Abdelrahman Ahmed

18 papers B 3Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Data-driven subjective performance evaluation: An attentive deep neural networks model based on a call centre case. Ann. Oper. Res. Abdelrahman Ahmed, Uthayasankar Sivarajah, Zahir Irani, Kamran Mahroof, Vincent Charles
2022	J	`jnl`	Continual few-shot learning with Hippocampal-inspired replay. CoRR Gideon Kowadlo, Abdelrahman Ahmed, Amir Mayan, David Rawlinson
2022	—	`—`	Productivity Measurement of Call Centre Agents using a Multimodal Classification Approach. Abdelrahman Ahmed
2021	J	`jnl`	A Multimodal Approach to Improve Performance Evaluation of Call Center Agent. Sensors Abdelrahman Ahmed, Khaled Shaalan, Sergio Toral, Yasser Hifny
2021	B	`conf`	Learning distant cause and effect using only local and immediate credit assignment. IJCNN David Rawlinson, Abdelrahman Ahmed, Gideon Kowadlo
2021	B	`conf`	One-shot learning for the long term: consolidation with an artificial hippocampal algorithm. IJCNN Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
2021	J	`jnl`	One-shot learning for the long term: consolidation with an artificial hippocampal algorithm. CoRR Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
2020	J	`jnl`	Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks. Sensors Abdelrahman Ahmed, Sergio Toral, Khaled Shaalan, Yasser Hifny
2020	—	`conf`	Unsupervised One-Shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture. Australasian Conference on Artificial Intelligence Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
2020	J	`jnl`	Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture. CoRR Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
2019	J	`jnl`	AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning. CoRR Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
2019	J	`jnl`	Learning distant cause and effect using only local and immediate credit assignment. CoRR David Rawlinson, Abdelrahman Ahmed, Gideon Kowadlo
2018	J	`jnl`	Sparse Unsupervised Capsules Generalize Better. CoRR David Rawlinson, Abdelrahman Ahmed, Gideon Kowadlo
2017	—	`conf`	Effect of Denoising Algorithms on Video Stabilization. CRV Abdelrahman Ahmed, Mohamed S. Shehata
2016	—	`conf`	Agent Productivity Measurement in Call Center Using Machine Learning. AISI Abdelrahman Ahmed, Sergio Toral, Khaled Shaalan
2016	—	`conf`	Lexicon Free Arabic Speech Recognition Recipe. AISI Abdelrahman Ahmed, Yasser Hifny, Khaled Shaalan, Sergio Toral
2016	B	`conf`	StableFlow: A novel real-time method for digital video stabilization. ICPR Abdelrahman Ahmed, Mohamed S. Shehata
2016	—	`conf`	Towards High-Quality Parallel Stabilization. VISIGRAPP (3: VISAPP) Abdelrahman Ahmed, Mohamed S. Shehata

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.