Scheduled presentations:

• Keynote MultiLevel Variational MultiScale (ML-VMS) framework for large-scale simulation
  *L. Zhang (Institute of Mechanics, CAS), J. Guo (Northwestern University), S. Tang (Peking University), T. Hughes (The University of Texas at Austin), W. Liu (Northwestern University)
• Numerical Separation of Variables for Partial Differential Equaions: Theory and Applications
  J. Jo (NIMS), *D. Kim (Inha University)
• Hybrid Green’s Function Learning With Axial Reduction for Multi-Dimensional Elliptic Problems
  *J. Jo (National Institute for Mathematical Sciences), T. Ha (National Institute for Mathematical Sciences), C. Lee (KAIST)
• Reduced Order Models based on Tensor Rank Decomposition: mathematical foundations and practical examples
  *V. Zambrano (Instituto Tecnológico de Aragón (ITA)), S. Izquierdo (University of Zaragoza - I3A), R. Rodríguez (Instituto Tecnológico de Aragón (ITA)), I. Viejo (Instituto Tecnológico de Aragón (ITA))
• Tensor Decomposition–Based Reduced-Order Modeling for Single-Scale and Multiscale topology optimization
  *J. Hu (Peking University), S. Tang (Peking University), W. Zhang (Dalian university of technology)