Faiz Abdullah Alotaibi

26 papers Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advanced fusion of IoT and AI technologies for smart environments: Enhancing environmental perception and mobility solutions for visually impaired individuals. Image Vis. Comput. Nouf Nawar Alotaibi, Mrim M. Alnfiai, Mona Mohammed Alnahari, Salma M. Mohsen Alnefaie, Faiz Abdullah Alotaibi
2026	J	`jnl`	MobileNet-Lite-Health: A Sustainable Edge AI Framework for Medical Image Classification and Carbon-Aware Computing. IEEE Access Faheem Shaukat, Khadija Parwez, Zeeshan Ashraf, Abdullah Alhabeeb, Faiz Abdullah Alotaibi, Mrim M. Alnfiai
2025	J	`jnl`	A hybrid model based on CNN-LSTM for assessing the risk of increasing claims in insurance companies. PeerJ Comput. Sci. Walaa Gamaleldin, Osama Attayyib, Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Ruixing Ming
2025	J	`jnl`	An intelligent anomaly detection system for IoT using a hybrid metaheuristic evolutionary strategy. PeerJ Comput. Sci. Muhammad Ishaq, Muhammad Jehanzeb Khan, Zeeshan Ashraf, Sohaib A. Latif, Mrim M. Alnfiai, Faiz Abdullah Alotaibi
2025	J	`jnl`	EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection. PeerJ Comput. Sci. Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, K. Venkatachalam, Jaehyuk Cho
2025	J	`jnl`	Integrating Explainable Artificial Intelligence With Advanced Deep Learning Model for Crowd Density Estimation in Real-World Surveillance Systems. IEEE Access Sultan Refa Alotaibi, Hanan Abdullah Mengash, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulwhab Alkharashi, Ahmad A. Alzahrani, Moneerah Alotaibi, Mrim M. Alnfiai
2025	J	`jnl`	Meta-Ensemble Learning for Heart Disease Prediction: A Stacking-Based Approach With Explainable AI. IEEE Access Mehwish Naz, Aqsa Khalid, Abdul Hameed, Rabia Taj, Waleed Mumtaz, Faiz Abdullah Alotaibi, Mrim M. Alnfiai
2025	J	`jnl`	Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks. PeerJ Comput. Sci. Manal Abdullah Alohali, Hamed AlQahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, K. Venkatachalam, Jaehyuk Cho
2024	J	`jnl`	An Optimized Location-Based System for the Improvement of E-Commerce Systems. IEEE Trans. Consumer Electron. Habib Ullah Khan, Anwar Hussain, Faheem Khan, Faiz Abdullah Alotaibi, Mrim M. Alnfiai
2024	J	`jnl`	Archimedes Optimization Algorithm With Deep Learning Assisted Content-Based Image Retrieval in Healthcare Sector. IEEE Access Imène Issaoui, Manal Abdullah Alohali, Wafa Mtouaa, Faiz Abdullah Alotaibi, Ahmed Mahmud, Mohammed Assiri
2024	J	`jnl`	Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism. Comput. Hum. Behav. Naveed Saif, Sajid Ullah Khan, Imrab Shaheen, Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Mohammad Arif
2024	J	`jnl`	Computer Vision With Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia. IEEE Access Alanoud Al Mazroa, Mohammed Maray, Abdullah Mujawib Alashjaee, Faiz Abdullah Alotaibi, Ahmad A. Alzahrani, Abdulwhab Alkharashi, Shoayee Dlaim Alotaibi, Mrim M. Alnfiai
2024	J	`jnl`	Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification. Mob. Networks Appl. Mohammed Maray, Ghadah Aldehim, Abdulrahman Alzahrani, Faiz Abdullah Alotaibi, Safa Alsafari, Elham Abdullah Alghamdi, Manar Ahmed Hamza
2024	J	`jnl`	Design of Hybrid Snake Optimizer Based Route Selection Approach for Unmanned Aerial Vehicles Communication. IEEE Access Hend Khalid Alkahtani, Hany Mahgoub, Faiz Abdullah Alotaibi, Kamal M. Othman, Randa Allafi, Ahmed S. Salama
2024	J	`jnl`	Gastrointestinal Cancer Detection and Classification Using African Vulture Optimization Algorithm With Transfer Learning. IEEE Access Ahmed S. Almasoud, Mohammed Maray, Hend Khalid Alkahtani, Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Ahmed Sayed
2024	J	`jnl`	Harnessing AI and analytics to enhance cybersecurity and privacy for collective intelligence systems. PeerJ Comput. Sci. Muhammad Rehan Naeem, Rashid Amin, Muhammad Farhan, Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Gabriel Avelino R. Sampedro, Vincent Karovic
2024	J	`jnl`	Improved Water Strider Algorithm With Convolutional Autoencoder for Lung and Colon Cancer Detection on Histopathological Images. IEEE Access Hamed AlQahtani, Eatedal Alabdulkreem, Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Chinu Singla, Ahmed S. Salama
2024	J	`jnl`	Intelligent model for the detection and classification of encrypted network traffic in cloud infrastructure. PeerJ Comput. Sci. Muhammad Dawood, Chunagbai Xiao, Shanshan Tu, Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Muhammad Farhan
2024	J	`jnl`	Modeling of Bayesian-Based Optimized Transfer Learning Model for Cyber-Attack Detection in Internet of Things Assisted Resource Constrained Systems. IEEE Access Hayam Alamro, Wahida Mansouri, Kawther Saeedi, Menwa Alshammeri, Jawhara Aljabri, Faiz Abdullah Alotaibi, Noha Negm, Mahir Mohammed Sharif
2024	J	`jnl`	Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks. IEEE Access Latifah Almuqren, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulrahman Alzahrani, Ahmed Mahmud, Mohammed Rizwanullah
2024	J	`jnl`	Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning. IEEE Access Mashael M. Asiri, Ghadah Aldehim, Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Mohammed Assiri, Ahmed Mahmud
2024	J	`jnl`	Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System. Cogn. Comput. Rana Alabdan, Jamal M. Alsamri, Siwar Ben Haj Hassine, Faiz Abdullah Alotaibi, Saud S. Alotaibi, Ayman Yafoz, Mrim M. Alnfiai, Mesfer Al Duhayyim
2023	J	`jnl`	Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks. Sensors Abdelwahed Motwakel, Aisha Hassan Abdalla Hashim, Hayam Alamro, Hamed AlQahtani, Faiz Abdullah Alotaibi, Ahmed Sayed
2023	J	`jnl`	Google Scholar or University Digital Libraries: A comparison of student perceptions and intention to use. J. Libr. Inf. Sci. Faiz Abdullah Alotaibi, Frances C. Johnson, Jennifer E. Rowley
2023	J	`jnl`	Modified Bald Eagle Search Algorithm With Deep Learning-Driven Sleep Quality Prediction for Healthcare Monitoring Systems. IEEE Access Rana Alabdan, Hanan Abdullah Mengash, Mohammed Maray, Faiz Abdullah Alotaibi, Sitelbanat Abdelbagi, Ahmed Mahmud
2023	J	`jnl`	Robust and Lightweight Remote User Authentication Mechanism for Next-Generation IoT-Based Smart Home. IEEE Access Zeeshan Ashraf, Adnan Sohail, Abdul Hameed, Muhammad Farhan, Faiz Abdullah Alotaibi, Mrim M. Alnfiai

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.