About Me

Pavle Boškoski is a senior researcher at the Department of Systems and Control at Jožef Stefan Institute. His research interests include characterisation of electrochemical energy systems (fuel cells and batteries), complex social networks and non-linear dynamics with application on biological systems.

My research is focused on data analysis and signal processing with application on complex social systems and non-linar d ynamics of bilogical systems.

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Interests
  • Non-linear dynamics
  • Signal processing
  • Machine learning
Education

  • PhD in Automation

    Jožef Stefan International Postgraduate School

  • MEng in Electrical Engineering

  • BSc in Electrical Engineering

Recent Publications
Felix Mütter, Pavle Boškoski, Stefan Megel, Christoph Hochenauer, Vanja Subotić (2025). Design of Experiment investigation and model-based process parameter optimisation of industrial-sized electrolyte supported solid oxide electrolysis stack for downstream Fischer--Tropsch synthesis. Energy Conversion and Management.
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Martin Brešar, Ralph G Andrzejak, Pavle Boškoski (2025). Reliable detection of directional couplings using cross-vector measures. Chaos: An Interdisciplinary Journal of Nonlinear Science.
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Biljana Mileva Boshkoska, Sagnika Sen, Pavle Boškoski (2024). A market driven identification of current and emerging skills requiring an MBA degree: a topic modelling approach. Journal of Decision Systems.
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Pavle Boškoski, Tjaša Redek, Matija Perne, Biljana Mileva Boshskoska (2024). Career path discovery through bipartite graphs. Journal of Decision Systems.
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Pavle Boškoski, Benjamin Königshofer, Gjorgji Nusev, Aljaž Ostrež, Vanja Subotić (2024). Extracting Quantitative Insights from electrochemical impedance spectra using Statistical Methods. 16th Annual Conference of the Prognostics and Health Management Society, PHM 2024.
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