XVI International Symposium on Industrial Electronics and Applications - INDEL 2026
4-6 November 2026, Banja Luka, Bosnia and Herzegovina
The Symposium is sponsored by IEEE Industry Applications Society, IEEE Power Electronics Society and IEEE Industrial Electronics Society.
Fortress Kastel
City of Banja Luka
City of Banja Luka
Gospodska Street
Vrbas River
Faculty of Electrical Engineering
INDEL 2016
INDEL 2018
INDEL 2022
Keynote Speaker
From Passive Sensing to Predictive Control: How Digital Twins Are Reshaping Next-Generation Systems
Dr. Bojan Nikolić
Visiting lecturer at
School of Science & Technology
City St George's, University of London
London, UK
Dr. Bojan Nikolić is a researcher and visiting lecturer at City St George’s University of London, specialising in the intersection of smart materials and industrial sensing. He currently serves as the Editor-in-Chief of the IEEE Region 8 Newsletter, overseeing global communications for an expansive network of engineers across Europe, the Middle East, and Africa.
As part of a high-profile Knowledge Transfer Project, Dr. Nikolić is spearheading an initiative to develop bio-inspired digital twin moisture sensors for a Cambridge-based industry leader. His work focuses on transforming physical sensing environments into high-fidelity digital replicas, enabling unparalleled dynamic visualisation and predictive analysis. This builds upon his background in developing non-conventional current sensors using smart materials for high-voltage transmission lines—effectively bridging the gap between academic theory and commercial application.
Beyond his research, Bojan is the co-author of two textbooks and has contributed to a wide range of publications in prestigious international journals and conferences. An active leader within the IEEE, he has led global award-winning student chapters and has been recognised for his professional contributions. Furthermore, he was nominated for the Impact Award in recognition of his outstanding and influential contributions to engineering education.
Abstract — Imagine a surgeon testing a complex drug treatment on a virtual, working replica of your liver to predict its success before you ever take a single pill. Or an automotive engineering team running millions of simulated track laps on a highly detailed digital model of a Formula 1 car to test performance limits before the physical chassis is ever built. This isn't science fiction, it is the world of Digital Twins, the ultimate convergence where physical systems meet real-time data science and computational engineering.
Yet, transitioning from static digital models to true, bidirectional Digital Twins presents formidable technical challenges. It requires modelling complex multi-domain physics, resolving cyclic algebraic loops, and accounting for microscopic physical degradations.
Alongside a panoramic, cross-domain comparison of digital twin maturity across multiple industries, this keynote addresses these practical hurdles using real-world engineering case studies. We will go behind the scenes of a predictive digital twin developed for a high-precision industrial soil sensor, demonstrating how simulating structural anomalies allows engineers to virtually diagnose hardware defects, protect sensor accuracy, and de-risk next-generation product designs. Ultimately, this talk provides engineers with a clear roadmap for transitioning from passive hardware monitoring to truly predictive Digital Twins.
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