66 citations · 132 across the 15 of their papers we have counts for
4 papers · 1 filter
A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs
Bilal Mufti, Christian Perron, Dimitri N. Mavris
In the early stages of aerospace design, reduced order models (ROMs) are crucial for minimizing computational costs associated with using physics-rich field information in many-que…
Improved Aircraft Environmental Impact Segmentation via Metric Learning
Zhenyu Gao, Dimitri N. Mavris
Accurate modeling of aircraft environmental impact is pivotal to the design of operational procedures and policies to mitigate negative aviation environmental impact. Aircraft envi…
Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators
Styliani I. Kampezidou, Justin Romberg, Kyriakos G. Vamvoudakis +1
In this work, a novel Stackelberg game theoretic framework is proposed for trading energy bidirectionally between the demand-response (DR) aggregator and the prosumers. This formul…
Manifold Alignment-Based Multi-Fidelity Reduced-Order Modeling Applied to Structural Analysis
Christian Perron, Darshan Sarojini, Dushhyanth Rajaram +2
This work presents the application of a recently developed parametric, non-intrusive, and multi-fidelity reduced-order modeling method on high-dimensional displacement and stress f…