Rab Nawaz Bashir

24 papers Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corrections to "Internet of Things (IoT) and Machine Learning Model of Plant Disease Prediction-Blister Blight for Tea Plant". IEEE Access Zhiyan Liu, Rab Nawaz Bashir, Salman Iqbal, Malik Muhammad Ali Shahid, Muhammad Tausif, Qasim Umer
2026	J	`jnl`	Deep spatio-temporal learning for multi-hazard events: A ConvGRU multi-label classification approach. GeoInformatica Syeda Zoupash Zahra, Najia Saher, Kalim Sattar, Malik Muhammad Saad Missen, Rab Nawaz Bashir, Muhammad Faheem, Amjad Rehman
2025	J	`jnl`	A Normalized Exponential Piecewise Chaotic System (NEPCS) and DNA Image Cryptography Using SHA-256. IEEE Access Hammad Safdar Gill, Madiha Amjad, Muhammad Faheem, Aqeel Ur Rehman, Umber Rana, Amjad Rehman Khan, Rab Nawaz Bashir
2025	J	`jnl`	Short-Term Multi-Hazard Prediction Using a Multi-Source Data Fusion Approach. Comput. Mater. Continua Syeda Zoupash Zahra, Najia Saher, Malik Muhammad Saad Missen, Rab Nawaz Bashir, Salma Idris, Tahani Jaser Alahmadi, Muhammad I. Khan
2025	J	`jnl`	Tropical Cyclone Intensity Prediction Using Spatio-Temporal Data Fusion. IEEE Access Kalim Sattar, Malik Muhammad Saad Missen, Najia Saher, Rab Nawaz Bashir, Syeda Zoupash Zahra, Muhammad Faheem, Amjad Rehman Khan
2025	J	`jnl`	Voice pathology identification using mel spectrogram features and deep learning. Signal Image Video Process. Rab Nawaz Bashir, Muhammad Ali Shahid, Tahir Rashid, Muhammad Faheem, Taoufik Saidani, Oumaima Saidani, Amjad Rehman Khan
2024	J	`jnl`	A Novel 1-Dimensional Cosine Chaotic Equation and Digital Image Encryption Technique. IEEE Access Farman Ullah, Ziauddin, Muhammad Faheem, Muntazim Abbas Hashmi, Aqeel-ur Rehman, Rab Nawaz Bashir, Amjad Rehman Khan
2024	J	`jnl`	Federated Learning (FL) Model of Wind Power Prediction. IEEE Access Amal Alshardan, Sidra Tariq, Rab Nawaz Bashir, Oumaima Saidani, Rashid Jahangir
2024	J	`jnl`	IoT- Enabled Firmness Grades of Tomato in Cold Supply Chain Using Fusion of Whale Optimization Algorithm and Extreme Learning Machine. IEEE Access Ali Haider, Rafaqat Kazmi, Teg Alam, Rab Nawaz Bashir, Haitham Nobanee, Amjad Rehman Khan, Aqsa
2024	J	`jnl`	Mushroom Species Classification in Natural Habitats Using Convolutional Neural Networks (CNN). IEEE Access Rab Nawaz Bashir, Olfa Mzoughi, Nazish Riaz, Muhammad Mujahid, Muhammad Faheem, Muhammad Tausif, Amjad Rehman Khan
2024	J	`jnl`	Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET0) predictions of Taif, Saudi Arabia. Comput. Electron. Agric. Rab Nawaz Bashir, Olfa Mzoughi, Muhammad Ali Shahid, Nazik Alturki, Oumaima Saidani
2023	J	`jnl`	Ensemble Deep Learning-Based Prediction of Fraudulent Cryptocurrency Transactions. IEEE Access Qasim Umer, Jian-Wei Li, Muhammad Rehan Ashraf, Rab Nawaz Bashir, Hamid Ghous
2023	J	`jnl`	Ensemble learning-based estimation of reference evapotranspiration (ETo). Internet Things Muhammad Tausif, Sania Dilshad, Qasim Umer, Muhammad Waseem Iqbal, Zohaib Latif, Choonhwa Lee, Rab Nawaz Bashir
2023	J	`jnl`	Intelligent optimization of Reference Evapotranspiration (ETo) for precision irrigation. J. Comput. Sci. Rab Nawaz Bashir, Faizan Ahmed Khan, Arfat Ahmad Khan, Muhammad Tausif, Muhammad Zahid Abbas, Malik Muhammad Ali Shahid, Nasrullah Khan
2023	J	`jnl`	Internet of Things Based Weekly Crop Pest Prediction by Using Deep Neural Network. IEEE Access Rana Muhammad Saleem, Rab Nawaz Bashir, Muhammad Faheem, Mohd Anul Haq, Ahmed Alhussen, Zamil S. Alzamil, Shakir Khan
2023	J	`jnl`	IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh. Sensors Muhammad Asif Nauman, Mahlaqa Saeed, Oumaima Saidani, Tayyaba Javed, Latifah Almuqren, Rab Nawaz Bashir, Rashid Jahangir
2023	J	`jnl`	Leaching Fraction (LF) of Irrigation Water for Saline Soils Using Machine Learning. Intell. Autom. Soft Comput. Rab Nawaz Bashir, Imran Sarwar Bajwa, Muhammad Waseem Iqbal, Muhammad Usman Ashraf, Ahmed Mohammed Alghamdi, Adel A. Bahaddad, Khalid Ali Almarhabi
2023	J	`jnl`	Smart reference evapotranspiration using Internet of Things and hybrid ensemble machine learning approach. Internet Things Rab Nawaz Bashir, Mahlaqa Saeed, Mohammed Al-Sarem, Rashiq Marie, Muhammad Faheem, Abdelrahman Elsharif Karrar, Bahaeldein Elhussein
2023	J	`jnl`	Stacked Ensemble Model for Tropical Cyclone Path Prediction. IEEE Access Kalim Sattar, Syeda Zoupash Zahra, Muhammad Faheem, Malik Muhammad Saad Missen, Rab Nawaz Bashir, Muhammad Zahid Abbas
2022	J	`jnl`	Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation. IEEE Access Arfat Ahmad Khan, Muhammad Asif Nauman, Rab Nawaz Bashir, Rashid Jahangir, Roobaea Alroobaea, Ahmed Binmahfoudh, Majed Alsafyani, Chitapong Wechtaisong
2022	J	`jnl`	Internet of Things (IoT) Assisted Context Aware Fertilizer Recommendation. IEEE Access Arfat Ahmad Khan, Muhammad Faheem, Rab Nawaz Bashir, Chitapong Wechtaisong, Muhammad Zahid Abbas
2022	J	`jnl`	Internet of Things (IoT) and Machine Learning Model of Plant Disease Prediction-Blister Blight for Tea Plant. IEEE Access Zhiyan Liu, Rab Nawaz Bashir, Salman Iqbal, Malik Muhammad Ali Shahid, Muhammad Tausif, Qasim Umer
2022	J	`jnl`	Machine Learning Based Prediction of Reference Evapotranspiration (ET IEEE Access Zhiming Hu, Rab Nawaz Bashir, Aqeel Ur Rehman, Salman Iqbal, Malik Muhammad Ali Shahid, Ting Xu
2020	J	`jnl`	Internet of Things and Machine-Learning-Based Leaching Requirements Estimation for Saline Soils. IEEE Internet Things J. Rab Nawaz Bashir, Imran Sarwar Bajwa, Malik Muhammad Ali Shahid

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.