Laura Albert

Senior Analyst

Dr. Laura Albert’s expertise is in the field of operations research, with a particular focus on discrete optimization and algorithm design.  Her research applies discrete optimization and applied probability models to applications in public processes, homeland security, emergency management, and equity modeling.  She has authored or co-authored 35 publications in archival journals and refereed proceedings.  Dr. Albert is an associate professor at Virginia Commonwealth University in the Department of Statistical Sciences and Operations Research.   

Dr. Albert is the recipient of the prestigious NSF CAREER and Army Young Investigator Awards. She has also received a best paper award from the Society of Risk Analysis, an Outstanding IIE Publication Award, a best paper award for co-authored proceedings papers to the IIE Annual Conference and Expo.  She has been named a fellow in the NSF-sponsored program Enabling the Next Generation of Hazards and Disaster Researchers.


Education

Ph.D., University of Illinois at Urbana-Champaign, Industrial Engineering, 2006
M.S., University of Illinois at Urbana-Champaign, General Engineering, 2001
B.S., University of Illinois at Urbana-Champaign, General Engineering, 2000


Selected Publications and Presentations

McLay, L.A., Mayorga, M.E., 2012.  “A model for optimally dispatching ambulances to emergency calls with classification errors in patient priorities.” To appear in IIE Transactions.

McLay, L.A., Mayorga, M.E., 2012.  “A dispatching model for server-to-customer systems that balances efficiency and equity.” To appear in Manufacturing & Service Operations Management.

McLay, L.A., Moore, H. 2012. “Hanover County Improves Its Response to Emergency Medical 911 Calls.”Interfaces 42(4), 380-394.

Rothschild, C., McLay, L.A., Guikema, S., 2012. “Adversarial risk analysis with incomplete information: A level-k approach.” Risk Analysis 32(7), 1219 – 1231.

McLay, L.A., Rothschild, C., Guikema, S., 2012. “Robust adversarial risk analysis: A level-k approach.”Decision Analysis 9(1), 41 –54.

Merrick, J.R.W., McLay, L.A., 2010.  “Is Screening Cargo Containers for Smuggled Nuclear Threats Worthwhile” Decision Analysis 7(2), 155 – 171.

McLay, L.A., J. D. Lloyd, and E. Niman, 2010.  “Interdicting Nuclear Material on Cargo Containers using Knapsack Problem Models,”  Annals of Operations Research 33(9), 747 – 759.

McLay, L.A., S.H. Jacobson, A.J. Lee, 2010.  “Risk-Based Policies for Aviation Security Checkpoint Screening,”  Transportation Science 44(3), 333-349.

McLay, L.A., 2009.  "A Maximum Expected Covering Location Model with Two Types of Servers," IIE Transactions 41(8), 730 – 741

McLay, L. A., S. H. Jacobson, and A. G. Nikolaev, 2008.  “A Sequential Stochastic Passenger Screening Problem for Aviation Security,” IIE Transactions 41(6), 575 – 591.

McLay, L. A., S. H. Jacobson and J.E. Kobza, 2008.  “The Tradeoff between Technology and Prescreening Intelligence in Checked Baggage Screening for Aviation Security,” Journal of Transportation Security (to appear).

Nikolaev, A. G., S. H. Jacobson, and L. A. McLay, 2007.  “A Sequential Stochastic Security System Design Problem for Aviation Security,” Transportation Science 41(2), 182 – 194.

McLay, L. A., S. H. Jacobson, and J. E. Kobza, 2007.  “Integer Programming Models and Analysis for a Multilevel Passenger Screening Problem,” IIE Transactions 39(1), 73 – 81.

McLay, L. A., S. H. Jacobson, and J. E. Kobza, 2006.  “A Multilevel Passenger Prescreening Problem for Aviation Security,” Naval Research Logistics 53 (3), 183 – 197.


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