Pavle Boškoski
Associate Professor
Professional Summary
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.
Education
PhD in Automation
Jožef Stefan International Postgraduate School
MEng in Electrical Engineering
BSc in Electrical Engineering
Interests
Non-linear dynamics
Signal processing
Machine learning
Recent Publications
(2026).
A comment on “On the futility of the Fuoss–Kirkwood relation”.
Electrochemistry Communications.
(2026).
Operating sensitivities for steam versus co-electrolysis on a commercial solid-oxide electrolysis stack with Power-to-X implications.
Fuel.
(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.
(2025).
Reliable detection of directional couplings using cross-vector measures.
Chaos: An Interdisciplinary Journal of Nonlinear Science.
(2024).
A market driven identification of current and emerging skills requiring an MBA degree: a topic modelling approach.
Journal of Decision Systems.