HR job title
- Assistant Professor
- Contact Info
- 1 979 845 2449
- ORCiD
- 0000-0001-6467-5689
Noshadravan, Arash Assistant Professor
Positions
- Assistant Professor, Texas A&M Engineering Experiment Station (TEES), Texas A&M University
- Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES)
Research Areas
- Overview
- Publications
- Teaching
- Works By Students
- Background
- Contact
- Other
- View All
Overview
Publications
selected publications
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academic article
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Khajwal, A. B., & Noshadravan, A.
(2024).
Enhancing post-hurricane regional loss assessment with crowdsourcing: A probabilistic inference approach. International Journal of Disaster Risk Reduction.
107, 104456-104456.
-
Cheng, C., Khajwal, A. B., Behzadan, A. H., & Noshadravan, A.
(2023).
A Probabilistic CrowdAI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment. Journal of Engineering Mechanics.
149(9),
-
Khajwal, A. B., Cheng, C., & Noshadravan, A.
(2023).
Post-disaster damage classification based on deep multi-view image fusion. Computer-Aided Civil and Infrastructure Engineering.
38(4), 528-544.
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2022).
Uncertainty-aware convolutional neural network for explainable artificial intelligence-assisted disaster damage assessment. Structural Control and Health Monitoring.
29(10),
-
Prakash, R., Nguene, P., Noshadravan, A., & Abedi, S.
(2022).
Chemical reactions of carbonate-rich mudstones with aqueous CO2 and their impacts on rock?s local microstructural and chemo-mechanical properties. Journal of Natural Gas Science and Engineering.
103, 104587-104587.
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2021).
Deep learning for post-hurricane aerial damage assessment of buildings. Computer-Aided Civil and Infrastructure Engineering.
36(6), 695-710.
-
Dubey, V., Abedi, S., & Noshadravan, A.
(2021).
A multiscale modeling of damage accumulation and permeability variation in shale rocks under mechanical loading. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
198, 108123-108123.
-
Khajwal, A. B., & Noshadravan, A.
(2021).
An uncertainty-aware framework for reliable disaster damage assessment via crowdsourcing. International Journal of Disaster Risk Reduction.
55, 102110-102110.
-
Khajwal, A. B., & Noshadravan, A.
(2020).
Probabilistic Hurricane Wind-Induced Loss Model for Risk Assessment on a Regional Scale. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.
6(2), 04020020.
-
Dubey, V., & Noshadravan, A.
(2020).
A probabilistic upscaling of microstructural randomness in modeling mesoscale elastic properties of concrete. Computers and Structures.
237, 106272-106272.
-
Dubey, V., Mashhadian, M., Abedi, S., & Noshadravan, A.
(2019).
Multiscale Poromechanical Modeling of Shales Incorporating Microcracks. Rock Mechanics and Rock Engineering.
52(12), 5099-5121.
-
Mishra, M., Keshavarzzadeh, V., & Noshadravan, A.
(2019).
Reliability-based lifecycle management for corroding pipelines. Structural Safety.
76, 1-14.
-
Mashhadian, M., Abedi, S., & Noshadravan, A.
(2018).
Probabilistic multiscale characterization and modeling of organic-rich shale poroelastic properties. Acta Geotechnica.
13(4), 781-800.
-
Alcaraz, M. L., Noshadravan, A., Zgola, M., Kirchain, R. E., & Olivetti, E. A.
(2018).
Streamlined life cycle assessment: A case study on tablets and integrated circuits. Journal of Cleaner Production.
200, 819-826.
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Noshadravan, A., Miller, T. R., & Gregory, J. G.
(2017).
A Lifecycle Cost Analysis of Residential Buildings Including Natural Hazard Risk. Journal of construction engineering and management.
143(7), 04017017.
-
Noshadravan, A., Gaustad, G., Kirchain, R., & Olivetti, E.
(2017).
Operational Strategies for Increasing Secondary Materials in Metals Production Under Uncertainty. Journal of Sustainable Metallurgy.
3(2), 350-361.
-
Gregory, J. R., Noshadravan, A., Olivetti, E. A., & Kirchain, R. E.
(2016).
A Methodology for Robust Comparative Life Cycle Assessments Incorporating Uncertainty. Environmental Science and Technology.
50(12), 6397-6405.
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Abdolhosseini Qomi, M. J., Noshadravan, A., Sobstyl, J. M., Toole, J., Ferreira, J., Pellenq, R., Ulm, F., & Gonzalez, M. C.
(2016).
Data analytics for simplifying thermal efficiency planning in cities. Journal of the Royal Society Interface.
13(117), 20150971-20150971.
-
Caldeira, C., Queiros, J., Noshadravan, A., & Freire, F.
(2016).
Incorporating uncertainty in the life cycle assessment of biodiesel from waste cooking oil addressing different collection systems. Resources, Conservation and Recycling.
112, 83-92.
-
Noshadravan, A., Cheah, L., Roth, R., Freire, F., Dias, L., & Gregory, J.
(2015).
Stochastic comparative assessment of life-cycle greenhouse gas emissions from conventional and electric vehicles. International Journal of Life Cycle Assessment.
20(6), 854-864.
-
Noshadravan, A., Wildnauer, M., Gregory, J., & Kirchain, R.
(2013).
Comparative pavement life cycle assessment with parameter uncertainty. Transportation Research.
