Leila Aissaoui Ferhi

11 papers B 2C 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive acknowledgment control in ultra-dense LoRaWAN using lightweight machine learning. Phys. Commun. Leila Aissaoui Ferhi
2025	B	`conf`	Dense IoT Deployments with LoRaWAN: Performance Evaluation and Scalability Insights. IWCMC Leila Aissaoui Ferhi, Sawsan Selmi, Manel Ben Amar, Fethi Choubani, Ridha Bouallègue
2025	B	`conf`	Intelligent Spectral Efficient Communications Underlay 6G VHetnets. IWCMC Sawsan Selmi, Leila Aissaoui Ferhi, Wyssem Fathallah, Ali Hamdi, Dhaou Bouchouicha, Hedi Sakli, Ridha Bouallègue
2025	J	`jnl`	Offline Learning for Acknowledgment Optimization in Massive LoRaWAN Networks. Internet Technol. Lett. Leila Aissaoui Ferhi
2024	C	`conf`	Advancements in Pest Management Through Remote Sensing and Artificial Intelligence for Sustainable and Smart Agriculture. AICCSA Leila Aissaoui Ferhi, Fethi Choubani, Ridha Bouallègue
2024	J	`jnl`	Empowering Medical Diagnosis: A Machine Learning Approach for Symptom-Based Health Checker. Mob. Networks Appl. Leila Aissaoui Ferhi, Manel Ben Amar, Fethi Choubani, Ridha Bouallegue
2024	J	`jnl`	Enhancing diagnostic accuracy in symptom-based health checkers: a comprehensive machine learning approach with clinical vignettes and benchmarking. Frontiers Artif. Intell. Leila Aissaoui Ferhi, Manel Ben Amar, Fethi Choubani, Ridha Bouallegue
2019	J	`jnl`	Energy Efficiency Optimization for Wireless Body Area Networks Under 802.15.6 Standard. Wirel. Pers. Commun. Leila Aissaoui Ferhi, Kaouthar Sethom, Fethi Choubani
2019	J	`jnl`	Multi-carrier, multi-band, and multi-layer cellular layouts using 3D beamforming for 5G ultradense networks. Ann. des Télécommunications Leila Aissaoui Ferhi, Kaouthar Sethom, Fethi Choubani, Ridha Bouallegue
2018	J	`jnl`	Multiobjective self-optimization of the cellular architecture for green 5G networks. Trans. Emerg. Telecommun. Technol. Leila Aissaoui Ferhi, Kaouthar Sethom, Fethi Choubani, Ridha Bouallegue
2015	J	`jnl`	Novel radio cellular design improving capacity and mobility performance for advanced cellular networks. Comput. Electr. Eng. Leila Aissaoui Ferhi, Kaouthar Sethom, Fethi Choubani, Ridha Bouallegue

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.