Adnan Mohsin Abdulazeez

14 papers C 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-Objective Giant Trevally Optimizer with Feasibility-Aware Archiving for Constrained Optimization. Algorithms Nashwan Hussein, Adnan Mohsin Abdulazeez
2023	J	`jnl`	A blind and robust color image watermarking scheme based on DCT and DWT domains. Multim. Tools Appl. Abdulhakeem O. Mohammed, Haval Ismael Hussein, Ramadhan J. Mstafa, Adnan Mohsin Abdulazeez
2023	J	`jnl`	Metaheuristics: A Review of Algorithms. Int. J. Online Biomed. Eng. Haval Tariq Sadeeq, Adnan Mohsin Abdulazeez
2022	J	`jnl`	Giant Trevally Optimizer (GTO): A Novel Metaheuristic Algorithm for Global Optimization and Challenging Engineering Problems. IEEE Access Haval Tariq Sadeeq, Adnan Mohsin Abdulazeez
2021	—	`conf`	An Efficient Robust Color Watermarking Algorithm Based on DWT, DCT, BFO and Implementation. ICSET Omer Mohammed Salih Hassan, Adnan Mohsin Abdulazeez, Arman Ismael Mohammed, Sardar Omer Salih, Sarbast Husien Alih, Falah Y. H. Ahmed, Diyar Qader Zeebaree
2021	J	`jnl`	Fog Computing Based on Machine Learning: A Review. Int. J. Interact. Mob. Technol. Fady Esmat Fathel Samann, Adnan Mohsin Abdulazeez, Shavan K. Askar
2021	J	`jnl`	Leaf Identification Based on Shape, Color, Texture and Vines Using Probabilistic Neural Network. Computación y Sistemas Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Asaad Zebari, Thamer Hassan Hameed
2021	—	`conf`	Machine Learning Semi-Supervised Algorithms for Gene Selection: A Review. ICSET Diyar Qader Zeebaree, Dathar Abas Hasan, Adnan Mohsin Abdulazeez, Falah Y. H. Ahmed, Ramadan T. Hasan
2021	J	`jnl`	Mobile Ad Hoc Network in Disaster Area Network Scenario: A Review on Routing Protocols. Int. J. Online Biomed. Eng. Zhiyan A. Younis, Adnan Mohsin Abdulazeez, Subhi R. M. Zeebaree, Rizgar Ramadhan Zebari, Diyar Qader Zeebaree
2020	J	`jnl`	Comparison of VPN Protocols at Network Layer Focusing on Wire Guard Protocol. Int. J. Interact. Mob. Technol. Adnan Mohsin Abdulazeez, Baraa Wasfi Salim, Diyar Qader Zeebaree, Dana Doghramachi
2020	J	`jnl`	Improved Threshold Based and Trainable Fully Automated Segmentation for Breast Cancer Boundary and Pectoral Muscle in Mammogram Images. IEEE Access Dilovan Asaad Zebari, Diyar Qader Zeebaree, Adnan Mohsin Abdulazeez, Habibollah Haron, Haza Nuzly Abdull Hamed
2020	J	`jnl`	Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio. Int. J. Interact. Mob. Technol. Faiq A. Mohammed Bargarai, Adnan Mohsin Abdulazeez, Volkan Müjdat Tiryaki, Diyar Qader Zeebaree
2018	C	`conf`	Mathematical Model of Master Production Schedule for Kalak Refinery Plant. SoMeT Shereen S. Sadiq, Adnan Mohsin Abdulazeez, Habibollah Haron
2017	—	`conf`	Evaluation of Partitioning Around Medoids Algorithm with Various Distances on Microarray Data. iThings/GreenCom/CPSCom/SmartData Nwayyin Najat Mohammed, Adnan Mohsin Abdulazeez

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.