Zahraa Said Abdallah

13 papers B 1C 2Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Stratify: Unifying Multi-Step Forecasting Strategies. CoRR Riku Green, Grant Stevens, Zahraa Said Abdallah, Telmo de Menezes e Silva Filho
2018	J	`jnl`	Activity Recognition with Evolving Data Streams: A Review. ACM Comput. Surv. Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2018	J	`jnl`	Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment. CoRR Md Mohaimenuzzaman, Zahraa Said Abdallah, Joarder Kamruzzaman, Bala Srinivasan
2017	—	`ch.`	Data Preparation. Encyclopedia of Machine Learning and Data Mining Zahraa Said Abdallah, Lan Du, Geoffrey I. Webb
2017	J	`jnl`	Multi-domain evaluation framework for named entity recognition tools. Comput. Speech Lang. Zahraa Said Abdallah, Mark James Carman, Gholamreza Haffari
2016	J	`jnl`	AnyNovel: detection of novel concepts in evolving data streams. Evol. Syst. Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2015	J	`jnl`	Adaptive mobile activity recognition system with evolving data streams. Neurocomputing Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2015	J	`jnl`	Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments. IEEE Trans. Comput. Soc. Syst. Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky
2014	C	`conf`	CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog. ADBIS Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky
2012	—	`conf`	CBARS: Cluster Based Classification for Activity Recognition Systems. AMLTA Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2012	B	`conf`	StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition. ICTAI Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy
2012	—	`conf`	Where Have You Been? Using Location Clustering and Context Awareness to Understand Places of Interest. NEW2AN Andrey Boytsov, Arkady B. Zaslavsky, Zahraa Said Abdallah
2011	C	`conf`	KB-CB-N classification: Towards unsupervised approach for supervised learning. CIDM Zahraa Said Abdallah, Mohamed Medhat Gaber

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.