Portrait of Bowei Li

PhD candidate Bowei Li wins 2021 Probabilistic Methods Committee’s Best Student Paper Award

Li’s work in machine learning seeks to model potential structural damage from natural disasters.

PhD candidate Bowei Li has been awarded the 2021 Probabilistic Methods Committee Best Student Paper Award by the Engineering Mechanics Institute (EMI) of the American Society of Civil Engineers (ASCE) for the paper, “A Deep Learning Metamodeling Framework for High-dimensional Nonlinear and Dynamic Structural Systems Subject to Stochastic Excitation.”

Portrait of Bowei Li
Bowei Li

Bowei’s research uses machine learning and reduced order modeling to predict the response of nonlinear structural systems driven by stochastic excitation representing extreme winds and earthquakes. The overarching goal of the work is to use machine learning to enable rapid performance assessment of large scale real world structures subject to natural disasters.

The award is given out by the Probabilistic Methods Committee in the Engineering Mechanics Institute during the ASCE’s annual EMI conference, this year concurrent with the Probabilistic Mechanics and Reliability Conference (PMC), which is held every four years.

The EMI/PMC conference was originally scheduled for May 26-29, 2020, in New York, New York, but was rescheduled due to COVID-19 and was held virtually from May 25-28, 2021. The student paper competition was conducted virtually on May 25.

Li is advised by Associate Professor Seymour Spence.


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Mason Hinawi

Marketing Communications Specialist
Department of Civil and Environmental Engineering