YP Ambassador
Erjon Ballukja
Young Professional Ambassador
Erjon Ballukja
Term 2026-2027
University of Twente
Enschede, The Netherlands
Erjon Ballukja (Member, IEEE) received the B.Sc. and M.Sc. degrees in Automation Engineering from the University of Bologna, Bologna, Italy, in 2017 and 2020, respectively. In June 2025, he successfully defended a joint Ph.D. degree in Electrical and Electronic Engineering, carried out between the University of Nottingham (United Kingdom), the University of Twente (The Netherlands), and the University of Zielona Góra (Poland).
He is currently a Researcher with the Radio Systems and EMC Group at the University of Twente, where his work focuses on Electromagnetic Compatibility (EMC) in power-electronics-rich systems. His research interests include conducted electromagnetic interference, common-mode phenomena, statistical and probabilistic modelling techniques, and their application to EMC prediction, uncertainty quantification, and risk assessment, with particular attention to aerospace environments and the electrification of aviation.
During his doctoral research, Erjon Ballukja addressed emerging EMC challenges arising from the simultaneous operation of multiple power-electronic converters—an increasingly common scenario in electric mobility, renewable energy systems, and modern industrial installations. His work contributes to bridging the gap between traditional single-device EMC assessment and system-level EMC behaviour, with an emphasis on reproducibility, uncertainty awareness, and worst-case prediction.
As an IEEE member, he is strongly motivated to support and engage the Young Professionals community by sharing practical research insights, demystifying advanced EMC concepts, and illustrating how statistical thinking can strengthen engineering intuition. Through outreach activities, he aims to inspire early-career engineers to view EMC not only as a compliance requirement, but as a dynamic and intellectually rewarding engineering discipline.
Talk: From Many Converters to One EMC (Statistical) Problem: Random Walk Techniques for Modelling Multiple Power Electronic Converters
Abstract:
The increasing penetration of power-electronic converters in modern energy and transportation systems has introduced new challenges for Electromagnetic Compatibility (EMC), particularly when multiple converters operate simultaneously within the same network. Current EMC standards and compliance procedures largely focus on single-device evaluation, leaving a significant gap in predicting aggregate electromagnetic interference (EMI) in multi-converter environments.
This talk presents a statistical framework for modelling and predicting conducted electromagnetic emissions in systems composed of multiple power-electronic converters. The approach is based on an original application of Pearson’s Random Walk theory to model common-mode (CM) emissions, where the only controlled variable is the relative switching-on time of individual converters. Each converter is represented as a vector whose phase is linked to its switching instant, enabling the statistical prediction of aggregated emissions across harmonic orders.
The proposed methodology is validated through simulation studies involving eight identical converters and experimental measurements performed on three DC/DC converters. Statistical verification using empirical and theoretical cumulative distribution functions confirms the validity of the model, independently of the harmonic order. As an additional insight, the framework enables – for the first time – an explicit computation of the probability that the aggregated EMI of a multi-converter system is lower than that of a single-converter configuration.
The talk highlights how probabilistic tools can complement traditional deterministic EMC analysis in next-generation power-electronic systems.