Fawaz Khaled Alarfaj

34 papers A 1C 2Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A deep learning model leveraging semantic features fusion for DNase I hypersensitive sites identification in the human genome. Comput. Methods Programs Biomed. Fawaz Khaled Alarfaj, Muhammad Tahir, Gautam Srivastava
2026	J	`jnl`	A real-time large language model framework with attention and embedding representations for misinformation detection. Eng. Appl. Artif. Intell. Fawaz Khaled Alarfaj, Hikmat Ullah Khan, Anam Naz, Naif Almusallam
2025	J	`jnl`	AI-Enhanced Differential Privacy Architecture for Securing Consumer Internet of Things (CIoT) Data. IEEE Trans. Consumer Electron. Waqas Ali, Muhammad Amin, Fawaz Khaled Alarfaj, Yasser D. Al-Otaibi, Sajid Anwar
2025	J	`jnl`	Analyzing student mental health with RoBERTa-Large: a sentiment analysis and data analytics approach. Frontiers Big Data Hikmat Ullah Khan, Anam Naz, Fawaz Khaled Alarfaj, Naif Almusallam
2025	J	`jnl`	Aspect-Based Sentiment Analysis: A Comprehensive Review and Open Research Challenges. IEEE Access Waqas Ahmad, Hikmat Ullah Khan, Fawaz Khaled Alarfaj, Mohammed Alreshoodi
2025	J	`jnl`	Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention. IEEE Access Fawaz Khaled Alarfaj, Shabnam Shahzadi
2025	J	`jnl`	Optimizing service level agreement in cloud computing with smart virtual machine scheduling using clustered differential evolution and deep learning. J. Netw. Comput. Appl. Tassawar Ali, Hikmat Ullah Khan, Babar Nazir, Fawaz Khaled Alarfaj, Mohammed Alreshoodi
2025	J	`jnl`	Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency. Ann. Oper. Res. Usama Arshad, Gohar Khan, Fawaz Khaled Alarfaj, Zahid Halim, Sajid Anwar
2025	J	`jnl`	Spectrogram Features-Based Automatic Speaker Identification For Smart Services. Appl. Artif. Intell. Rashid Jahangir, Mohammed Alreshoodi, Fawaz Khaled Alarfaj
2025	J	`jnl`	m5c-iEnsem: 5-methylcytosine sites identification through ensemble models. Bioinform. Anas Bilal, Fawaz Khaled Alarfaj, Rafaqat Alam Khan, Muhammad Taseer Suleman, Haixia Long
2024	J	`jnl`	An Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences. Comput. Biol. Medicine Muhammad Tahir, Shahid Hussain, Fawaz Khaled Alarfaj
2024	J	`jnl`	Hybrid deep learning and evolutionary algorithms for accurate cloud workload prediction. Computing Tassawar Ali, Hikmat Ullah Khan, Fawaz Khaled Alarfaj, Mohammed Alreshoodi
2024	J	`jnl`	StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning. BMC Bioinform. Gul Rukh, Shahid Akbar, Gauhar Rehman, Fawaz Khaled Alarfaj, Quan Zou
2024	J	`jnl`	iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks. Artif. Intell. Medicine Shahid Akbar, Quan Zou, Ali Raza, Fawaz Khaled Alarfaj
2023	J	`jnl`	Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position. Intell. Autom. Soft Comput. Waqas Ahmad, Hikmat Ullah Khan, Fawaz Khaled Alarfaj, Saqib Iqbal, Abdullah M. Alomair, Naif Almusallam
2023	J	`jnl`	Deep Dive into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods. Algorithms Fawaz Khaled Alarfaj, Jawad Abbas Khan
2023	J	`jnl`	Differential Evolution and Agglomerative-Clustering-Based Mutation Strategy for Complex Numerical Optimization Problems. Symmetry Tassawar Ali, Hikmat Ullah Khan, Tasswar Iqbal, Fawaz Khaled Alarfaj, Abdullah M. Alomair, Naif Almusallam
