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Afsana Khan is a Ph.D. candidate in the Department of Advanced Computing Sciences at Maastricht University. Her research focuses on the challenges of Vertical Federated Learning (VFL), an important area within the broader context of Federated Learning. Her academic journey began with her completion of a Master’s degree in Computer Science from the University of Tartu in Estonia. For her Master's thesis, she worked on the topic of 'Synthetic Sensor Data Generation for Authentic IoT Device Emulation'. Afsana's research interests encompass several key domains including Federated Learning, Artificial Intelligence, Data Fusion, and the Internet of Things (IoT). She has been under the supervision of prominent academics, including Prof. Anna Wilbik and Dr. Marijn ten Thij. Afsana is determined to contribute significantly to her field through innovative research and collaborative projects.
The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.