Yong Hoon Lee

Ph.D. Mechanical Engineering, University of Illinois at Urbana-Champaign (2020)
M.S. Mechanical Engineering, Ajou University, Suwon, South Korea (2010)
B.S. Mechanical Engineering, Ajou University, Suwon, South Korea (2008)

Research interests: Wind and ocean energy systems · Control co-design · Multidisciplinary design optimization · Viscoelastic materials · Surrogate-based optimization · Multiobjective optimization · Computational fluid dynamics

Dr. Yong Hoon Lee received his B.S. (2008, Mechanical Engineering) and M.S. (2010, Mechanical Engineering) from Ajou University, Suwon, South Korea. He received Ph.D. (2020, Mechanical Engineering) from University of Illinois at Urbana-Champaign, under Dr. Randy Ewoldt (ME) and Dr. James Allison (ISE, AE). Before he joined the ESDL, he worked as a CAE and CFD research engineer in Korea Nuclear Engineering and Services Corp. and worked as a lecturer at Masan University. He is currently working as a postdoctoral research associate in ESDL at the University of Illinois at Urbana-Champaign. He is a technical lead in two Department of Energy Advanced Research Projects Agency-Energy (DOE ARPA-E) funded projects, developing a control and plant co-design framework for integrating systems and their design disciplines of large-scale floating offshore wind turbine systems.

Dr. Yong Hoon Lee’s research is engineering design optimization of complex systems. The primary research is investigating engineering design knowledge to support the systematic exploration of new and unconventional designs. His research contributions promote design researchers and engineers to further enhance their design processes by capitalizing on advanced design optimization methodologies that account for complex interactions between disciplinary domains. Understanding interfaces between disciplinary areas opens opportunities for design improvement via a deep understanding of interacting mechanisms across the fields, and the discovery of novel designs and concepts, leading toward unprecedented design innovations. He develops mathematical and computational design methodologies and tools for solving engineering design problems with sophisticated domain interfaces, utilizing his expertise in physics-based computational modeling and simulation-based design optimization. His research goals often involve discovering nonobvious synergy in system performance and benefits by analyzing interdisciplinary design couplings from the system-level viewpoint.

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