Scheduled presentations:

• A heterogeneous computing approach to coupled simulation and machine-learning deployment for high-speed flows
  *C. Laurent (Stanford University), K. Maeda (Stanford University), T. Teixeira (Stanford University), G. Iaccarino (Stanford University)
• A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems
  H. Nguyen (The University of Texas at Austin, Texas, USA. ), H. Li (The University of Texas at Austin, Texas, USA. ), *T. Bui Thanh (The University of Texas at Austin, Texas, USA. )
• Student A proposed hybrid two-stage DL-HPC method for wind speed forecasting: using the first average forecast output for long-term forecasting
  *R. Hassanian (The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science University of Iceland), Á. Helgadóttir (The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science University of Iceland), M. Aach (Juelich Supercomputing Centre), A. Linteramnn (Juelich Supercomputing Centre), M. Riedel (The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science University of Iceland)
• Prediction of CFD analysis results using deep learning
  *M. Masuda (Toyo University), Y. Nakabayashi (Toyo University), Y. Tamura (Toyo University)
• Student Prediction of Flow Characteristics of the Three-Dimensional Wavy Wing using CNN and Encoder-Decoder Models
  *M. Kim (Department of Naval Architecture and Ocean Engineering, Pusan National University), H. Yoon (Department of Naval Architecture and Ocean Engineering, Pusan National University)