Fahad Alturise

32 papers Journal 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TrustEdge: A quantum-safe, self-healing framework for federated TinyML in critical ICU monitoring. Internet Things Umar Hayat Khan, Affaq Qamar, Rahim Khan, Mohamad A. Alawad, Fahad Alturise, Maqsood Hayat
2026	J	`jnl`	UQA-RAG: Enhancing Urdu Question-Answer Retrieval With Semantic Similarity and LLMs. IEEE Access Talha Farooq Khan, Muhammad Arslan, Fahad Alturise, Ahmed H. Almutairi, Muhammad Tariq Raza
2025	J	`jnl`	Attention-Driven Graph Convolutional Networks for Deadline-Constrained Virtual Machine Task Allocation in Edge Computing. IEEE Trans. Consumer Electron. Ahmad Ali, Inam Ullah, Sushil Kumar Singh, Weiwei Jiang, Fahad Alturise, Xiaoshan Bai
2025	J	`jnl`	Deep learning based prediction of RNA 5hmC modifications using composite feature representations and comparative benchmarking with transformer models. BioData Min. Muhammad Attique, Yaser Daanial Khan, Fahad Alturise, Tamim Alkhalifah
2025	J	`jnl`	Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks. Ecol. Informatics Farman Ali, Raed Alsini, Tamim Alkhalifah, Fahad Alturise, Wajdi Alghamdi, Majdi Khalid
2025	J	`jnl`	Deep-FastLASER: A Semantically Enhanced Hybrid Embedding and Deep Learning Approach for Identification of Sentimental Tweets in Arabic Language on Social Media. IEEE Access Ali Abbas Hussain, Fahad Alturise, Tamim Alkhalifah, Ansar Naseem, Yaser Daanial Khan
2025	J	`jnl`	Detection and Classification of Fig Plant Leaf Diseases Using Convolution Neural Network. Comput. Mater. Continua Rahim Khan, Ihsan Rabbi, Umar Farooq, Jawad Khan, Fahad Alturise
2025	J	`jnl`	Distributed Computing-Based Optimal Route Finding Algorithm for Trusted Devices in the Internet of Things. Comput. Mater. Continua Amal Al-Rasheed, Rahim Khan, Fahad Alturise, Salem Alkhalaf
2025	J	`jnl`	ESM-BBB-Pred: a fine-tuned ESM 2.0 and deep neural networks for the identification of blood-brain barrier peptides. Briefings Bioinform. Ansar Naseem, Fahad Alturise, Tamim Alkhalifah, Yaser Daanial Khan
2025	J	`jnl`	Exploring the Association Between Cultural Intelligence and Project Performance With the Mediation of Artificial Intelligence Abilities. J. Organ. End User Comput. Li Jing, Matac Liviu Marian, Wang Junqi, Fahad Alturise, Salem Alkhalaf
2025	J	`jnl`	HybridEdge: A Lightweight and Secure Hybrid Communication Protocol for the Edge-Enabled Internet of Things. Comput. Mater. Continua Amjad Khan, Rahim Khan, Fahad Alturise, Tamim Alkhalifah
2025	J	`jnl`	Integrating AI, Blockchain, and Edge Computing for Zero-Trust IoT Security: A Comprehensive Review of Advanced Cybersecurity Framework. Comput. Mater. Continua Inam Ullah Khan, Fida Muhammad Khan, Zeeshan Ali Haider, Fahad Alturise
2025	J	`jnl`	Short Circuit Fault Detection and Categorization for Secondary Distribution Network Using Non-Contact Magnetic Measurements. IEEE Access Naveed Khan, Kamran Mujahid, Syed Ali Abbas Kazmi, Jawad Khan, Fahad Alturise
2025	J	`jnl`	Transchain: Blockchain-Based Management of Allografts for Enhancing Data Provenance. IEEE Access Rashid Ul Haq, Rahim Khan, Fahad Alturise, Shafrida Sahrani, Salem Alkhalaf, Mahidur R. Sarker
2025	J	`jnl`	Usability Evaluation Methods and Life Skills for Individuals With Autism Spectrum Disorder: A Systematic Literature Review. IEEE Access Hamid Ullah, Sadaqat Jan, Jawad Khan, Fahad Alturise
2024	J	`jnl`	GCF-MLD: Integrated Approach for Money Laundering Detection Using Machine Learning and Graph Network Analysis. IEEE Access Faizan Irshad, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan
