Dr. D. (Dimitrios) Zarouchas
Dr. D. (Dimitrios) Zarouchas
Profiel
Biografie
Expertise
Biografie
Dimitrios is an Associate Professor at the Aerospace Engineering Faculty of Delft University of Technology.
He leads the PYTHIA team: Artificial Intelligence for Structures, Prognostics and Health Management, part of Aerospace Structures & Materials Department and he is the founder of the
Center of Excellence in AI for structures.
The focus of the team is the research, development and deployment of intelligent systems for enabling real-time diagnostics and prognostics of lightweight structures used in aviation, space, wind energy and naval industries.
Expertise
- Artificial Intelligence based Structural Health Monitoring
- Prognostics and Health Management
- Cyber-physical Structural Systems and Digital Twins
- Certifiable and Explainable Artificial Intelligence for Structures
- Fatigue, Damage and Mechanics of Composite Structures
Projecten
- ReMAP
- MORPHO
- QUALIFY
- ITN-MARIE CURIE - ENHANCE
- ITN-MARIE CURIE - GW4SHM
- and many more...
Expertise
Publicaties
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2024
A generalized machine learning framework to estimate fatigue life across materials with minimal data
Dharun Vadugappatty Srinivasan / Morteza Moradi / Panagiotis Komninos / Dimitrios Zarouchas / Anastasios P. Vassilopoulos
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2024
A novel machine learning model to design historical-independent health indicators for composite structures
Morteza Moradi / Ferda C. Gul / Dimitrios Zarouchas
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2024
A robust generalized deep monotonic feature extraction model for label-free prediction of degenerative phenomena
Panagiotis Komninos / Thanos Kontogiannis / Dimitrios Zarouchas / Nick Eleftheroglou
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2024
Assessment of the effect of embedded RFID tag on a composite laminate strength
Daniele Ambrosini / Dimitrios Zarouchas / Alessandro Pirondi / Luca Vescovi
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2024
Early detection of impact fatigue damage in an adhesively-bonded connection using acoustic emission
S. Khoshmanesh / S. J. Watson / D. Zarouchas
-
Onderwijs 2024
Onderwijs 2023
Media
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2024-09-17
Opening Cold Spray faciliteit
Verscheen in: TU Delft
-
2023-05-16
Researchers from Delft University of Technology Discuss Findings in Wind Turbines (New Indicator for Damage Localization In a Thick Adhesive Joint of a Composite Material Used In a Wind Turbine Blade)
Verscheen in: Energy Daily News
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2021-06-30
How to make composite airliners even lighter
Verscheen in: AirInsight
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2021-06-29
Kennisbank voor voorspellend onderhoud aan vliegtuigen
Verscheen in: De Ingenieur
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2021-06-17
Kennisbank TU Delft voorspelt conditie vliegtuigconstructie
Verscheen in: Made-In-Europe
Prijzen
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2021-6
3rd Best Place - Young Researcher Paper (IEEE Metrology for AeroSpace)
Best paper presented by a young researcher - 3rd classified for "Health Indicators for Diagnostics and Prognostics of Composite Aerospace Structures"
8th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2021