Abdullatif A. Al-Shuhail

13 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Microseismic event classification with a lightweight Fourier Neural Operator model. CoRR Ayrat Abdullin, Umair bin Waheed, Leo Eisner, Abdullatif A. Al-Shuhail
2023	J	`jnl`	Facies-Guided Seismic Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Adnan Hamida, Motaz Alfarraj, Abdullatif A. Al-Shuhail, Salam A. Zummo
2023	J	`jnl`	Frequency-Independent Centroid Frequency Shift Method for Signal Attenuation Estimation. IEEE Trans. Geosci. Remote. Sens. Huijian Li, Bo Liu, Xu Liu, Abdullatif A. Al-Shuhail, Sherif M. Hanafy, Yangkang Chen
2022	J	`jnl`	Application of Combined Local and Global Optimization Algorithms in Joint Interpretation of Direct Current Resistivity and Seismic Refraction Data: A Case Study of Dammam Dome, Eastern Saudi Arabia. Sensors Paul Edigbue, Ismail Demirci, Irfan Akca, Hamdan Hamdan, Panagiotis Kirmizakis, Pantelis Soupios, Markos Tranos, Israa S. Abu-Mahfouz, Emin Candansayar, Sherif M. Hanafy, Abdullatif A. Al-Shuhail
2022	J	`jnl`	First Arrival Picking of Zero-Phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method. Sensors Amen Bargees, Abdullatif A. Al-Shuhail
2019	J	`jnl`	First Arrival Picking of Seismic Data Based on Trace Envelope. IEEE Access Abdullah A. Al-Mashhor, Abdullatif A. Al-Shuhail, Sherif M. Hanafy, Wail A. Mousa
2019	J	`jnl`	Sparse Multichannel Blind Deconvolution of Seismic Data via Spectral Projected-Gradient. IEEE Access Naveed Iqbal, Entao Liu, James H. McClellan, Abdullatif A. Al-Shuhail
2018	J	`jnl`	Array Processing in Microseismic Monitoring: Detection, Enhancement, and Localization of Induced Seismicity. IEEE Signal Process. Mag. James H. McClellan, Leo Eisner, Entao Liu, Naveed Iqbal, Abdullatif A. Al-Shuhail, Sanlinn I. Kaka
2018	J	`jnl`	Detection and Denoising of Microseismic Events Using Time-Frequency Representation and Tensor Decomposition. IEEE Access Naveed Iqbal, Entao Liu, James H. McClellan, Abdullatif A. Al-Shuhail, Sanlinn I. Kaka, Azzedine Zerguine
2016	J	`jnl`	Microseismic events enhancement and detection in sensor arrays using autocorrelation based filtering. CoRR Entao Liu, Lijun Zhu, Anupama Govinda Raj, James H. McClellan, Abdullatif A. Al-Shuhail, Sanlinn I. Kaka, Naveed Iqbal
2013	J	`jnl`	Seismic array response in the presence of a dipping shallow layer. Signal Image Video Process. Abdullatif A. Al-Shuhail
2011	—	`book`	Processing of Seismic Reflection Data Using MATLAB Wail A. Mousa, Abdullatif A. Al-Shuhail
2004	J	`jnl`	A FORTRAN program to determine fracture principal axes from multiazimuthal seismic P-wave AVO data. Comput. Geosci. Abdullatif A. Al-Shuhail

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.