Faramarz Safi Esfahani

23 papers Misc 1Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	RAG/LLM Augmented Switching Driven Polymorphic Metaheuristic Framework. CoRR Faramarz Safi Esfahani, Ghassan Beydoun, Morteza Saberi, Brad McCusker, Biswajeet Pradhan
2023	J	`jnl`	Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine. Appl. Soft Comput. Zahra-Sadat Asaei-Moamam, Faramarz Safi Esfahani, Seyedali Mirjalili, Reza Mohammadpour, Mohammad-Hossein Nadimi-Shahraki
2023	J	`jnl`	DAerosol-NTM: applying deep learning and neural Turing machine in aerosol prediction. Neural Comput. Appl. Zahra-Sadat Asaei-Moamam, Faramarz Safi Esfahani, Seyedali Mirjalili, Reza Mohammadpour, Mohammad-Hossein Nadimi-Shahraki
2021	J	`jnl`	Time and structural anomalies detection in business processes using process mining. Int. J. Bus. Intell. Data Min. Elham Saeedi, Faramarz Safi Esfahani
2019	J	`jnl`	A review on Neural Turing Machine. CoRR Soroor Malekmohamadi Faradonbe, Faramarz Safi Esfahani
2019	J	`jnl`	Workflow scheduling applying adaptable and dynamic fragmentation (WSADF) based on runtime conditions in cloud computing. Future Gener. Comput. Syst. Zahra Momenzadeh, Faramarz Safi Esfahani
2018	J	`jnl`	A dynamic task scheduling framework based on chicken swarm and improved raven roosting optimization methods in cloud computing. J. Supercomput. Shadi Torabi, Faramarz Safi Esfahani
2018	J	`jnl`	Energy-efficient placement of virtual machines in cloud data centres based on fuzzy decision making. Int. J. Grid Util. Comput. Leili Salimian, Faramarz Safi Esfahani
2018	J	`jnl`	Improved Raven Roosting Optimization algorithm (IRRO). Swarm Evol. Comput. Shadi Torabi, Faramarz Safi Esfahani
2018	J	`jnl`	RePro-Active: a reactive-proactive scheduling method based on simulation in cloud computing. J. Supercomput. Noroddin Alaei, Faramarz Safi Esfahani
2018	J	`jnl`	VMDFS: virtual machine dynamic frequency scaling framework in cloud computing. J. Supercomput. Kiamars Shojaei, Faramarz Safi Esfahani, Saeed Ayat
2017	J	`jnl`	A threshold sensitive failure prediction method using support vector machine. Multiagent Grid Syst. Ahmad Fadaei Tehrani, Faramarz Safi Esfahani
2017	J	`jnl`	ATSDS: adaptive two-stage deadline-constrained workflow scheduling considering run-time circumstances in cloud computing environments. J. Supercomput. Reihaneh Khorsand, Faramarz Safi Esfahani, Naser Nematbakhsh, Mehran Mohsenzadeh
2017	J	`jnl`	Taxonomy of workflow partitioning problems and methods in distributed environments. J. Syst. Softw. Reihaneh Khorsand, Faramarz Safi Esfahani, Naser Nematbakhsh, Mehran Mohsenzadeh
2016	—	`conf`	A Plagiarism Detection Approach Based on SVM for Persian Texts. FIRE (Working Notes) Fezeh Esteki, Faramarz Safi Esfahani
2016	J	`jnl`	An adaptive fuzzy threshold-based approach for energy and performance efficient consolidation of virtual machines. Computing Leili Salimian, Faramarz Safi Esfahani, Mohammad-Hossein Nadimi-Shahraki
2016	J	`jnl`	QoS-based Web Service Composition Applying an Improved Genetic Algorithm (IGA) Method. Int. J. Enterp. Inf. Syst. Pooya Shahrokh, Faramarz Safi Esfahani
2015	J	`jnl`	Knowledge-based adaptable scheduler for SaaS providers in cloud computing. Hum. centric Comput. Inf. Sci. Farzaneh Motavaselalhagh, Faramarz Safi Esfahani, Hamid Reza Arabnia
2014	J	`jnl`	A framework for context-aware web service composition using planning techniques. Multiagent Grid Syst. Maryam Omid, Faramarz Safi Esfahani, Mohammad-Hossein Nadimi-Shahraki
2011	J	`jnl`	Adaptable Decentralized Service Oriented Architecture. J. Syst. Softw. Faramarz Safi Esfahani, Masrah Azrifah Azmi Murad, Md. Nasir bin Sulaiman, Nur Izura Udzir
2009	—	`conf`	A Frequent Path Mining Algorithm to Intelligent Business Process Decomposition. SWWS Faramarz Safi Esfahani, Masrah Azrifah Azmi Murad, Md Nasir Sulaiman, Nur Izura Udzir
2009	—	`conf`	SLA-Driven Business Process Distribution. eKNOW Faramarz Safi Esfahani, Masrah Azrifah Azmi Murad, Md Nasir Sulaiman, Nur Izura Udzir
2009	Misc	`conf`	Using process mining to business process distribution. SAC Faramarz Safi Esfahani, Masrah Azrifah Azmi Murad, Md Nasir Sulaiman, Nur Izura Udzir

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.