Tarek Abd El-Hafeez

37 papers Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel YOLOv11 framework for enhanced tomato disease detection. PeerJ Comput. Sci. Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez
2025	J	`jnl`	Advancing crop health with YOLOv11 classification of plant diseases. Neural Comput. Appl. Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez
2025	J	`jnl`	DenseNet Model with Attention Mechanisms for Robust Date Fruit Image Classification. Int. J. Comput. Intell. Syst. Esraa Hassan, Sarah Abu Ghazalah, Nora El-Rashidy, Tarek Abd El-Hafeez, Mahmoud Y. Shams
2025	J	`jnl`	Enhanced dysarthria detection in cerebral palsy and ALS patients using WaveNet and CNN-BiLSTM models: A comparative study with model interpretability. Biomed. Signal Process. Control. Esraa Hassan, Abeer Saber, Tarek Abd El-Hafeez, T. Medhat, Mahmoud Y. Shams
2025	J	`jnl`	Exploring the frontiers of image super-resolution: a review of modern techniques and emerging applications. Neural Comput. Appl. Esraa Hassan, Nora El-Rashidy, Samar Elbedwehy, Tarek Abd El-Hafeez, Abeer Saber, Mahmoud Y. Shams
2025	J	`jnl`	Identifying key genetic variants in Alzheimer's disease progression using Graph Convolutional Networks (GCN) and biological impact analysis. J. Big Data Belal A. Hamed, Heba Mamdouh Farghaly, Ahmed Omar, Tarek Abd El-Hafeez
2025	J	`jnl`	Particle swarm optimization framework for Parkinson's disease prediction. PeerJ Comput. Sci. Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez
2024	J	`jnl`	Acoustic data detection in large-scale emergency vehicle sirens and road noise dataset. Expert Syst. Appl. Mahmoud Y. Shams, Tarek Abd El-Hafeez, Esraa Hassan
2024	J	`jnl`	Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods. J. Big Data Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed
2024	—	`conf`	Classification of University Excellence: A Multi-dimensional Exploration of Ranking Criteria Using Data Science and Visualization Technology. AISI (2) Amr Mohamed El Koshiry, Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez, Ahmed Omar
2024	J	`jnl`	Comparative performance of ensemble machine learning for Arabic cyberbullying and offensive language detection. Lang. Resour. Evaluation Marwa Khairy, Tarek M. Mahmoud, Ahmed Omar, Tarek Abd El-Hafeez
2024	J	`jnl`	Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique. PeerJ Comput. Sci. Amr Mohamed El Koshiry, Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez, Marwa Khairy
2024	J	`jnl`	Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms. J. Big Data Ghada Mostafa, Hamdi Mahmoud, Tarek Abd El-Hafeez, Mohamed E. ElAraby
2024	J	`jnl`	Optimal Gasoline Price Predictions: Leveraging the ANFIS Regression Model. Int. J. Intell. Syst. Entesar Hamed I. Eliwa, Amr Mohamed El Koshiry, Tarek Abd El-Hafeez, Ahmed Omar
2024	J	`jnl`	Optimizing epileptic seizure recognition performance with feature scaling and dropout layers. Neural Comput. Appl. Ahmed Omar, Tarek Abd El-Hafeez
2024	J	`jnl`	Optimizing poultry audio signal classification with deep learning and burn layer fusion. J. Big Data Esraa Hassan, Samar Elbedwehy, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Nora El-Rashidy
2024	J	`jnl`	The effect of rebalancing techniques on the classification performance in cyberbullying datasets. Neural Comput. Appl. Marwa Khairy, Tarek M. Mahmoud, Tarek Abd El-Hafeez
