Rate My Professor Nick Eleftheroglou

Dr. Nick Eleftheroglou is an Assistant Professor in the Department of Aerospace Structures and Materials within the Faculty of Aerospace Engineering at Delft University of Technology. He earned his Diploma in Mechanical and Aeronautics Engineering cum laude from the University of Patras, Greece, in 2015, and his PhD cum laude from TU Delft in October 2020. He founded and heads the Intelligent System Prognostics (iSP) Group since March 2022, comprising five PhD candidates, two postdoctoral researchers, master's students, and visiting researchers. Eleftheroglou also serves as Associate Editor for the International Journal of Prognostics and Health Management.

His research focuses on Prognostics and Health Management (PHM), developing intelligent methods for prognostics-based decision-making in operations and maintenance under complex operational environments. Expertise areas include remaining useful life prediction, hidden Markov models, structural health monitoring data fusion, similarity learning, data-driven predictive maintenance, and uncertainty management in prognostics. Notable publications are 'A group-aware temporal framework for quality indicator prediction and anomaly detection in production' (2026), 'A comprehensive review and evaluation framework for data-driven prognostics: Uncertainty, robustness, interpretability, and feasibility' (2025), 'A Bayesian inference-based framework for modeling imperfect post-repair behavior of remaining useful life under uncertainty' (2025), 'Similarity learning hidden semi-Markov model for adaptive prognostics of composite structures' (2024), and 'Valve Failure Prognostics in Reciprocating Compressors Utilizing Current Signature Analysis' (2020). His work has received over 796 citations with an h-index of 13 on Google Scholar, contributing significantly to reliable PHM methodologies in aerospace engineering.