Goodbye Summer, hello Fall 2019! Definitely looking forward to welcoming all the students back to ISE and DSA this Fall! I’m not going to lie and say the peace and quiet was not good for a while, but I am ready for you all to come back home to OU! For the newer DSA students,… Read More »
Statistical Controls on Induced Seismicity Conference paper by Yunjie Wen, Saurabh Sinha, Rafael Pires De Lima, and Kurt Marfurt Seismicity in Oklahoma has shown a sharp increase since 2010 and is mostly attributed to wells used to dispose wastewater from hydraulically fractured production wells (McClure, Gibson, Chiu, & Ranganath, 2017). Many studies are conducted so far… Read More »
Probabilistic Prediction of Post-disaster Functionality Loss of Community Building Portfolios Considering Utility Disruptions I am proud to announce that the latest collaborative work from the CORE lab has been accepted for publication in the ASCE’s Journal of Structural Engineering. The new paper title is a mouthful, “Probabilistic Prediction of Post-disaster Functionality Loss of Community Building… Read More »
Two new resilience publications! Well, here at the Analytics Lab @ OU 2017 started off nicely with two new articles published in the area of community resilience. We are also very excited about finally being able to share the virtual community we created named “Centerville” as a part of the Center for Risk-Based Community Resilience… Read More »
The Analytics Lab has two new publications recently accepted in Sustainable and Resilient Infrastructure. Barker, K., J. Lambert, C. Zobel, A. Tapia, J. Ramirez-Marquez, L. McLay, C. Caragea, C. Nicholson. 2016. Defining Resilience Analytics. Accepted for publication in Sustainable and Resilient Infrastructure on September 1, 2016. Zhang, W. and C. Nicholson. 2016. A multi-objective optimization model for retrofit strategies… Read More »
Summer publications! We are happy to see two new papers accepted for publication in Computers and Industrial Engineering this Summer! These publications form a logical pair, with one introducing a new perspective that uses statistical learning to help study the Fixed-Charge Network Flow (FCNF) problem and the other develops a solution technique that hybridizes the new… Read More »
A new resilience paper “Flow-Based Vulnerability Measures for Network Component Importance: Experimentation with Preparedness Planning” authored by Charles Nicholson, Kash Barker, and Jose Ramirez-Marquez and has been accepted for publication in Reliability Engineering & System Safety. This work develops and compares several flow-based vulnerability me asures to prioritize important network edges for the implementation… Read More »