Tariq Daradkeh

19 papers B 1C 4Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A new multilingual framework for fake reviews detection based on a large language model. J. Supercomput. Rami Mohawesh, Ahmed Abdallah AlQarni, Suboh M. Alkhushayni, Tariq Daradkeh, Haythem Bany Salameh
2025	J	`jnl`	Virtual machine scheduling and migration management across multi-cloud data centers: blockchain-based versus centralized frameworks. J. Cloud Comput. Mohammad A. Altahat, Tariq Daradkeh, Anjali Agarwal
2024	—	`conf`	HPC Jobs Classification and Resource Prediction to Minimize Job Failures. CompSysTech Tariq Daradkeh, Gillian Roper, Carlos Alarcon Meza, Serguei A. Mokhov
2024	J	`jnl`	Optimized Encryption-Integrated Strategy for Containers Scheduling and Secure Migration in Multi-Cloud Data Centers. IEEE Access Mohammad A. Altahat, Tariq Daradkeh, Anjali Agarwal
2023	J	`jnl`	Modeling and optimizing micro-service based cloud elastic management system. Simul. Model. Pract. Theory Tariq Daradkeh, Anjali Agarwal
2023	—	`conf`	The use of Containers in OpenGL, ML and HPC for Teaching and Research Support. SIGGRAPH Posters Serguei A. Mokhov, Jonathan Llewellyn, Carlos Alarcon Meza, Tariq Daradkeh, Gillian Roper
2022	J	`jnl`	Cloud Workload and Data Center Analytical Modeling and Optimization Using Deep Machine Learning. Network Tariq Daradkeh, Anjali Agarwal
2021	—	`conf`	Analytical Modeling and Prediction of Cloud Workload. ICC Workshops Tariq Daradkeh, Anjali Agarwal, Marzia Zaman, Ricardo Manzano S.
2021	J	`jnl`	Proactive Failure-Aware Task Scheduling Framework for Cloud Computing. IEEE Access Yanal Alahmad, Tariq Daradkeh, Anjali Agarwal
2020	C	`conf`	Cost and Availability-Aware VNF Selection and Placement for Network Services in NFV. ISNCC Yanal Alahmad, Anjali Agarwal, Tariq Daradkeh
2020	J	`jnl`	Dynamic K-Means Clustering of Workload and Cloud Resource Configuration for Cloud Elastic Model. IEEE Access Tariq Daradkeh, Anjali Agarwal, Marzia Zaman, Nishith Goel
2020	C	`conf`	Multiple Attributes K-Means Clustering for Elastic Cloud Model. ISNCC Tariq Daradkeh, Anjali Agarwal, Yanal Alahmad
2019	—	`conf`	Google Traces Analysis for Deep Machine Learning Cloud Elastic Model. SmartNets Tariq Daradkeh, Anjali Agarwal, Nishith Goel, Jim Kozlowski
2019	—	`conf`	Optimized Availability-Aware Component Scheduler for Applications in Container-Based Cloud. SDS Yanal Alahmad, Tariq Daradkeh, Anjali Agarwal
2019	—	`conf`	Point Estimator Log Tracker for Cloud Monitoring. INFOCOM Workshops Tariq Daradkeh, Anjali Agarwal, Nishith Goel, A. James Kozlowski
2018	C	`conf`	Availability-Aware Container Scheduler for Application Services in Cloud. IPCCC Yanal Alahmad, Tariq Daradkeh, Anjali Agarwal
2018	C	`conf`	High Availability Management for Applications Services in the Cloud Container-Based Platform. AICCSA Yanal Alahmad, Anjali Agarwal, Tariq Daradkeh
2018	—	`conf`	Real Time Metering of Cloud Resource Reading Accurate Data Source Using Optimal Message Serialization and Format. IEEE CLOUD Tariq Daradkeh, Anjali Agarwal, Nishith Goel, Marzia Zaman
2016	B	`conf`	Distributed Shared Memory Based Live VM Migration. CLOUD Tariq Daradkeh, Anjali Agarwal

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.