Mustafa Rasim Kılınç

    My research interests are in the broad area of optimization and Operations Research (OR) applications in healthcare. I am specifically interested in developing theory and methods to solve discrete and nonlinear optimization problems. I also apply these methods to the medical decision making problems in healthcare.

    My theoretical work focuses on Convex Mixed Integer Nonlinear Programming (MINLP) problems. They combine the challenges of discrete and nonlinear optimization problems, and hence requires creative integration of ideas from both integer and nonlinear optimization. I implement these new ideas in software so that they may be applied to solve real-life optimization problems including portfolio optimization, layout design in the manufacturing and service sectors, integrated design and control of chemical processes.

    I study the region redesign problem in liver transplantation. For end-stage liver disease (ESLD) patients, transplantation is the only viable treatment. Unfortunately, the supply of deceased donors is far less than the demand of waiting patients. A major concern is the efficient allocation of cadaveric livers. In the US, ESLD patients who need a transplant are placed on the organ waiting list of an Organ Procurement Organization (OPO) with respect to where they live. OPOs are non-profit organizations that are responsible for harvesting organs and coordinating the donation process in their service area. According to the current three-tier hierarchical allocation model, cadaveric livers are first offered locally to the patients registered on the waiting list of the procuring OPO, then regionally, and finally nationally, with exceptions made for sicker patients. Currently, the entire country is divided into 11 regions where each regions consists of one or more OPOs. I study the problem of redesigning the liver allocation regional network. I model the problem as a large-scale two-stage stochastic integer program which optimizes efficiency of liver allocation by taking into account the liver transport times. My model contrary to the literature capture all three levels.