Andreas Mentzelopoulos

Andreas Mentzelopoulos is a PhD candidate whose research centers on novel applications of machine-learning (ML) techniques to experimental fluid mechanics. Specifically, Andreas studies vortex-induced vibrations (VIV), a canonical engineering problem of great interest to theoreticians because of the complexity of underlying mechanisms and to engineers because of the catastrophic failures that VIVs can cause to marine structures. With the support of a MathWorks Fellowship, Andreas will pursue novel computational approaches to understanding VIV, with the goal of developing ML methods, driven by powerful, efficient algorithms, to blend experimental simulation and field data to represent the forces and responses. Andreas utilizes a combination of externally gathered data and data collected in-house at the MIT towing tank and is building an extensive repository and database for VIV data (30 TB and growing), which is already attracting interest and contributions from a global community of theoreticians and engineers working on flow-structure interaction problems.