Sadeq Ali Qasem Mohammed

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Emerging Efficiency Enhancement Strategies for Electric Motor Drives in Electric Vehicles: A Comprehensive Review. IEEE Access Sadeq Ali Qasem Mohammed, Mohammad M. Almuhaini, Mohammad A. Abido
2025	J	`jnl`	An Optimized Hybrid Unipolar PWM Technique for Ripple Reduction in Flying Capacitor of 5L-ANPC Converters. IEEE Trans. Ind. Electron. Samer Saleh Hakami, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee
2025	J	`jnl`	Critical Review on Powertrain Technologies for Electric Vehicles: Classification, Broadly Adopted Topologies, and Future Challenges. IEEE Access Sadeq Ali Qasem Mohammed, Samer Saleh Hakami, Mahmoud Kassas, Mohammad M. Almuhaini
2025	J	`jnl`	Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives. IEEE Access Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee
2025	J	`jnl`	Sensorless Deadbeat Control Strategy With Adaptive Capability for PMSM Drive Machines. IEEE Access Sadeq Ali Qasem Mohammed, Mohammad M. Almuhaini, Kyo-Beum Lee
2024	J	`jnl`	Improved Adaptive CCS-MPCC for Distorted Model Parameters Mitigation of IPMSM Drives. IEEE Trans. Ind. Electron. Sadeq Ali Qasem Mohammed, Ibrahim Mohd. Alsofyani, Kyo-Beum Lee
2024	J	`jnl`	Improved Iterative Learning Control for Three-Level NPC Inverter-Fed PMSM Drives With DC-Link Balancing. IEEE Trans. Ind. Informatics Sadeq Ali Qasem Mohammed, Samer Saleh Hakami, Kyo-Beum Lee
2024	J	`jnl`	Robust Hybrid Current Control Approach for IPMSM Drives Subjected to System Uncertainty. IEEE Trans. Ind. Electron. Sadeq Ali Qasem Mohammed, Hasan Ali Gamal Al-Kaf, Kyo-Beum Lee
2021	J	`jnl`	A Comprehensive State-of-the-Art Review of Wired/Wireless Charging Technologies for Battery Electric Vehicles: Classification/Common Topologies/Future Research Issues. IEEE Access Sadeq Ali Qasem Mohammed, Jin-Woo Jung
2021	J	`jnl`	A State-of-the-Art Review on Soft-Switching Techniques for DC-DC, DC-AC, AC-DC, and AC-AC Power Converters. IEEE Trans. Ind. Informatics Sadeq Ali Qasem Mohammed, Jin-Woo Jung
2021	J	`jnl`	Improved Iterative Learning Direct Torque Control for Torque Ripple Minimization of Surface-Mounted Permanent Magnet Synchronous Motor Drives. IEEE Trans. Ind. Informatics Sadeq Ali Qasem Mohammed, Han Ho Choi, Jin-Woo Jung
2020	J	`jnl`	A Robust Adaptive PI Voltage Controller to Eliminate Impact of Disturbances and Distorted Model Parameters for 3-Phase CVCF Inverters. IEEE Trans. Ind. Informatics Sadeq Ali Qasem Mohammed, Muhammad Saad Rafaq, Han Ho Choi, Jin-Woo Jung
2020	J	`jnl`	An Improved Sliding Mode Control Technique to Mitigate Mismatched Parameter Uncertainties of Three-Phase Voltage Source Inverters. IEEE Access Muhammad Saad Rafaq, Sadeq Ali Qasem Mohammed, Han Ho Choi, Jin-Woo Jung
2020	J	`jnl`	Improved Iterative Learning Control Strategy for Surface-Mounted Permanent Magnet Synchronous Motor Drives. IEEE Trans. Ind. Electron. Sadeq Ali Qasem Mohammed, Anh Tuan Nguyen, Han Ho Choi, Jin-Woo Jung

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.