Can Eyupoglu

About

Can Eyupoglu received the B.Sc. degree (Hons.) in Computer Engineering and the Minor degree in Electronics Engineering from Istanbul Kültür University, Türkiye in 2012, and the M.Sc. and Ph.D. degrees in Computer Engineering from Istanbul University in 2014 and 2018, respectively. From 2019 to 2021, he was an Assistant Professor with the Computer Engineering Department, Turkish Air Force Academy, National Defence University, Istanbul, Türkiye. He is currently a Visiting Professor at the School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, and an Associate Professor in the Computer Engineering Department, Turkish Air Force Academy, National Defence University. He has published about 100 papers in various esteemed journals and conferences, and has been serving as a member of the reviewer board in nearly 50 prestigious academic journals. He is also on the editorial board of various reputable journals. His current research interest includes artificial intelligence, machine learning, artificial neural networks, data privacy, cyber security, image processing, and bioinformatics.

Employment

• Cardiff University Visiting Professor
  2026 - Present
• Turkish Air Force Academy Assoc. Prof. Dr.
  2021 - Present
• Turkish Air Force Academy Asst. Prof. Dr.
  2019 - 2021

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (81)

• A Fixed-Ratio Hybrid ARO-ALO Algorithm for Multi-Level Thresholding of Histopathological Colon Cancer Images
  Cancers 2026 DOI: 10.3390/cancers18162656
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• A long short-term memory network to forecast aeroelastic responses of an airfoil section with shape memory alloy-based hysteretic springs
  Aerospace Science and Technology 2026 DOI: 10.1016/j.ast.2026.112140
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• ARTIFICIAL INTELLIGENCE ETHICS IN VARIOUS FIELDS: A REVIEW
  İstanbul Ticaret Üniversitesi Teknoloji ve Uygulamalı Bilimler Dergisi 2026 DOI: 10.56809/icujtas.1730136
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• B2CDMS: A Blockchain-Based Architecture for Secure and High-Throughput Classified Document Logging
  Electronics 2026 DOI: 10.3390/electronics15081681
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• A New Multidimensional Data Anonymization Algorithm for Privacy-Preserving Data Publishing
  Electronics 2026 DOI: 10.3390/electronics15143167
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• PA-FRIM: An Adaptive Hybrid FOX–RUN Framework with Adaptive Intensive Mutation for Multi-Metric Big Data Anonymization
  Symmetry 2026 DOI: 10.3390/sym18050734
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• Natural Dyeing of Vacuum Plasma-Treated Silk Fabric with Hypericum Perforatum and Estimation of Dyeing Characteristics with an Optimizable Neural Network Model
  Fibers and Polymers 2025 DOI: 10.1007/s12221-025-00936-x
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• Investigation of thermal conductivity, sound absorption, and mechanical properties of Alcea Rosea L. fiber-reinforced epoxy composites
  Biomass Conversion and Biorefinery 2025 DOI: 10.1007/s13399-023-05083-y
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• Investigation of Dyeing Behaviors of Bio-mordanted Wool Fabric Dyed with Natural Dye
  Fibers and Polymers 2025 DOI: 10.1007/S12221-025-00858-8
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• Extraction and characterization of novel cellulosic fiber from Phytolacca americana plant stem
  Biomass Conversion and Biorefinery 2025 DOI: 10.1007/s13399-025-06748-6
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