Abdulla Ayyad - RankMe

29 papers Journal 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning 6D Object Pose Estimation With Event Cameras Using Synthetic Data and Domain Randomization. IEEE Robotics Autom. Lett. Oussama Abdul Hay, Xiaoqian Huang, Muhammad Ahmed Humais, Abdulla Ayyad, Randa Almadhoun, Yahya H. Zweiri
2026	J	`jnl`	They See Me Rolling: High-Speed Event Vision-Based Tactile Roller Sensor for Large Surface Inspection. IEEE Trans. Robotics Akram Khairi, Hussain Sajwani, Abdallah Mohammad Alkilany, Laith AbuAssi, Mohamad Halwani, Islam Mohamed Zaid, Ahmed Awadalla, Dewald Swart, Abdulla Ayyad, Yahya Zweiri
2025	J	`jnl`	High-Speed Event Vision-Based Tactile Roller Sensor for Large Surface Measurements. CoRR Akram Khairi, Hussain M. Sajwani, Abdallah Mohammad Alkilany, Laith AbuAssi, Mohamad Halwani, Islam Mohamed Zaid, Ahmed Awadalla, Dewald Swart, Abdulla Ayyad, Yahya H. Zweiri
2024	J	`jnl`	A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions. IEEE Trans. Instrum. Meas. Mohammed Salah, Mohammed Chehadah, Muhammad Humais, Mohamad Wahbah, Abdulla Ayyad, Rana Azzam, Lakmal D. Seneviratne, Yahya H. Zweiri
2024	J	`jnl`	E-Calib: A Fast, Robust, and Accurate Calibration Toolbox for Event Cameras. IEEE Trans. Image Process. Mohammed Salah, Abdulla Ayyad, Muhammad Humais, Daniel Gehrig, Abdelqader Abusafieh, Lakmal D. Seneviratne, Davide Scaramuzza, Yahya H. Zweiri
2024	J	`jnl`	High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes. J. Intell. Manuf. Mohammed Salah, Abdulla Ayyad, Mohammed Ramadan, Yusra Abdulrahman, Dewald Swart, Abdelqader Abusafieh, Lakmal D. Seneviratne, Yahya H. Zweiri
2024	J	`jnl`	NeuTac: Zero-Shot Sim2Real Measurement for Neuromorphic Vision-Based Tactile Sensors. IEEE Trans. Instrum. Meas. Mohammed Salah, Islam Mohamed Zaid, Mohamad Halwani, Hussain M. Sajwani, Abdullah Solayman, Abdulla Ayyad, Rana Azzam, Abdelqader Abusafieh, Yahya H. Zweiri
2024	J	`jnl`	Neuromorphic Camera Denoising Using Graph Neural Network-Driven Transformers. IEEE Trans. Neural Networks Learn. Syst. Yusra Alkendi, Rana Azzam, Abdulla Ayyad, Sajid Javed, Lakmal D. Seneviratne, Yahya H. Zweiri
2023	J	`jnl`	A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment. CoRR Xiaoqian Huang, Sanket Kachole, Abdulla Ayyad, Fariborz Baghaei Naeini, Dimitrios Makris, Yahya H. Zweiri
2023	J	`jnl`	Aero-Engine Blade Defect Detection: A Systematic Review of Deep Learning Models. IEEE Access Yusra Abdulrahman, M. A. Mohammed Eltoum, Abdulla Ayyad, Brain Moyo, Yahya H. Zweiri
2023	J	`jnl`	E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras. CoRR Mohammed Salah, Abdulla Ayyad, Muhammad Humais, Daniel Gehrig, Abdelqader Abusafieh, Lakmal D. Seneviratne, Davide Scaramuzza, Yahya H. Zweiri
2023	J	`jnl`	High Speed Neuromorphic Vision-Based Inspection of Countersinks in Automated Manufacturing Processes. CoRR Mohammed Salah, Abdulla Ayyad, Mohammed Ramadan, Yusra Abdulrahman, Dewald Swart, Abdelqader Abusafieh, Lakmal D. Seneviratne, Yahya H. Zweiri
2023	J	`jnl`	Neuromorphic vision based control for the precise positioning of robotic drilling systems. Robotics Comput. Integr. Manuf. Abdulla Ayyad, Mohamad Halwani, Dewald Swart, Rajkumar Muthusamy, Fahad Almaskari, Yahya H. Zweiri
2023	J	`jnl`	Noise-Tolerant Identification and Tuning Approach Using Deep Neural Networks for Visual Servoing Applications. IEEE Trans. Robotics Oussama Abdul Hay, Mohamad Chehadeh, Abdulla Ayyad, Mohamad Wahbah, Muhammad Ahmed Humais, Igor Boiko, Lakmal D. Seneviratne, Yahya H. Zweiri
