Onan, Aytuğ

dc.date.accessioned 2026-02-09T11:30:10Z
dc.date.available 2026-02-09T11:30:10Z
dc.identifier.uri https://hdl.handle.net/11147/18906
dspace.entity.type Person
gperson.biography Dr. Aytuğ Onan received his B.Sc. degree in Computer Engineering from Izmir University of Economics, Turkey, in 2010. He completed his M.Sc. and Ph.D. degrees in Computer Engineering in 2013 and 2016, respectively, both at Ege University, Turkey. Since September 2025, he has been serving as a Full Professor of Computer Science in the Department of Computer Engineering at İzmir Institute of Technology (IZTECH), Turkey. Dr. Onan has made significant contributions to the fields of machine learning, natural language processing, and computational linguistics, publishing numerous research papers in prestigious international journals and conferences. He actively serves as an associate editor and reviewer for several high-impact journals, including Expert Systems with Applications, PLOS ONE, and the International Journal of Machine Learning and Cybernetics. His research primarily focuses on the development of advanced machine learning methodologies, contrastive learning techniques, and large language model–based frameworks for data-driven problem-solving in diverse domains. Dr. Onan has been recognized globally for his impactful research and has been included in the “Most Influential Scientists of the World” list for six consecutive years (2020–2025), compiled by a research team led by Dr. John Ioannidis from Stanford University, USA.
gperson.identifier.yokid 172114
gperson.status Current
gperson.website https://aytugonan.github.io/
person.email aytugonan@iyte.edu.tr
person.familyName Onan
person.givenName Aytuğ
person.identifier.gsid cdUqOj0AAAAJ
person.identifier.orcid 0000-0002-9434-5880
person.identifier.rid L-4613-2018
person.identifier.scopus-author-id 55201862300
person.jobTitle Prof. Dr.
person.name.variant Onan, Aytug
person.name.variant Onan, Aytuʇ
relation.isOrgUnitOfPerson.latestForDiscovery 9af2b05f-28ac-4014-8abe-a4dfe192da5e
relation.isPublicationOfAuthor.latestForDiscovery a54c772e-c7eb-4817-b586-23e61421aae0

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