485 citations · 878 across the 26 of their papers we have counts for
10 papers · 1 filter
Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design
Piyush Pandita, Nimish Awalgaonkar, Ilias Bilionis +1
Estimating arbitrary quantities of interest (QoIs) that are non-linear operators of complex, expensive-to-evaluate, black-box functions is a challenging problem due to missing doma…
A Resilience-based Method for Prioritizing Post-event Building Inspections
Ali Lenjani, Ilias Bilionis, Shirley Dyke +2
Despite the wide range of possible scenarios in the aftermath of a disruptive event, each community can make choices to improve its resilience, or its ability to bounce back. A res…
Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion
Ali Lenjani, Shirley J. Dyke, Ilias Bilionis +5
In post-event reconnaissance missions, engineers and researchers collect perishable information about damaged buildings in the affected geographical region to learn from the conseq…
Automated building image extraction from 360° panoramas for postdisaster evaluation
Ali Lenjani, Chul Min Yeum, Shirley Dyke +1
After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain new knowledge and extract lessons from the event. However, in many c…
Learning Personalized Thermal Preferences via Bayesian Active Learning with Unimodality Constraints
Nimish Awalgaonkar, Ilias Bilionis, Xiaoqi Liu +2
Thermal preferences vary from person to person and may change over time. The main objective of this paper is to sequentially pose intelligent queries to occupants in order to optim…
A Principal-Agent Model of Systems Engineering Processes with Application to Satellite Design
Salar Safarkhani, Vikranth Reddy Kattakuri, Ilias Bilionis +1
We present a principal-agent model of a one-shot, shallow, systems engineering process. The process is one-shot in the sense that decisions are made during one time step and that t…
Towards a Theory of Systems Engineering Processes: A Principal-Agent Model of a One-Shot, Shallow Process
Salar Safarkhani, Ilias Bilionis, Jitesh Panchal
Systems engineering processes coordinate the effort of different individuals to generate a product satisfying certain requirements. As the involved engineers are self-interested ag…
Deep active subspaces - a scalable method for high-dimensional uncertainty propagation
Rohit Tripathy, Ilias Bilionis
A problem of considerable importance within the field of uncertainty quantification (UQ) is the development of efficient methods for the construction of accurate surrogate models.…
Automated Detection of Pre-Disaster Building Images from Google Street View
Chul Min Yeum, Ali Lenjani, Shirley J. Dyke +1
After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain lessons and gain knowledge from the event. Images of damaged buildin…
Simulator-free Solution of High-Dimensional Stochastic Elliptic Partial Differential Equations using Deep Neural Networks
Sharmila Karumuri, Rohit Tripathy, Ilias Bilionis +1
Stochastic partial differential equations (SPDEs) are ubiquitous in engineering and computational sciences. The stochasticity arises as a consequence of uncertainty in input parame…