About
I am a Postdoctoral Scholar working with Dr. Boris Krämer in the Department of Mechanical and Aerospace Engineering at UC San Diego. My research interests include uncertainty quantification and stochastic design optimization for complex mechanical systems. In my postdoctoral research, I am working on developing multifidelity methods for accurate and computationally efficient risk assessment and risk-averse design optimization for multidisciplinary engineering systems.
In 2021, I obtained a PhD in Mechanical Engineering from the University of Iowa, where I was supervised by Dr. Sharif Rahman. For my thesis, I developed robust algorithms for stochastic optimization under uncertainty with dependent random variables. From 2013 to 2017, I worked as a research engineer at Hyundai Motor Company in South Korea. I received an MS in Multiscale Mechanical Design from Seoul National University in 2013 and a BS in Mechanical Engineering from Yonsei University in 2011.
In 2021, I obtained a PhD in Mechanical Engineering from the University of Iowa, where I was supervised by Dr. Sharif Rahman. For my thesis, I developed robust algorithms for stochastic optimization under uncertainty with dependent random variables. From 2013 to 2017, I worked as a research engineer at Hyundai Motor Company in South Korea. I received an MS in Multiscale Mechanical Design from Seoul National University in 2013 and a BS in Mechanical Engineering from Yonsei University in 2011.
News
July 23-27, 2023
I will present my work at the 17th U. S. National Congress on Computational Mechanics in Albuquerque, NM.
April 22, 2023
I attended the Southern California Applied Mathematics Symposium and presented my research on "Multifidelity method for coherent risk assessment in nonlinear systems with high-dimensional random variables."
April 6–April 7, 2023
I attended the USACM workshop on establishing benchmarks for data-driven modeling of physical systems and presented my research on "Multifidelity risk assessments for nonlinear systems under high-dimensional dependent random variables."
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