25, 131-138.
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Noshadravan, A., Ghanem, R., Guilleminot, J., Atodaria, I., & Peralta, P.
(2013).
VALIDATION OF A PROBABILISTIC MODEL FOR MESOSCALE ELASTICITY TENSOR OF RANDOM POLYCRYSTALS. International Journal for Uncertainty Quantification.
3(1), 73-100.
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Guilleminot, J., Noshadravan, A., Soize, C., & Ghanem, R. G.
(2011).
A probabilistic model for bounded elasticity tensor random fields with application to polycrystalline microstructures. Computer Methods in Applied Mechanics and Engineering.
200(17-20), 1637-1648.
-
Cheng, C., Behzadan, A., & Noshadravan, A.
A Post-Hurricane Building Debris Estimation Workflow Enabled by Uncertainty-aware AI and Crowdsourcing. International Journal of Disaster Risk Reduction.
112, 104785-104785.
-
Khajwal, A. B., & Noshadravan, A.
(2024).
Enhancing post-hurricane regional loss assessment with crowdsourcing: A probabilistic inference approach. International Journal of Disaster Risk Reduction.
107, 104456-104456.
-
conference paper
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2022).
Exploring the Generalizability of Deep Convolutional Neural Networks for Post-Hurricane Damage Assessment. 577-585.
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2022).
Bayesian Inference for Uncertainty-Aware Post-Disaster Damage Assessment Using Artificial Intelligence. 156-163.
-
KHAJWAL, A. B., CHENG, C., & NOSHADRAVAN, A.
(2022).
MULTI-VIEW DEEP LEARNING FOR RELIABLE POST-DISASTER DAMAGE CLASSIFICATION
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Martogi, D., Vaibhav, A., Noshadravan, A., & Abedi, S.
(2020).
Approximation of Rock Fracture Toughness using Scratch Test and Phase-Field Modeling Approach
-
Mashhadian, M., Abedi, S., & Noshadravan, A.
(2018).
A probabilistic multiscale approach for modeling poromechanical properties of shales
-
Dubey, V., Abedi, S., & Noshadravan, A.
(2018).
Multiscale modelling of microcrack-induced mechanical properties in shales
-
Gregory, J., Noshadravan, A., Swei, O., Xu, X., & Kirchain, R.
(2017).
The importance of incorporating uncertainty into pavement life cycle cost and environmental impact analyses. 121-131.
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Noshadravan, A., & Ghanem, R.
(2013).
A probabilistic mesoscale damage detection in polycrystals using a random matrix approach. Journal of Intelligent Material Systems and Structures.
1007-1017.
-
Noshadravan, A., & Ghanem, R.
(2012).
Identification and validation of a stochastic model for mesoscale material description of metallic polycrystals
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Noshadravan, A., & Ghanem, R.
(2012).
Identfication and validation of a stochastic model for mesoscale material description of metallic polycrystals. Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference.
-
Noshadravan, A., Ghanem, R., & Peralta, P.
(2011).
Characterization of random heterogeneities in polycrystalline microstructures using wave propagation simulation. Proceedings of SPIE.
79830s-79830s-12.
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Garcia, M. P., Luo, C., Noshadravan, A., Keck, A., Teale, R., Chattopadhyay, A., & Peralta, P.
(2008).
Microstructure representation and material characterization for multiscale finite element simulations of local mechanical behavior in damaged metallic structures. Proceedings of SPIE.
69260k-69260k-8.
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Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2022).
Exploring the Generalizability of Deep Convolutional Neural Networks for Post-Hurricane Damage Assessment. 577-585.
-
institutional repository document
-
Khajwal, A. B., Cheng, C., & Noshadravan, A.
(2022).
Multi-view deep learning for reliable post-disaster damage classification
-
Khajwal, A. B., Cheng, C., & Noshadravan, A.
(2022).
Multi-view deep learning for reliable post-disaster damage classification
Teaching
teaching activities
- CVEN305 Mechanics Of Materials Instructor
- CVEN363 Engr Mechanics: Dynamics Instructor
- CVEN491 Hnr-research Instructor
- CVEN633 Adv Mechanics Of Matls Instructor
- CVEN655 Structural Reliability Instructor
- CVEN681 Sem: Construction, Geotechnica Instructor
- CVEN685 Directed Studies Instructor
- CVEN691 Research Instructor
- CVEN750 Finite Elem Theory & App Str Instructor
- CVEN750 Finite Element App Struct Instructor
- MEMA647 Theo Of Fin Elem Anly Instructor
Works By Students
chaired theses and dissertations
-
Mishra, Mihir (2017-05). Reliability-based Life Cycle Management of Corroding Pipelines via Optimization under Uncertainty.
Background
education and training
- Ph.D. in Civil Engineering, University of Southern California - (Los Angeles, California, United States) 2011
- M.S. in Structural engineering, University of Tehran - (Tehran, Iran) 2002
- B.Sc. in Civil Engineering, Sharif University of Technology - (Tehran, Iran) 2000
- Massachusetts Institute of Technology - (Cambridge, Massachusetts, United States) , Postdoctoral Training 2014
Contact
first name
- Arash
has last name
- Noshadravan
mailing address
-
Texas A&M University
Civil Engineering
3136 TAMU, DLEB 702C
College Station, TX 77843-3136
USA
Other
- noshadravan@tamu.edu