Zaid Albataineh

29 papers C 1Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhanced Adaptive Duplexing and Robust Resource Allocation for Decentralized FD-NOMA V2X Systems. IEEE Access Zaid Albataineh, Haythem Bany Salameh, Mohammad Al Bataineh, Mohammed Alsumady
2026	J	`jnl`	Parametric a Priori-Aided Beamspace Channel Tracking for Terahertz Massive MIMO Systems. IEEE Access Zaid Albataineh, Haythem Bany Salameh, Malik Mohamed Umar
2026	J	`jnl`	Reliability-Aware Soft-Decision Beam Training for RIS-Assisted mmWave Systems. IEEE Open J. Commun. Soc. Zaid Albataineh, Haythem Bany Salameh, Mohammad Al Bataineh, Abdallah Ababneh
2026	J	`jnl`	Sector-Aware Delay-Phase Precoding for Wideband THz Massive RIS-Assisted MIMO Systems. IEEE Open J. Commun. Soc. Zaid Albataineh, Haythem Bany Salameh, Mohammad Al Bataineh
2025	J	`jnl`	Adaptive Beam Pairing and Local Interpolation for Robust Analytical Beam Training in RIS-Assisted Wideband THz Systems. IEEE Open J. Commun. Soc. Zaid Albataineh, Haythem Bany Salameh, Mohammad Al Bataineh, Ahmed Musa Alshorman
2025	J	`jnl`	Adaptive machine learning-enhanced channel estimation for RIS-assisted mmWave systems: a hybrid approach. Clust. Comput. Zaid Albataineh, Khaled Farouq Hayajneh, Hazim Shakhatreh, Raed Al-Athamneh, Mohammad Al Bataineh
2025	J	`jnl`	Advanced 5G Channel Estimation in mmWave MIMO Systems: Leveraging Compressive Sensing for Enhanced Performance. IEEE Access Zaid Albataineh, Mohammad Al Bataineh, Khaled Farouq Hayajneh, Raed Al-Athamneh
2025	J	`jnl`	Recurrent Neural Networks for Enhanced Beamspace Channel Estimation in mmWave Massive MIMO Systems. Wirel. Pers. Commun. Zaid Albataineh
2025	J	`jnl`	Two-Stage Power Allocation for IRS-Assisted Downlink NOMA: Intra-Group Optimization and Inter-Group Allocation. IEEE Access Zaid Albataineh, Haythem Bany Salameh, Mohammad Al Bataineh
2024	J	`jnl`	COVID-19 CT-images diagnosis and severity assessment using machine learning algorithm. Clust. Comput. Zaid Albataineh, Fatima Aldrweesh, Mohammad A. Alzubaidi
2024	J	`jnl`	Head Impact Detection Using Machine Learning Algorithms. IEEE Access Mohammad Al Bataineh, Dana I. Abu-Abdoun, Huda Alnuaimi, Zouhair Al-qudah, Zaid Albataineh, Mahmoud Al Ahmad
2023	J	`jnl`	Channel estimation for massive MIMO system using the shannon entropy function. Clust. Comput. Zaid Albataineh, Nebal Al-Zoubi, Ahmed Musa
2023	J	`jnl`	Efficient three-dimensional deployment of multiple unmanned aerial vehicles supporting ground base station toward maximizing served users with heterogeneous quality-of-service requirements. Trans. Emerg. Telecommun. Technol. Khaled Farouq Hayajneh, Ferdos Abualkishik, Khaled Bani-Hani, Hazim Shakhatreh, Zaid Albataineh
2022	J	`jnl`	Decoupling Energy Efficient Approach for Hybrid Precoding-Based mmWave Massive MIMO-NOMA With SWIPT. IEEE Access Ahlam Jawarneh, Michel Kadoch, Zaid Albataineh
2021	J	`jnl`	A RobustICA-based algorithmic system for blind separation of convolutive mixtures. Int. J. Speech Technol. Zaid Albataineh, Fathi M. Salem
2021	J	`jnl`	Low-Complexity Near-Optimal Iterative Signal Detection Based on MSD-CG Method for Uplink Massive MIMO Systems. Wirel. Pers. Commun. Zaid Albataineh
2021	J	`jnl`	Two pairwise iterative schemes for high dimensional blind source separation. Int. J. Speech Technol. Zaid Albataineh, Fathi M. Salem
2019	—	`conf`	Iterative Signal Detection Based on MSD-CG Method for Uplink Massive MIMO Systems. SSD Zaid Albataineh
2018	J	`jnl`	Blind Decoding of Massive MIMO Uplink Systems Based on the Higher Order Cumulants. Wirel. Pers. Commun. Zaid Albataineh
2018	J	`jnl`	Robust blind channel estimation algorithm for linear STBC systems using fourth order cumulant matrices. Telecommun. Syst. Zaid Albataineh
2017	J	`jnl`	Adaptive Blind CDMA Receivers Based on ICA Filtered Structures. Circuits Syst. Signal Process. Zaid Albataineh, Fathi M. Salem
2016	J	`jnl`	A Convex Cauchy-Schwarz DivergenceMeasure for Blind Source Separation. CoRR Zaid Albataineh, Fathi M. Salem
2016	J	`jnl`	Two Pairwise Iterative Schemes For High Dimensional Blind Source Separation. CoRR Zaid Albataineh, Fathi M. Salem
2015	J	`jnl`	Robust Blind Multiuser Detection Algorithm Using Fourth-Order Cumulant Matrices. Circuits Syst. Signal Process. Zaid Albataineh, Fathi M. Salem
2014	J	`jnl`	A Blind Adaptive CDMA Receiver Based on State Space Structures. CoRR Zaid Albataineh, Fathi M. Salem
2014	J	`jnl`	A RobustICA Based Algorithm for Blind Separation of Convolutive Mixtures. CoRR Zaid Albataineh, Fathi M. Salem
2014	—	`conf`	Blind multiuser detection based on the fast relative newton algorithm. WTS Zaid Albataineh, Fathi M. Salem
2014	J	`jnl`	Convex Cauchy Schwarz Independent Component Analysis for Blind Source Separation. CoRR Zaid Albataineh, Fathi M. Salem
2013	C	`conf`	New blind multiuser detection DS-CDMA algorithm using simplified fourth order cumulant matrices. ISCAS Zaid Albataineh, Fathi M. Salem

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.