Skip to content
Merrick School of Business

Maria Bardossy

Maria Gisela Bardossy, Ph.D.

Assistant Professor of Decision Science

Department of Information Systems and Decision Science
Office: Business Center 481
Phone: 410.837.6669
E-mail: mbardossy@ubalt.edu

    Education:
  • Ph.D., University of Maryland, Robert H. Smith School of Business
  • M.S., Clemson University, Department of Mathematical Sciences
  • B.S., Universidad Catolica de Cordoba, Facultad de Ingenieria
  • Licentiate, Universidad Nacional de Cordoba, Facultad de Administracion

Professor Bardossy joined the Merrick School of Business in 2011 after earning her Ph.D. from the University of Maryland, College Park.

Intellectual Contributions

Book Chapters

Arsham, H., Bardossy, G., & Sharma, D. K. (2014). Essentials of Linear Programming for Managers: From System of Inequalities to Software Implementation. IGI Global publisher. Chapter 7( First Edition), 96-127.

Refereed Journal Articles

Bardossy, G., & Raghavan, S. (2010). Dual-Based Local Search for the Connected Facility Location and Related Problems. 22(4), 584-602.

Presentations

Bardossy, G. Yes "The Mathematics of YouTube: Where Exactly on the Internet is the Gangnam Style Video?," Mathematical Association of America, Townson University. (2013).

Bardossy, G. Yes "Stochastic Dynamic Allocation of Deceased-Donor Kidneys Based on Historical Data Logs," Austin, TX. (2010).

Bardossy, G. Yes "The Connected Facility Location Problem under Customer Uncertainty," Austin, TX. (2010).

Bardossy, G. Yes "The Stochastic Connected Facility Location Problem," Montreal, Canada. (2010).

Bardossy, G. Yes "Dual-Based Local Search for the Connected Facility Location and Related Problems," Chicago, IL. (2009).

Bardossy, G. Yes "Stochastic Dynamic Allocation of Deceased-Donor Kidneys Based on Historical Data Logs," University of Maryland, MD. (2009).

Bardossy, G. Yes "Dual-Based Local Search Heuristics for the Connected Facility Location Problem," Pisa, Italy. (2009).

Bardossy, G. Yes "Dual-Based Local Search Heuristics for the Connected Facility Location Problem," The Institute for systems research, University of Maryland, MD. (2009).

Bardossy, G. Yes "Dual-Based Local Search Heuristics for the Connected Facility Location Problem," Charleston, South Carolina. (2009).

Contracts, Grants and Sponsored Research

Bardossy, Gisela (Principal), "Educational webcasts for Business Statistics and Decision Science" Sponsored by The University of Baltimore, $4755. (2012).

Research in Progress

"Stochastic Dynamic Allocation of Deceased - Donor Kidneys Based on Historical Data Logs"" (Writing Results)

"The Connected Facility Location Problem under Customer Uncertainty" (Writing Results)