Dr. Chung Hyun Lee studies multidisciplinary design analysis and optimization (MDAO), uncertainty quantification (UQ), and aerodynamics. His research particular focuses on Bayesian statistical methods.

  • PhD, Aerospace Engineering, 2011, Georgia Institute of Technology
  • MS, Aerospace Engineering, 2007, Georgia Institute of Technology
  • SM (master’s), Political Science, 2003, Massachusetts Institute of Technology
  • BA, Government, 2000, Harvard University

Multidisciplinary Evaluation of an Over-Wing Nacelle Aircraft (Sponsor: FAA)

  • Role: Co-Investigator
  • Project overview: Led an investigation of over-wing nacelle (OWN) placement for a 150-pax aircraft based on the NASA common research model. The work compared an OWN with an under-wing nacelle (UWN) using CFD coupled with the NPSS engine cycle model. The optimization process showcased methods including Bayesian adaptive sampling and gradient-free active subspace methods for dimension reduction; it also placed heavy emphasis on estimating and tracking errors in MDAO.

Uncertainty Quantification for an Enhanced Multimission Radioisotope Thermoelectric Generator (Sponsor: NASA Jet Propulsion Laboratory)

  • Role: Co-Investigator
  • Project overview: Bayesian uncertainty quantification, reliability analysis, and life prediction performed for a radioisotope thermoelectric generator (RTG) for spacecraft.

MBSE for Overall Aircraft Design (Sponsor: Airbus)

  • Role: Technical contributor
  • Project overview: Investigated uncertainty quantification methods, surrogate modeling, and MDAO aspects within an overall project that addressed the link between model-based systems engineering (MBSE) and MDAO.