PhD Position in Health Systems Optimization
Explore advanced optimization and analytics to solve real-world healthcare challenges. Join a supportive lab under Dr. Maryam Eghbalizarch at Kennesaw State University focused on improving health systems and patient outcomes.
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Project Description
Project Overview
The Health Systems Optimization Lab at Kennesaw State University specializes in advancing healthcare delivery through mathematical modeling, simulation, and data-driven optimization. The PhD research will target challenges in healthcare systems such as resource allocation, patient flow, and operational efficiency using interdisciplinary analytic and computational techniques.
What You Will Do
The candidate will work under the supervision of Dr. Maryam Eghbalizarch within the HSOpt Lab. Research activities include applying optimization methods, Markov modeling, simulation, and machine learning to real-world healthcare problems. Collaboration with healthcare professionals and industry partners will provide practical insights and application-driven research opportunities.
Expected Outcomes
This research will develop novel solutions to improve patient outcomes, reduce costs, and increase the operational efficiency of healthcare systems. The integration of data science and artificial intelligence will contribute to more accessible and higher quality healthcare delivery models.
Why This Matters
Optimizing health systems is critical in today’s rapidly changing healthcare environment. This work addresses real healthcare challenges with advanced analytics, directly impacting care quality, cost management, and resource efficiency, ultimately benefiting patients and providers.
Entry Requirements
How to Apply
Eligibility
Supervisor Profile
Dr. Maryam Eghbalizarch is an Assistant Professor in the Department of Industrial and Systems Engineering at Kennesaw State University. She leads research within the Health Systems Optimization Lab, focusing on applying optimization, Markov modeling, and machine learning to healthcare systems. Her work is interdisciplinary, combining engineering techniques with healthcare applications to enhance care quality and system efficiency.