Abdelrahim Kasem Ahmad

11 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Anomaly detection in offshore open radio access network using long short-term memory models on a novel artificial intelligence-driven cloud-native data platform. Eng. Appl. Artif. Intell. Abdelrahim Kasem Ahmad, Peizheng Li, Robert J. Piechocki, Rui Inacio
2024	J	`jnl`	Anomaly Detection in Offshore Open Radio Access Network Using Long Short-Term Memory Models on a Novel Artificial Intelligence-Driven Cloud-Native Data Platform. CoRR Abdelrahim Kasem Ahmad, Peizheng Li, Robert J. Piechocki, Rui Inacio
2022	—	`conf`	Federated Meta-Learning for Traffic Steering in O-RAN. VTC Fall Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert J. Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Kasem Ahmad, Keith Briggs, Shipra Kapoor
2022	J	`jnl`	Federated Meta-Learning for Traffic Steering in O-RAN. CoRR Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert J. Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Kasem Ahmad, Keith Briggs, Shipra Kapoor
2022	J	`jnl`	RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN. IEEE Access Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
2022	J	`jnl`	Sim2real for Reinforcement Learning Driven Next Generation Networks. CoRR Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
2022	—	`conf`	Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning. VTC Fall Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert J. Piechocki, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh
2022	J	`jnl`	Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning. CoRR Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert J. Piechocki, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh
2021	J	`jnl`	RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN. CoRR Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
2019	J	`jnl`	Customer churn prediction in telecom using machine learning and social network analysis in big data platform. CoRR Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa
2019	J	`jnl`	Customer churn prediction in telecom using machine learning in big data platform. J. Big Data Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.