Abdelrazek Elnashar

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality. Comput. Electron. Agric. Ahmed M. S. Kheir, Ajit Govind, Vinay Nangia, Maher A. El-Maghraby, Abdelrazek Elnashar, Mukhtar Ahmed, Hesham Aboelsoud, Rania Gamal, Til Feike
2024	J	`jnl`	A Novel Fusion of Optical and Radar Satellite Data for Crop Phenology Estimation using Machine Learning and Cloud Computing. CoRR Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias K. D. Weber
2022	J	`jnl`	Incorporation of Net Radiation Model Considering Complex Terrain in Evapotranspiration Determination with Sentinel-2 Data. Remote. Sens. Linjiang Wang, Bingfang Wu, Abdelrazek Elnashar, Weiwei Zhu, Nana Yan, Zonghan Ma, Shirong Liu, Xiaodong Niu
2022	J	`jnl`	Machine learning-based cloud computing improved wheat yield simulation in arid regions. Comput. Electron. Agric. Ahmed M. S. Kheir, Khalil A. Ammar, Ahmed Amer, Marwa G. M. Ali, Zheli Ding, Abdelrazek Elnashar
2022	J	`jnl`	Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia. Remote. Sens. Battsetseg Tuvdendorj, Hongwei Zeng, Bingfang Wu, Abdelrazek Elnashar, Miao Zhang, Fuyou Tian, Mohsen Nabil, Lkhagvadorj Nanzad, Amanjol Bulkhbai, Natsagsuren Natsagdorj
2021	J	`jnl`	Erratum: Mumtaz, F., et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sens. 2020, 12, 2987. Remote. Sens. Faisal Mumtaz, Yu Tao, Gerrit de Leeuw, Limin Zhao, Cheng Fan, Abdelrazek Elnashar, Barjeece Bashir, Gengke Wang, Lingling Li, Shahid Naeem, Arfan Arshad, Dakang Wang
2021	J	`jnl`	Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China. Remote. Sens. Linjiang Wang, Bingfang Wu, Abdelrazek Elnashar, Hongwei Zeng, Weiwei Zhu, Nana Yan
2020	J	`jnl`	Downscaling TRMM Monthly Precipitation Using Google Earth Engine and Google Cloud Computing. Remote. Sens. Abdelrazek Elnashar, Hongwei Zeng, Bingfang Wu, Ning Zhang, Fuyou Tian, Miao Zhang, Weiwei Zhu, Nana Yan, Zeqiang Chen, Zhiyu Sun, Xinghua Wu, Yuan Li
2020	J	`jnl`	Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote. Sens. Faisal Mumtaz, Yu Tao, Gerrit de Leeuw, Limin Zhao, Cheng Fan, Abdelrazek Elnashar, Barjeece Bashir, Gengke Wang, Lingling Li, Shahid Naeem, Arfan Arshad
2020	J	`jnl`	Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan. Remote. Sens. Zain Nawaz, Xin Li, Yingying Chen, Naima Nawaz, Rabia Gull, Abdelrazek Elnashar
2020	J	`jnl`	The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China. Remote. Sens. Cheng Fan, Ying Li, Jie Guang, Zhengqiang Li, Abdelrazek Elnashar, Mona Allam, Gerrit de Leeuw

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.