Mohammad R. Jahanshahi
Engineering · Purdue University West Lafayette
Publications
105
Citations
4,736
Est. group size
~4
Recurring co-author estimate
Active years
27
Publishing since 2000
Mohammad R. Jahanshahi works on automated methods for inspecting and monitoring civil infrastructure such as roads, bridges, and buildings. His research combines computer vision, deep learning, sensors like cameras and depth (RGB-D) devices, and physics-based models to detect problems such as cracks, corrosion, and structural damage, including after disasters. Recent work also explores 'digital twins' (computer models that mirror real structures) and repurposing existing sensors for infrastructure health monitoring.
Publication output fluctuated over the past decade, dipping around 2020-2021 before rebounding to a recent high in 2023 and remaining active through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Latent infrastructure sensing: Repurposing existing sensing mechanisms for infrastructure Health monitoring
Structural Health Monitoring · 2026
- CorFormer: a hybrid transformer-CNN architecture for corrosion segmentation on metallic surfaces
Machine Vision and Applications · 2025
- Affordable, Autonomous, and Comprehensive Road Condition Assessment Using RGB-D Sensors: Enhancing Pavement Condition Evaluation
IEEE Transactions on Intelligent Transportation Systems · 2025
- Physics-Informed Machine Learning for Hybrid Digital Twin–Enhanced Damage Detection and Localization
Journal of Engineering Mechanics · 2025
- Structural Damage Identification Using Physics-Informed Neural Network and Transfer Learning
2025
- Physics-Informed Machine Learning-Driven Structural Digital Twin for Damage Identification
2025
- Advanced Anomaly Detection in Structural Health Monitoring Data Using Vision Transformer and Multi-Domain Feature Fusion
SSRN Electronic Journal · 2024
- 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
- Deep Learning-Based RGB-D Fusion for Multimodal Condition Assessment of Civil Infrastructure
Journal of Computing in Civil Engineering · 2023
- Fusion of color and hallucinated depth features for enhanced multimodal deep learning-based damage segmentation
Earthquake Engineering and Engineering Vibration · 2023
- REVOLUTIONIZING ROAD MAINTENANCE: A DATA FUSION AND AI-BASED APPROACH
2023
- ENHANCING DEEP LEARNING-BASED DAMAGE SEGMENTATION WITH DEPTH HALLUCINATION
2023
- UNLEASHING THE POWER OF MULTI-SOURCE DATA FOR BUILDING ATTRIBUTE PREDICTION BASED ON DEEP LEARNING IN FLOOD RISK ASSESSMENT
2023
- Applications of computer vision-based structural health monitoring and condition assessment in future smart cities
Elsevier eBooks · 2022
- Applications of depth sensing for advanced structural condition assessment in smart cities
Elsevier eBooks · 2022
- Figshare×5
- Structural Health Monitoring×4
- Journal of Computing in Civil Engineering×4
- Structural Control and Health Monitoring×4
- Mechanical Systems and Signal Processing×3
- Luh‐Maan Chang
Engineering · Purdue University West Lafayette
- Julio Ramírez
Engineering · Purdue University West Lafayette
- Lissette Iturburu
Engineering · Purdue University West Lafayette
- Mark Bowman
Engineering · Purdue University West Lafayette
- Md. Al-Masrur Khan
Engineering · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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