Biography
M. Hakan Akyüz received his Ph.D. degree in Industrial Engineering from BoÄŸaziçi 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 ÌÇÐÄÖ±²¥ as a member.
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Work
- T Tan, MH Akyüz, B Urlu & S Ruiz (2023) - - Journal on Applied Analytics, 54 (3) - doi: -
- M. Hakan Akyüz, Kuban Altınel & Temel Öncan (2023) - - Networks, 81 (4), 465-489 - doi: -
- Gökhan Altay, M. Hakan Akyüz & Temel Öncan (2023) - - Annals of Operations Research, 321 (1-2), 1-37 - doi: -
- M. Hakan Akyüz, Rommert Dekker & Shadi Sharif Azadeh (2023) - - Transportation Research Part E: Logistics and Transportation Review, 169 - doi: -
- M. Hakan Akyüz, İbrahim Muter, Güneş Erdoğan & Gilbert Laporte (2022) - - Computers and Operations Research, 138 - doi: -
- M Hakan Akyüz & Ş İlker Birbil (2021) - -
- Temel Öncan, Hakan Akyuz & Kuban Altınel (2019) - -
- Temel Öncan, Hakan Akyuz & Kuban Altınel (2019) - -
- T Öncan, Z Şuvak, Hakan Akyuz & K Altınel (2019) - - Computers and Operations Research, 111, 214-229 - doi:
- Hakan Akyuz, T Öncan & İK Altınel (2019) - - Annals of Operations Research, 279 (1-2), 1-42 - doi:
- Hakan Akyuz, Ilker Birbil & Sinan Yıldırım (2022) - International Conference of the ERCIM WG on Computational and Methodological Statistics (Participant)
Activiteit: Attending an event › Academic - Hakan Akyuz & Ş İlker Birbil (2022) - Making Sense of Interpretable Machine Learning (Member of programme committee)
Activiteit: Organising and contributing to an event › Academic - Hakan Akyuz (2021) - Rule discovery for interpretable learning with linear programming (Speaker)
Activiteit: Oral presentation › Academic
