Tarun Gangwar

Tarun Gangwar
Assistant Professor, Civil Engineering
- BTech: Indian Institute of Technology Roorkee, 2015
- MS: University of Minnesota Twin Cities, 2018
- PhD: University of Minnesota Twin Cities, 2021
Email: tarun.gangwar -AT- iitgn.ac.in
Website : https://sites.google.com/umn.edu/tarungangwar
Office:
AB9/312
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Selected Publications
1. T. Gangwar, A.Q. Susko, S. Baranova, M. Guala, K.P. Smith, D.J. Heuschele. Multiscale modeling predicts plant stem bending behavior in response to wind to inform lodging resistance. Royal Society Open Science, 10 (1), 221410, 2023. DOI: https://doi.org/10.1098/rsos.221410
2. T. Gangwar, D. Schillinger.Concurrent material and structure optimization of multiphase hierarchical systems within a continuum micromechanics framework. Structural and Multidisciplinary Optimization, 64:1175-1197, 2021. DOI: https://doi.org/10.1007/s00158-021-02907-1
3. T. Gangwar, D.J. Heuschele, K.P. Smith, A. Fok, G. Annor, D. Schillinger. Multiscale characterization and micromechanical modeling of crop stem materials. Biomechanics and Modeling in Mechanobiology, 20:69-91, 2021. DOI: https://doi.org/10.1007/s10237-020-01369-6
4. T. Gangwar, D. Schillinger. Microimaging-informed continuum micromechanics accurately predicts macroscopic stiffness and strength properties of hierarchical plant culm materials. Mechanics of Materials, 130:39-57, 2019. DOI: https://doi.org/10.1016/j.mechmat.2019.01.009
5. T. Gangwar, J. Calder, T. Takahashi, J.E. Bechtold, D. Schillinger. Robust variational segmentation of 3D bone CT data with thin cartilage interfaces. Medical Image Analysis, 47:95-110, 2018. DOI: https://doi.org/10.1016/j.media.2018.04.003
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Work Experience
- Assistant Professor, Indian Institute of Technology Gandhinagar (Feb 2023 to present)
- Postdoctoral Researcher, Technical University Darmstadt (Jan 2022 - Jan 2023)
- Postdoctoral Researcher, Leibniz University Hannover (Sep 2021 - Dec 2021)
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Patents
D. Schillinger, T. Gangwar, T. Takahashi, J. Calder. "Two-stage variational image segmentation of medical images using fracture mechanics." United States Patent US 11,257,214 B2, February 22, 2022.