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Publications

Journal Articles

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Solhmirzaei, R., Salehi, H. and Kodur, V. (2024). A computer vision-based approach for crack detection in ultra high performance concrete beams”, Computers and Concrete, 33(4), p.341.
https://doi.org/10.1016/j.apmt.2024.102092


Li, S., Tang, X., Guo, W., Li, Y., Chen, D., Zhang, J., Zhang, Q., Xu, H., Wan, Z., Premadasa, R., Lu, H., Zhang, Q., Salehi, H., & 
Jiao, P. (2024). “Numerical simulations of piezoelectricity and triboelectricity: From materials, structures to devices”, Applied Materials Today, 37, 102092.

https://doi.org/10.1016/j.apmt.2024.102092


Zhu, R, Egbe, K., Salehi, H., Shi, Z., & Jiao, P. (2024). “Eco-friendly 3D printed concrete with fine aggregate replacements: Fabrication, characterization and machine learning prediction”, Construction and Building Materials, 413, 134905.
https://doi.org/10.1016/j.conbu
ildmat.2024.134905 


Salehi, H., Gorodetsky, A., Solhmirzaei, R., & Jiao, P. (2023). “High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition”, Engineering Applications of Artificial Intelligence, 125, 106659.
https://doi.org/10.1016/j.engappai.2023.106659



Chen, Z., Lin, Y.T., Salehi, H., Che, Z., Zhu, Y., Ding, J., Sheng, B., Zhu, R. and Jiao, P. (2023). Advanced Fabrication of Mechanical Metamaterials Based on Micro/Nanoscale Technology”, Advanced Engineering Materials.
https://doi.org/10.1002/adem.202300750



Solhmirzaei, R., Salehi, H., & Kodur, V. (2022). “Predicting flexural capacity of ultrahigh-performance concrete beams: machine learning–based approach”, Journal of Structural Engineering, 148(5), 04022031.
https://doi.org/10.1061/(ASCE)ST.1943-541X.0003320


Santos, C. N., Cetin, K. S., & Salehi, H. (2022). “Energy-efficient technology retrofit investment behaviors of Midwest households in lower and higher income regions”, Sustainable Cities and Society, 86, 104141.
https://doi.org/10.1016/j.scs.2022.104141


He, Z., Li, W., Salehi, H., Zhang, H., Zhou, H., & Jiao, P. (2022). “Integrated structural health monitoring in bridge engineering”, Automation in Construction, 136, 104168.
https://doi.org/10.1016/j.autcon.2022.104168


Salehi, H., Burgueño, R., Chakrabartty, S., Lajnef, N., & Alavi, A. H. (2021). “A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends”, Engineering Structures, 234, 111963.
https://doi.org/10.1016/j.engstruct.2021.111963


Solhmirzaei, R., Salehi, H., & Kodur, V. (2021). “Response Prediction of Ultra-High-Performance Concrete Beams using Machine Learning”, ACI Special Publication, 350, 113-122.
https://doi.org/10.14359/51734317


Zhang, Q., Barri, K., Jiao, P., Salehi, H., & Alavi, A. H. (2021). “Genetic programming in civil engineering: Advent, applications and future trends”, Artificial Intelligence Review, 54, 1863-1885.
https://doi.org/10.1108/02644401111118132


De Moraes, E. A. B., Salehi, H., & Zayernouri, M. (2021). “Data-driven failure prediction in brittle materials: A phase field-based machine learning framework”, Journal of Machine Learning for Modeling and Computing, 2(1).
https://doi.org/10.1615/JMachLearnModelComput.2021034062


Solhmirzaei, R., Salehi, H., Kodur, V., & Naser, M. Z. (2020). “Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams”, Engineering structures, 224, 111221.
https://doi.org/10.1016/j.engstruct.2020.111221


Naser, M. Z., & Salehi, H. (2020). “Machine learning-driven assessment of fire-induced concrete spalling of columns”, ACI Materials Journal, 117(6), 7-16.
https://doi.org/10.14359/51728120


Salehi, H., Das, S., Biswas, S., & Burgueño, R. (2019). “Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals”, Expert Systems with Applications, 135, 259-272.
https://doi.org/10.1016/j.eswa.2019.05.051


Salehi, H., Biswas, S., & Burgueño, R. (2019). “Data interpretation framework integrating machine learning and pattern recognition for self-powered data-driven damage identification with harvested energy variations”, Engineering Applications of Artificial Intelligence, 86, 136-153.
https://doi.org/10.1016/j.engappai.2019.08.004


