Abayomi O. Agbeyangi

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adoption of AI-enabled mental health wearables in India: The roles of psychological assurance and algorithmic credibility. Comput. Hum. Behav. Artif. Humans Sweeta Agrawal, Abayomi O. Agbeyangi
2026	J	`jnl`	Automatic Malaria Parasite Detection Using Machine Learning and Image Classification. Adv. Artif. Intell. Mach. Learn. Ibukun Eweoya, Abayomi O. Agbeyangi, Jose Manappattukunnel Lukose
2026	J	`jnl`	Text Detoxification in isiXhosa and Yorùbá: A Cross-Lingual Machine Learning Approach for Low-Resource African Languages. CoRR Abayomi O. Agbeyangi
2025	J	`jnl`	Is social media hindering or helping Academic Performance? A case study of Walter Sisulu University Buffalo City Campus. CoRR Jose Manappattukunnel Lukose, Abayomi O. Agbeyangi
2024	J	`jnl`	Advances and Challenges in Low-Resource-Environment Software Systems: A Survey. Informatics Abayomi O. Agbeyangi, Hussein Suleman
2024	J	`jnl`	Blockchain in Healthcare: Implementing Hyperledger Fabric for Electronic Health Records at Frere Provincial Hospital. CoRR Abayomi O. Agbeyangi, Olukayode Ayodele Oki, Aphelele Mgidi
2024	J	`jnl`	Enhancing ICT Literacy and Sustainable Practices in the Hospitality Industry: Insights from Mnquma Municipality. CoRR Jose Manappattukunnel Lukose, Abayomi O. Agbeyangi
2024	J	`jnl`	Impact and Necessity of ICT Adoption in Agriculture: Insights from Regression Analysis. Adv. Artif. Intell. Mach. Learn. Olukayode Ayodele Oki, Abayomi O. Agbeyangi
2024	J	`jnl`	IsiXhosa in the Digital Age: Navigating Language Preservation and Innovation: A Systematic Scoping Review. IEEE Access Abayomi O. Agbeyangi, Nobert Rangarirai Jere
2024	J	`jnl`	Nigeria's ICT and Economic Sustainability in the Digital Age. CoRR Abayomi O. Agbeyangi, Ayodeji Samuel Makinde, Isaac Odun-Ayo
2023	J	`jnl`	Electronic Docket Adoption in Rural Police Stations: A Case of the Amatole District Municipality. J. Cases Inf. Technol. Abayomi O. Agbeyangi, Jose Manappattukunnel Lukose
2022	J	`jnl`	A Method of Selecting Computer Science Students for the IT Market Based on their Predispositions Resulting from Multiple Intelligence. Informatics Educ. Antoni Wilinski, Mariia A. Skulysh, Arti M. K., Irena Bach-Dabrowska, Abayomi O. Agbeyangi, Hina Zahra, Hubert Krason, Jolanta Dobska, Lukasz Kupracz
2021	J	`jnl`	Predicting Mobile Portability Across Telecommunication Networks Using the Integrated-KLR. Int. J. Intell. Inf. Technol. Ayodeji Samuel Makinde, Abayomi O. Agbeyangi, Wilson Nwankwo

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.