2024	J	`jnl`	m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models. BioData Min. Muhammad Taseer Suleman, Fahad Alturise, Tamim Alkhalifah, Yaser Daanial Khan
2023	J	`jnl`	Application of novel hybrid machine learning approach for estimation of ultimate bond strength between ultra-high performance concrete and reinforced bar. Adv. Eng. Softw. Xiaoming You, Gongxing Yan, Murtadha M. Al-Masoudy, Mohamed Amine Kadimallah, Tamim Alkhalifah, Fahad Alturise, H. Elhosiny Ali
2023	J	`jnl`	BBB-PEP-prediction: improved computational model for identification of blood-brain barrier peptides using blending position relative composition specific features and ensemble modeling. J. Cheminformatics Ansar Naseem, Fahad Alturise, Tamim Alkhalifah, Yaser Daanial Khan
2023	J	`jnl`	DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes. Comput. Biol. Chem. Muhammad Attique, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan
2023	J	`jnl`	Innovative ANN hysteresis to predict hysteretic performance of composite reinforced concrete beam. Adv. Eng. Softw. Gongxing Yan, Jie Li, Alaa Hussein Ali, Tamim Alkhalifah, Fahad Alturise, H. Elhosiny Ali
2023	J	`jnl`	Innovative composite machine learning approach for biodiesel production in public vehicles. Adv. Eng. Softw. Yun Yang, Lizhen Gao, Mohamed Abbas, Dalia H. Elkamchouchi, Tamim Alkhalifah, Fahad Alturise, Joffin Jose Ponnore
2023	J	`jnl`	Novel modified ANFIS based fuzzy logic model for performance prediction of FRCM-to-concrete bond strength. Adv. Eng. Softw. Ling Liu, Jie Li, Khidhair Jasim Mohammed, Elimam Ali, Tamim Alkhalifah, Fahad Alturise, Riadh Marzouki
2023	J	`jnl`	Potential features of building information modelling for application of project management knowledge areas as advances modeling tools. Adv. Eng. Softw. Shuzhen Chen, Yun Zeng, Ali Majdi, Anas A. Salameh, Tamim Alkhalifah, Fahad Alturise, H. Elhosiny Ali
2023	J	`jnl`	Predicting the shear strength of concrete beam through ANFIS-GA-PSO hybrid modeling. Adv. Eng. Softw. Jie Li, Gongxing Yan, Luay Hashem Abbud, Tamim Alkhalifah, Fahad Alturise, Mohamed Amine Khadimallah, Riadh Marzouki
2022	J	`jnl`	Automatic computer science domain multiple-choice questions generation based on informative sentences. PeerJ Comput. Sci. Farah Maheen, Muhammad Asif, Haseeb Ahmad, Shahbaz Ahmad, Fahad Alturise, Othman Asiry, Yazeed Yasin Ghadi
2022	J	`jnl`	Consequences of Flux Gap on Intriguing Features of Modular Stator Inset Permanent Magnet Consequent Pole Synchronous Machine. IEEE Access Wasiq Ullah, Faisal Khan, Shahid Hussain, Fahad Alturise, Muhammad Yousuf, Siddique Akbar
2022	J	`jnl`	Early Size and Effort Estimation of Mobile Application Development. EAI Endorsed Trans. Energy Web Ziema Mushtaq, Sami Alshmrany, Fahad Alturise, Tamim Alkhalifah
2022	J	`jnl`	Factors Influencing the Acceptance of Mobile Learning in K-12 Education in Saudi Arabia: Towards a Shift in the Saudi Education System vis-à-vis Saudi 2030 Vision. Int. J. Interact. Mob. Technol. Fahad Alturise, Sami Alshmrany, Tamim Alkhalifah, Salem Alkhalaf
2022	J	`jnl`	Optimized Fractional Order Integral-Tilt Derivative Controller for Frequency Regulation of Interconnected Diverse Renewable Energy Resources. IEEE Access Amil Daraz, Suheel Abdullah Malik, Ahmad Taher Azar, Sheraz Aslam, Tamim Alkhalifah, Fahad Alturise
2020	J	`jnl`	Evaluation of Blackboard Learning Management System for Full Online Courses in Western Branch Colleges of Qassim University. Int. J. Emerg. Technol. Learn. Fahad Alturise
2018	J	`jnl`	Factors Influencing Interoperability Level Required for the Implementation of T-Government in Saudi Arabia. Comput. Inf. Sci. Sameer Alshetewi, Fahad Alturise, Faten Karim

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.