Md Riasat Azim 
- (2021): A Data-Driven Damage Assessment Tool for Truss-Type Railroad Bridges Using Train Induced Strain Time-History Response. Dans: Australian Journal of Structural Engineering, v. 22, n. 2 (avril 2021).
- (2021): Data-driven damage identification technique for steel truss railroad bridges utilizing principal component analysis of strain response. Dans: Structure and Infrastructure Engineering, v. 17, n. 8 (août 2021).
- (2020): Damage detection framework for truss railway bridges utilizing statistical analysis of operational strain response. Dans: Structural Control and Health Monitoring, v. 27, n. 8 (7 juillet 2020).
- (2020): Damage Detection of Steel-Truss Railway Bridges Using Operational Vibration Data. Dans: Journal of Structural Engineering (ASCE), v. 146, n. 3 (mars 2020).
- (2020): Densely connected deep neural network considering connectivity of pixels for automatic crack detection. Dans: Automation in Construction, v. 110 (février 2020).
- (2019): Damage detection of steel girder railway bridges utilizing operational vibration response. Dans: Structural Control and Health Monitoring, v. 26, n. 11 (septembre 2019).
- (2017): Seismic performance of embedded steel beam connection in cross-laminated timber panels for tall-wood hybrid system. Dans: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 44, n. 8 (août 2017).
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