Saadullah Farooq Abbasi

21 papers Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel transformer-based approach for cardiovascular disease detection. Frontiers Digit. Health Nimra Noor, Muhammad Bilal, Saadullah Farooq Abbasi, Omid Pournik, Theodoros N. Arvanitis
2025	J	`jnl`	EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification. Frontiers Comput. Neurosci. Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, Arsalan Khurshid, Yan Xu, Laishuan Wang, Saadullah Farooq Abbasi, Chen Chen, Wei Chen
2024	—	`conf`	1D-CNN-IDS: 1D CNN-based Intrusion Detection System for IIoT. ICAC Muhammad Arsalan, Muhammad Mubeen, Muhammad Bilal, Saadullah Farooq Abbasi
2024	J	`jnl`	1D-CNN-IDS: 1D CNN-based Intrusion Detection System for IIoT. CoRR Muhammad Arslan, Muhammad Mubeen, Muhammad Bilal, Saadullah Farooq Abbasi
2024	—	`conf`	A Deep Features Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification. MIPR Muhammad Arslan, Muhammad Mubeen, Arslan Akram, Saadullah Farooq Abbasi, Muhammad Salman Ali, Muhammad Usman Tariq
2024	J	`jnl`	A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification. CoRR Muhammad Arslan, Muhammad Mubeen, Arslan Akram, Saadullah Farooq Abbasi, Muhammad Salman Ali, Muhammad Usman Tariq
2024	J	`jnl`	A Self-Attention-Based Deep Convolutional Neural Networks for IIoT Networks Intrusion Detection. IEEE Access Mohammed S. Alshehri, Oumaima Saidani, Fatma S. Alrayes, Saadullah Farooq Abbasi, Jawad Ahmad
2024	J	`jnl`	A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting. CoRR Muhammad Arslan, Muhammad Mubeen, Saadullah Farooq Abbasi, Muhammad Shahbaz Khan, Wadii Boulila, Jawad Ahmad
2024	—	`conf`	Deep Learning-Based Synthetic Skin Lesion Image Classification. MIE Saadullah Farooq Abbasi, James Churm, Omid Pournik, Gregory Epiphaniou, Theodoros N. Arvanitis
2024	—	`conf`	Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning. MIE Saadullah Farooq Abbasi, Omid Pournik, Theodoros N. Arvanitis
2024	—	`conf`	INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support. MIE Parisis Gallos, Nicholas Matragkas, Saif ul Islam, Gregory Epiphaniou, Scott Hansen, Stuart Harrison, Marcel R. Haas, Giorgos Pappous, Simon Brouwer, Francesco Torlontano, Saadullah Farooq Abbasi, Omid Pournik, James Churm, John Mantas, Carlos Luis Parra Calderón, Dimitrios Petkousis, Patrick Weber, Benjamin Dzingina, Chokri Mraidha, Carsten Maple, Jim Achterberg, Marco Spruit, Evi Saratsioti, Younes Moustaghfir, Theodoros N. Arvanitis
2024	J	`jnl`	Optimizing Tumor Classification Through Transfer Learning and Particle Swarm Optimization-Driven Feature Extraction. IEEE Access Ali Akbar Siddique, Asif Raza, Mohammed S. Alshehri, Nada Alasbali, Saadullah Farooq Abbasi
2024	J	`jnl`	Single-Channel EEG Data Analysis Using a Multi-Branch CNN for Neonatal Sleep Staging. IEEE Access Hafza Ayesha Siddiqa, Zhenning Tang, Yan Xu, Laishuan Wang, Muhammad Irfan, Saadullah Farooq Abbasi, Anum Nawaz, Chen Chen, Wei Chen
2023	J	`jnl`	An IoT-Based Noncontact ECG System: Sole of the Feet/Hands Palm. IEEE Internet Things J. Muhammad Irfan, Shun Peng, Barkoum Betra Felix, Noman Mustafa, Saadullah Farooq Abbasi, Abdelwahed Nahli, Abdulhamit Subasi, Tomi Westerlund, Wei Chen
2022	J	`jnl`	Predicting Feeding Conditions of Premature Infants Through Non-Nutritive Sucking Skills Using a Sensitized Pacifier. IEEE Trans. Biomed. Eng. Saeed Akbarzadeh, Tianchan Lyu, Roozbeh Farhoodi, Muhammad Awais, Saadullah Farooq Abbasi, Xian Zhao, Chen Chen, Amara Amara, Yasemin M. Akay, Metin Akay, Wei Chen
2021	J	`jnl`	A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video. IEEE J. Biomed. Health Informatics Muhammad Awais, Xi Long, Bin Yin, Saadullah Farooq Abbasi, Saeed Akbarzadeh, Chunmei Lu, Xinhua Wang, Laishuan Wang, Jiong Zhang, Jeroen Dudink, Wei Chen
2020	J	`jnl`	EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network. IEEE Access Saadullah Farooq Abbasi, Jawad Ahmad, Ahsen Tahir, Muhammad Awais, Chen Chen, Muhammad Irfan, Hafza Ayesha Siddiqa, Abu Bakar Waqas, Xi Long, Bin Yin, Saeed Akbarzadeh, Chunmei Lu, Laishuan Wang, Wei Chen
2020	—	`conf`	Evaluation of Apgar Scores and Non-Nutritive Sucking Skills in Infants Using a Novel Sensitized Non-Nutritive Sucking System. EMBC Saeed Akbarzadeh, Roozbeh Farhoodi, Tianchan Lyu, Muhammad Awais, Xian Zhao, Saadullah Farooq Abbasi, Wei Chen
2020	J	`jnl`	Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition. IEEE Access Muhammad Awais, Chen Chen, Xi Long, Bin Yin, Anum Nawaz, Saadullah Farooq Abbasi, Saeed Akbarzadeh, Linkai Tao, Chunmei Lu, Laishuan Wang, Ronald M. Aarts, Wei Chen
2019	J	`jnl`	DNA key based visual chaotic image encryption. J. Intell. Fuzzy Syst. Jan Sher Khan, Jawad Ahmad, Saygin Siddiq Ahmed, Hafza Ayesha Siddiqa, Saadullah Farooq Abbasi, Sema Koç Kayhan
2018	—	`conf`	DNA Sequence Based Medical Image Encryption Scheme. CEEC Jan Sher Khan, Jawad Ahmad, Saadullah Farooq Abbasi, Arshad Ali, Sema Koç Kayhan

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.