Amr Joined IKIM as a Ph.D. student and a researcher at the Trustworthy machine learning research group. He received his master’s degree in mathematical modeling and programming from TU Wien, Austria, and the University of L’Aquila, Italy under one of Erasmus scholarship programs. During his master’s studies, he developed a python library to solve a system of stiff nonlinear ODE faster than the normal traditional solver using artificial neural networks. His research interests are Statistical learning theory, Machine learning, and Mathematical modeling. His current work is developing/investigating novel approaches to privacy-preserving federated learning applications.