Theses
Theses can be accessed from the National Thesis Center.
| Author | Thesis | Year | Advisor(s) |
|---|---|---|---|
| Brusk Serhat Solgun | A Multi-Agent Deep Reinforcement Learning Approach to Optimal Distribution of Passive Energy Dissipation Devices for Seismically Excited Buildings | 2026 | Ercan Atam |
| Gizem Özçelik | AI-Based Prediction of Algae Blooms | 2026 | Ercan Atam |
| Tugay Balatlı | Learning from Rare Clicks: A Comparative Study of Imbalance Handling Techniques for Deep CTR Prediction | 2026 | Ercan Atam, Şaziye Betül Özateş |
| Enes Köser | Deep Learning-Based Public Transport Demand Forecasting | 2026 | Şaziye Betül Özateş |
| Ahmet Bilal Arıkan | AI-Based Cost Estimation for Automotive Suspension and Steering Parts | 2025 | Şener Özönder |
| Zeynep Karaman | An AI-Based Approach to Academic Quality Quantification | 2025 | Ercan Atam, Şaziye Betül Özateş |
