Medical AI & Machine Learning⌗

Facial Analysis in Acromegaly Using Machine Learning: Towards Earlier Diagnosis B.B. Kocaman, O.R. Akkol, G. Onay, A.B. Bektas, S. Sahin, I. Muradov, L. Soltanova, S.S. Taze, Z. Kara, H.M. Ozkaya, M. Adel, P. Kadioglu Journal of Clinical Endocrinology & Metabolism, dgaf477 (2025) PubMed | DOI

Revisiting Mortality in Acromegaly Using Machine Learning C. Sulu, G. Onay, G. Bakhdiyarli, S. Sahin, E. Durcan, Z. Kara, A.N. Demir, O. Martin, H.M. Ozkaya, N. Tanriover, N. Comunoglu, O. Kizilkilic, N. Gazioglu, P. Kadioglu Endocrine, Online ahead of print (2025) PubMed | DOI

Optimization & Machine Learning⌗

Bolstering Stochastic Gradient Descent with Model Building Ş.İ. Birbil, S. Martin, G. Onay, F. Oztoprak TOP, 32(3), 517-536 (2024) journal | arXiv | code

Mathematical Logic⌗

Fields with Automorphism and Valuations O. Beyarslan, D. Hofmann, G. Onay, D. Pierce Archive for Mathematical Logic, 59(7-8), 997-1008 (2020) journal | arXiv

Valued Modules over Skew Polynomial Rings I G. Onay The Journal of Symbolic Logic, 82(4), 1519-1540 (2017) journal | arXiv

Quantifier Elimination for Valued Fields Equipped with an Automorphism S. Durhan, G. Onay Selecta Mathematica (New Series), 21(4), 1177-1201 (2015) journal | arXiv

Preprints⌗

Modules C-minimaux sur des anneaux polynomes tordus (2019) arXiv

Valued Modules over Skew Polynomial Rings II (2018) arXiv

$F_p((X))$ is Decidable as a Module over the Additive Polynomials (2018) arXiv

Knaster-Tarski Teoremi Matematik Dünyası, Issue 103

Work in Progress⌗

Axiomatization of Laurent Series over $\mathbb{F_p}^{alg}$ Joint work with A. Fehm and F. Delon

Note: This work has been suspended after a gap appeared in the proof. However, I still believe in the conjecture and look forward to developing it further. See my Oxford talk slides for more details.