Biography
M. Hakan Akyüz received his Ph.D. degree in Industrial Engineering from Boğaziçi University. He worked as a post-doctoral fellow at Hong Kong University of Science and Technology between 2012-2013. He joined the Department of Industrial Engineering at Galatasaray University in 2014 as an Assistant Professor and became an Associate Professor in 2018. He is part of the Econometrics Department at Erasmus School of Economics since 2020. His research interest spans logistics, algorithms and machine learning. He aims to integrate optimization and machine learning techniques in decision making with an emphasis on explainability and algorithmic fairness. Dr. Akyüz is also associated with the sector plan SSH Breed on Theme 4 (Digital decision support) at Erasmus University Rotterdam as a member.
More information
Work
- T Tan, MH Akyüz, B Urlu & S Ruiz (2023) - Stop Auditing and Start to CARE: Paradigm Shift in Assessing and Improving Supplier Sustainability - Journal on Applied Analytics, 54 (3) - doi: 10.1287/inte.2022.0015 - [link]
- M. Hakan Akyüz, Kuban Altınel & Temel Öncan (2023) - Maximum weight perfect matching problem with additional disjunctive conflict constraints - Networks, 81 (4), 465-489 - doi: 10.1002/net.22139 - [link]
- Gökhan Altay, M. Hakan Akyüz & Temel Öncan (2023) - Solving a minisum single facility location problem in three regions with different norms - Annals of Operations Research, 321 (1-2), 1-37 - doi: 10.1007/s10479-022-04952-5 - [link]
- M. Hakan Akyüz, Rommert Dekker & Shadi Sharif Azadeh (2023) - Partial and complete replanning of an intermodal logistic system under disruptions - Transportation Research Part E: Logistics and Transportation Review, 169 - doi: 10.1016/j.tre.2022.102968 - [link]
- M. Hakan Akyüz, İbrahim Muter, Güneş Erdoğan & Gilbert Laporte (2022) - Minimum cost delivery of multi-item orders in e-commerce logistics - Computers and Operations Research, 138 - doi: 10.1016/j.cor.2021.105613 - [link]
- M Hakan Akyüz & Ş İlker Birbil (2021) - Discovering Classification Rules for Interpretable Learning with Linear Programming - [link]
- Temel Öncan, Hakan Akyuz & Kuban Altınel (2019) - An exact algorithm for the maximum weight perfect matching problem with conflicts - [link]
- Temel Öncan, Hakan Akyuz & Kuban Altınel (2019) - A Branch-and-Bound Algorithm for the Maximum Weight Perfect Matching Problem with Conflicting Edge Pairs - [link]
- T Öncan, Z Şuvak, Hakan Akyuz & K Altınel (2019) - Assignment problem with conflicts - Computers and Operations Research, 111, 214-229 - doi: 10.1016/j.cor.2019.07.001
- Hakan Akyuz, T Öncan & İK Altınel (2019) - Branch and bound algorithms for solving the multi-commodity capacitated multi-facility Weber problem - Annals of Operations Research, 279 (1-2), 1-42 - doi: 10.1007/s10479-018-3026-5
- Hakan Akyuz, Ilker Birbil & Sinan Yıldırım (2022) - International Conference of the ERCIM WG on Computational and Methodological Statistics (Participant)
Activity: Attending an event › Academic - Hakan Akyuz & Ş İlker Birbil (2022) - Making Sense of Interpretable Machine Learning (Member of programme committee)
Activity: Organising and contributing to an event › Academic - Hakan Akyuz (2021) - Rule discovery for interpretable learning with linear programming (Speaker)
Activity: Oral presentation › Academic
Machine Learning in Econometrics
- Year
- 2024
- Course Code
- FEM21045
Seminar Supply Chain Management and Opti
- Year
- 2024
- Course Code
- FEM11195
Seminar in Machine Learning
- Year
- 2024
- Course Code
- FEB23020
Machine Learning in OR
- Year
- 2024
- Course Code
- FEM21046
Machine Learning
- Year
- 2024
- Course Code
- FEM31002
