
N. (Nick) Eleftheroglou PhD
N. (Nick) Eleftheroglou PhD
Profiel
Biografie
Dr. Nick Eleftheroglou is an assistant professor in the Faculty of Aerospace Engineering at Delft University of Technology (TU Delft). Nick received his diploma in Mechanical and Aeronautics Engineering cum laude (8.93/10) from University of Patras (Greece) in 2015. After that, he obtained his PhD cum laude at TU Delft in October 2020. Afterwards, he worked for two years as a postdoctoral researcher and business consultant.
Prijzen
In 2020, Nick obtained the prestigious cum laude distinction, only awarded to the top 5% of doctoral researchers, for his Ph.D. thesis "Adaptive prognostics for remaining useful life of composite structures". He also received several awards and scholarships in his undergraduate education from the Hellenic National Scholarship Foundation and the Euro Bank EFG.
Keywords
Sustainable AI, Prognosis, Diagnosis, Data Mining, Machine Learning, Stochastic Models, Bayesian Statistics, Data Fusion, Markov Models, Physics-Informed models, Structures
Expertise
Nick's research focuses on Sustainable AI for Diagnosis, Prognosis, and Health Management of structures and engineering systems. His aim is to develop novel physics-informed AI models able to reduce the related AI carbon emissions, along with improving their accuracy. To that end, his research interests are in the areas of data analysis, diagnosis, and prognosis of systems and structures utilizing machine learning techniques, stochastic models, Bayesian statistics, and health/condition monitoring techniques. In recent years, he has significantly contributed to adaptive prognostics of aeronautical structures developing novel probabilistic Machine Learning algorithms.
Nick’s ultimate goal is to improve safety, reliability, and availability in aviation and other sectors, through Sustainable physics-informed AI methods.
Expertise
Publicaties
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2023
A novel strain-based health indicator for the remaining useful life estimation of degrading composite structures
Georgios Galanopoulos / Nick Eleftheroglou / Dimitrios Milanoski / Agnes Broer / Dimitrios Zarouchas / Theodoros Loutas
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2023
Acoustic emission-based remaining useful life prognosis of aeronautical structures subjected to compressive fatigue loading
Georgios Galanopoulos / Dimitrios Milanoski / Nick Eleftheroglou / Agnes Broer / Dimitrios Zarouchas / Theodoros Loutas
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2023
An SHM Data-Driven Methodology for the Remaining Useful Life Prognosis of Aeronautical Subcomponents
Georgios Galanopoulos / Nick Eleftheroglou / Dimitrios Milanoski / Agnes Broer / Dimitrios Zarouchas / Theodoros Loutas
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2022
Remaining Useful Life Prognosis of Aircraft Brakes
Athanasios Oikonomou / Nick Eleftheroglou / Floris Freeman / Theodoros Loutas / Dimitrios Zarouchas
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2021
In-situ impact analysis during fatigue tests of open-hole carbon fibre reinforced polymer specimens
Dimitrios Zarouchas / Casper van Dien / Nick Eleftheroglou
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Onderwijs 2023
Nevenwerkzaamheden
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2022-03-01 - 2024-02-29
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2022-11-03 - 2024-11-03
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2022-10-27 - 2023-10-27