Belal H. Sababha

12 papers Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IntNet: Lightweight yet high-performance deep learning system for intuitive radar patterns analysis and human fall detection. Comput. Biol. Medicine Malek Y. Almallah, Belal H. Sababha
2025	J	`jnl`	Project-Based Learning to Enhance the Teaching of Control Systems: Integrating Embedded Systems and Signal Processing. Int. J. Online Biomed. Eng. Yazan A. Alqudah, Belal H. Sababha
2021	J	`jnl`	Machine Learning to Classify Driving Events Using Mobile Phone Sensors Data. Int. J. Interact. Mob. Technol. Yazan A. Alqudah, Belal H. Sababha, Esam A. Al Qaralleh, Tarek Yousseff
2020	J	`jnl`	A CAD-Based tool for fault tolerant distributed embedded systems. CoRR Mahmoud I. Banat, Belal H. Sababha, Sami Al-Hamdan
2019	J	`jnl`	A video-based object detection and tracking system for weight sensitive UAVs. Multim. Tools Appl. Karam M. Abughalieh, Belal H. Sababha, Nathir A. Rawashdeh
2019	J	`jnl`	On the design and implementation of a dual fisheye camera-based surveillance vision system. Multim. Tools Appl. Raghad Al-Harasis, Belal H. Sababha
2018	J	`jnl`	A Reconfiguration-Based Fault-Tolerant Anti-Lock Brake-by-Wire System. ACM Trans. Embed. Comput. Syst. Belal H. Sababha, Yazan A. Alqudah
2018	—	`conf`	Coded Rumble Strips to Enhance Reliability of Autonomous Vehicles. EIT Yazan A. Alqudah, Belal H. Sababha
2018	—	`conf`	Recongfigurable Hardware-Friendly Early Termination Mechanism in Motion Estimation for HEVC. EUSPN/ICTH Esam A. AlQaralleh, Yazan A. Alqudah, Belal H. Sababha
2016	—	`conf`	On the validation of path loss models based on field measurements using 800 MHz LTE network. SysCon Yazan A. Alqudah, Belal H. Sababha, Ayman Elnashar, Sohaib H. Sababha
2015	J	`jnl`	A rotor-tilt-free tricopter UAV: design, modelling, and stability control. Int. J. Mechatronics Autom. Belal H. Sababha, Hamzeh M. Al Zu'bi, Osamah A. Rawashdeh
2015	—	`conf`	Hardware efficient early termination mechanism in motion estimation for H.264 AVC. DICTAP Esam A. AlQaralleh, Yazan A. Alqudah, Belal H. Sababha

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.