Salehi, H., & Burgueño, R. (2019). “Pattern recognition framework using asynchronous discrete binary data for condition and damage assessment in plate-like structures”, Journal of Intelligent Material Systems and Structures, 30(8), 1200-1215.
https://doi.org/10.1177/1045389X19835948


Salehi, H., Das, S., Chakrabartty, S., Biswas, S., & Burgueño, R. (2019). “An algorithmic framework for reconstruction of time-delayed and incomplete binary signals from an energy-lean structural health monitoring system”, Engineering Structures, 180, 603-620.
https://doi.org/10.1016/j.engstruct.2018.11.072


Salehi, H., Chakrabartty, S., Biswas, S., & Burgueno, R. (2019). “Localized damage identification in plate-like structures using self-powered sensor data: A pattern recognition strategy”, Measurement, 135, 23-38.
https://doi.org/10.1016/j.measurement.2018.11.023


Salehi, H., Das, S., Chakrabartty, S., Biswas, S., & Burgueño, R. (2018). “Damage identification in aircraft structures with self‐powered sensing technology: A machine learning approach”, Structural Control and Health Monitoring, 25(12), e2262.
https://doi.org/10.1002/stc.2262


Salehi, H., Das, S., Chakrabartty, S., Biswas, S., & Burgueño, R. (2018). “Structural damage identification using image‐based pattern recognition on event‐based binary data generated from self‐powered sensor networks”, Structural Control and Health Monitoring, 25(4), e2135.
https://doi.org/10.1002/stc.2135


Salehi, H., & Burgueño, R. (2018). “Emerging artificial intelligence methods in structural engineering”, Engineering structures, 171, 170-189.
https://doi.org/10.1016/j.engstruct.2018.05.084


Das, S., Salehi, H., Shi, Y., Chakrabartty, S., Burgueno, R., & Biswas, S. (2017). “Towards packet-less ultrasonic sensor networks for energy-harvesting structures”, Computer Communications, 101, 94-105.
https://doi.org/10.1016/j.comcom.2016.11.001


Salehi, H., Taghikhany, T., & Yeganeh Fallah, A. (2014). “Seismic protection of vulnerable equipment with semi-active control by employing robust and clipped-optimal algorithms”, International Journal of Civil Engineering, 12(4), 413-428.

Conference Proceedings

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Salehi, H. (2021). “An algorithmic framework employing tensor decomposition and Bayesian inference for data reconstruction in intelligent transportation systems”, In Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV (Vol. 11592, pp. 221-233). SPIE.
https://doi.org/10.1117/12.2591181


Morgan, J. K., Solhmirzaei, R., & Salehi, H. (2019). “Work in Progress: Improving Team Performance in First-Year Engineering Students”, In 2019 ASEE Annual Conference & Exposition.
https://doi.org/10.18260/1-2--33628


Salehi, H., Das, S., Chakrabartty, S., Biswas, S., & Burgueno, R. (2018). “A methodology for structural health diagnosis and assessment using machine learning with noisy and incomplete data from self-powered wireless sensors”, In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018 (Vol. 10598, pp. 227-237). SPIE.
https://doi.org/10.1117/12.2295990


Salehi, H., Das, S., Chakrabartty, S., Biswas, S., & Burgueño, R. (2017). “A machine-learning approach for damage detection in aircraft structures using self-powered sensor data”, In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017 (Vol. 10168, pp. 234-246). SPIE.
https://doi.org/10.1117/12.2260118


Salehi, H., Burgueño, R., Das, S., Biswas, S., & Chakrabartty, S. (2017). “Localized damage identification of plate-like structures with time-delayed binary data from a self-powered sensor network”, In Smart Materials, Adaptive Structures and Intelligent Systems (Vol. 58264, p. V002T05A008). American Society of Mechanical Engineers.
https://doi.org/10.1115/SMASIS2017-3941


Salehi, H., Das, S., Chakrabartty, S., Biswas, S., & Burgueño, R. (2015). “Structural assessment and damage identification algorithms using binary data”, In Smart Materials, Adaptive Structures and Intelligent Systems (Vol. 57304, p. V002T05A011). American Society of Mechanical Engineers.
https://doi.org/10.1115/SMASIS2015-9054


Salehi, H., & Taghikhany, T. (2012). “Application of robust-optimum algorithms in semi-active control strategy for seismic protection of equipment”, In 15th World Conference on Earthquake Engineering, (pp. 24-28).

Book Chapter

Salehi, H., Burgueño, R., Das, S., Biswas, S., & Chakrabartty, S. (2016). “Structural health monitoring from discrete binary data through pattern recognition”, Insights and Innovations in Structural Engineering, Mechanics and Computation, 1840-1845.

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