Mucahit Cevik is an Assistant Professor at the Department of Mechanical and Industrial Engineering, Ryerson University. He obtained his Ph.D. in Industrial and Systems Engineering from University of Wisconsin - Madison, and received his B.Sc. and M.A.Sc. in Industrial Engineering from Bogazici University, Turkey. The focus of his research has been on developing dynamic screening policies for breast cancer and optimization models for radiation therapy treatment planning problems.
- Markov Decision Processes
- Integer Programming
- Medical Decision Making
- Radiation Therapy Treatment Planning
For information on publications please visit: https://scholar.google.ca/citations?user=TanTVWIAAAAJ&hl=en
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