Education
Sorbonne University & Université Paris Cité
MSc Cog-SUP — Computational Neuroscience & AI Track
Galatasaray University
BSc Computer Engineering
- Honors: Best Research Award (2025)
Skills
Publications
An Edge Feature Inclusive Variational Graph Autoencoder for PET-Driven Alzheimer's Diagnosis
Gürbüz, S. M., Adel, M. — 2025 14th International Conference on Image Processing, Theory, Tools & Applications (IPTA), Istanbul, Türkiye, pp. 1–4. DOI: 10.1109/IPTA66025.2025.11222021
Research & Projects
Motor Cortex Population Dynamics Analysis
Personal project
- Built analysis pipeline for MC_RTT dataset to study rotational dynamics in motor cortex populations.
- Implemented noise injection experiments to test robustness of jPCA-extracted manifolds.
- Applied sliceTCA to demix covariability classes before trajectory analysis.
FSCV Neuromodulator Decoding
Research Intern — INM/UNICOG
- Developing deep learning models for FSCV to decode monoamine concentrations from noisy time series recordings.
- Supervisors: Joao Barbosa, Philippe Domenech
GINE–VGAE for FDG-PET in Alzheimer's Disease
Bachelor's Thesis, Conference Paper — Advisor: Prof. Dr. Mouloud Adel
- Developed edge-informed Variational Graph Autoencoder for Alzheimer's classification from FDG-PET scans (93.8% accuracy, 0.937 F1-score).
- Best Research Award (2025).
- Published: Gürbüz & Adel, IEEE IPTA 2025, DOI: 10.1109/IPTA66025.2025.11222021.
Bayesian Agent Learning & Inference
Course Project — Bayesian modeling of brain and behavior
- Inferred Bayesian agent priors using analytical and maximum likelihood methods.
- Developed algorithms to infer learning rules governing belief updates.