Tensor-Based Modal Decomposition with QR Pivoting for Sparse Sensor Placement and Field Reconstruction

Samatov Denis, Boris Merzlikin, Gleb Shishaev

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Tensor-Based Modal Decomposition (TBMD); sparse sensing; state/field reconstruction; tensor QR pivoting; tensor compressive sensing; reduced-order modeling; reservoir monitoring; digital twin

TL;DR: A domain-agnostic tensor framework that uses QR pivoting for budget-constrained sensor placement and multi-physics field reconstruction.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 165