2023	J	`jnl`	On solving textual ambiguities and semantic vagueness in MRC based question answering using generative pre-trained transformers. PeerJ Comput. Sci. Muzamil Ahmed, Hikmat Ullah Khan, Tassawar Iqbal, Fawaz Khaled Alarfaj, Abdullah M. Alomair, Naif Almusallam
2023	J	`jnl`	Opinion Mining from Online Travel Reviews: An Exploratory Investigation on Pakistan Major Online Travel Services Using Natural Language Processing. IEEE Access Bushra Kanwal, Saif Ur Rehman, Azhar Imran, Rana Saud Shaukat, Jianqiang Li, Abdulkareem Alzahrani, Ans D. Alghamdi, Fawaz Khaled Alarfaj
2022	J	`jnl`	Application of a Machine Learning Algorithm for Evaluation of Stiff Fractional Modeling of Polytropic Gas Spheres and Electric Circuits. Symmetry Fawaz Khaled Alarfaj, Naveed Ahmad Khan, Muhammad Sulaiman, Abdullah M. Alomair
2022	J	`jnl`	CCrFS: Combine Correlation Features Selection for Detecting Phishing Websites Using Machine Learning. Future Internet Jimmy Moedjahedy, Arief Setyanto, Fawaz Khaled Alarfaj, Mohammed Alreshoodi
2022	J	`jnl`	Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms. IEEE Access Fawaz Khaled Alarfaj, Iqra Malik, Hikmat Ullah Khan, Naif Almusallam, Muhammad Ramzan, Muzamil Ahmed
2022	J	`jnl`	Hybrid Clustering and Routing Algorithm with Threshold-Based Data Collection for Heterogeneous Wireless Sensor Networks. Sensors Muhammad Bilal, Ehsan Ullah Munir, Fawaz Khaled Alarfaj
2022	J	`jnl`	NLP-BCH-Ens: NLP-based intelligent computational model for discrimination of malaria parasite. Comput. Biol. Medicine Maqsood Hayat, Muhammad Tahir, Fawaz Khaled Alarfaj, Ryan Alturki, Foziah Gazzawe
2022	J	`jnl`	Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile. Comput. Biol. Medicine Asad Jan, Maqsood Hayat, Mohammad O. Wedyan, Ryan Alturki, Foziah Gazzawe, Hashim Ali, Fawaz Khaled Alarfaj
2022	J	`jnl`	cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model. Artif. Intell. Medicine Shahid Akbar, Maqsood Hayat, Muhammad Tahir, Salman Khan, Fawaz Khaled Alarfaj
2021	J	`jnl`	Investigation of Non-Linear MHD Jeffery-Hamel Blood Flow Model Using a Hybrid Metaheuristic Approach. IEEE Access Irfan Ur Rahman, Muhammad Sulaiman, Fawaz Khaled Alarfaj, Poom Kumam, Ghaylen Laouini
2018	C	`conf`	Toward secure packet delivery in future internet communications. ICCE Bander A. Alzahrani, Mohammed Alreshoodi, Vassilios Vassilaki, Abdullah Almuhaimeed, Fawaz Khaled Alarfaj
2016	—	`—`	Entity finding in a document collection using adaptive window sizes. Fawaz Khaled Alarfaj
2016	C	`conf`	QoE-enabled efficient resource allocation for H.264 video streaming over WiMAX. ICCE Mohammed Alreshoodi, Emad Danish, John Woods, Anil Fernando, Fawaz Khaled Alarfaj
2015	—	`conf`	Experiments with Query Expansion for Entity Finding. CICLing (2) Fawaz Khaled Alarfaj, Udo Kruschwitz, Chris Fox
2014	A	`conf`	Exploring Adaptive Window Sizes for Entity Retrieval. ECIR Fawaz Khaled Alarfaj, Udo Kruschwitz, Chris Fox
2013	—	`conf`	An Adaptive Window-Size Approach for Expert-Finding. DIR Fawaz Khaled Alarfaj, Udo Kruschwitz, Chris Fox
2012	—	`conf`	Finding the Right Supervisor: Expert-Finding in a University Domain. HLT-NAACL Fawaz Khaled Alarfaj, Udo Kruschwitz, David Hunter, Chris Fox

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.