3/11/2026

Articles

• Örnek, Ö., Sora Gunal, E., & Yazici, A. (2024). On anomaly detection for autonomous transfer vehicles in smart factories. Nicel Bilimler Dergisi (Online), 6(2), 208–227. https://dergipark.org.tr/en/pub/nicel/article/1450906
• Yılmaz, M., Çınar, E., & Yazıcı, A. (2024). Elektrikli araçlarda otonom batarya yönetim sistemi: Literatür incelemesi. EMO Bilimsel Dergi, 14(2), 7–22.
• Değirmenci, E., Özçelik, İ., & Yazıcı, A. (2024). Adversarial attack detection approach for intrusion detection systems. IEEE Access, 12, 195996–196009. https://doi.org/10.1109/ACCESS.2024.3520406
• Cetiner, G., Yayan, U., & Yazıcı, A. (2024). Mutation based white box testing of deep neural networks. IEEE Access, 12, 160156–160174. https://doi.org/10.1109/ACCESS.2024.3482114
• Bekgöz, B. O., Günkaya, Z., Özkan, K., Özkan, M., Özkan, A., & Banar, M. (2024). Regression based prediction of higher heating value for refuse-derived fuel using convolutional neural networks predicted elemental data and spectrographic measurements. Waste Disposal and Sustainable Energy, 6(3), 429–437. https://doi.org/10.1007/s42768-023-00187-7
• Kartal, Y., Akdeniz, E. K., & Özkan, K. (2024). Automating modern code review processes with code similarity measurement. Information and Software Technology, 173, Article 107490. https://doi.org/10.1016/j.infsof.2024.107490
• Balim, C., & Özkan, K. (2024). Creating an AI fashioner through deep learning and computer vision. Evolving Systems, 15(3), 717–729. https://doi.org/10.1007/s12530-023-09498-w
• Ceyhan, M., Kartal, Y., Özkan, K., & Seke, E. (2024). Classification of wheat varieties with image-based deep learning. Multimedia Tools and Applications, 83(4), 9597–9619. https://doi.org/10.1007/s11042-023-16075-5
• Akşit, B., Özden Gürcan, G., & Sarıçiçek, İ. (2024). Flying sidekick traveling salesman problem in truck–drone team logistics with energy issues. Transportation Research Record, 1–15. https://doi.org/10.1177/03611981241243076
• Akkurt, T., & Sarıçiçek, İ. (2024). KPI based performance estimation in production systems using deep learning techniques. Journal of the Faculty of Engineering and Architecture of Gazi University, 39(3), 1499–1507. https://doi.org/10.17341/gazimmfd.1100614
• Yayan, K., Bağlum, C., & Yayan, U. (2024). Multi-label benthic foraminifera identification with convolutional neural networks. IEEE Access, 12, 196769–196785. https://doi.org/10.1109/ACCESS.2024.3520633
• Erdoğmuş, A. K., & Yayan, U. (2024). Kamera hata enjeksiyon aracı ile kamera tabanlı robotik denetleme sisteminin doğrulanması ve onaylanması. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 32(1), 1159–1168. https://doi.org/10.31796/ogummf.1348531
• Yayan, K., Esen, Y. E., & Yayan, U. (2024). A new dimension of learning: Exploring the impact of XR4HRC on training efficacy. ERCIM News, 137, 32–34.

 

 

Papers Presented at Peer-Reviewed Scientific Conferences

 

