Hashem Shariatmadar

An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification

Alireza Entezami, Hashem Shariatmadar · Structural Health Monitoring · 2017 · 148 citations

Engineering, Machine Learning, Diagnosis +21

Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods

Alireza Entezami, Hashem Shariatmadar, Abbas Karamodin · Structural Health Monitoring · 2018 · 97 citations

Fault Diagnosis, Engineering, Machine Learning +25

Enhancement of seismic performance of beam-column joint connections using high performance fiber reinforced cementitious composites

Mohammad Hossein Saghafi, Hashem Shariatmadar · Construction and Building Materials · 2018 · 81 citations

Reinforcement Material, Engineering, Seismic Performance +9

Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection

Alireza Entezami, Hashem Shariatmadar, Stefano Mariani · Advances in Engineering Software · 2020 · 77 citations · Full text

Damage Mechanism, Reliability Engineering, Time Series Modeling +13

Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks

Alireza Entezami, Hashem Shariatmadar, Stefano Mariani · Structural Health Monitoring · 2019 · 74 citations · Full text

Engineering, Machine Learning, Vibration Measurement +18