Rabiu Muazu Musa

13 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analyzing fish detection and classification in IoT-based aquatic ecosystems through deep learning. PeerJ Comput. Sci. Mohd Izzat Mohd Rahman, Amir FakarulIsroq Abdul Razak, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Azaini Aizat Abdul Jalil, Ismail Mohd Khairuddin, Muhammad Amirul Abdullah, Mohd Azraai Mohd Razman
2024	J	`jnl`	Development of Anthro-Fitness Model for Evaluating Firefighter Recruits' Performance Readiness Using Machine Learning. Int. J. Comput. Sci. Sport Borhanudin Mohd Yusof Mohamed, Rabiu Muazu Musa, Mohamad Nizam Nazarudin, Anwar P. P. Abdul Majeed, Naresh Bhaskar Raj, Mohd Azraai Mohd Razman
2022	—	`book`	Data Mining and Machine Learning in High-Performance Sport - Performance Analysis of On-field and Video Assistant Referees in European Soccer Leagues Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah, Garry Kuan, Mohd Azraai Mohd Razman
2022	J	`jnl`	Human activity recognition based on wrist PPG via the ensemble method. ICT Express Omair Rashed Abdulwareth Almanifi, Ismail Mohd Khairuddin, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Anwar P. P. Abdul Majeed
2021	J	`jnl`	A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework. PeerJ Comput. Sci. Bifta Sama Bari, Md Nahidul Islam, Mamunur Rashid, Md Jahid Hasan, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Anwar P. P. Abdul Majeed
2021	—	`conf`	The Diagnosis of Diabetic Retinopathy: An Evaluation of Different Classifiers with the Inception V3 Model as a Feature Extractor. RiTA Farhan Nabil Mohd Noor, Wan Hasbullah Mohd Isa, Ismail Mohd Khairuddin, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Anwar P. P. Abdul Majeed
2021	J	`jnl`	The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline. ICT Express Jothi Letchumy Mahendra Kumar, Mamunur Rashid, Rabiu Muazu Musa, Mohd Azraai Mohd Razman, Norizam Sulaiman, Rozita Jailani, Anwar P. P. Abdul Majeed
2021	J	`jnl`	The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN. PeerJ Comput. Sci. Mamunur Rashid, Bifta Sama Bari, Md Jahid Hasan, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Anwar P. P. Abdul Majeed
2021	J	`jnl`	The classification of skateboarding tricks PeerJ Comput. Sci. Muhammad Amirul Abdullah, Muhammad Ar Rahim Ibrahim, Muhammad Nur Aiman Shapiee, Muhammad Aizzat Bin Zakaria, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Noor Azuan Abu Osman, Anwar P. P. Abdul Majeed
2020	J	`jnl`	Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review. Frontiers Neurorobotics Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Bifta Sama Bari, Sabira Khatun
2019	J	`jnl`	Hunger classification of Comput. Electron. Agric. Mohd Azraai Mohd Razman, Gian Antonio Susto, Angelo Cenedese, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Ahmad Shahrizan Abdul Ghani, Faeiz Azizi Adnan, Khairul Muttaqin Ismail, Zahari Taha, Yukinori Mukai
2018	—	`conf`	Match Outcomes Prediction of Six Top English Premier League Clubs via Machine Learning Technique. RiTA Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Mohd Azraai Mohd Razman, Mohd Ali Hanafiah Shaharudin
2018	—	`conf`	The Identification of Oreochromis niloticus Feeding Behaviour Through the Integration of Photoelectric Sensor and Logistic Regression Classifier. RiTA Mohamad Radzi Mohd Sojak, Mohd Azraai Mohd Razman, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Ahmad Shahrizan Abdul Ghani, Ismed Iskandar

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.