6G-SKY

The project systematically explored cutting-edge methodologies to enhance the explainability, interpretability, and robustness of deep learning networks within the domain of 6G Sky. The investigation focused on implementing state-of-the-art techniques to ensure transparency in AI decision-making, contributing to the development of responsible and ethically sound AI solutions for the challenges posed by 6G Sky applications. This project not only advanced theoretical understanding but also honed practical skills in developing and implementing advanced methods for achieving high standards of explainability and interpretability in deep learning networks.

Merve Karalı
Merve Karalı
AI Researcher & Data Engineer

Passionate about leveraging technology to drive innovation and solve complex challenges, I am a seasoned professional with expertise in both AI research and data engineering. Holding a Master’s degree in Informatics from Technical University of Munich, my journey has been marked by hands-on experience in crafting and implementing cutting-edge solutions that bridge the realms of artificial intelligence and data-driven insights.