Biography
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.
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Interests
- Non-linear dynamics
- Signal processing
- Machine learning
Education
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PhD in Automation, 2012
Jožef Stefan International Postgraduate School
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MEng in Electrical Engineering, 2007
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BSc in Electrical Engineering, 2002
Projects
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Recent Publications
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(2024).
A market driven identification of current and emerging skills requiring an MBA degree: a topic modelling approach.
Journal of Decision Systems.
(2024).
Survival analysis as semi-supervised multi-target regression for time-to-employment prediction using oblique predictive clustering trees.
Expert Systems with Applications.
(2023).
Diesel operated combined heat and power SOFC system: SOFC characterization and proof of concept.
Journal of Power Sources.
(2023).
Neurovascular coupling in severe aortic valve stenosis.
Brain and Behavior.
(2023).
Directional coupling detection through cross-distance vectors.
Phys. Rev. E.
(2023).
Towards strategies to mitigate degradation and regenerate performance of a solid oxide electrolyzer during co-electrolysis operation.
Journal of Power Sources.
(2022).
Occupation similarity through bipartite graphs.
arXiv preprint arXiv:2202.11064.
(2021).
Detection of coupling in Duffing oscillator systems.
Chaos: An Interdisciplinary Journal of Nonlinear Science.
(2021).
Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells.
Applied Energy.
(2021).
Fast Impedance Measurement of Li-ion Battery Using Discrete Random Binary Excitation and Wavelet Transform.
IEEE Access.
(2021).
Variational Bayes survival analysis for unemployment modelling.
Knowledge-Based Systems.