Semi-Supervised Machine Learning Applications in RAN Design: Towards Data-Driven Next Generation Cellular Networks. - Ayman Gaber; Tamer Arafa; Nashwa Abdelbaki (ICCA, 2022)

Feasibility Study of Using Predictive LTE Connection Selection from Multi-Operator for Teleoperated Vehicles. - Ahmed Maher Mohamed; Nashwa Abdelbaki; Tamer Arafa (ICCA, 2022)

Unsupervised Anomaly Detection for Throughput Enhancement in Mobile Networks. - Mohamed Adel ElBahaay; Tamer Arafa; Nashwa Abdelbaki (ICCA, 2023)

Localizing Non-functional Code Bugs in User Interfaces Using Deep Learning Techniques. - Arwa Ahmed; Ahmed Tamer Salah; Ghada Khoriba; Tamer Arafa (MEDI, 2023)

Keyed Watermarks: A Fine-grained Tracking of Event-time in Apache Flink. - Tawfik Yasser; Tamer Arafa; Mohamed El-Helw; Ahmed Awad 001 (NILES, 2023)

Community Detection Applications in Mobile Networks: Towards Data-Driven Design for Next Generation Cellular Networks. - Ayman Gaber; Nashwa Abdelbaki; Tamer Arafa (J. Commun. Inf. Networks, 2023)

Automotive Cybersecurity Engineering Standardization and Regulation: An Integrated Model. - Ahmed Adel Mohamed; Heba Aslan; Tamer Arafa (EuroSPI (1), 2024)

Keyed watermarks: A fine-grained watermark generation for Apache Flink. - Tawfik Yasser; Tamer Arafa; Mohamed ElHelw; Ahmed Awad 001 (Future Gener. Comput. Syst., 2025)

Hands-on analysis of using large language models for the auto evaluation of programming assignments. - Kareem Mohamed; Mina Yousef; Walaa Medhat 001; Ensaf Hussein Mohamed; Ghada Khoriba; Tamer Arafa (Inf. Syst., 2025)

BeGrading: large language models for enhanced feedback in programming education. - Mina Yousef; Kareem Mohamed; Walaa Medhat 001; Ensaf Hussein Mohamed; Ghada Khoriba; Tamer Arafa (Neural Comput. Appl., 2025)

Knowledge Graphs: The Future of Data Integration and Insightful Discovery. - Saher Mohamed; Kirollos Farah; Abdelrahman Lotfy; Kareem Rizk; Abdelrahman Saeed; Shahenda Mohamed; Ghada Khouriba; Tamer Arafa (CoRR, 2025)