Masih Beheshti
Graduate Research Associate, Summer 2025,
ENGR School of Sustainable Engineering and the Built Environment, Research Enterprise - Ozer, Hasan - JM
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Mail code: 3005Campus: Tempe
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Student Information
Graduate StudentCivil, Environmental and Sustainable Engineering
Ira A Fulton Engineering
Long Bio
Masih Beheshti is a graduate student in pavement engineering at the Department of Civil, Environmental and Sustainable Engineering, ASU. He is in his 3rd year of study as a PhD student under supervision of Dr. Hasan Ozer and a graduate research associate at ASU. His main scope of study includes pavement design, numerical modeling, fracture analysis, data analysis, and the application of novel approaches to pavement design and material fracture characterization.
Education
- PhD. Arizona State University [Ongoing]
- M.Sc. Sharif University of Technology (2021)
- B.Sc. Isfahan University of Technology (2018)
Research Website URL
Google Scholar URL
ORCID Profile ID
Research Interests
- Pavement Design
- Numerical Modeling
- Data Analysis
- Fracture Analysis
Research Group
Southwest Pavement Technology Consortium (2022-Current)
Under supervision of Dr. Hasan Ozer
Publications
- Beheshti, M., Castro, S., Vedula, N., Rahman, M.N., Rawahi, M., Ozer, H. (2024). “Rate dependent C* fracture parameter using the optimized wedge-split test geometry and vision-based automated crack tip detection”. In: Construction and Building Materials. DOI: https://doi.org/10.1016/j.conbuildmat.2024.137649
- Beheshti, M., Bento, M.H.C., Ramos, C.S., Ozer, H., Duarte, C.A., Brill, D.R. (2024). “Analysis of Reflective Cracking in Asphalt Overlaid Jointed Concrete Airfield Pavements Using the 3-D Generalized Finite Element Approach”. In: International Journal of Pavement Engineering. DOI: https://doi.org/10.1080/10298436.2024.2346291
- Vedula, N., Beheshti, M., Al-Alawi, O., and Ozer, H. (2024). “Thermal Profiling of Asphalt Pavement Construction Using Unmanned Aerial Vehicle”. In: Transportation Research Record. DOI: https://doi.org/10.1177/03611981241239957
- Liu, F., Beheshti, M., Ozer H., Al-Qadi, I. (2024). “Prediction of asphalt concrete energy release rate from Texas Overlay Test using machine learning”. In: Road Materials and Pavement Design. DOI: https://doi.org/10.1080/14680629.2024.2356796
Research Activity
- Development of joint reflective M-E design model for asphalt concrete overlay on jointed rigid airfield pavement, Founded by Federal Aviation Administration [More]
- Assessment of Thermal and Durability Cracks in Asphalt Pavements in the Southwest Region, Founded by Southwest Pavement Technology Consortium
- Automated Construction Quality Monitoring and Inspection Protocols using Unmanned Aerial Vehicles
- Assessing the Consumption Costs of Motor Vehicles on Arizona Roads [More]
Honors / Awards
- Support Sky Harbor Coalition Scholarship, WTS Foundation, 2023
- Dr. Matthew W. Witczak Endowment, Arizona Pavements/Material Conference, 2022