İbrahim Gülmez

Internship at TUSAŞ A.Ş. (2023-08 – 2023-09)

Aircraft related datasets were investigated and exploratory data analysis was performed to select the Military AirCraft Detection dataset for classification. For classification, a Convolutional Neural Network (CNN) was first tested, followed by EfficientNet B3 with transfer learning to achieve successful classification.

• Investigated aircraft related datasets and performed exploratory data analysis
• Selected Military AirCraft Detection dataset for classification
• Tested Convolutional Neural Network (CNN)
• Applied EfficientNet B3 with transfer learning for successful classification
• Explored and applied Grad-CAM interpretation tools for model interpretation
• Initialized object detection tasks using R-CNN and Fast R-CNN
• Evaluated YOLOv8 and DETR for object detection

Internship at AKGÜN YAZILIM (2023-07 – 2023-08)

Computer vision and artificial intelligence research has been conducted for brain tumor segmentation and classification.

• Conducted computer vision and artificial intelligence research for brain tumor segmentation and classification
• Reviewed relevant literature
• Performed dataset exploration and exploratory data analysis
• Optimized data preprocessing techniques
• Achieved promising results using U-Net architecture with RTX 4090 GPU
• Improved academic article writing skills

Bachelor's Degree in Computer Engineering – Ankara Yıldırım Beyazıt University (2019 – 2024)

Master in Computer Engineering – Ankara Yıldırım Beyazıt University (2025 – 2027)