Fathy Elbouraey Eassa

18 papers C 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning. IEEE Access Amani Saad Althiban, Hajar M. Alharbi, Lama A. Al Khuzayem, Fathy Elbouraey Eassa
2025	J	`jnl`	Code Clone Detection Techniques Based on Large Language Models. IEEE Access Afnan A. Almatrafi, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf
2025	J	`jnl`	Error Classification and Static Detection Methods in Tri-Programming Models: MPI, OpenMP, and CUDA. Comput. Saeed Musaad Altalhi, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Ahmed Mohammed Alghamdi, Khalid Ali Almarhabi, Rana Ahmad Bilal Khalid
2025	J	`jnl`	Temporal-Logic-Based Testing Tool for Programs Using the Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Programming Models. IEEE Access Salwa Saad, Etimad A. Fadel, Ohoud Alzamzami, Fathy Elbouraey Eassa, Ahmed Mohammed Alghamdi
2024	J	`jnl`	A Proposal for a Tokenized Intelligent System: A Prediction for an AI-Based Scheduling, Secured Using Blockchain. Syst. Osama Younis, Kamal Mansur Jambi, Fathy Elbouraey Eassa, Lamiaa A. Elrefaei
2023	J	`jnl`	Deep Reinforcement Learning for Workload Prediction in Federated Cloud Environments. Sensors Zaakki Ahamed, Maher Khemakhem, Fathy Elbouraey Eassa, Fawaz Alsolami, Abdullah Basuhail, Kamal Mansur Jambi
2023	J	`jnl`	Ensemble Model Based on Hybrid Deep Learning for Intrusion Detection in Smart Grid Networks. Sensors Ulaa AlHaddad, Abdullah Basuhail, Maher Khemakhem, Fathy Elbouraey Eassa, Kamal Mansur Jambi
2023	J	`jnl`	Nature-Based Prediction Model of Bug Reports Based on Ensemble Machine Learning Model. IEEE Access Shatha Abed Alsaedi, Amin Y. Noaman, Ahmed A. A. Gad-ElRab, Fathy Elbouraey Eassa
2023	J	`jnl`	Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning. IEEE Access Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed
2022	J	`jnl`	Ensemble Deep Learning Models for Mitigating DDoS Attack in Software-Defined Network. Intell. Autom. Soft Comput. Fatmah Alanazi, Kamal Mansur Jambi, Fathy Elbouraey Eassa, Maher Khemakhem, Abdullah Basuhail, Khalid Alsubhi
2022	J	`jnl`	Errors Classification and Static Detection Techniques for Dual-Programming Model (OpenMP and OpenACC). IEEE Access Huda Saleh Basloom, Mohamed Yehia Dahab, Ahmed Mohammed Alghamdi, Fathy Elbouraey Eassa, Abdullah Saad Al-Malaise Al-Ghamdi, Seif Haridi
2020	J	`jnl`	A Smart Home System based on Internet of Things. CoRR Rihab Fahd Al-Mutawa, Fathy Elbouraey Eassa
2020	J	`jnl`	ACC_TEST: Hybrid Testing Approach for OpenACC-Based Programs. IEEE Access Fathy Elbouraey Eassa, Ahmed Mohammed Alghamdi, Seif Haridi, Maher Khemakhem, Abdullah S. Al-Malaise Al-Ghamdi, Eesa A. Alsolami
2020	J	`jnl`	ACC_TEST: Hybrid Testing Techniques for MPI-Based Programs. IEEE Access Abdullah Al-Malaise Al-Ghamdi, Ahmed Mohammed Alghamdi, Fathy Elbouraey Eassa, Maher Khemakhem
2020	J	`jnl`	Blockchain Platforms and Access Control Classification for IoT Systems. Symmetry Adam Ibrahim Abdi, Fathy Elbouraey Eassa, Kamal Mansur Jambi, Khalid Ali Almarhabi, Abdullah Saad Al-Malaise Al-Ghamdi
2020	J	`jnl`	Parallel Hybrid Testing Techniques for the Dual-Programming Models-Based Programs. Symmetry Ahmed Mohammed Alghamdi, Fathy Elbouraey Eassa, Maher Ali Khamakhem, Abdullah Saad Al-Malaise Al-Ghamdi, Ahmed S. Alfakeeh, Abdullah S. Alshahrani, Ala Abdulsalam Alarood
2019	J	`jnl`	OpenACC Errors Classification and Static Detection Techniques. IEEE Access Ahmed Mohammed Alghamdi, Fathy Elbouraey Eassa
2017	C	`conf`	An Open Tool Architecture for Security Testing of NoSQL-Based Applications. AICCSA Abdullah M. Algarni, Fawaz Alsolami, Fathy Elbouraey Eassa, Khalid Alsubhi, Kamal Mansur Jambi, Maher Khemakhem

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.