Burak Yetiştiren

July 2021 – September 2023

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I worked under the supervision of Asst. Prof. Dr. Eray Tuzun. My research focused on the empirical evaluation of code generation tools like GitHub Copilot, Amazon CodeWhisperer, and ChatGPT, in terms of their code generation accuracies and potential limitations. In that regard, my paper named “Assessing the Quality of GitHub Copilot’s Code Generation” was accepted to appear in the “18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE ‘22)”.

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I regularly and systematically reviewed the papers of other members in my lab to find the points to be improved before submission.

July 2021 – September 2021

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ArgosAI develops a product called A-FOD, which is an electro-optic system to detect the FOD’s (foreign object debris) and pavement anomalies on the runway surface of the airports.

 

I trained a generative adversarial network, which was trained with the data captured on one airport to generate images which can be used as training data for another airport. I have used PyTorch for implementing the “SPAGAN: Spatial Attention GAN (Generative Adversarial Networks) for Image-to-Image Translation” architecture in my model.

June 2021 – July 2021

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I worked with React.js framework to get information from submitted forms and show the submission information on a web application.

July 2020 – August 2020

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I implemented a deep learning model using Python, which predicts COVID-19 negative and positive cases with 70% precision using lung CT scans. I have worked under supervision of Prof. Dr. Ciğdem Gündüz-Demir.