■ M. Baykal-Gürsoy's Ph.D. student Abdolmajid Yolmeh is the Winner of 2017 Informs NJ Chapter Student Contest

■ M. Baykal-Gürsoy gave a talk on Robust Search/Protection Games at the Lorentz Centre Workshop on Search Games: Theory and Algorithms, Leiden, Netherlands, June 27 - July 1, 2016.

■ M. Baykal-Gürsoy gave a tutorial on Game Theory and Its Applications to Security at the ISERC-IIE Annual Conference and Expo 2016, Anaheim, CA, May 21-24, 2016.

■ M. Baykal-Gürsoy gave an invited talk on Incomplete Information Protection Games at the Games and Decisions in Reliability and Risk Workshop-SAMSI, Durham, NC, May 16-20, 2016.

Book- "An Introduction to Probability and Statistics" - KendallHunt, 2015

■ M. Baykal-Gürsoy's Ph.D. student Javier Rubio-Herrero is the Winner of 2015 Informs NJ Chapter Student Contest

■ Rutgers Women Take Flight

■ M. Baykal-Gürsoy gave a series of invited talks on Traffic Flow Modeling and Control at Beihang University, Beijing, China, August 18-26, 2013.


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, such as transportation, communication and supply chain networks, production/inventory and security systems. 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 adversarial relationship between network attackers and protectors. She is developing stochastic optimization algorithms for adjustment of inventories and product price in supply chains; resource allocation in emergency management; dynamic traffic flow management under incidents, and for stochastic games applied to the infrastructure and network security problems. Dr. Baykal-Gürsoy is currently focusing on devising tools to help government agencies train their staff to overcome uncertain and incomplete information in order to secure densely populated public spaces.

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 students, J. Rubio-Herrero and A. Yolmeh, were the winner of INFORMS NJ Chapter Student Contests in 2015 and in 2017, respectively. 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 for Stochastic Systems


SYCON (Rutgers Center for Systems and Control)
RUTCOR (Rutgers Center for Operations Research)
CAIT (Center for Advanced Infrastucture and Transportation)