dr. I. (Ioannis) Fragkos
Ioannis Fragkos is Assistant Professor in the Department of Technology and Operations Management, within the Rotterdam School of Management (RSM). Before joining RSM, Ioannis was an instructor at University College London, teaching staff at London Business School and London School of Economics, and a research scientist with the Department of Logistics and Operations Management at HEC Montreal.
Ioannis’s research focuses on decision analytics, decision support systems and the development of large-scale optimization models. His research has appeared in leading international academic journals, and has been applied in a variety of companies in the high-tech, maritime, transportation and education industries. Ioannis has collaborated with organizations such as the UK Department for Transport, Network Rail, the Noble Group, and London Business School. He is a regular speaker at international conferences in the area of decision analytics, operations management and management science, and a member of the Institute for Operations Research and Management Science (INFORMS).
Work in Progress
- I. Fragkos, J.F. Cordeau & R. Jans (2018). The Multi-Period Multi-Commodity Network Design Problem. (Preprints). :
Publications (9)
Articles (7)
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B. De Reyck, I. Fragkos, Y. Grushka-Cockayne, C. Lichtendahl, H. Guerin & A. Kritzer (2017). Vungle Inc Improves Monetization using Big-Data Analytics. Interfaces, 47 (5), 454-466. doi: http://dx.doi.org/10.1287/inte.2017.0903
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J. Wagenaar, L. Kroon & I. Fragkos (2017). Rolling stock rescheduling in passenger railway transportation using dead-heading trips and adjusted passenger demand. Transportation Research. Part B, Methodological, 101, 140-161. doi: http://dx.doi.org/10.1016/j.trb.2017.03.013
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I. Fragkos & B. De Reyck (2016). On improving the Maritime Transshipment Operations of the Noble Group. Interfaces, 46 (3), 203-217. doi: http://dx.doi.org/10.1287/inte.2015.0841
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I. Fragkos, Z. Degraeve & B. De Reyck (2016). A Horizon Decomposition approach for the Capacitated Lot Sizing Problem with Setup Times. INFORMS Journal on Computing, 28 (3), 465-482. doi: http://dx.doi.org/10.1287/ijoc.2016.0691
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K. Akartunali, I. Fragkos, A.J. Miller & T. Wu (2016). Local Cuts and Two-Period Convex Hull Closures for Big-Bucket Lot-Sizing Problems. INFORMS Journal on Computing, 28 (4), 766-780. doi: http://dx.doi.org/10.1287/ijoc.2016.0712[go to publisher's site]
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S. Alexandre de Araujo, B. De Reyck, Z. Degraeve, I. Fragkos & Raf Jans (2015). Period Decompositions for the Capacitated Lot Sizing Problem with Setup Times. INFORMS Journal on Computing, 27 (3), 431-448. doi: 10.1287/ijoc.2014.0636
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E. Papadopoulos, I. Fragkos & I. Tortopidis (2007). On Robot Gymnastics Planning with Non-zero Angular Momentum. In 2007 IEEE International Conference on Robotics and Automation. Rome: IEEE
Professional Publications (2)
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B. De Reyck, Y. Grushka-Cockayne, I. Fragkos, J. Harrison & D. Read (2017). Optimism Bias Study: Recommended Adjustments to Optimism Bias Uplifts. (Extern rapport). : UK Department for Transport
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I. Fragkos (2016). Finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice. Vakpublicatie.
PhD Track (1)
- Role: Co-promotor
- PhD Candidate: Anna Nikulina
- Time frame: 2016 -
Recognitions (8)
Editorial positions (7)
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Computers and Operations Research
Ad Hoc Reviewer
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Journal of Operations Management
Ad Hoc Reviewer
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Transportation Science
Ad Hoc Reviewer
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International Journal of Production Economics
Ad Hoc Reviewer
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Interfaces
Ad Hoc Reviewer
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Human Resource Management
Ad Hoc Reviewer
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Journal of Combinatorial Optimization
Ad Hoc Reviewer
Organization Memberships
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Institute for Operations Research and the Management Sciences
Member
Events (5)
Address
Office: Mandeville Building T09-27
Burgemeester Oudlaan 50
3062 PA Rotterdam
Postbus 1738
3000 DR Rotterdam
Netherlands
