Abdulaziz Al-Ali

25 papers A* 1A 1B 3C 3Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Building a Robust Risk-Based Access Control System to Combat Ransomware's Capability to Encrypt: A Machine Learning Approach. CoRR Kenan Begovic, Abdulaziz Al-Ali, Qutaibah M. Malluhi
2026	J	`jnl`	Generative AI-Driven Metaverse: The Promises and Challenges of AI-Generated Content. IEEE Open J. Comput. Soc. Lamiaa Basyoni, Adnan Qayyum, Khaled B. Shaban, Ezieddin Elmahjub, Abdulaziz Al-Ali, Osama Halabi, Junaid Qadir
2025	J	`jnl`	Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics. Eng. Appl. Artif. Intell. Mohamed Hamdy, Shahd Gaben, Abdullah Al-Saadi, Abdulaziz Al-Ali, Majeda Khraisheh, Fares Almomani, Ponnuthurai N. Suganthan
2025	B	`conf`	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning. CBMS Fatimaelzahraa Ali Ahmed, Muhammad Arsalan, Abdulaziz Al-Ali, Khalid Al-Jalham, Shidin Balakrishnan
2025	A	`conf`	FASL-Seg: Anatomy and Tool Segmentation of Surgical Scenes. ECAI Muraam Abdel-Ghani, Mahmoud Ali, Mohamed Ali, Fatmaelzahraa Ahmed, Mohamed Arsalan, Abdulaziz Al-Ali, Shidin Balakrishnan
2025	J	`jnl`	FASL-Seg: Anatomy and Tool Segmentation of Surgical Scenes. CoRR Muraam Abdel-Ghani, Mahmoud Ali, Mohamed Ali, Fatmaelzahraa Ahmed, Muhammad Arsalan, Abdulaziz Al-Ali, Shidin Balakrishnan
2025	J	`jnl`	Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey. IEEE Access Somaya Eltanbouly, Jezia Zakraoui, Abdulaziz Al-Ali, Abdelhak Belhi, Sandy Rahme, Abdelaziz Bouras
2024	C	`conf`	Analysis of lightweight CNN-Based Intrusion Detection Models in IoT. BDCAT Muraam Abdel-Ghani, Jezia Zakraoui, Abdelhak Belhi, Abdulaziz Al-Ali, Sandy Rahme, Abdelaziz Bouras
2024	—	`conf`	Beam Prediction in 5G and 6G Systems: A Deep Learning Approach. ICCSPA Shaimaa Hassanein, Omar Shouman, Elias Yaacoub, Abdulaziz Al-Ali, Tamer Khattab
2024	C	`conf`	Improving Energy Theft Detection through Time Series Segmentation and Ensemble Learning. IECON Emran Altamimi, Abdulaziz Al-Ali, Abdulla K. Al-Ali, Qutaibah M. Malluhi
2024	C	`conf`	Privacy Leakage in Federated Learning for Smart Grid Short-Term Load Forecasting. IECON Hussein Aly, Abdulaziz Al-Ali, Abdulla K. Al-Ali, Qutaibah M. Malluhi
2024	—	`ed.`	Social Robotics - 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part I ICSR (1) Abdulaziz Al-Ali, John-John Cabibihan, Nader Meskin, Silvia Rossi, Wanyue Jiang, Hongsheng He, Shuzhi Sam Ge
2024	—	`ed.`	Social Robotics - 15th International Conference, ICSR 2023, Doha, Qatar, December 3-7, 2023, Proceedings, Part II ICSR (2) Abdulaziz Al-Ali, John-John Cabibihan, Nader Meskin, Silvia Rossi, Wanyue Jiang, Hongsheng He, Shuzhi Sam Ge
2023	J	`jnl`	A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case. CoRR Hussein Aly, Abdulaziz Al-Ali, Abdullah Al-Ali, Qutaibah M. Malluhi
2023	J	`jnl`	Cryptographic ransomware encryption detection: Survey. Comput. Secur. Kenan Begovic, Abdulaziz Al-Ali, Qutaibah M. Malluhi
2023	J	`jnl`	Cryptographic ransomware encryption detection: Survey. CoRR Kenan Begovic, Abdulaziz Al-Ali, Qutaibah M. Malluhi
2023	J	`jnl`	Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions. Robotics Ahmad Qadeib Alban, Ahmad Yaser Alhaddad, Abdulaziz Al-Ali, Wing Chee So, Olcay Bilge Connor, Malek Ayesh, Uvais A. Qidwai, John-John Cabibihan
2023	J	`jnl`	LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids. IEEE Access Naheel Faisal Kamal, Abdulla Khalid Al-Ali, Abdulaziz Al-Ali, Sertac Bayhan, Qutaibah M. Malluhi
2023	J	`jnl`	Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions. Sensors Ahmad Yaser Alhaddad, Hussein Aly, Hoda Gad, Einas Elgassim, Ibrahim Mohammed, Khaled Baagar, Abdulaziz Al-Ali, Kishor Kumar Sadasivuni, John-John Cabibihan, Rayaz A. Malik
2023	A*	`conf`	Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification. SIGIR Zien Sheikh Ali, Watheq Mansour, Fatima Haouari, Maram Hasanain, Tamer Elsayed, Abdulaziz Al-Ali
2023	J	`jnl`	This is not new! Spotting previously-verified claims over Twitter. Inf. Process. Manag. Watheq Mansour, Tamer Elsayed, Abdulaziz Al-Ali
2022	—	`conf`	A Framework for Assistive Social Robots for Detecting Aggression in Children. ICSR (2) Ahmad Yaser Alhaddad, Abdulaziz Al-Ali, Amit Kumar Pandey, John-John Cabibihan
2021	J	`jnl`	Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks. Sensors Sara Al-Emadi, Abdulla K. Al-Ali, Abdulaziz Al-Ali
2021	B	`conf`	Detection of Challenging Behaviours of Children with Autism Using Wearable Sensors during Interactions with Social Robots. RO-MAN Ahmad Qadeib Alban, Malek Ayesh, Ahmad Yaser Alhaddad, Abdulaziz Al-Ali, Wing Chee So, Olcay Bilge Connor, John-John Cabibihan
2019	B	`conf`	Audio Based Drone Detection and Identification using Deep Learning. IWCMC Sara Al-Emadi, Abdulla K. Al-Ali, Amr Mohammad, Abdulaziz Al-Ali

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.