Ebenezer Agbozo

15 papers Journal 6Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Sustainable AI for plant disease classification using ResNet18 in few-shot learning. Array Fareeha Naveed, Adven Masih, Jabar Mahmood, Moeez Ahmed, Aitizaz Ali, Aysha Saddiqa, Mohamed Shabbir Hamza Abdulnabi, Ebenezer Agbozo
2024	J	`jnl`	Liver Disease Classification - An XAI Approach to Biomedical AI. Informatica (Slovenia) Ebenezer Agbozo, Daniel Musafiri Balungu
2023	J	`jnl`	A Hybrid Data-Driven Web-Based UI-UX Assessment Model. CoRR Ebenezer Agbozo
2023	—	`conf`	Using Computational Knowledge Extraction Approach to Assess Three Decades of Health Management Information Systems for Informed Actions. EMCIS (1) Josué Kuika Watat, Ebenezer Agbozo
2022	—	`conf`	The State of Health Information Systems Research in Africa: A Scoping Review. TDIT Josué Kuika Watat, Ebenezer Agbozo
2021	—	`conf`	Brain Tumor Detection in MRI Images Using Image Processing Techniques. ISAMSR Antor Mahamudul Hashan, Ebenezer Agbozo, Adnan Adhab K. Al-Saeedi, Srishti Saha, Abdullah Haidari, Mohammad Naser Fazel Rabi
2021	—	`conf`	Health is Wealth: A Conceptual Overview of Virtual Healthcare & Future Research Directions [1995-2021]. EMCIS Josué Kuika Watat, Ebenezer Agbozo, Sunday Adewale Olaleye, Gideon Mekonnen Jonathan
2021	J	`jnl`	Utility of Large-Scale Recipe Data in Food Computing. Balt. J. Mod. Comput. Maija Kale, Ebenezer Agbozo
2020	—	`conf`	Healthy Food Depiction on Social Media: The Case of Kale on Twitter. DHN Post-Proceedings Maija Kale, Ebenezer Agbozo
2020	—	`conf`	Tracing Complexity in Food Blogging Entries. DHN Maija Kale, Ebenezer Agbozo
2020	J	`jnl`	Tracing Complexity in Food Blogging Entries. CoRR Maija Kale, Ebenezer Agbozo
2019	—	`conf`	The Private Sector as an E-Government Enabler. ICEGOV Ebenezer Agbozo
2018	—	`conf`	Establishing Efficient Governance through Data-Driven e-Government. ICEGOV Ebenezer Agbozo, Kamen Spassov
2018	J	`jnl`	Evaluating Metropolitan Assembly Web Sites in Ghana: Accessibility, Compatibility and Usability. Webology Ebenezer Agbozo, Kamen Spassov
2018	—	`conf`	Personal Data and Privacy Barriers to E-Government Adoption, Implementation and Development in Sub-Saharan Africa. EGOSE Ebenezer Agbozo, Daniel Alhassan, Kamen Spassov

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.