Uzoma Rita Alo

13 papers Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of cyber threat intelligence in embedded system driven security for mobile health systems. J. Cloud Comput. Anayo Chukwu Ikegwu, Jasmine Chifurumnanya Nnabue, Annastasia Shako Kinse, Uzoma Rita Alo
2025	J	`jnl`	Cyber threats in mobile healthcare applications: systematic review of enabling technologies, threat models, detection approaches, and future directions. Discov. Comput. Anayo Chukwu Ikegwu, Uzoma Rita Alo, Henry Friday Nweke
2024	J	`jnl`	Recently emerging trends in big data analytic methods for modeling and combating climate change effects. Energy Inform. Anayo Chukwu Ikegwu, Henry Friday Nweke, Emmanuel O. C. Mkpojiogu, Chioma Virginia Anikwe, Sylvester Agbo Igwe, Uzoma Rita Alo
2023	—	`conf`	Webussd Care: a Multi-Tenant USSD based Application for Improving Protected Health Information Exchange. ICSIM Michael Sunday Julius, Sylvanus Olufemi Ige, Guzorochi Chimdire Abanobi, Uzoma Rita Alo, Fergus Uchenna Onu, Kingsley M. Okorie
2022	J	`jnl`	Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions. Clust. Comput. Anayo Chukwu Ikegwu, Henry Friday Nweke, Chioma Virginia Anikwe, Uzoma Rita Alo, Obikwelu Raphael Okonkwo
2022	—	`conf`	CloudPES: Cloud Portal of Educational Services for Higher Education Institutions in Nigeria. ICEEL Uzoma Rita Alo, Michael Sunday Julius, Fergus Uchenna Onu, Henry Anayo Okemiri, Nneka Richard-Nnabu, Kingsley M. Okorie
2022	J	`jnl`	Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect. Expert Syst. Appl. Chioma Virginia Anikwe, Henry Friday Nweke, Anayo Chukwu Ikegwu, Chukwunonso Adolphus Egwuonwu, Fergus Uchenna Onu, Uzoma Rita Alo, Ying Wah Teh
2022	J	`jnl`	Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions. Sensors Uzoma Rita Alo, Friday Onwe Nkwo, Henry Friday Nweke, Ifeanyi Isaiah Achi, Henry Anayo Okemiri
2021	—	`conf`	Machine Learning Framework to Predict Patient Non-Adherence to Medication using Non-Clinical Data: A Prognosis Approach. ICCCM Michael Sunday Julius, Uzoma Rita Alo, Fergus Uchenna Onu, Chinyere Ihuoma Akobundu
2020	J	`jnl`	Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System. Sensors Uzoma Rita Alo, Henry Friday Nweke, Ying Wah Teh, Ghulam Murtaza
2019	J	`jnl`	Multi-sensor fusion based on multiple classifier systems for human activity identification. Hum. centric Comput. Inf. Sci. Henry Friday Nweke, Ying Wah Teh, Ghulam Mujtaba, Uzoma Rita Alo, Mohammed Ali Al-Garadi
2018	—	`conf`	Analysis of Multi-Sensor Fusion for Mobile and Wearable Sensor Based Human Activity Recognition. ICDPA Henry Friday Nweke, Ying Wah Teh, Uzoma Rita Alo, Ghulam Mujtaba
2018	J	`jnl`	Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges. Expert Syst. Appl. Henry Friday Nweke, Ying Wah Teh, Mohammed Ali Al-Garadi, Uzoma Rita Alo

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.