Bingran Wang

Postdoctoral Scholar, UC San Diego

About

Hi, my name is Bingran Wang, I am currently a Postdoctoral Scholar in the Mechanical and Aerospace Engineering Department at UC San Diego, working with Prof. John Hwang at the LSDO lab. Prior to this, I completed my Ph.D. in Aerospace Engineering at the same lab at UC San Diego in 2024. I earned my Bachelor's degree in Engineering Science with a major in Aerospace Engineering from the University of Toronto in 2019.

Research Interest

Multidisciplinary design optimization
Uncertainty quantification
Robust and reliability-based design optimization
Multi-fidelity and data-driven modeling

Selected Awards

SwRI Student Paper Award in Non-Deterministic Approaches, AIAA SciTech Forum (2023, 2024)
MDO Student Paper Competition First Place, AIAA Aviation Forum (2023)

Featured Research

Accelerating model evaluations in uncertainty propagation on tensor grids using computational graph transformations

We proposed a computational graph transformation method, AMTC, to accelerate the tensor-grid evaluations involved in solving the UQ problems. This method has been used with the non-intrusive polynomial chaos method to efficiently solve a broad range of low-dimensional UQ problems involving multidisciplinary and multi-point systems.

Wang, B., Sperry, M., Gandarillas, V. E., and Hwang, J. T., "Accelerating model evaluations in uncertainty propagation on tensor grids using computational graph transformations", Aerospace Science and Technology, vol. 145, 2024, p. 108843. [Preprint, DOI]

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