Gcinizwe Dlamini

19 papers B 1C 2Misc 1Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Systematic Literature Review on Measuring Brain Activity While Reviewing Code and Paintings. IEEE Access Gcinizwe Dlamini, Abu Huraira, Zamira Kholmatova, Andrei Mikriukov, Guzel Safiullina, Giancarlo Succi, Alexander Tormasov
2024	—	`conf`	Preliminary Study: Exploring GitHub Repository Metrics. FICC (1) Guzel Safiullina, Aidar Gumerov, Gcinizwe Dlamini, Giancarlo Succi
2023	J	`jnl`	A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction. CoRR Ch Muhammad Awais, Wei Gu, Gcinizwe Dlamini, Zamira Kholmatova, Giancarlo Succi
2023	—	`conf`	Are CK Metrics Enough to Detect Design Patterns? FICC (2) Gcinizwe Dlamini, Swati Megha, Sirojiddin Komolov
2023	J	`jnl`	Attention and Concentration for Software Developers. IEEE Access Rozaliya Amirova, Gcinizwe Dlamini, Anastasiia Repryntseva, Giancarlo Succi, Herman Tarasau
2023	—	`conf`	Deep Learning Based Approach for Human Intention Estimation in Lower-Back Exoskeleton. FICC (2) Valeriya Zanina, Gcinizwe Dlamini, Vadim Palyonov
2023	Misc	`conf`	Detecting Design Patterns in Android Applications with CodeBERT Embeddings and CK Metrics. AIST Gcinizwe Dlamini, Usman Ahmad, Lionel Randall Kharkrang, Vladimir Ivanov
2023	B	`conf`	Leveraging Transformer and Graph Neural Networks for Variable Misuse Detection. ENASE Vitaly Romanov, Gcinizwe Dlamini, Aidar Valeev, Vladimir Ivanov
2022	—	`conf`	A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction. ISDA (3) Ch Muhammad Awais, Wei Gu, Gcinizwe Dlamini, Zamira Kholmatova, Giancarlo Succi
2022	—	`conf`	Bridging the Domain Gap for Stance Detection for the Zulu Language. IntelliSys (1) Gcinizwe Dlamini, Imad Eddine Ibrahim Bekkouch, Adil Khan, Leon Derczynski
2022	J	`jnl`	Bridging the Domain Gap for Stance Detection for the Zulu language. CoRR Gcinizwe Dlamini, Imad Eddine Ibrahim Bekkouch, Adil Khan, Leon Derczynski
2022	J	`jnl`	Meta-analytical comparison of energy consumed by two sorting algorithms. Inf. Sci. Gcinizwe Dlamini, Firas Jolha, Zamira Kholmatova, Giancarlo Succi
2022	—	`conf`	Metrics for Software Process Quality Assessment in the Late Phases of SDLC. SAI (1) Gcinizwe Dlamini, Shokhista Ergasheva, Zamira Kholmatova, Artem V. Kruglov, Andrey Sadovykh, Giancarlo Succi, Anton Timchenko, Xavier Zelada Vasquez, Evgeny Zouev
2022	—	`conf`	Review: Use of EEG on Measuring Stress Levels When Painting and Programming. ICEIS (2) Nataliya Tupikina, Gcinizwe Dlamini, Giancarlo Succi
2022	J	`jnl`	Towards Predicting Architectural Design Patterns: A Machine Learning Approach. Comput. Sirojiddin Komolov, Gcinizwe Dlamini, Swati Megha, Manuel Mazzara
2022	C	`conf`	Towards understanding the impact of mental states on software development using EEG. AICCSA Gcinizwe Dlamini, Karina Singatullina, Giancarlo Succi
2021	J	`jnl`	DGM: a data generative model to improve minority class presence in anomaly detection domain. Neural Comput. Appl. Gcinizwe Dlamini, Muhammad Fahim
2021	—	`conf`	Using Tools for the Analysis of the Mental Activity of Programmers. BI Rozaliya Amirova, Gcinizwe Dlamini, Vladimir Ivanov, Sergey Masyagin, Aldo Spallone, Giancarlo Succi, Herman Tarasau
2019	C	`conf`	A Lightweight Deep Autoencoder-Based Approach for Unsupervised Anomaly Detection. AICCSA Gcinizwe Dlamini, Rufina Galieva, Muhammad Fahim

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.