■ M. Baykal-Gursoy organized and will chair two sessions at the INFORMS Annual Meeting, Austin, Texas, Nov. 7-10, 2010.
Planning for Extreme Weather Events I and IIhttp://meetings2.informs.org/austin2010

■ DIMACS Workshop on Risk-Averse Algorithmic Decision Making

May 16 - 20, 2011
DIMACS Center, CoRE Building, Rutgers University
Organizers:
Melike Baykal-Gursoy, Rutgers University, gursoy at rci.rutgers.edu
David Brown, Duke University, dbbrown at duke.edu
Aleksandar Pekec, Duke University, pekec at duke.edu
Andrzej Ruszczynski, Rutgers University, rusz at business.rutgers.edu
Dharmashankar Subramanian, IBM Watson Labs dharmash at us.ibm.com

■ Dr. Baykal-Gursoy presented a paper at the 2010 YAEM (Operations Research and Industrial Engineering) Conference, June 28- July 2.

■ Dr. Baykal-Gursoy presented a paper at the Third Madrid Conference on Queueing Theory, June 28-30, 2010

■ Dr. Baykal-Gursoy presented a paper at The 14-th International Symposium on Dynamic Games and Applications, June 19th to 24th, 2010

■ DIMACS/CCICADA Workshop: Modeling and Mitigation of the Impacts of Extreme Weather Events to Human Health Risks

■ Dr. Baykal-Gursoy and her Ph. D. student Sara Ghorbani presented their poster at the 2010 Health and Humanitarian Logistics Workshop at Georgia Tech.
>> The Poster

Dr. Melike Baykal-Gürsoy is an Associate Professor in the Department of Industrial and Systems Engineering. She received her BS and MS in Electrical Engineering from Bogazici University and her Ph.D. in Systems Engineering from the University of Pennsylvania. She teaches courses in optimization, stochastic processes, queueing theory, inventory control, process modeling and control, and time series analysis.

Dr. Baykal-Gürsoy's research interests are in the areas of stochastic processes, Markov decision processes (MDPs), stochastic games, queuing and their applications to modeling, optimization and control of stochastic systems, for example transportation, telecommunication and supply chains.As the director of the Laboratory for Stochastic Systems, she is creating models that realistically represent complex phenomena such as traffic flow interrupted by incidents; or retailer’s behavior when selling substitutable products. She is developing stochastic optimization algorithms for adjustment of inventories in supply chains; resource allocation in emergency management; dynamic traffic flow management under incidents, and for stochastic games applied to the infrastructure security problems. Dr. Baykal-Gürsoy is currently focusing on the analysis and mitigation of congestion; on infrastructure security; and on minimizing the effect of extreme weather events on human health.

Dr. Baykal-Gürsoy’s research has been supported through grants from NSF, United Nations, DOD, Rutgers Transportation Coordinating Council/Federal Transit Administration, Rutgers University Center for Disaster Preparedness and Emergency Response, and Rutgers Academic Excellence Fund. Her former student, W. Xiao, was a finalist in the 2004 Transportation Science and Logistics Section Dissertation Prize Competition.She is a member of INFORMS.

2008-2009 Rutgers Engineering Governing Council Excellence in Teaching Award in I&SE

My Story:

Dr. Baykal-Gürsoy’s Story

Laboratory:

Laboratory for Stochastic Systems

Memberships/Affiliations:

SYCON (Rutgers Center for Systems and Control)
RUTCOR (Rutgers Center for Operations Research)
CAIT: Rutgers Intelligent Transportation Systems (RITS)
CHRI: Rutgers Climate and Health Research Initiative