Dr. D. (Dimitrios) Zarouchas
Dr. D. (Dimitrios) Zarouchas
Profile
Biography
Dr. Dimitrios Zarouchas is an Assistant Professor in the Structural Integrity & Composites Group. His research focuses on artificial intelligence for composite structrures, prognostics and health management. Dimitrios leads a team of 10 researchers and he has published more than 60 papers in peer reviewed journals and international conferences.
Expertise
My area of research covers the application of artificial intelligence strategy for composite structures. More specifically:
1. Prognostics & Diagnostics of composite structures
2. Structural Health Monitoring techniques
3. Machine learning & advanced data analytics
4. Probabilistic data driven methodologies with uncertainty quantification
Biography
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
Projects
- ReMAP
- MORPHO
- QUALIFY
- ITN-MARIE CURIE - ENHANCE
- ITN-MARIE CURIE - GW4SHM
- and many more...
Expertise
Publications
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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
Early detection of impact fatigue damage in an adhesively-bonded connection using acoustic emission
S. Khoshmanesh / S. J. Watson / D. Zarouchas
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2024
Particle filter-based fatigue damage prognosis by fusing multiple degradation models
Tianzhi Li / Jian Chen / Shenfang Yuan / Dimitrios Zarouchas / Claudio Sbarufatti / Francesco Cadini
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2023
A Comprehensive Study on Measurement Accuracy of Distributed Fiber Optic Sensors Embedded within Capillaries of Solid Structures
Y. Xiao / C.D. Rans / D. Zarouchas / R. Benedictus
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2023
A Model-Assisted Probability of Detection Framework for Optical Fiber Sensors
F. Falcetelli / N. Yue / Leonardo Rossi / Gabriele Bolognini / Filippo Bastianini / D. Zarouchas / Raffaella Di Sante
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Media
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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)
Appeared in: Energy Daily News
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2021-06-30
How to make composite airliners even lighter
Appeared in: AirInsight
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2021-06-29
Kennisbank voor voorspellend onderhoud aan vliegtuigen
Appeared in: De Ingenieur
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2021-06-17
Kennisbank TU Delft voorspelt conditie vliegtuigconstructie
Appeared in: Made-In-Europe
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2021-06-11
Dimitrios Zarouchas in de media 2021
Appeared in: Aviation maintenance
Prizes
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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