Tariq Alshawi - RankMe

22 papers A 1B 1Misc 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpretable Detector Secure Against Stealthy False Power Consumption Attacks. IEEE Trans. Netw. Serv. Manag. Islam Elgarhy, Mahmoud M. Badr, Ahmed T. Eltoukhy, Mohamed M. E. A. Mahmoud, Tariq Alshawi, Maazen Alsabaan, Mostafa M. Fouda
2025	J	`jnl`	Efficient XAI-Based Federated Learning Approach for Accurate Detection of False Data in Smart Grid. IEEE Access Islam Elgarhy, Mahmoud M. Badr, Mohamed M. E. A. Mahmoud, Tariq Alshawi, Mostafa M. Fouda, Maazen Alsabaan
2025	J	`jnl`	Investigation of the Robustness of XAI-Based Federated Learning Against Adversarial Attacks for Smart Grid False Data Detection. IEEE Internet Things J. Islam Elgarhy, Mahmoud M. Badr, Mohamed Mahmoud, Jianbing Ni, Maazen Alsabaan, Tariq Alshawi
2025	J	`jnl`	Repetitive Backdoor Attacks and Countermeasures for Smart Grid Reinforcement Incremental Learning. IEEE Internet Things J. Ahmed T. El-Toukhy, Mahmoud M. Badr, Islam Elgarhy, Mohamed Mahmoud, Maazen Alsabaan, Tariq Alshawi
2025	J	`jnl`	Securing Smart Grid Federated Learning Against Advanced Evasion Attacks Using Ensemble-Based Adversarial Training. IEEE Internet Things J. Atef H. Bondok, Mahmoud M. Badr, Mohamed M. E. A. Mahmoud, Tariq Alshawi, Jianbing Ni, Maazen Alsabaan
2025	J	`jnl`	Trojan Attack and Defense for Deep Learning Based Power Quality Disturbances Classification. IEEE Trans. Netw. Sci. Eng. Sultan Uddin Khan, Mahmoud Nabil, Mohamed M. E. A. Mahmoud, Maazen Alsabaan, Tariq Alshawi
2019	J	`jnl`	Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions. CoRR Dogancan Temel, Tariq Alshawi, Min-Hung Chen, Ghassan AlRegib
2019	J	`jnl`	SalSi: A new seismic attribute for salt dome detection. CoRR Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long, Ghassan AlRegib
2019	J	`jnl`	Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons. CoRR Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib
2019	Misc	`conf`	Ultra-Fast Saliency Detection Using Qr Factorization. ACSSC Tariq Alshawi
2019	J	`jnl`	Understanding spatial correlation in eye-fixation maps for visual attention in videos. CoRR Tariq Alshawi, Zhiling Long, Ghassan AlRegib
2019	J	`jnl`	Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection. CoRR Tariq Alshawi, Zhiling Long, Ghassan AlRegib
2018	J	`jnl`	The role of visual saliency in the automation of seismic interpretation. CoRR Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long, Ghassan AlRegib
2018	—	`—`	Uncertainty estimation of visual attention models using spatiotemporal analysis. Tariq Alshawi
2018	J	`jnl`	Unsupervised Uncertainty Estimation Using Spatiotemporal Cues in Video Saliency Detection. IEEE Trans. Image Process. Tariq Alshawi, Zhiling Long, Ghassan AlRegib
2017	B	`conf`	Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons. ICIP Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib
2016	Misc	`conf`	SalSi: A new seismic attribute for salt dome detection. ICASSP Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long, Ghassan AlRegib
2016	A	`conf`	Understanding spatial correlation in eye-fixation maps for visual attention in videos. ICME Tariq Alshawi, Zhiling Long, Ghassan AlRegib
2015	J	`jnl`	Design and Low-Complexity Implementation of Matrix-Vector Multiplier for Iterative Methods in Communication Systems. IEEE Trans. Very Large Scale Integr. Syst. Tariq Alshawi, Abdelouahab Bentrcia, Saleh A. Alshebeili
2015	—	`conf`	Unsupervised estimation of uncertainty for video saliency detection using temporal cues. GlobalSIP Tariq Alshawi, Zhiling Long, Ghassan AlRegib
2015	Misc	`conf`	Unsupervised uncertainty analysis for video saliency detection. ACSSC Tariq Alshawi, Zhiling Long, Ghassan Al-Regib
2014	J	`jnl`	EEG seizure detection and prediction algorithms: a survey. EURASIP J. Adv. Signal Process. Turky N. Alotaiby, Saleh A. Alshebeili, Tariq Alshawi, Ishtiaq Ahmad, Fathi E. Abd El-Samie

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.