2024	J	`jnl`	The power of deep learning in simplifying feature selection for hepatocellular carcinoma: a review. BMC Medical Informatics Decis. Mak. Ghada Mostafa, Hamdi Mahmoud, Tarek Abd El-Hafeez, Mohamed E. ElAraby
2023	J	`jnl`	A high-quality feature selection method based on frequent and correlated items for text classification. Soft Comput. Heba Mamdouh Farghaly, Tarek Abd El-Hafeez
2023	J	`jnl`	A new fast technique for pattern matching in biological sequences. J. Supercomput. Osman Ali Sadek Ibrahim, Belal A. Hamed, Tarek Abd El-Hafeez
2023	J	`jnl`	Arabic Toxic Tweet Classification: Leveraging the AraBERT Model. Big Data Cogn. Comput. Amr Mohamed El Koshiry, Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez, Ahmed Omar
2023	J	`jnl`	Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt. Knowl. Inf. Syst. Heba Mamdouh Farghaly, Mahmoud Y. Shams, Tarek Abd El-Hafeez
2023	J	`jnl`	Innovative Hybrid Approach for Masked Face Recognition Using Pretrained Mask Detection and Segmentation, Robust PCA, and KNN Classifier. Sensors Mohammed Eman, Tarek M. Mahmoud, Mostafa Mahmoud Ibrahim, Tarek Abd El-Hafeez
2023	J	`jnl`	Optimizing classification efficiency with machine learning techniques for pattern matching. J. Big Data Belal A. Hamed, Osman Ali Sadek Ibrahim, Tarek Abd El-Hafeez
2022	J	`jnl`	A new feature selection method based on frequent and associated itemsets for text classification. Concurr. Comput. Pract. Exp. Heba Mamdouh Farghaly, Tarek Abd El-Hafeez
2022	J	`jnl`	A survey on improving pattern matching algorithms for biological sequences. Concurr. Comput. Pract. Exp. Belal A. Hamed, Osman Ali Sadek Ibrahim, Tarek Abd El-Hafeez
2021	—	`conf`	Automatic Detection of Cyberbullying and Abusive Language in Arabic Content on Social Networks: A Survey. ACLING Marwa Khairy, Tarek M. Mahmoud, Tarek Abd El-Hafeez
2021	J	`jnl`	Multi-label Arabic text classification in Online Social Networks. Inf. Syst. Ahmed Omar, Tarek M. Mahmoud, Tarek Abd El-Hafeez, Ahmed Mahfouz
2021	—	`conf`	Privacy Issues of Public Wi-Fi Networks. AICV Ahmed Y. Lotfy, Alaa M. Zaki, Tarek Abd El-Hafeez, Tarek M. Mahmoud
2021	—	`conf`	User Awareness of Privacy, Reporting System and Cyberbullying on Facebook. AMLTA Marwa Khairy, Tarek M. Mahmoud, Tarek Abd El-Hafeez, Ahmed Mahfouz
2020	—	`conf`	Comparative Performance of Machine Learning and Deep Learning Algorithms for Arabic Hate Speech Detection in OSNs. AICV Ahmed Omar, Tarek M. Mahmoud, Tarek Abd El-Hafeez
2020	—	`conf`	Developing an Efficient Method for Automatic Threshold Detection Based on Hybrid Feature Selection Approach. CSOC (2) Heba Mamdouh Farghaly, Abdelmgeid A. Ali, Tarek Abd El-Hafeez
2018	—	`conf`	Building Online Social Network Dataset for Arabic Text Classification. AMLTA Ahmed Omar, Tarek M. Mahmoud, Tarek Abd El-Hafeez
2018	—	`conf`	Face Recognition Based on Grey Wolf Optimization for Feature Selection. AISI Abd AL-BastRashed Saabia, Tarek Abd El-Hafeez, Alaa M. Zaki
2012	J	`jnl`	A Highly Efficient Content Based Approach to Filter Pornography Websites. Int. J. Comput. Vis. Image Process. Tarek M. Mahmoud, Tarek Abd El-Hafeez, Ahmed Omar
2012	J	`jnl`	New Edge Detection Technique based on the Shannon Entropy in Gray Level Images CoRR Mohamed A. El-Sayed, Tarek Abd El-Hafeez
2010	J	`jnl`	A New Effective System for Filtering Pornography Images from Web Pages and PDF Files. Int. J. Web Appl. Moheb R. Girgis, Tarek M. Mahmoud, Tarek Abd El-Hafeez

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.