UCL School of Management

Mecit Can Emre Simsekler

Honorary Research Fellow
Elsewhere
mcesimsekler

Biography

Dr. Mecit Can Emre Simsekler is an Associate Professor at the Department of Management Science and Engineering at Khalifa University of Science and Technology, Abu Dhabi; and an Honorary Research Associate at the University College London (UCL) School of Management, London. In addition, he is a Visiting Scholar at Boston Children’s Hospital (Teaching Hospital of Harvard Medical School), and Cleveland Clinic Abu Dhabi.

Dr. Simsekler obtained his Ph.D. from the University of Cambridge in 2015. During his PhD, he was a visiting researcher at the Center for Medical Innovation System at the University of Tokyo in Summer 2012, and in the Center for Patient Safety and Quality Research at Boston Children’s Hospital in Summer 2014. After completing his PhD, he worked as a Research Associate at the UCL School of Management between 2015 and 2016.

Research

Dr. Simsekler’s research interests span healthcare analytics and management to improve operational and safety outcomes and accelerate risk-based decision-making. He explores the role of systems thinking, business analytics, and disruptive technologies, such as artificial intelligence and machine learning, to leverage digital and sustainable transformation in building high-value health systems.

He has served as an investigator and co-investigator on several research grants to improve healthcare operations and analytics applications. Dr. Simsekler is a member of the Institute for Operations Research and Management Science (INFORMS), the Institute of Industrial and Systems Engineers (IISE) and the European Operations Management Association (EUROMA).

Selected publications
Qazi, A., & Simsekler, M. C. E. (2023). Nexus between drivers of COVID-19 and country risks. SOCIO-ECONOMIC PLANNING SCIENCES, 85, ARTN 101276. doi:10.1016/j.seps.2022.101276 [link]
Qazi, A., Simsekler, M. C. E., & Formaneck, S. (2023). Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation. ANNALS OF OPERATIONS RESEARCH, 322 (1), 241-272. doi:10.1007/s10479-022-04598-3 [link]
Al-Nammari, R., Simsekler, M. C. E., Gabor, A. F., & Qazi, A. (2023). Exploring Drivers of Staff Engagement in Healthcare Organizations Using Tree-Based Machine Learning Algorithms. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 70 (8), 2988-2997. doi:10.1109/TEM.2022.3209879 [link]
Qazi, A., Simsekler, M. C. E., & Gaudenzi, B. (2021). Prioritizing Multidimensional Interdependent Factors Influencing COVID-19 Risk. RISK ANALYSIS, 42 (1), 143-161. doi:10.1111/risa.13841 [link]
Simsekler, M. C. E., & Qazi, A. (2020). Adoption of a Data-Driven Bayesian Belief Network Investigating Organizational Factors that Influence Patient Safety. RISK ANALYSIS, 42 (6), 1277-1293. doi:10.1111/risa.13610 [link]