Research Interests
Methodology: Stochastic Modeling & Dynamic Programming, Partially/Completely Observable MDPs, Optimization, Simulation, Mixed-Integer Programming
Application: Medical Decision Making, Data Analytics, Healthcare Delivery, Location Analysis, Supply Chain and Logistics
Akgun, E., Alumur, S.A., Erenay, F.S. (2023). Determining optimal COVID-19 testing center locations and capacities. Health Care Management Science, 26(4), 748–769.
Lin, R., Akgun, E., Erenay, F.S., Alumur, S.A., Ciccotelli, W.A. (2023). Effectiveness of Methicillin-resistant Staphylococcus aureus surveillance among exposed roommates in community hospitals: Conventional culture vs direct PCR. American Journal of Infection Control, 51(11), 1242–1249.
Şen, A., Kargar, K., Akgun, E., Pinar, M.Ç. (2020). Codon Optimization: A Mathematical Programming Approach. Bioinformatics, 36(13), 4012–4020.
Akgun, E., Erenay, F.S., Alumur, S.A., Ciccotelli, W.A. (2025). Optimizing surveillance protocols for hospital-acquired infections: Case of MRSA.
Akgun, E., Erenay, F.S., Alumur, S.A., Ciccotelli, W.A. (2025). Application of a hybrid discrete-event simulation and Markov model for infectious disease screening.
Dagsuyu, C., Bayir, A., Akgun, E., Erenay, F.S., Kokangul, A., Alumur, S.A., Narli, N. (2025). Optimal catheter administration using Markov Decision Processes: Reducing infection risk, medical wastage and cost.
Akgun, E., Bayir, A., Erenay, F.S., Alumur, S.A., Mura, M. (2025). Development of a risk stratification score to predict survival in patients with idiopathic pulmonary fibrosis.