Ayşe Nur Aslan

Developed a computer-vision-based industrial quality control system and contributed to web and mobile application development. Wrote grant applications for TÜBİTAK 1507 and KOSGEB programs and supported integration of portable energy systems.

Acquired, preprocessed, and fused camera and sensor data for R&D projects. Analyzed visual datasets and performed model training and validation.

Conducted research on anomaly detection and object recognition, developing deep-learning-based computer vision systems using Python, OpenCV, and PyTorch.

Supported university-industry collaboration, project organization, technical coordination, and website content management.

Wrote and presented Interreg projects between France, Switzerland, and Germany, and collaborated on international R&D initiatives with partners from multiple European countries.

Implemented line tracking, obstacle avoidance, and path planning on Jetson Xavier NX, and worked on sensor fusion and ADAS algorithms.

Performed data retrieval and consistency validation across academic systems using table matching and statistics.

Performed data cleaning, preprocessing, and visualization on large datasets using Python and pandas.

Pursuing a PhD in Computer Engineering at Fırat University, with research focused on computer vision and autonomous systems.

Completed a Master of Science in Computer Engineering at Fırat University, with a thesis on obstacle detection and path planning for unmanned ground vehicles.

Earned a Bachelor of Science in Computer Engineering from Fırat University.