Research output per year
Research output per year
Personal profile
Research profile
Dr. Nick Eleftheroglou is an Associate Professor in the Department of Aerospace Structures and Materials within the Faculty of Aerospace Engineering at Delft University of Technology and Head of the Intelligent System Prognostics (iSP) for Operations & Maintenance Group. He also serves as a national expert in Prognostics and Health Management for the European Defence Agency and is a co-founder and advisor at Prognora. In addition, he is an Associate Editor for the International Journal of Prognostics and Health Management.
He obtained his Diploma in Mechanical and Aeronautical Engineering (cum laude) from the University of Patras, Greece, in 2015, and his PhD (cum laude) from TU Delft in October 2020.
His research interests lie in the field of Prognostics and Health Management (PHM), with a focus on the fundamentals of prognostics and the development of PHM approaches featuring enhanced reliability, robustness, and feasibility for operations and maintenance.
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Collaborations and top research areas from the last five years
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A group-aware temporal framework for quality indicator prediction and anomaly detection in production
Kontogiannis, T., Zarouchas, D. & Eleftheroglou, N., 2026, In: Results in Engineering. 30, 21 p., 110483.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Bayesian Post-Repair Prognostics for Reliable RUL Prediction
Salinas-Camus, M., Patrick, M. A., Pascoe, J. A. & Eleftheroglou, N., 2026, p. 1-8. 8 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile1 Downloads (Pure) -
Operational Factor Analysis for Predictive Maintenance in Mining Fleets: A Correlation-Based Approach
Goli, M., Kontogiannis, T., Eleftheroglou, N. & S.Shishvan, M., 2026, International Congress and Workshop on Industrial AI and eMaintenance 2025. Kour, R., Karim, R., Kumar, U., Galar, D. & Jägare, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 359-374 16 p. (Lecture Notes in Mechanical Engineering).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
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Probabilistic System-Level Prognostics for Reliability and Risk Assessment in Aerospace Structures
Salinas-Camus, M., Carpentier, O. & Eleftheroglou, N., 2026, Proceedings of the European Safety and Reliability Conference (ESREL2026). Matos, J. C., Lourenço, P. B., Beer, M., Oliveira, D., Patelli, E., Sousa, H. S., Silva, R. A., Santamaria, M. & Turco, C. (eds.). Research Publishing, p. 1348-1356 9 p. 27679Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open Access -
Probabilistic system-level prognostics in aerospace applications
Salinas-Camus, M., Carpentier, O. & Eleftheroglou, N., 2026, In: Results in Engineering. 31, 11 p., 111321.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile
Datasets
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Data underlying the publication: A Bayesian inference-based framework for modelling imperfect post-repair behavior of remaining useful life under uncertainty
Komninos, P. (Creator), Eleftheroglou, N. (Creator), Zarouchas, D. (Creator), Galanopoulos, G. (Creator) & Kontogiannis, A. (Creator), TU Delft - 4TU.ResearchData, 2 Oct 2024
DOI: 10.4121/B7D8031F-95A6-4CCC-8C08-802E694A0F40
Dataset/Software: Dataset
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Composite specimens under fatigue and impact loading conditions
Eleftheroglou, N. (Creator), Zarouchas, D. (Creator) & Benedictus, R. (Creator), TU Delft - 4TU.ResearchData, 3 Apr 2020
DOI: 10.4121/UUID:AD6DE66A-72BE-4835-B97D-7D6AB1BD378C
Dataset/Software: Dataset