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ORCIDMohammad R. Jahanshahi 0001
Person information
- affiliation: Purdue University, Lyle School of Civil Engineering, West Lafayette, IN, USA
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2020 – today
- 2023
[j17]Tarutal Ghosh Mondal
, Mohammad R. Jahanshahi, Zheng Yi Wu:
Deep Learning-Based RGB-D Fusion for Multimodal Condition Assessment of Civil Infrastructure. J. Comput. Civ. Eng. 37(4) (2023)- 2022
- [j16]Fu-Chen Chen, Abhishek Subedi, Mohammad R. Jahanshahi, David R. Johnson, Edward J. Delp:
Deep Learning-Based Building Attribute Estimation from Google Street View Images for Flood Risk Assessment Using Feature Fusion and Task Relation Encoding. J. Comput. Civ. Eng. 36(6) (2022) - 2021
- [j15]Elisa Bertino, Mohammad R. Jahanshahi, Ankush Singla, Rih-Teng Wu:
Intelligent IoT systems for civil infrastructure health monitoring: a research roadmap. Discov. Internet Things 1(1) (2021) - 2020
- [j14]Srinath Shiv Kumar, Mingzhu Wang, Dulcy M. Abraham, Mohammad R. Jahanshahi, Tom Iseley, Jack C. P. Cheng:
Deep Learning-Based Automated Detection of Sewer Defects in CCTV Videos. J. Comput. Civ. Eng. 34(1) (2020) - [j13]Fu-Chen Chen, Mohammad R. Jahanshahi:
ARF-Crack: rotation invariant deep fully convolutional network for pixel-level crack detection. Mach. Vis. Appl. 31(6): 47 (2020) - [j12]Fu-Chen Chen, Mohammad R. Jahanshahi:
NB-FCN: Real-Time Accurate Crack Detection in Inspection Videos Using Deep Fully Convolutional Network and Parametric Data Fusion. IEEE Trans. Instrum. Meas. 69(8): 5325-5334 (2020)
2010 – 2019
- 2019
- [j11]Rih-Teng Wu, Ankush Singla, Mohammad R. Jahanshahi, Elisa Bertino, Bong Jun Ko, Dinesh C. Verma:
Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures. Comput. Aided Civ. Infrastructure Eng. 34(9): 774-789 (2019) - [j10]Ahmadreza Mahmoudzadeh, Amir Golroo, Mohammad R. Jahanshahi, Sayna Firoozi Yeganeh:
Estimating Pavement Roughness by Fusing Color and Depth Data Obtained from an Inexpensive RGB-D Sensor. Sensors 19(7): 1655 (2019) - 2018
- [j9]Elisa Bertino, Mohammad R. Jahanshahi:
Adaptive and Cost-Effective Collection of High-Quality Data for Critical Infrastructure and Emergency Management in Smart Cities - Framework and Challenges. ACM J. Data Inf. Qual. 10(1): 1:1-1:6 (2018) - [j8]Jongseong Choi, Chul Min Yeum, Shirley J. Dyke, Mohammad R. Jahanshahi:
Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade. Sensors 18(9): 3017 (2018) - [j7]Fu-Chen Chen, Mohammad R. Jahanshahi:
NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion. IEEE Trans. Ind. Electron. 65(5): 4392-4400 (2018) - 2017
- [j6]Fu-Chen Chen, Mohammad R. Jahanshahi, Rih-Teng Wu, Chris Joffe:
A texture-Based Video Processing Methodology Using Bayesian Data Fusion for Autonomous Crack Detection on Metallic Surfaces. Comput. Aided Civ. Infrastructure Eng. 32(4): 271-287 (2017) - [j5]Mohammad R. Jahanshahi, Wei-Min Shen, Tarutal Ghosh Mondal, Mohamed Abdelbarr, Sami F. Masri, Uvais A. Qidwai:
Reconfigurable swarm robots for structural health monitoring: a brief review. Int. J. Intell. Robotics Appl. 1(3): 287-305 (2017) - [j4]Mohammad R. Jahanshahi, Fu-Chen Chen, Adnan I. Ansar, Curtis W. Padgett, Daniel S. Clouse, David S. Bayard:
Accurate and Robust Scene Reconstruction in the Presence of Misassociated Features for Aerial Sensing. J. Comput. Civ. Eng. 31(6) (2017) - [c2]Margaret L. Phillips, Mohammad Reza Jahanshahi:
Integrating data information literacy into a service-learning engineering design course. FIE 2017: 1-5 - 2016
- [c1]Muhammad Aliakbar, Uvais Qidwai, Mohammad R. Jahanshahi, Sami F. Masri, Wei-Min Shen:
Progressive image stitching algorithm for vision based automated inspection. ICMLC 2016: 337-343 - 2013
- [j3]Mohammad R. Jahanshahi, Sami F. Masri:
Parametric Performance Evaluation of Wavelet-Based Corrosion Detection Algorithms for Condition Assessment of Civil Infrastructure Systems. J. Comput. Civ. Eng. 27(4): 345-357 (2013) - [j2]Mohammad R. Jahanshahi, Farrokh Jazizadeh, Sami F. Masri, Burcin Becerik-Gerber:
Unsupervised Approach for Autonomous Pavement-Defect Detection and Quantification Using an Inexpensive Depth Sensor. J. Comput. Civ. Eng. 27(6): 743-754 (2013) - [j1]Mohammad R. Jahanshahi, Sami F. Masri, Curtis W. Padgett, Gaurav S. Sukhatme:
An innovative methodology for detection and quantification of cracks through incorporation of depth perception. Mach. Vis. Appl. 24(2): 227-241 (2013)
Coauthor Index
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