Ahmed Emad Samy Yossef Ahmed

I am a PhD student in Graph-based Machine Learning at the Software and Computer System (SCS) division, School of Electrical Engineering and Computer Science at the Royal Institute of Technology, KTH. I am part of the Graph Analytics and Network Learning (GALE) group led by Prof. Sarunas Girdzijauskas.

PhD Research

Generally, I'm interested in Machine Learning, Graph Analytics, and Natural Language Processing. My PhD is titled "Decentralized Representation Learning over heterogeneous networks". It combines techniques from Graph Representation Learning and Federated Learning to achieve high-quality insights in a secure and privacy-preserving manner. On the Graph Embedding side, my research focuses on topics such as, Graph Neural Networks (GNNs), Contextualized GRL, and self-supervised GNNs over heterogeneous networks. On the Federated Learning's side, I tackle the security aspect of learning where we devise techniques to mitigate poisoning attacks.

The RAIS Project

I am one of 14 PhDs, spread across 6 different organizations, working on the Real-Time Analytics for the Internet of Sports (RAIS) project. The project is part of the Marie-Curie Innovative Training Network (ITN) and is entirely funded by the European Union as part of the Horizon 2020 program.

Publication List

• Samy, A. E., El-Beltagy, S. R., & Hassanien, E. (2018). A context integrated model for multi-label emotion detection. Procedia computer science, 142, 61-71.
• Samy, A. E., Giaretta, L., Kefato, Z. T., & Girdzijauskas, Š. (2022, April). SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding. In Companion Proceedings of the Web Conference 2022 (pp. 1157-1166).