Session Hosts
Alex Gorodetsky - University of Michigan, Ann Arbor, Chair
Xun Huan - University of Michigan, Ann Arbor, Co-Chair
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Overview of Challenges in Performing Uncertainty Quantification for Fluids Engineering Problems (AIAA-2022-2357)
- Andrew W Cary - Boeing Research and Technology
- John Schaefer - Boeing Research and Technology
- Earl P Duque - Intelligent Light
- Manas Khurana - Science and Technology Corporation
- Erin C DeCarlo - Southwest Research Institute
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Bayesian Recurrent Neural Networks for Monitoring Rotorcraft Icing from Aeroacoustics Time-Series Data (AIAA-2022-2358)
- Hua Tong - University of Science and Technology of China
- Jeremiah M. A. Hauth - University of Michigan
- Xun Huan - University of Michigan
- Beckett Yx Zhou - University of Bristol
- Nicolas R. Gauger - Technische Universitat Kaiserslautern
- Myles Carlo Morelli - Politecnico di Milano
- Alberto Guardone - Politecnico di Milano
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Exploring Design of Structures under Uncertainty and Deterministic Design using Allowables (AIAA-2022-2359)
- Edwin E Forster - Air Force Research Laboratory
- Daniel L Clark - Air Force Research Laboratory
- Philip S Beran - Air Force Research Laboratory
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Quantification of Uncertainty in Extrapolation of Charring Ablator Material Performance to Flight (AIAA-2022-2360)
- Przemyslaw Rostkowski - University of Illinois at Urbana-Champaign
- Marco Panesi - University of Illinois at Urbana-Champaign