Omar Alghushairy

11 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepPFT-GANCap: An explainable attention-based hybrid deep learning framework integrating protein language models and wavelet denoising-based evolutionary features for photosystem-II core protein prediction. Ecol. Informatics Wajdi Alghamdi, Farman Ali, Abdulmohsen Algarni, Omar Alghushairy, Majdi Khalid, Meng-Ze Du
2026	J	`jnl`	Significance of unifying semi and self-supervision for the radical improvement of medical imaging: a collaborative research effort. Biomed. Signal Process. Control. Tahir Abbas, Manal Linjawi, Imran Iqbal, Omar Alghushairy, Raed Alsini, Ali Daud
2025	J	`jnl`	Enhancing Android Malware Detection with XGBoost and Convolutional Neural Networks. Comput. Mater. Continua Atif Raza Zaidi, Tahir Abbas, Ali Daud, Omar Alghushairy, Hussain Dawood, Nadeem Sarwar
2025	J	`jnl`	Enhancing Software Engineering With AI: Innovations, Challenges, and Future Directions. IET Softw. Tahir Abbas, Shujaat Ali Rathore, Amira Turki, Sunawar Khan, Omar Alghushairy, Ali Daud
2024	J	`jnl`	An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System. IEEE Access Omar Alghushairy, Raed Alsini, Zakhriya Alhassan, Abdulrahman A. Alshdadi, Ameen Banjar, Ayman Yafoz, Xiaogang Ma
2024	J	`jnl`	Enhancing Security in IoT-Assisted UAV Networks Using Adaptive Mongoose Optimization Algorithm With Deep Learning. IEEE Access Saud S. Alotaibi, Ahmed Sayed, Elmouez Samir Abd Elhameed, Omar Alghushairy, Mohammed Assiri, Sara Saadeldeen Ibrahim
2024	J	`jnl`	Optimizing the Over and Underutilization of Network Resources During Peak and Off-Peak Hours. IEEE Access Afzal Badshah, Ali Daud, Hikmat Ullah Khan, Omar Alghushairy, Amal Bukhari
2022	J	`jnl`	Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images. Remote. Sens. Mesfer Al Duhayyim, Areej Malibari, Abdullah Alharbi, Kallekh Afef, Ayman Yafoz, Raed Alsini, Omar Alghushairy, Heba Mohsen
2022	J	`jnl`	Wavelet Mutation with Aquila Optimization-Based Routing Protocol for Energy-Aware Wireless Communication. Sensors Someah Alangari, Marwa Ismael Obayya, Abdulbaset Gaddah, Ayman Yafoz, Raed Alsini, Omar Alghushairy, Ahmed Ashour, Abdelwahed Motwakel
2021	J	`jnl`	A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams. Big Data Cogn. Comput. Omar Alghushairy, Raed Alsini, Terence Soule, Xiaogang Ma
2020	—	`conf`	A Genetic-Based Incremental Local Outlier Factor Algorithm for Efficient Data Stream Processing. ICCDA Omar Alghushairy, Raed Alsini, Xiaogang Ma, Terence Soule

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.