Yaron Toledo

Prof. Yaron Toledo is a Visiting Professor at Tel Aviv University's Department of Mechanical Engineering, specializing in oceanographic measurements and nonlinear wave dynamics. His research focuses on developing physics-informed neural network (PINN) measurement techniques for wave devices, leveraging the High-Order Boussinesq equation to address spatiotemporal scales and boundary conditions.

• Affiliation: Marine Engineering and Physics Laboratory, Tel Aviv University
• Academic Rank: Visiting Professor (Alexander von Humboldt Scholarship recipient)

Research interests center on integrating cyber-physical systems with mechanical engineering applications, particularly in ocean dynamics and computational fluid mechanics. His work emphasizes the application of advanced machine learning to solve complex boundary value problems in marine environments.

• Scientific Award: Alexander von Humboldt Scholarship