Morteza Moradi

Delft University of Technology — Netherlands

Engineering · Physical Sciences

9h-index346citations37works3.92yr avg
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Research Topics

Ultrasonics and Acoustic Wave Propagation(14), Structural Health Monitoring Techniques(10), Thermography and Photoacoustic Techniques(10), Non-Destructive Testing Techniques(7), Mechanical Behavior of Composites(3)

Publications37 total

A multi-level prognostic framework for delamination-induced failure under compressive fatigue
Thin-Walled Structures·2026Open Access
Semi-supervised and unsupervised learning for health indicator extraction from guided waves in aerospace composite structures
Journal of Manufacturing Systems·2025Open Access
Health indicator modeling leveraging time-independent and time-dependent subtasks with adaptive standardization and physics-based Bayesian optimization for aeronautical structures
Engineering Applications of Artificial Intelligence·2025Open Access
Fusing model-based and data-driven prognostic methods for real-time model updating
Mechanical Systems and Signal Processing·2025· 2 citedOpen Access
Damage imaging in structural health monitoring with fine-tuned conditional diffusion model
Mechanical Systems and Signal Processing·2025· 3 cited
Active sensing-based prognostics for impacted CFRP structures under compressive fatigue loading
Structural Health Monitoring·2025Open Access
"Maximizing Bandwidth-to-Thickness Ratio of Electrically Thin Absorbers throughDispersion Engineering"
2025Open Access
Health Indicator Extraction for Single T-Stiffener Composite Structures: A Two-Stage Machine Learning Approach with Adaptive Standardization and Physics-Based Bayesian Optimization
SSRN Electronic Journal·2025Open Access
Damage imaging in structural health monitoring with fine-tuned conditional diffusion model
SSRN Electronic Journal·2025Open Access
Constructing explainable health indicators for aircraft engines by developing an interpretable neural network with discretized weights
Applied Intelligence·2024· 5 cited
A novel intelligent health indicator using acoustic waves: CEEMDAN-driven semi-supervised ensemble deep learning
Mechanical Systems and Signal Processing·2024· 8 citedOpen Access
A generalized machine learning framework to estimate fatigue life across materials with minimal data
Materials & Design·2024· 23 citedOpen Access
An integrated approach for prognosis of Remaining Useful Life for composite structures under in-plane compressive fatigue loading
Composites Part C Open Access·2024· 2 citedOpen Access
Unleashing Bandwidth: Passive Highly Dispersive Matching Network Enabling Broadband Absorbing Microwave Systems
2024
Innovative welding integration of acousto-ultrasonic composite transducers onto thermoplastic composite structures
Structural Health Monitoring·2024· 2 citedOpen Access
A novel machine learning model to design historical-independent health indicators for composite structures
Composites Part B Engineering·2024· 27 citedOpen Access
Overcoming the Upper Bound on the Bandwidth-to-Thickness Ratio of Ultrathin Absorbers
2024Open Access
List of contributors
Elsevier eBooks·2024Open Access
Impact damage assessment in composite laminates using infrared thermography
Elsevier eBooks·2024· 2 cited
Infrared thermography: philosophy, approaches, analysis—processing, and guidelines
Elsevier eBooks·2023· 6 citedOpen Access
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Frequent Co-authors

Dimitrios Zarouchas(16), Juan Chiachío(6), Ferda Cansu Gül(6), Стефано Сфарра(6), Rinze Benedictus(5), Panagiotis Komninos(5), Dimitrios Zarouchas(5), Mir Saeed Safizadeh(4), Younes Ra’di(3), Pardha Sourya Nayani(3), Agnes Broer(2), Behnam Ameri(2), Ranjit Shrestha(2), Wontae Kim(2), Sergio Cantero‐Chinchilla(2), Yuan Liao(2), Pradeep Kundu(2), Dimitrios Chronopoulos(2), Shankar Galiana(2), Peter Wierach(2)