معرفی
Enis Kayış is an Associate Professor in the Industrial Engineering Department at Ozyegin University, Turkey. His academic journey began with dual B.Sc. degrees in Industrial Engineering and Mathematics from Bogazici University (2002), followed by an M.Sc. in Statistics (2007) and a Ph.D. in Management Science and Engineering (2009) from Stanford University.
Research Interests focus on data-driven decision making and business analytics, applied to outsourcing, supply chain contracting, and healthcare operations. His work bridges theoretical models with practical solutions, particularly in stochastic optimization and operational efficiency.
Selected Research Trends include: predicting surgery durations using operational/temporal factors, inventory pooling under dependent demand, and supply chain contract design under information asymmetry. These align with broader applications in healthcare analytics and revenue management.
Scientific Awards:
- 2012 INFORMS Revenue Management and Pricing Section Practice Award
Advising & Grants: He has advised MS students like Ertugrul Ayyildiz and Tagi Hanalioglu. His TUBITAK CAREER grant project on Daily Operating Room Planning (2015-2018) involved collaboration with Turkish hospitals, while industry projects included Product Pricing Optimization (Gtech, 2015-2016) and Healthcare Operations Analytics (HP Labs, 2012-2013).
Labs & Collaborations: His research group engages in EU-wide trainings and partnerships with hospitals to enhance operating room scheduling efficiency.
