Kerem Akartunali is a Senior Lecturer (Associate Professor) in the Department of Management Science at Strathclyde Business School, where he joined as John Anderson Research Lecturer (JARL) in Optimization in 2010.
After completing his Ph.D. in 2007 at the University of Wisconsin-Madison with a specialization in optimization, he worked as a postdoctoral research fellow in the Department of Mathematics and Statistics at the University of Melbourne in collaboration with Constraint Technologies International, an Australian software company, on airline planning and scheduling problems. Kerem’s research expertise lies primarily in integer programming and its applications, in particular in lot-sizing/production planning, transportation scheduling/planning, radiation treatment planning optimization and nurse rostering.
Kerem’s research has been funded by various bodies/organizations including Engineering and Physical Sciences Research Council (EPSRC), Scottish Funding Council (SFC), Capita and USAF Office of Scientific Research. He has been an active member of INFORMS and Mathematical Optimization Society since 2003, and he has also been the elected chair of the OR Group of Scotland (the regional branch of OR Society) since 2012. Kerem regularly reviews articles for many prestigious journals such as European Journal of Operational Research, IIE Transactions, INFORMS Journal on Computing and Naval Research Logistics.
Kerem has worked with many organizations, including First Milk, NHS, Scottish Power, Scottish Southern Energy and Technip, in a variety of projects ranging from short-term consultancy/knowledge exchange to long-term research partnerships.
In his spare time, Kerem likes to play ultimate frisbee and go hiking.
Notable publications:
1. Local cuts and two-period convex hull closures for big-bucket lot-sizing problems, Akartunali Kerem, Fragkos Ioannis, Miller Andrew J., Wu Tao, INFORMS Journal on Computing Vol 28, pp. 766-780, (2016)
2. A heuristic approach for big bucket multi-level production planning problems, Akartunali, K. & Miller, A., European Journal of Operational Research Vol 193, pp. 396-411, (2009)
3. A hybrid integer programming and variable neighborhood search algorithm to solve Nurse Rostering Problems, Rahimian Erfan, Akartunali Kerem, Levine John, European Journal of Operational Research Vol 258, pp. 411–423, (2017)
LinkedIn: https://www.linkedin.com/in/kerem-akartunali-a2b8b52/
Google Scholar: https://scholar.google.co.uk/citations?user=Uzg3QyAAAAAJ&hl=en