Zahra Seyedghorban started as a new PhD student in Track 4

Zahra will be working with Burcu, Annibale, and Egor in track 4 on the utilization of dynamic analysis for improving the software development.

Zahra holds a Master’s degree in Information Technology - Multimedia Systems from the University of Tehran, where her research focused on anomaly detection in the classification of encoded image data. With expertise in machine learning, anomaly detection, and open set classification, she is passionate about advancing trustworthy AI and contributing to open-source innovation.