Projects per year
Personal profile
Personal Statement
Kerem Akartunali is Professor in the Department of Management Science at Strathclyde Business School, where he joined as John Anderson Research Lecturer (JARL) in Optimization in 2010, and also a Visiting Professor at Institute of Mathematics and Computer Science (ICMC-USP) of University of São Paulo since 2017. After completing his Ph.D. in 2007 at the University of Wisconsin-Madison with a specialization in optimization, he worked on airline planning and scheduling problems 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. Kerem’s research expertise lies primarily in integer programming, robust and network optimization, and their applications, in particular in lot-sizing/production planning, transportation scheduling/planning, health applications such as radiation treatment planning and nurse rostering, and energy applications such as offshore windfarm installation.
Kerem's research has been funded by various bodies/organizations including Engineering and Physical Sciences Research Council (EPSRC), Scottish Funding Council (SFC), Capita and US Air Force Office of Scientific Research. He has been an active member of Mathematical Optimization Society and INFORMS since 2003. He was the elected chair of the OR Group of Scotland (the regional branch of OR Society) betwen 2012-2016. He is currently a Full Member of the EPSRC Peer Review College, and also a member of Isaac Newton Institute Management Committee, the OR Society Research Panel, and EURO Working Group in Lotsizing Board. Kerem regularly reviews articles for many prestigious journals such as European Journal of Operational Research, IIE Transactions, INFORMS Journal on Computing, Mathematical Programming, Naval Research Logistics and Operations Research.
Kerem has worked with many organizations, including First Milk, Glasgow City Council, 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 go hillwalking.
You can also visit his personal website or check his Google Scholar profile.
Research Interests
My broad research area is operations research, with a focus in integer, network and robust optimization, and their applications in practice. Since my PhD thesis, I have been working on production planning and lot-sizing problems, as well as a number of optimization applications, in particular large-scale transportation problems (such as airline scheduling and vessel crew scheduling), and health applications (such as radiation treatment planning, nurse rostering and home care routing).
Teaching Interests
I have been extensively involved with teaching activities in various levels from undergraduate to Masters since I was a PhD student. I was exposed to course development as early as the last year of my PhD studies, and I have received extensive teaching training during my PhD studies as well as during my employments. I have used my research in a number of teaching activities, and have employed a range of state-of-the-art technologies (such as access grid and virtual workspace) in various courses.
I like to teach classes in the broad area of operational research/management science, in particular in optimization techniques and software, OR modelling and applying these theories to real world problems.
In light of my previous role as SBS Faculty Digital Education Director, I have been extensively involved in strategically planning, design and development of the next generation of online learning, including MOOCs, distance learning degrees and blended learning courses.
Expertise & Capabilities
My expertise spans the following areas and applications:
- Operational Research,
- Mathematical Optimization,
- Integer and Combinatorial Optimization,
- Robust Optimization,
- Network Optimization,
- Production Planning,
- Transportation and Logistics Planning/Scheduling,
- Radiation Treatment Planning Optimization,
- Offshore Windfarm Installation Logistics
- Social Networks
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Computational Methods for Big Bucket Production Planning Problems: Feasible Solutions and Strong Formulations, University of Wisconsin-Madison
Award Date: 1 Jan 2007
Master of Science, University of Wisconsin-Madison
Award Date: 1 Jan 2003
Bachelor of Science in Engineering, Middle East Technical University
Award Date: 1 Jan 2002
External positions
Visiting Professor, Institute of Mathematics and Computer Science (ICMC-USP), University of São Paulo
Aug 2017 → …
Keywords
- Integer programming
- Combinatorial optimization
- optimization techniques
- Production planning
- Transportation scheduling
- Radiotherapy treatment planning
- Robust optimization
- Network Optimization
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Collaborations and top research areas from the last five years
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Multi-Item Production Planning: Theory, Computation and Practice
Akartunali, K. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/03/14 → 31/05/15
Project: Research
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Multi-Level Robust Optimization: Theory, Algorithms and Practice
Akartunali, K. (Principal Investigator) & Barlow, E. (Co-investigator)
Air Force Office of Scientific Research AFOSR (the)
20/08/18 → 19/08/21
Project: Research - Studentship
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Local cuts and two-period convex hull closures for big-bucket lot-sizing problems
Akartunali, K., Fragkos, I., Miller, A. J. & Wu, T., 31 Oct 2016, In: INFORMS Journal on Computing. 28, 4, p. 766-780 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile26 Citations (Scopus)45 Downloads (Pure) -
Compact uncertainty sets for robust optimization based on bootstrapped Dirichlet process mixture model
Neofytou, A., Liu, B. & Akartunali, K., 3 Feb 2025, (E-pub ahead of print) In: Optimization. 44 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure)
Datasets
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Dataset of Home Care Scheduling and Routing Problems with Synchronized Visits
Polnik, M. D. (Creator), Riccardi, A. (Supervisor) & Akartunali, K. (Contributor), University of Strathclyde, 25 Oct 2018
DOI: 10.15129/2d4885e1-bc24-414b-83ce-a846fb5c9689
Dataset
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Data for: "DECOMPOSITION BASED HEURISTICS FOR A LOT SIZING AND SCHEDULING PROBLEM ON MULTIPLE HETEROGENEOUS PRODUCTION LINES WITH PERISHABLE PRODUCTS"
Soler, W. A. D. O. (Creator), Santos, M. O. (Creator) & Akartunalı, K. (Creator), figshare, 21 Mar 2023
DOI: 10.6084/m9.figshare.19967754.v1
Dataset
Prizes
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Postdoctoral Research Fellowship (University of Melbourne, Australia)
Akartunali, K. (Recipient), 2007
Prize: Fellowship awarded competitively
Activities
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Erasmus School of Economics, Erasmus University Rotterdam
Akartunali, K. (Visiting researcher)
19 Jun 2023 → 23 Jun 2023Activity: Visiting an external institution types › Visiting an external academic institution
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Faculty of Economics and Business, KU Leuven
Akartunali, K. (Visiting researcher)
12 Jun 2023 → 19 Jun 2023Activity: Visiting an external institution types › Visiting an external academic institution