Mucahit Cevik

Mucahit Cevik is an Associate Professor at Toronto Metropolitan University within the Department of Mechanical, Industrial, and Mechatronics Engineering, where he applies mathematical modeling to optimize systems in healthcare and other domains.

• Education: PhD (2016, University of Wisconsin), MASc (2011), BSc (2009) from Boğaziçi University

His research bridges machine learning, operations research, and healthcare operations, focusing on Markov decision processes and medical decision-making. Current work includes improving cancer screening and radiation treatment accuracy, as well as hospital operational efficiencies for emergency departments.

He teaches courses such as IND 405 (Introduction to Data Science and Analytics), IND 708 (Information Systems), and ME8202 (Machine Learning), emphasizing the societal impact of industrial engineering in healthcare and beyond.