Fahad Taha AL-Dhief

27 papers C 1Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Review: Zero-Watermarking Techniques Analysis for 3D Video Protection. ACM Comput. Surv. Dalal Thair, Hala Abdulwahab, Fahad Taha AL-Dhief, Nurhizam Safie
2026	J	`jnl`	Improved kidney-inspired algorithm-extreme learning machine for spoken language identification. Multim. Tools Appl. Musatafa Abbas Abbood Albadr, Masri Ayob, Sabrina Tiun, Fahad Taha AL-Dhief, Raad Z. Homod
2026	J	`jnl`	Machine learning technique for Alzheimer's disease diagnosing using online handwriting data. Neural Comput. Appl. Musatafa Abbas Abbood Albadr, Fahad Taha AL-Dhief, Raad Z. Homod
2025	J	`jnl`	A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification. IET Commun. Mohammed Ahmed Jubair, Salama A. Mostafa, Aida Mustapha, Mohamad Aizi Salamat, Mustafa Hamid Hassan, Mazin Abed Mohammed, Fahad Taha AL-Dhief
2025	J	`jnl`	Data classification based on improved cooperative genetic algorithm-extreme learning machine. Neural Comput. Appl. Musatafa Abbas Abbood Albadr, Fahad Taha AL-Dhief, Raad Z. Homod
2025	J	`jnl`	Fast Learning Network Algorithm for Voice Pathology Detection and Classification. Multim. Tools Appl. Musatafa Abbas Abbood Albadr, Masri Ayob, Sabrina Tiun, Fahad Taha AL-Dhief, Muataz Salam Al-Daweri, Raad Z. Homod, Ali Hashim Abbas
2025	J	`jnl`	Parkinson's disease diagnosis by voice data using particle swarm optimization-extreme learning machine approach. Multim. Tools Appl. Musatafa Abbas Abbood Albadr, Masri Ayob, Sabrina Tiun, Raad Z. Homod, Fahad Taha AL-Dhief, Mohammed Hasan Mutar
2024	—	`conf`	Investigating Fast Learning Network for Voice Pathology Detection. ISTT Fahad Taha AL-Dhief, Nurul Muazzah Abdul Latiff, Nik Noordini Nik Abd. Malik, Marina Mat Baki, Nor Aishah Muhammad, Musatafa Abbas Abbood Albadr
2024	J	`jnl`	Online sequential extreme learning machine approach for breast cancer diagnosis. Neural Comput. Appl. Musatafa Abbas Abbood Albadr, Fahad Taha AL-Dhief, Li Man, Anas Arram, Ali Hashim Abbas, Raad Z. Homod
2024	J	`jnl`	Particle Swarm Optimization-Based Extreme Learning Machine for COVID-19 Detection. Cogn. Comput. Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Fahad Taha AL-Dhief
2023	J	`jnl`	Grey wolf optimization-extreme learning machine for automatic spoken language identification. Multim. Tools Appl. Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Mohd Zakree Ahmad Nazri, Fahad Taha AL-Dhief
2023	—	`conf`	Voice Pathology Detection System Using Machine Learning Based on Internet of Things. SKIMA Akmal Hakim bin Sham, Nurul Muazzah Abdul Latiff, Fahad Taha AL-Dhief, Nurul Fariesya Suhaila Md Sazihan, Sanzida Rahman, Nor Aishah Muhammad
2023	—	`conf`	Voice Pathology Detection Using Decision Tree Classifier. ICTC Fahad Taha AL-Dhief, Nurul Mu'Azzah Abdul Latiff, Nik Noordini Nik Abd. Malik, Marina Mat Baki, Naseer Sabri, Musatafa Abbas Abbood Albadr, Nurul Fariesya Suhaila Md Sazihan
2022	—	`conf`	Dysphonia Detection Based on Voice Signals Using Naive Bayes Classifier. ISTT Fahad Taha AL-Dhief, Nurul Muazzah Abdul Latiff, Nik Noordini Nik Abd. Malik, Marina Mat Baki, Naseer Sabri, Musatafa Abbas Abbood Albadr
