Rana Waqar Aslam

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Learning-Based Super-Resolution of Remote Sensing Images for Enhanced Groundwater Quality Assessment and Environmental Monitoring in Urban Areas. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Peng Shu, Rana Waqar Aslam, Iram Naz, Bushra Ghaffar, Dmitry Kucher, Abdul Quddoos, Danish Raza, Mohammad Abdullah-Al-Wadud, Rana Muhammad Zulqarnain
2025	J	`jnl`	Enhanced Land-Surface Temperature Recovery Through Multisensor Data Fusion and Spatial Resolution Improvement. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xulong Duan, Zahid Jahangir, Linlin Lu, Qazi Muhammad Yasir, Rana Waqar Aslam, Rayees Ahmed, Iram Naz, Muhammad Azeem Liaquat, Ahsan Jamil, Hassan Alzahrani
2025	J	`jnl`	Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia F. Said
2025	J	`jnl`	Multisensor Data Fusion for Quantifying Agricultural Fire Impacts on Air Quality and Environmental Degradation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Pu Bu, Rana Waqar Aslam, Abdul Quddoos, Nazih Yacer Rebouh, Muhammad Nasar Ahmad, Rana Muhammad Zulqarnain, Qaiser Abbas, Yahia F. Said
2025	J	`jnl`	Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Luo Bin, Rana Waqar Aslam, Iram Naz, Dmitry Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia F. Said
2025	J	`jnl`	Multitemporal Analysis of Urbanization-Driven Slope and Ecological Impact Using Machine-Learning and Remote Sensing Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hao Zhang, Muhammad Haseeb, Xiangtian Zheng, Zainab Tahir, Syed Amer Mahmood, Aqil Tariq, Rana Waqar Aslam, Mohammad Abdullah-Al-Wadud, Hesham Mohamed El-Askary
2025	J	`jnl`	Tackling Data Quality Challenges in Remote Sensing: Solutions for Reliable Urban Heat Island Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Wei Xia, Aqil Tariq, Hesham Mohamed El-Askary, Rana Waqar Aslam, Elgar Barboza, Dmitry Kucher, Youssef M. Youssef, Habib Kraiem
2024	J	`jnl`	Assessment of Urban Environmental Quality by Socioeconomic and Environmental Variables Using Open-Source Datasets. Trans. GIS Lingye Tan, Nayyer Saleem, Rana Waqar Aslam, Asif Sajjad, Iram Naz, Aqil Tariq, Hassan Alzahrani
2024	J	`jnl`	Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data. Remote. Sens. Rana Waqar Aslam, Hong Shu, Iram Naz, Abdul Quddoos, Andaleeb Yaseen, Khansa Gulshad, Saad S. Alarifi
2024	J	`jnl`	Seasonal Dynamics in Land Surface Temperature in Response to Land Use Land Cover Changes Using Google Earth Engine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lei Feng, Sajjad Hussain, Narcisa G. Pricope, Sana Arshad, Aqil Tariq, Li Feng, Muhammad Mubeen, Rana Waqar Aslam, Mohammed S. Fnais, Wenzhao Li, Hesham Mohamed El-Askary
2024	J	`jnl`	Wetland identification through remote sensing: Insights into wetness, greenness, turbidity, temperature, and changing landscapes. Big Data Res. Rana Waqar Aslam, Hong Shu, Kanwal Javid, Shazia Pervaiz, Farhan Mustafa, Danish Raza, Bilal Ahmed, Abdul Quddoos, Saad Al-Ahmadi, Wesam Atef Hatamleh
2023	J	`jnl`	Monitoring the population change and urban growth of four major Pakistan cities through spatial analysis of open source data. Ann. GIS Rana Waqar Aslam, Hong Shu, Andaleeb Yaseen
2022	J	`jnl`	Spatiotemporal Investigation of Near-Surface CO IEEE Trans. Geosci. Remote. Sens. Farhan Mustafa, Lingbing Bu, Qin Wang, Muhammad Shahzaman, Muhammad Bilal, Rana Waqar Aslam, Changzhe Dong
2021	J	`jnl`	Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries. Remote. Sens. Muhammad Shahzaman, Weijun Zhu, Irfan Ullah, Farhan Mustafa, Muhammad Bilal, Shazia Ishfaq, Shazia Nisar, Muhammad Arshad, Rashid Iqbal, Rana Waqar Aslam
2021	J	`jnl`	Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China. Remote. Sens. Farhan Mustafa, Huijuan Wang, Lingbing Bu, Qin Wang, Muhammad Shahzaman, Muhammad Bilal, Minqiang Zhou, Rashid Iqbal, Rana Waqar Aslam, Md. Arfan Ali, Zhongfeng Qiu

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.