ISTC Technical Seminar Series: Don't forget to join us today at 3pm EDT for Dr. Woong-Je Sung's seminar on Zoom!
Speaker: Woong-Je Sung, Ph.D.
Research Engineer, School of Aerospace Engineering
Georgia Institute of Technology
Date/time: Wednesday, May 24th, 2023 -- 3:00pm-4:00pm Eastern time
Title: Deep Learning Strategy for Aerodynamics
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Meeting ID: 248 132 0441
Passcode: 013418
Abstract: The recent progress in deep learning and generative AI provides active challenges as well as remarkable opportunities in aerodynamics research where the highly non-linear flow phenomena (e.g., shock waves and flow separations) are not uncommon and the available data are not always abundant considering the high dimensionality of flow boundary conditions. In this talk, first, the applications of deep learning techniques are briefly reviewed in the context of surrogate modeling and dimensionality reduction and, second, several research snapshots are discussed including a CFD (Computational Fluid Dynamics)-WTT (Wind Tunnel Test) data fusion using deep representation learning, a geometric deep learning for 3-D mesh, and an aerodynamic shape optimization using deep reinforcement learning.
Bio: Dr. Woong-Je Sung Studied CFD, FEM, and MDO in Seoul National Univ (BS/MS in Aerospace Engineering). He worked on experimental and computational aerodynamics in Agency for Defense Development (1999-2004, Korea). He studied meta-modeling with neural network in Georgia Tech (PhD in Aerospace Engineering, 2012). Dr. Sung has worked on various projects on M&S and ML/AI as Post-Doc and Research Engineer in Georgia Tech (2012-Present).