Tarutal Ghosh Mondal

Missouri University of Science and Technology — United States

Engineering · Physical Sciences

11h-index530citations36works4.92yr avg
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Research Topics

Infrastructure Maintenance and Monitoring(15), Structural Behavior of Reinforced Concrete(13), Structural Health Monitoring Techniques(9), Concrete Corrosion and Durability(9), Seismic Performance and Analysis(8)

Publications36 total

Automated Noncontact Geometric Quality Assessment of Building Elements Integrating Mixed Reality, Depth Sensing, and Vision Foundation Model
Journal of Computing in Civil Engineering·2025· 1 cited
Multitask learning for roof type and material segmentation toward digital twinning
2025
Time-frequency informed stacked long short-term memory-based generative adversarial network for missing data imputation in sensor networks
Engineering Applications of Artificial Intelligence·2025· 3 cited
Class-wise histogram matching-based domain adaptation in deep learning-based bridge element segmentation
Journal of Civil Structural Health Monitoring·2025· 4 citedOpen Access
Effect of GFRP reinforcement ratio on the shear capacity of novel natural fiber-based engineered cementitious composite beams
Multiscale and Multidisciplinary Modeling Experiments and Design·2025· 1 cited
Deep-Learning-Informed Design Scheme for Prediction of Interfacial Concrete Shear Strength
ACI Structural Journal·2024
Early Detection of Pipeline Natural Gas Leakage from Hyperspectral Imaging by Vegetation Indicators and Deep Neural Networks
Environmental Science & Technology·2024· 17 cited
Multifunctional Models in Digital and Physical Twinning of the Built Environment—A University Campus Case Study
Smart Cities·2024· 16 citedOpen Access
Deep spatiotemporal fusion network for vision-based robotic inspection of structures
Engineering Applications of Artificial Intelligence·2024· 2 cited
ENHANCING DEEP LEARNING-BASED DAMAGE SEGMENTATION WITH DEPTH HALLUCINATION
2023
COMPUTATION-ENABLED DIGITAL TWIN IN THE BUILT ENVIRONMENT
2023· 1 citedOpen Access
A STREAMLINING REMOTE SENSING AND DIGITALIZATION PROCESS FOR BRIDGE INSPECTION
2023· 1 cited
A Deep Learning-Informed Design Scheme for Shear Friction at Concrete-to-Concrete Interface: Recommendations for Inclusion in AASHTO LRFD Guidelines
Transportation Research Record Journal of the Transportation Research Board·2023· 1 cited
Deep Learning-Based RGB-D Fusion for Multimodal Condition Assessment of Civil Infrastructure
Journal of Computing in Civil Engineering·2023· 17 cited
Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification
Journal of Transportation Engineering Part B Pavements·2023· 32 cited
Fusion of color and hallucinated depth features for enhanced multimodal deep learning-based damage segmentation
Earthquake Engineering and Engineering Vibration·2023· 8 cited
Artificial intelligence in civil infrastructure health monitoring—Historical perspectives, current trends, and future visions
Frontiers in Built Environment·2022· 46 citedOpen Access
Applications of computer vision-based structural health monitoring and condition assessment in future smart cities
Elsevier eBooks·2022· 11 cited
Applications of depth sensing for advanced structural condition assessment in smart cities
Elsevier eBooks·2022· 4 cited
Parameter identification of Bouc–Wen type hysteresis models using homotopy optimization
Mechanics Based Design of Structures and Machines·2020· 10 cited
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Frequent Co-authors

Mohammad R. Jahanshahi(11), S. Suriya Prakash(11), Genda Chen(10), Zhenhua Shi(6), Mohammad Hossein Afsharmovahed(3), Zheng Yi Wu(2), Anand Ganganagoudar(2), Ibrahim Ahmed Al-Omari(2), Haibin Zhang(2), Sriharsha Reddy Kothamuthyala(2), Nikkolas J. Edgmond(2), Lesley H. Sneed(2), Rih‐Teng Wu(1), Wei-Men Shen(1), Mohamed H. Abdelbarr(1), Sami F. Masri(1), Uvais Qidwai(1), Yu‐Ting Huang(1), Fangjia Shen(1), Pengfei Ma(1)