Shubhangi Bansude
Joining Soon
Shubhangi Bansude
Assistant Professor, Mechanical Engineering
- BTech: Indian Institute of Technology Gandhinagar, 2014
- PhD: University of Connecticut, Storrs, CT, USA, 2023
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Selected Publications
- Bansude, S. and Sheikhi, R. “Investigations of Deep Learning-1. based Filtered Density Function Models for Scalar Mixing in Turbulent Flows” Physics of Fluids 36, 015156 (2024) doi: https://doi.org/10.1063/5.0177454 (Impact Factor 4.6)
- Bansude, S., Imani, F., and Sheikhi, R. “A Data-Driven Framework for Computationally Efficient Integration of Chemical Kinetics Using Neural Ordinary Differential Equations” ASME Open Journal of Engineering ASME. January 2023 2 021022 doi: https://doi.org/10.1115/1.4062105 (paper citations until July 2024: 4)
- Bansude, S., Imani, F., and Sheikhi, R. “Performance Assessment of Chemical Kinetics Neural Ordinary Differential Equations in Pairwise Mixing Stirred Reactor” ASME Open Journal of Engineering ASME. January 2023 2 021008 doi: https://doi.org/10.1115/1.4056476 (paper citations until July 2024: 4)
- Doan, N. A. K., Bansude, S., Osawa, K., Minamoto, Y., Lu, T., Chen, J. H., & Swaminathan, N. “Identification of combustion mode under MILD conditions using Chemical Explosive Mode Analysis” Proceedings of the Combustion Institute 38, no. 4 (2021): 5415-5422 doi: https://doi.org/10.1016/j.proci.2020.06.293 (Impact Factor
5.3)
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Work Experience
- Postdoctoral Appointee, Argonne National Laboratory, USA (Jan 2024 - Present)
- Application Engineer, Siemens PLM Software / CD-adapco, India (2014 - 2017)