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Hossein Salahshoor

Assistant Professor of Civil and Environmental Engineering
Civil and Environmental Engineering
100 Science Drive, Box 90287, Hudson Hall 121, Durham, NC 27708
Fciemas Bldg, 101 Science Dr, Room 2461, Durham, NC 27710

Overview


Professor (Amir)Hossein Salahshoor came to Duke from Caltech, where he conducted his postdoctoral studies. Prior to that, and pursuant to his undergraduate studies at the University of Tehran, he obtained his Ph.D in Aerospace Engineering from Georgia Tech, along with an MS in Mathematics. His research interests broadly lie at the intersection of mechanics of materials and structures, computational and data science, biology, and applied mathematics, whereby focusing on developing data-driven and computational frameworks to predict, control, and engineer the behavior of complex material systems, he aims to address mechanistic challenges in sustainability and health.

Current Appointments & Affiliations


Assistant Professor of Civil and Environmental Engineering · 2023 - Present Civil and Environmental Engineering, Pratt School of Engineering
Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science · 2023 - Present Thomas Lord Department of Mechanical Engineering and Materials Science, Pratt School of Engineering
Faculty Network Member of the Duke Institute for Brain Sciences · 2023 - Present Duke Institute for Brain Sciences, University Institutes and Centers

In the News


Published February 25, 2025
Three Engineering Projects to Build Greener Materials

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Recent Publications


Focal Volume, Acoustic Radiation Force, and Strain in Two-Transducer Regimes.

Journal Article IEEE transactions on ultrasonics, ferroelectrics, and frequency control · October 2024 Transcranial ultrasound stimulation (TUS) holds promise for noninvasive neural modulation in treating neurological disorders. Most clinically relevant targets are deep within the brain (near or at its geometric center), surrounded by other sensitive region ... Full text Cite

Application of Data-Driven computing to patient-specific prediction of the viscoelastic response of human brain under transcranial ultrasound stimulation.

Journal Article Biomechanics and modeling in mechanobiology · August 2024 We present a class of model-free Data-Driven solvers that effectively enable the utilization of in situ and in vivo imaging data directly in full-scale calculations of the mechanical response of the human brain to sonic and ultrasonic stimulation, entirely ... Full text Cite
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Education, Training & Certifications


Georgia Institute of Technology · 2018 Ph.D.

External Links


Salahshoor Lab