2023	J	`jnl`	TactiGraph: An Asynchronous Graph Neural Network for Contact Angle Prediction Using Neuromorphic Vision-Based Tactile Sensing. Sensors Hussain M. Sajwani, Abdulla Ayyad, Yusra Alkendi, Mohamad Halwani, Yusra Abdulrahman, Abdulqader Abusafieh, Yahya H. Zweiri
2022	J	`jnl`	A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions. CoRR Mohammed Salah, Mohammed Chehadah, Muhammad Humais, Mohamed Wahbah, Abdulla Ayyad, Rana Azzam, Lakmal D. Seneviratne, Yahya H. Zweiri
2022	J	`jnl`	Multirotors From Takeoff to Real-Time Full Identification Using the Modified Relay Feedback Test and Deep Neural Networks. IEEE Trans. Control. Syst. Technol. Abdulla Ayyad, Mohamad Chehadeh, Pedro Henrique Silva, Mohamad Wahbah, Oussama Abdul Hay, Igor Boiko, Yahya H. Zweiri
2022	J	`jnl`	Neuromorphic Vision Based Control for the Precise Positioning of Robotic Drilling Systems. CoRR Abdulla Ayyad, Mohamad Halwani, Dewald Swart, Rajkumar Muthusamy, Fahad Almaskari, Yahya H. Zweiri
2022	J	`jnl`	Real-time grasping strategies using event camera. J. Intell. Manuf. Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy, Abdulla Ayyad, Dewald Swart, Lakmal D. Seneviratne, Dongming Gan, Yahya H. Zweiri
2022	J	`jnl`	Systematic Online Tuning of Multirotor UAVs for Accurate Trajectory Tracking Under Wind Disturbances and In-Flight Dynamics Changes. IEEE Access AbdulAziz Y. AlKayas, Mohamad Chehadeh, Abdulla Ayyad, Yahya H. Zweiri
2021	J	`jnl`	Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers. CoRR Yusra Alkendi, Rana Azzam, Abdulla Ayyad, Sajid Javed, Lakmal D. Seneviratne, Yahya H. Zweiri
2021	J	`jnl`	Neuromorphic Eye-in-Hand Visual Servoing. IEEE Access Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani, Dewald Swart, Dongming Gan, Lakmal D. Seneviratne, Yahya H. Zweiri
2021	J	`jnl`	Real-Time Grasping Strategies Using Event Camera. CoRR Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy, Abdulla Ayyad, Dewald Swart, Lakmal D. Seneviratne, Dongming Gan, Yahya H. Zweiri
2021	J	`jnl`	Real-time Identification and Tuning of Multirotors Based on Deep Neural Networks for Accurate Trajectory Tracking Under Wind Disturbances. CoRR AbdulAziz Y. AlKayas, Mohamad Chehadeh, Abdulla Ayyad, Yahya H. Zweiri
2021	J	`jnl`	Unified Identification and Tuning Approach Using Deep Neural Networks For Visual Servoing Applications. CoRR Oussama Abdul Hay, Mohamad Chehadeh, Abdulla Ayyad, Mohamad Wahbah, Muhammad Humais, Yahya H. Zweiri
2020	J	`jnl`	Multirotors from Takeoff to Real-Time Full Identification Using the Modified Relay Feedback Test and Deep Neural Networks. CoRR Abdulla Ayyad, Pedro Henrique Silva, Mohamad Chehadeh, Mohamad Wahbah, Oussama Abdul Hay, Igor Boiko, Yahya H. Zweiri
2020	J	`jnl`	Neuromorphic Eye-in-Hand Visual Servoing. CoRR Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani, Yahya H. Zweiri, Dongming Gan, Lakmal D. Seneviratne
2020	J	`jnl`	Real-Time System Identification Using Deep Learning for Linear Processes With Application to Unmanned Aerial Vehicles. IEEE Access Abdulla Ayyad, Mohamad Chehadeh, Mohammad I. Awad, Yahya H. Zweiri
2020	J	`jnl`	Real-time System Identification Using Deep Learning for Linear Processes with Application to Unmanned Aerial Vehicles. CoRR Abdulla Ayyad, Mohamad Chehadeh, Mohammad I. Awad, Yahya H. Zweiri

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.