Raneem Qaddoura

30 papers B 2C 1Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A harris hawks optimized SVM framework for securing IoT networks through attack detection and feature analysis. Discov. Internet Things Dana Al Qudah, Ala' M. Al-Zoubi, Bashar Al-Shboul, Bilal Abu-Salih, Raneem Qaddoura, Mohammad Hijjawi
2025	J	`jnl`	A hybrid TwinSVM-HHO model for multilingual spam review detection using sentiment features and pre-trained embeddings. Expert Syst. Appl. Ala' M. Al-Zoubi, Antonio M. Mora, Hossam Faris, Raneem Qaddoura
2024	J	`jnl`	A new approach for solving global optimization and engineering problems based on modified Sea Horse Optimizer. CoRR Fatma A. Hashim, Reham R. Mostafa, Ruba Abu Khurma, Raneem Qaddoura, Pedro A. Castillo
2024	J	`jnl`	Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection. J. Supercomput. Raneem Qaddoura, Hossam Faris
2024	J	`jnl`	Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenarios. Ad Hoc Networks Raneem Qaddoura, Maram Bani Younes, Azzedine Boukerche
2023	—	`conf`	A Metaheuristic Approach for Life Expectancy Prediction based on Automatically Fine-tuned Models with Feature Selection. AIBThings Raneem Qaddoura, Mariam M. Biltawi, Hossam Faris
2023	J	`jnl`	A multi-strategy enhanced African vultures optimization algorithm for global optimization problems. J. Comput. Des. Eng. Rong Zheng, Abdelazim G. Hussien, Raneem Qaddoura, Heming Jia, Laith Abualigah, Shuang Wang, Abeer Saber
2023	J	`jnl`	A new approach for solving global optimization and engineering problems based on modified sea horse optimizer. J. Comput. Des. Eng. Fatma A. Hashim, Reham R. Mostafa, Ruba Abu Khurma, Raneem Qaddoura, Pedro A. Castillo
2023	—	`ed.`	Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings EvoApplications@EvoStar João Correia, Stephen L. Smith, Raneem Qaddoura
2023	J	`jnl`	Deep neural networks in the cloud: Review, applications, challenges and research directions. Neurocomputing Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, Ala' M. Al-Zoubi, Vasile Palade, Duc-Son Pham, Javier Del Ser, Khan Muhammad
2023	—	`conf`	Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification. AIAI (1) Mariam M. Biltawi, Raneem Qaddoura, Hossam Faris
2023	J	`jnl`	Temporal prediction of traffic characteristics on real road scenarios in Amman. J. Ambient Intell. Humaniz. Comput. Raneem Qaddoura, Maram Bani Younes
2023	J	`jnl`	The development of a road network flood risk detection model using optimised ensemble learning. Eng. Appl. Artif. Intell. Bilal Abu-Salih, Pornpit Wongthongtham, Kevin Coutinho, Raneem Qaddoura, Omar Alshaweesh, Mohammad O. Wedyan
2022	B	`conf`	EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python. EvoApplications Anh T. Dang, Raneem Qaddoura, Ala' M. Al-Zoubi, Hossam Faris, Pedro A. Castillo
2022	—	`conf`	Machine Learning Based Prediction with Parameters Tuning of Multi-Label Real Road Vehicles Characteristics. PE-WASUN Raneem Qaddoura, Maram Bani Younes, Azzedine Boukerche
2022	J	`jnl`	Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution. IEEE Access Ruba Obiedat, Raneem Qaddoura, Ala' M. Al-Zoubi, Laila Al Qaisi, Osama Harfoushi, Mo'ath Alrefai, Hossam Faris
2021	J	`jnl`	A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning. Sensors Raneem Qaddoura, Ala' M. Al-Zoubi, Hossam Faris, Iman M. Almomani
2021	J	`jnl`	A Predictive Text System for Medical Recommendations in Telemedicine: A Deep Learning Approach in the Arabic Context. IEEE Access Maria Habib, Mohammad Faris, Raneem Qaddoura, Alaa Alomari, Hossam Faris
2021	J	`jnl`	An Intelligent Hybrid Sentiment Analyzer for Personal Protective Medical Equipments Based on Word Embedding Technique: The COVID-19 Era. Symmetry Ruba Obiedat, Laila Al Qaisi, Raneem Qaddoura, Osama Harfoushi, Ala' M. Al-Zoubi
2021	J	`jnl`	An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis. J. Ambient Intell. Humaniz. Comput. Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah
2021	J	`jnl`	Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data. IEEE Access Iman M. Almomani, Raneem Qaddoura, Maria Habib, Samah Alsoghyer, Aala Al Khayer, Ibrahim Aljarah, Hossam Faris
2021	J	`jnl`	EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework. SN Comput. Sci. Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Pedro A. Castillo
2021	J	`jnl`	Intelligent detection of hate speech in Arabic social network: A machine learning approach. J. Inf. Sci. Ibrahim Aljarah, Maria Habib, Neveen Mohammed Hijazi, Hossam Faris, Raneem Qaddoura, Bassam Hammo, Mohammad Abd-Alrahman Mahmoud Abushariah, Mohammad Alfawareh
2021	—	`conf`	Predicting Different Types of Imbalanced Intrusion Activities Based on a Multi-Stage Deep Learning Approach. ICIT Raneem Qaddoura, Ala' M. Al-Zoubi, Iman M. Almomani, Hossam Faris
2021	—	`conf`	Predicting Traffic Characteristics of Real Road Scenarios in Jordan and Gulf Region. Q2SWinet Raneem Qaddoura, Maram Bani Younes, Azzedine Boukerche
2021	J	`jnl`	Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach. Sensors Maria Habib, Mohammad Faris, Raneem Qaddoura, Manal Alomari, Alaa Alomari, Hossam Faris
2020	J	`jnl`	An efficient clustering algorithm based on the Int. J. Mach. Learn. Cybern. Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah
2020	J	`jnl`	Dental radiography segmentation using expectation-maximization clustering and grasshopper optimizer. Multim. Tools Appl. Raneem Qaddoura, Waref Al Manaseer, Mohammad A. M. Abushariah, Mohammad Aref Alshraideh
2020	C	`conf`	Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm. IJCCI Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Juan Julián Merelo Guervós, Pedro A. Castillo
2020	B	`conf`	EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python. EvoApplications Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Pedro A. Castillo

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.