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math.OC2026
Path-OED for infinite-dimensional Bayesian linear inverse problems governed by PDEs
J. Nicholas Neuberger, Alen Alexanderian, Bart van Bloemen Waanders +1
We consider infinite-dimensional Bayesian linear inverse problems governed by time-dependent partial differential equations (PDEs) and develop a mathematical and computational fram…
math.OC2026
A Probabilistic Approach to Trajectory-Based Optimal Experimental Design
Ahmed Attia
We present a novel probabilistic approach for optimal experimental path design. In this approach a discrete path optimization problem is defined on a static navigation mesh, and tr…
math.OC2023
Centralized calibration of power system dynamic models using variational data assimilation
Ahmed Attia, D. Adrian Maldonado, Emil Constantinescu +1
This paper presents a novel centralized, variational data assimilation approach for calibrating transient dynamic models in electrical power systems, focusing on load model paramet…