Dongjin Lee, PhD


Research areas: uncertainty quantification and stochastic design optimization



+1-319-471-5240


Mechanical and Aerospace Engineering


University of California San Diego



Dongjin Lee, PhD


Research areas: uncertainty quantification and stochastic design optimization


Contact

Dongjin Lee, PhD


Research areas: uncertainty quantification and stochastic design optimization



+1-319-471-5240


Mechanical and Aerospace Engineering


University of California San Diego




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.  



News


Aug 18, 2022


News


I attended the USACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP) and presented my poster on "A Bi-Fidelity Method for Coherent Risk Assessment of Non-Linear Systems Under Dependent and Hi...


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Publications


Bi-fidelity conditional-value-at-risk estimation by dimensionally decomposed generalized polynomial chaos expansion


Dongjin Lee, Boris Kramer


Structural and Multidisciplinary Optimization (Accepted) , 2023


Robust Design Optimization by Spline Dimensional Decomposition


Dongjin Lee, Ramin Jahanbin, Sharif Rahman


Probabilistic Engineering Mechanics, vol. 68, 2022



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