Projects per year
Personal profile
About
Dr. Salehi's research interests lie in the areas of structural engineering, resilient infrastructure systems, energy harvesting, advanced sensing systems, data science, and smart cities. The overarching goal of his multidisciplinary research is to develop intelligent systems capable of delivering long-term autonomous monitoring data, as well as implementing self-sensing and multifunctional abilities to enhance infrastructure resilience and mitigate the impacts of hazards on the built environments.
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Research Interests
- Structural Health Monitoring, Resilient and Intelligent Infrastructure, Smart Cities, Machine Learning, Energy Harvesting, and Self-Powered Sensing
Disciplines
- Civil Engineering
- Structural Engineering
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Active
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ERI: Infrastructural Internet-of-Things Monitoring Integrating Edge Computing and Self-Powered Sensing Towards Smart Structures
Salehi, H. (PI)
5/1/25 → 4/30/27
Project: Research project
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ERI: Infrastructural Internet-of-Things Monitoring Integrating Edge Computing and Self-Powered Sensing Towards Smart Structures
Salehi, H. (PI)
5/1/25 → 4/30/27
Project: Research project
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Lab-to-field integration in bridge monitoring: a hybrid structural health monitoring framework employing deep learning and unmanned aerial vehicle imagery
Salehi, H., Jamshidighadikolaei, N., Gopu, V. & Alaywan, W., Jun 2026, In: Machine Learning with Applications. 24, 100872.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine learning-guided mechanical characterisation of 3D-printed plastic materials towards future optimisation of additive manufactured infrastructure components
Bhaila, R. & Salehi, H., 2026, Coresource 4. Emerald Group Publishing Ltd., p. 91-115 25 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Wireless sensing for intelligent monitoring and condition assessment in distributed infrastructure systems
Salehi, H., Jamshidighadikolaei, N., Bhaila, R., Matthews, J. & Jiao, P., Oct 2026, In: Tunnelling and Underground Space Technology. 176, 107836.Research output: Contribution to journal › Review article › peer-review
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A computer vision-based approach for crack detection in ultra high performance concrete beams
Solhmirzaei, R., Salehi, H. & Kodur, V., Apr 2024, In: Computers and Concrete. 33, 4, p. 341-348 8 p.Research output: Contribution to journal › Article › peer-review
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Eco-friendly 3D printed concrete with fine aggregate replacements: Fabrication, characterization and machine learning prediction
Zhu, R., Egbe, K. J. I., Salehi, H., Shi, Z. & Jiao, P., Jan 26 2024, In: Construction and Building Materials. 413, 134905.Research output: Contribution to journal › Article › peer-review