Methods, Mathematical Signal Analysis, and English Language in Mathematics, and is an active member of the Team of Differential Equations and Applications of Mathematics.
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