• Çetiner, G., Bağlum, C., Yayan, U., & Yazıcı, A. (2024). White box testing module for evaluation of transformers-based DNNs. In 2024 Innovations in Intelligent Systems and Applications Conference (ASYU) (Vol. 1, pp. 1–6). IEEE. https://doi.org/10.1109/ASYU62119.2024.10757012
• Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2024). Adaptive large neighborhood search approach for electric vehicle routing problem. 25. Otomatik Kontrol Ulusal Konferansı (TOK 2024) bildiriler kitabı içinde (ss. 63–68). Konya, Türkiye.
• Polat, A. A., Bozkurt Keser, S., Sarıçiçek, İ., & Yazıcı, A. (2024). Elektrikli araç rotalama perspektifinden enerji etkin yol analizi. 25. Otomatik Kontrol Ulusal Konferansı bildiriler kitabı içinde (ss. 88–93). Konya, Türkiye.
• Polat, A. A., Bozkurt Keser, S., Sarıçiçek, İ., & Yazıcı, A. (2024). Energy efficient path analysis from the perspective of electric vehicle routing. 25. Otomatik Kontrol Ulusal Konferansı (TOK 2024) bildiriler kitabı içinde (ss. 88–93). Konya, Türkiye.
• Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2024). Elektrikli araç rotalama problemi için uyarlanabilir geniş komşuluk arama yaklaşımı. 25. Otomatik Kontrol Ulusal Konferansı bildiriler kitabı içinde (ss. 63–68). Konya, Türkiye.
• Kara, M. E., Sipahioğlu, A., & Yazıcı, A. (2024). A mathematical model for routing of industrial inspection robots. 33rd European Conference on Operational Research (EURO 2024) konferans özetleri içinde (s. 377). Kopenhag, Danimarka.
• Sevim, E., Dalgıç, U. E., Yılmaz, M., Çinar, E., & Yazıcı, A. (2024). Optimization of charging prediction in electric vehicle fleets: An integrated approach with EdgeAI and data flow pipelines. In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1–5). IEEE. https://doi.org/10.1109/SIU61531.2024.10600795
• Kahraman, S., Güneş, İ., Kırca, Y. S., Özkan, M., & Yazıcı, A. (2024). Online route analyzer (ORA): Runtime verification service for routing optimization of electric vehicles. In 2024 32nd IEEE Conference on Signal Processing and Communications Applications (SIU). IEEE. https://doi.org/10.1109/SIU61531.2024.10601154
• Taş, M. B. H., Özkan, K., Sarıçiçek, İ., & Yazıcı, A. (2024). Traffic light control with policy gradient-based reinforcement learning. In 2024 32nd IEEE Conference on Signal Processing and Communications Applications (SIU). IEEE. https://doi.org/10.1109/SIU61531.2024.10600899
• Aslan Yildiz, Ö., Sarıçiçek, İ., Özkan, K., & Yazıcı, A. (2024). Routing with pickup and delivery via deep reinforcement learning. In 2024 32nd IEEE Conference on Signal Processing and Communications Applications (SIU). IEEE. https://doi.org/10.1109/SIU61531.2024.10600947
• Konuk, M., Bağlum, C., & Yayan, U. (2024). Evaluation of large language models for unit test generation. In 2024 Innovations in Intelligent Systems and Applications Conference (ASYU) (Vol. 1, pp. 1–6). IEEE. https://doi.org/10.1109/ASYU62119.2024.10756954
• Esen, Y. E., Yayan, U., Yayan, K., & Çetincan, B. K. (2024). XR4HRC project: Training and evaluation approaches for human–robot collaboration with extended reality. In International Conference on Educational Technology and Online Learning (Abstract).

 

Funded Projects

• Yayan, U., Yazici, A., & Yayan, K. (2024). Multiplayer collaborative robotics maintenance training platform in extended reality (XR4MCR) [Project]. Horizon Europe Programme (2024–2025).
• Yayan, K., Yazıcı, A., Özkan, M., & Yayan, U. (2024). Model-based engineering of digital twins for early verification and validation of industrial systems (MATISSE) [Project]. Horizon Europe Programme (2024–2027).
• Yayan, U. (Yürütücü), Yazıcı, A., Özkan, M., Yayan, K., & Sarıçiçek, İ. (2024). Excellence in extended reality for human-robot collaboration (XR4HRC). Horizon Europe (UFUK AVRUPA) projesi.
• Özkan, K. (2024–2026). Yaşlı bireylerde sanal gerçeklik deneyimleme tasarım modeli (SAGEMOD) [Araştırma projesi]. Türkiye Sağlık Enstitüleri Başkanlığı (TÜSEB).
• Girmen, P., Metintaş, S., Dönmez, A., Turan Kızıldoğan, E., Sarıçiçek, İ., & Özkan, K. (2024–2026). Yaşlı bireylerde sanal gerçeklik deneyimleme tasarım modeli (SAGEMOD) [Araştırma projesi]. T.C. Sağlık Bakanlığı.