Safeer Ullah - RankMe

12 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Robust Fractional-Order Nonsingular Terminal Sliding Mode Control With Deep Learning-Based Lie Derivative Estimation for Maximum Power Point Tracking in Wind Turbine. IEEE Access Ahmed S. Alsafran, Safeer Ullah, Ameen Ullah, Ghulam Hafeez, Muhammad Zeeshan Babar, Baheej Alghamdi, Abdullah A. Algethami
2025	J	`jnl`	A Three-Level Inverter-Based Model Predictive Control Design for Optimal Wind Energy Systems. IEEE Access Abouobaida Hassan, Safeer Ullah, Ahmed S. Alsafran, Ambe Harrison, Ghulam Hafeez, Baheej Alghamdi, Habib Kraiem
2025	J	`jnl`	A Uniform Robust Exact Differentiator Based Neuro-Fuzzy Fractional Order Sliding Mode Control for Optimal Standalone Solar Photovoltaic System. IEEE Access Safeer Ullah, Ahmed S. Alsafran, Ambe Harrison, Ghulam Hafeez, Abouobaida Hassan, Baheej Alghamdi, Habib Kraiem
2025	J	`jnl`	Fast Smooth Super-Twisting SMC and Super-Twisting Disturbance Estimation for PMSM Speed Control. IEEE Trans. Consumer Electron. Tanzeel Ur Rahman, Ameen Ullah, Safeer Ullah, Jianfei Pan, Baheej Alghamdi, Akhtar Rehman, Zhengbiao Ouyang
2024	—	`conf`	A Swarm Intelligence-Based Approach for Multi-Objective Optimization Considering Renewable Energy in Smart Grid. ICECET Kalim Ullah, Hisham Alghamdi, Ghulam Hafeez, Imran Khan, Safeer Ullah, Sadia Murawwat
2024	J	`jnl`	Neuro-adaptive non-singular terminal sliding mode control for distributed fixed-time synchronization of higher-order uncertain multi-agent nonlinear systems. Inf. Sci. Safeer Ullah, Qudrat Khan, Monji Mohamed Zaidi, Lyu-Guang Hua
2024	J	`jnl`	Variable-Gain Robust Exact Differentiator-Based Neuro-Adaptive Control Design for Dynamic Wind Power Optimization. IEEE Access Hisham Alghamdi, Safeer Ullah, Ammar Ali, Ghulam Hafeez, Lyu Guanghua, Ameen Ullah, Imen Bouazzi
2023	J	`jnl`	Neuro-adaptive fixed-time non-singular fast terminal sliding mode control design for a class of under-actuated nonlinear systems. Int. J. Control Safeer Ullah, Qudrat Khan, Adeel Mehmood
2022	J	`jnl`	Adaptive FIT-SMC Approach for an Anthropomorphic Manipulator With Robust Exact Differentiator and Neural Network-Based Friction Compensation. IEEE Access Khurram Ali, Safeer Ullah, Adeel Mehmood, Hala Mostafa, Mohamed Marey, Jamshed Iqbal
2022	J	`jnl`	Control Design for Uncertain Higher-Order Networked Nonlinear Systems via an Arbitrary Order Finite-Time Sliding Mode Control Law. Sensors Maryam Munir, Qudrat Khan, Safeer Ullah, Tayyaba Maryam Syeda, Abdullah A. Algethami
2021	—	`conf`	Dynamic Modeling and Stabilization of Surveillance Quadcopter in Space based on Integral Super Twisting Sliding Mode Control Strategy. ICAI Safeer Ullah, Adeel Mehmood, Khurram Ali, Usman Javaid, Ghulam Hafeez, Ejaz Ahmad
2018	—	`conf`	Short Term Load Forecasting based on Deep Learning for Smart Grid Applications. IMIS Ghulam Hafeez, Nadeem Javaid, Safeer Ullah, Zafar Iqbal, Mahnoor Khan, Aziz Ur Rehman, Zia Ullah

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.