Çakmak, B., & Öngün, C. (2024). Representations in design computing through 3-D deep generative models. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 38, e20.
Başak Çakmak
Peer-reviewed journal articles
Çakmak, B., & Çekmiş, A. (2024). The impact of Gestalt principles on mobile game preference: An AHP-based evaluation. REFLEKTİF Sosyal Bilimler Dergisi, 5(3), 859–878.
Book Chapter
Çakmak, B. (2025). Game development through deep learning–based procedural content generation. In E. Süngü & B. Bostan (Eds.), Game studies and artificial intelligence (pp. 31–60). Nobel Academic Publishing.
Çakmak, B., Akıncı, A. T., & Ötken, G. (2025). The role of artificial intelligence in the diagnosis and treatment of spinal cord injuries. In İ. Yılmaz, M. Albayrak, S. Ercan, D. Yaşar Şirin, & H. Özbek (Eds.), Pharmacogenomic, pharmacological and surgical approaches in spinal cord injury (pp. 385–391). Nobel Medical Publishing.
Çakmak, B., Ötken, G., & Akıncı, A. T. (2023). PERSONALIZED
MEDICAL GRAFT AND GRAFT MOLDING SUPPORTED BY ARTIFICIAL
INTELLIGENCE. In HEALTH& SCIENCE 2023-II.
Peer-reviewed conference papers / chapters in edited volumes
Çakmak, B., Öngün, C. (2023). Representing Design Cognition
Through 3-D Deep Generative Models. In: Gero, J.S. (eds) Design
Computing and Cognition’22. DCC 2022. Springer, Cham. https://doi.
org/10.1007/978-3-031-20418-0_18
Çakmak, B., & Çekmiş, A. (2026). Responsive procedural morphologies adapting to environmental factors in XR. In L. T. De Paolis, P. Arpaia, & M. Sacco (Eds.), Extended reality: XR Salento 2025 (Lecture Notes in Computer Science, Vol. 15741). Springer.
Thesis
Çakmak B (2022) Extending design cognition with computer vision
and generative deep learning, Middle East Technical University, Ankara.