Research output per year
Research output per year
Personal profile
Research profile
Morteza Moradi was born in Isfahan (Esfahan), Isfahan county, Iran, in 1992. He received the B.Sc. degree in Mechanical Engineering from the University of Kashan, Isfahan, Iran, in 2014 and the M.Sc. degree in Aerospace Engineering from Iran University of Science and Technology (IUST), Tehran, Iran, in 2018. From 2018 to 2020, he was a Research Assistant with Nondestructive Testing and Condition Monitoring Laboratory, Iran University of Science & Technology (IUST). He is currently pursuing his researches as Ph.D. student in the Structural Integrity and Composites (SI&C), Faculty of Aerospace Engineering, Delft University of Technology (TU Delft). His research interests include Non-Destructive Testing (NDT), Structural Health Monitoring (SHM), Thermography, Acoustic Emission, Composite Structures, Finite Element Modeling (FEM), Signal and Image Processing, Artificial Intelligence (AI), and Information Fusion.
Keywords
- TL Motor vehicles. Aeronautics. Astronautics
- Composite Structures
- Damage inspection and diagnosis
- SHM
- AI
- Information Fusion
- NDT
- Thermography
- TJ Mechanical engineering and machinery
- Signal Processing
- Image Processing
Fingerprint
Dive into the research topics where M. Moradi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Acousto-ultrasonic composite transducers integration into thermoplastic composite structures via ultrasonic welding
Galiana, S., Moradi, M., Wierach, P. & Zarouchas, D., 2023, Proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials. Patras, Greece, Vol. 10. p. 956-965 10 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile17 Downloads (Pure) -
Developing health indicators for composite structures based on a two-stage semi-supervised machine learning model using acoustic emission data
Moradi, M., Chiachío, J. & Zarouchas, D., 2023, Proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials. Patras, Greece, Vol. 10. p. 923-934 12 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
-
Infrared thermography: philosophy, approaches, analysis—processing, and guidelines
Shrestha, R., Moradi, M., Sfarra, S. & Kim, W., 2023, Non-Destructive Material Characterization Methods. Elsevier, p. 249-279 31 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review
-
Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data
Moradi, M., Broer, A., Chiachío, J., Benedictus, R., Loutas, T. H. & Zarouchas, D., 2023, In: Engineering Applications of Artificial Intelligence. 117, 19 p., 105502.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile7 Citations (Scopus)62 Downloads (Pure) -
Intelligent Health Indicators Based on Semi-supervised Learning Utilizing Acoustic Emission Data
Moradi, M., Broer, A., Chiachío, J., Benedictus, R. & Zarouchas, D., 2023, European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 3. Rizzo, P. & Milazzo, A. (eds.). Springer, p. 419-428 10 p. (Lecture Notes in Civil Engineering; vol. 270 LNCE).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile1 Citation (Scopus)18 Downloads (Pure)
Datasets
-
Acoustic emission dataset of single-stiffener composite panels subjected to impact and run-to-failure fatigue loading
Moradi, M. (Creator), Broer-Reinoso Rondinel, A. A. R. (Contributor) & Zarouchas, D. (Contributor), Mendeley Data, 21 Sep 2020
DOI: 10.17632/ys8r8m7bx2.2, https://data.mendeley.com/datasets/ys8r8m7bx2/2
Dataset/Software: Dataset