Behnam Mohammad Hasani Zade

23 papers Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Game theory-based framework for efficient task scheduling in cloud computing. Clust. Comput. Zahra Jalali Khalil Abadi, Mohammad Masoud Javidi, Najme Mansouri, Behnam Mohammad Hasani Zade
2026	J	`jnl`	Innovative Drug Recommendation Systems: Decision Making Through Patient Reviews and Attention Mechanism. Int. J. Comput. Intell. Syst. Mohammad AnsariShiri, Najme Mansouri, Behnam Mohammad Hasani Zade
2025	J	`jnl`	An efficient task scheduling algorithm leveraging fuzzy quantum atom search optimizer with innovative migration for cloud computing. Clust. Comput. Behnam Mohammad Hasani Zade, Najme Mansouri, Mohammad Masoud Javidi
2025	J	`jnl`	An improved beluga whale optimization using ring topology for solving multi-objective task scheduling in cloud. Comput. Ind. Eng. Behnam Mohammad Hasani Zade, Najme Mansouri, Mohammad Masoud Javidi
2025	J	`jnl`	Attrition mill optimization algorithm: a novel approach for solving engineering optimization problems. J. Supercomput. Amir Mohammad Sharafaddini, Behnam Mohammad Hasani Zade, Najme Mansouri
2025	J	`jnl`	Stock price prediction with SCA-LSTM network and Statistical model ARIMA-GARCH. J. Supercomput. Homa Mehtarizadeh, Najme Mansouri, Behnam Mohammad Hasani Zade, Mohammad Mehdi Hosseini
2024	J	`jnl`	A Comprehensive Survey on Feature Selection with Grasshopper Optimization Algorithm. Neural Process. Lett. Hanie Alirezapour, Najme Mansouri, Behnam Mohammad Hasani Zade
2024	J	`jnl`	Multi-objective task scheduling based on PSO-Ring and intuitionistic fuzzy set. Clust. Comput. Behnam Mohammad Hasani Zade, Najme Mansouri, Mohammad Masoud Javidi
2023	J	`jnl`	A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environment. Artif. Intell. Rev. Behnam Mohammad Hasani Zade, Najme Mansouri, Mohammad Masoud Javidi
2023	J	`jnl`	An improved Caledonian crow learning algorithm based on ring topology for security-aware workflow scheduling in cloud computing. Peer Peer Netw. Appl. Behnam Mohammad Hasani Zade, Mohammad Masoud Javidi, Najme Mansouri
2022	J	`jnl`	A new feature extraction technique based on improved owl search algorithm: a case study in copper electrorefining plant. Neural Comput. Appl. Najme Mansouri, Gholam Reza Khayati, Behnam Mohammad Hasani Zade, Seyed Mohammad Javad Khorasani, Roya Kafi Hernashki
2022	J	`jnl`	A two-stage scheduler based on New Caledonian Crow Learning Algorithm and reinforcement learning strategy for cloud environment. J. Netw. Comput. Appl. Behnam Mohammad Hasani Zade, Najme Mansouri, Mohammad Masoud Javidi
2022	J	`jnl`	Improved red fox optimizer with fuzzy theory and game theory for task scheduling in cloud environment. J. Comput. Sci. Behnam Mohammad Hasani Zade, Najme Mansouri
2022	J	`jnl`	PPO: a new nature-inspired metaheuristic algorithm based on predation for optimization. Soft Comput. Behnam Mohammad Hasani Zade, Najme Mansouri
2021	J	`jnl`	A CSO-based approach for secure data replication in cloud computing environment. J. Supercomput. Najme Mansouri, Mohammad Masoud Javidi, Behnam Mohammad Hasani Zade
2021	J	`jnl`	Hierarchical data replication strategy to improve performance in cloud computing. Frontiers Comput. Sci. Najme Mansouri, Mohammad Masoud Javidi, Behnam Mohammad Hasani Zade
2021	J	`jnl`	Multi-objective scheduling technique based on hybrid hitchcock bird algorithm and fuzzy signature in cloud computing. Eng. Appl. Artif. Intell. Behnam Mohammad Hasani Zade, Najme Mansouri, Mohammad Masoud Javidi
2021	J	`jnl`	SAEA: A security-aware and energy-aware task scheduling strategy by Parallel Squirrel Search Algorithm in cloud environment. Expert Syst. Appl. Behnam Mohammad Hasani Zade, Najme Mansouri, Mohammad Masoud Javidi
2020	J	`jnl`	A multi-objective optimized replication using fuzzy based self-defense algorithm for cloud computing. J. Netw. Comput. Appl. Najme Mansouri, Behnam Mohammad Hasani Zade, Mohammad Masoud Javidi
2020	J	`jnl`	Cloud computing simulators: A comprehensive review. Simul. Model. Pract. Theory Najme Mansouri, Reyhane Ghafari, Behnam Mohammad Hasani Zade
2020	J	`jnl`	New hybrid method for attack detection using combination of evolutionary algorithms, SVM, and ANN. Comput. Networks Soodeh Hosseini, Behnam Mohammad Hasani Zade
2020	J	`jnl`	Using data mining techniques to improve replica management in cloud environment. Soft Comput. Najme Mansouri, Mohammad Masoud Javidi, Behnam Mohammad Hasani Zade
2019	J	`jnl`	Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory. Comput. Ind. Eng. Najme Mansouri, Behnam Mohammad Hasani Zade, Mohammad Masoud Javidi

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.