Eyüp Çetin is tenured Professor of Operations Research and Statistics in the Department of Quantitative Methods in School of Business at Istanbul University, and Affiliate Distinguished Professor at York University, Canada. He is also affiliated with New York Business Global, USA. He has held some managerial positions. He is Former and Founding Dean of the Faculty of Transportation and Logistics and Former Vice Dean of the School of Business at Istanbul University. He received a Ph.D. in quantitative methods from Istanbul University in 2004. He has taught courses in management science, statistics, business analytics, stochastic models, game theory and health analytics to all level of business, engineering, healthcare management students: undergraduates, MBAs and Ph.D. students. He has been a consultant for numerous companies, and he has taught statistical & decision modelling and business analytics in even global companies such as Vodafone. His current research focuses on business analytics, data science, digital business & health, healthcare management science, mathematical medicine, operations research, mathematical & statistical modelling. Dr. Çetin is also Founder and Editor-in-Chief of prestigious international academic journals such as European Journal of Pure & Applied Mathematics.

Focuses on quantitative issues, forecasting and artificial intelligence in healthcare

Considers digitalization as a viral tool in healthcare in the digital era

Combine both qualitative and quantitative studies about healthcare

1. Introduction: Contemporary Strategy and Approaches in Healthcare Policy, Innovation and Digitalization.- 2. Prioritization in health care: The influence of frames on accepting prioritization criterial.- 3. Using pharmacoepidemiologic studies to inform drug policy and spending: a health economics perspective.- 4. Accelerating Personalized Medicine Adoption in Oncology: Challenges and Opportunities.- 5. Framework for Epidemic Risk Analysis.- 6. Transmissibility and death index from pandemic COVID-19 among nations across continents.- 7. Assessing health inequalities of diabetes care through the application of the bio-ecology theory.- 8. The computational perspective on internalized and simplex-structured motivation.- 9. Recent Developments of Multiple Myeloma: Analysis and Analytical Modeling Using Real Data.- 10. Refined Machine Learning Approaches for Mask Policy Analysis.- 11. Allocating Capacity for Office and Virtual Visits in Chronic Care Settings.- 12. Collaborative Systems Analytics to Advance Clinical Care: Application to Congenital Cardiac Patients.