Scheduled presentations:

• Parametric Model Embedding towards Manifold Learning: A Nonlinear Round-Trip for Efficient Shape Optimization
  *A. Serani (CNR-INM), M. Diez (CNR-INM)
• Design-Space Dimensionality Reduction for Multidisciplinary and Topology Optimization of Prismatic Planing Hulls
  *R. Pellegrini (CNR - Institute of Marine Engineering), M. Diez (CNR - Institute of Marine Engineering), E. Kubina (NSWC Carderock Division), F. Stern (The University of Iowa)
• Transfer Learning of Parameterizations for the Structural Optimization of Cruise Ship Hulls
  *L. Fabris (SISSA), M. Tezzele (Emory University), C. Busiello (Fincantieri S.p.A.), M. Sicchiero (Fincantieri S.p.A.), G. Rozza (SISSA)
• Mixed Fidelity Hull form design optimization using ANNs, viscous and potential flow solvers within an evolutionary algorithm
  *C. Bakirtzoglou (NTUA), G. GRIGOROPOULOS (NTUA)
• Deep Reinforced Learning-based Hull Form Optimization
  *I. Lee (Pusan National University), K. Lee (Pusan National University), J. Seo (Pusan National University)
• Interpretable vs. Black-Box Models: System Identification of Planing Hull Dynamics Using SINDy and Neural ODEs
  F. Franciosa (Virginia Tech), *S. Brent (Naval Undersea Warfare Center), G. Huntress (Naval Undersea Warfare Center), C. Hixenbaugh (Naval Undersea Warfare Center), S. Brizzolara (Virginia Tech)