2022	J	`jnl`	Forest Fire Detection Using New Routing Protocol. Sensors Fahad Taha AL-Dhief, Ravie Chandren Muniyandi, Naseer Sabri Salim, Mosab Hamdan, Nurul Muazzah Abdul Latiff, Musatafa Abbas Abbood Albadr, Mutaz Hamed Hussien Khairi, Muzaffar Hamzah, Suleman Khan
2022	—	`conf`	Internet of Medical Things Based Telemedicine Framework for Remote Patients Triage and Emergency Medical Services. ISTT Omar Sadeq Salman, Nurul Mu'Azzah Abdul Latiff, Sharifah Hafizah Syed Arifin, Omar Hussein Salman, Fahad Taha AL-Dhief
2022	J	`jnl`	Speech emotion recognition using optimized genetic algorithm-extreme learning machine. Multim. Tools Appl. Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Fahad Taha AL-Dhief, Khairuddin Omar, Mhd Khaled Maen
2021	J	`jnl`	Detection and Classification of Conflict Flows in SDN Using Machine Learning Algorithms. IEEE Access Mutaz Hamed Hussien Khairi, Sharifah Hafizah Syed Ariffin, Nurul Muazzah Abdul Latiff, Kamaludin Mohamad Yusof, Mohamed Khalafalla Hassan, Fahad Taha AL-Dhief, Mosab Hamdan, Suleman Khan, Muzaffar Hamzah
2021	J	`jnl`	Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network. PeerJ Comput. Sci. Abdullah Lakhan, Mazin Abed Mohammed, Seifedine Nimer Kadry, Karrar Hameed Abdulkareem, Fahad Taha AL-Dhief, Ching-Hsien Hsu
2021	J	`jnl`	Mel-Frequency Cepstral Coefficient Features Based on Standard Deviation and Principal Component Analysis for Language Identification Systems. Cogn. Comput. Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Manal Mohammed, Fahad Taha AL-Dhief
2021	C	`conf`	Voice Pathology Detection Using Support Vector Machine Based on Different Number of Voice Signals. APCC Fahad Taha AL-Dhief, Nurul Muazzah Abdul Latiff, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Naseer Sabri Salim, Musatafa Abbas Abbood Albadr
2021	J	`jnl`	Voice Pathology Detection and Classification by Adopting Online Sequential Extreme Learning Machine. IEEE Access Fahad Taha AL-Dhief, Marina Mat Baki, Nurul Muazzah Abdul Latiff, Nik Noordini Nik Abd. Malik, Naseer Sabri Salim, Musatafa Abbas Abbood Albadr, Nor Muzlifah Mahyuddin, Mazin Abed Mohammed
2020	J	`jnl`	A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms. IEEE Access Fahad Taha AL-Dhief, Nurul Muazzah Abdul Latiff, Nik Noordini Nik Abd. Malik, Naseer Sabri Salim, Marina Mat Baki, Musatafa Abbas Abbood Albadr, Mazin Abed Mohammed
2020	J	`jnl`	Genetic Algorithm Based on Natural Selection Theory for Optimization Problems. Symmetry Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Fahad Taha AL-Dhief
2020	—	`conf`	Voice Pathology Detection Using Machine Learning Technique. ISTT Fahad Taha AL-Dhief, Nurul Muazzah Abdul Latiff, Nik Noordini Nik Abd. Malik, Naseer Sabri Salim, Marina Mat Baki, Musatafa Abbas Abbood Albadr, Aymen Fadhil Abbas, Yaqdhan Mahmood Hussein, Mazin Abed Mohammed
2019	J	`jnl`	A review of forest fire surveillance technologies: Mobile ad-hoc network routing protocols perspective. J. King Saud Univ. Comput. Inf. Sci. Fahad Taha AL-Dhief, Naseer Sabri Salim, S. Fouad, N. M. Abdul Latiff, Musatafa Abbas Abbood Albadr
2019	J	`jnl`	Spoken language identification based on optimised genetic algorithm-extreme learning machine approach. Int. J. Speech Technol. Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Fahad Taha AL-Dhief

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.