N. (Nick) Eleftheroglou PhD

N. (Nick) Eleftheroglou PhD

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Ruimte: 62.NB 1.27

Profiel

Biografie

Dr. Nick Eleftheroglou is an Assistant Professor and the Head of the Intelligent Sustainable Prognostics (iSP) Group 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.

Expertise

Nick's research focuses on Sustainable AI for Diagnostics, Prognostics, and Health Management of structures and engineering systems. His aim is to develop novel interpretable physics-informed AI models able to reduce the related AI carbon emissions, along with improving their reliability and robustness. 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.

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

Prognostics and Health Management, AI, Diagnostics, Data Mining, Machine Learning, Stochastic Models, Bayesian Statistics, Data Fusion, Markov Models, Physics-Informed models, Structures

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Expertise

Publicaties

Onderwijs 2024

Onderwijs 2023

Nevenwerkzaamheden

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Ruimte: 62.NB 1.27