Dr. Hamid Shiri is a Research Fellow at the University of Southampton, affiliated with the Electrical Power Engineering Research Group and the Tony Davies High Voltage Laboratory—one of the UK's leading research centers in high-voltage engineering and condition monitoring. He currently contributes to the Horizon Europe-funded CableGNOSIS project, focusing on data-driven diagnostics, signal processing, and predictive maintenance of critical power infrastructure. He holds a Ph.D. in Engineering from Wroclaw University of Science and Technology (Poland), where he was awarded the prestigious Marie Skłodowska-Curie Fellowship and received distinctions for both his doctoral and master’s research. His academic background bridges mechanical/electrical engineering, applied mathematics, and statistical signal processing, machine learning with a strong emphasis on uncertainty quantification and machine learning in complex systems. His research interests include non-Gaussian signal analysis, time-frequency methods, Bayesian modeling, applied machine learning, probablistic machine learning and intelligent condition monitoring of energy systems and industrial assets.