Zeinab Shahbazi

21 papers Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Real-Time Utility Assessment of Privacy-Anonymized Data: A Cross-Domain Framework for Smart Cities. IEEE Access Zeinab Shahbazi, Sadiqa Jafari, Zahra Shahbazi, Magnus Johnsson
2025	J	`jnl`	AI-Based Phishing Detection and Student Cybersecurity Awareness in the Digital Age. Big Data Cogn. Comput. Zeinab Shahbazi, Rezvan Jalali, Maryam Molaeevand
2025	J	`jnl`	AI-Driven Framework for Evaluating Climate Misinformation and Data Quality on Social Media. Future Internet Zeinab Shahbazi, Rezvan Jalali, Zahra Shahbazi
2025	J	`jnl`	Enhancing Recommendation Systems with Real-Time Adaptive Learning and Multi-Domain Knowledge Graphs. Big Data Cogn. Comput. Zeinab Shahbazi, Rezvan Jalali, Zahra Shahbazi
2025	—	`conf`	Incentive Mechanism Design Based on Blockchain and Federated Learning for Honest Participation. BCCA Zeinab Shahbazi, Magnus Johnsson
2025	J	`jnl`	Using Large Language Models to Detect and Debunk Climate Change Misinformation. Big Data Cogn. Comput. Zeinab Shahbazi, Sara Behnamian
2024	J	`jnl`	Enhancing Air Quality Forecasting Using Machine Learning Techniques. IEEE Access Zeinab Shahbazi, Zahra Shahbazi, Slawomir Nowaczyk
2022	J	`jnl`	A new method for detecting various variants of GoF design patterns using conceptual signatures. Softw. Qual. J. Zeinab Shahbazi, Abbas Rasoolzadegan, Zahra Purfallah, Somayeh Jafari Horestani
2022	J	`jnl`	Analysis of the Security and Reliability of Cryptocurrency Systems Using Knowledge Discovery and Machine Learning Methods. Sensors Zeinab Shahbazi, Yung-Cheol Byun
2022	J	`jnl`	Blockchain-Based Event Detection and Trust Verification Using Natural Language Processing and Machine Learning. IEEE Access Zeinab Shahbazi, Yung-Cheol Byun
2022	J	`jnl`	Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines. Sensors Zeinab Shahbazi, Yung-Cheol Byun
2022	J	`jnl`	Machine Learning-Based Analysis of Cryptocurrency Market Financial Risk Management. IEEE Access Zeinab Shahbazi, Yung-Cheol Byun
2021	J	`jnl`	A Framework of Vehicular Security and Demand Service Prediction Based on Data Analysis Integrated with Blockchain Approach. Sensors Zeinab Shahbazi, Yung-Cheol Byun
2021	J	`jnl`	Fake Media Detection Based on Natural Language Processing and Blockchain Approaches. IEEE Access Zeinab Shahbazi, Yung-Cheol Byun
2021	J	`jnl`	Improving the Cryptocurrency Price Prediction Performance Based on Reinforcement Learning. IEEE Access Zeinab Shahbazi, Yung-Cheol Byun
2021	J	`jnl`	Integration of Blockchain, IoT and Machine Learning for Multistage Quality Control and Enhancing Security in Smart Manufacturing. Sensors Zeinab Shahbazi, Yung-Cheol Byun
2021	J	`jnl`	Topic prediction and knowledge discovery based on integrated topic modeling and deep neural networks approaches. J. Intell. Fuzzy Syst. Zeinab Shahbazi, Yung-Cheol Byun
2020	J	`jnl`	Topic modeling in short-text using non-negative matrix factorization based on deep reinforcement learning. J. Intell. Fuzzy Syst. Zeinab Shahbazi, Yung-Cheol Byun
2020	J	`jnl`	Toward Improving the Prediction Accuracy of Product Recommendation System Using Extreme Gradient Boosting and Encoding Approaches. Symmetry Zeinab Shahbazi, Debapriya Hazra, SeJoon Park, Yung Cheol Byun
2020	J	`jnl`	Toward Social Media Content Recommendation Integrated with Data Science and Machine Learning Approach for E-Learners. Symmetry Zeinab Shahbazi, Yung Cheol Byun
2020	J	`jnl`	Towards a Secure Thermal-Energy Aware Routing Protocol in Wireless Body Area Network Based on Blockchain Technology. Sensors Zeinab Shahbazi, Yung-Cheol Byun

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.