Eman H. Alkhammash

23 papers Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DynamicSwin-Fire: A Dynamic Swin Transformer With Fire-Specific Attention and Edge-Guided Gradient Fusion for Robust Fire Segmentation. IEEE Trans. Geosci. Remote. Sens. Naveed Ahmad, Mariam Akbar, Eman H. Alkhammash, Mona M. Jamjoom
2025	J	`jnl`	Intelligent reflective surfaces in 5G and beyond: optimizing uplink satellite connectivity for IoT. PeerJ Comput. Sci. Callistus Odinaka Obidiozor, Adeeb Sait, Tawfik Al Hadhrami, Eman H. Alkhammash, Faisal Saeed
2025	J	`jnl`	QFS-MSGRU: Quantum Feature Selection Approach Integrate With Multi-Scale GRU Networks for Robust Parkinson's Disease Prediction. IEEE Access Naveed Ahmad, Mariam Akbar, Eman H. Alkhammash, Mona M. Jamjoom
2024	J	`jnl`	Online Adaptive Kalman Filtering for Real-Time Anomaly Detection in Wireless Sensor Networks. Sensors Rami Ahmad, Eman H. Alkhammash
2023	J	`jnl`	Selection of Metaheuristic Algorithm to Design Wireless Sensor Network. Intell. Autom. Soft Comput. Rakhshan Zulfiqar, Tariq Javed, Zain Anwar Ali, Eman H. Alkhammash, Myriam Hadjouni
2022	J	`jnl`	A Fuzzy-Based Context-Aware Misbehavior Detecting Scheme for Detecting Rogue Nodes in Vehicular Ad Hoc Network. Sensors Fuad A. Ghaleb, Faisal Saeed, Eman H. Alkhammash, Norah Saleh Alghamdi, Bander Ali Saleh Al-rimy
2022	J	`jnl`	A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering. Sensors Safi Ullah, Jawad Ahmad, Muazzam Ali Khan, Eman H. Alkhammash, Myriam Hadjouni, Yazeed Ghadi, Faisal Saeed, Nikolaos Pitropakis
2022	J	`jnl`	An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection. Sensors Mohammed Al-Sarem, Faisal Saeed, Eman H. Alkhammash, Norah Saleh Alghamdi
2022	J	`jnl`	Convergence Analysis of Path Planning of Multi-UAVs Using Max-Min Ant Colony Optimization Approach. Sensors Muhammad Shafiq, Zain Anwar Ali, Amber Israr, Eman H. Alkhammash, Myriam Hadjouni, Jari Juhani Jussila
2022	J	`jnl`	Data Augmentation Using BiWGAN, Feature Extraction and Classification by Hybrid 2DCNN and BiLSTM to Detect Non-Technical Losses in Smart Grids. IEEE Access Muhammad Asif, Orooj Nazeer, Nadeem Javaid, Eman H. Alkhammash, Myriam Hadjouni
2022	—	`ch.`	Digital Twin Solutions for Textile Industry: Architecture, Services, and Challenges. Digital Twins for Digital Transformation Eman H. Alkhammash, Wahiba Ben Abdessalem Karaa, Nesrine Bhouri, Saber Ben Abdessalem, Aboul Ella Hassanien
2022	J	`jnl`	Non-Technical Losses Detection Using Autoencoder and Bidirectional Gated Recurrent Unit to Secure Smart Grids. IEEE Access Pamir, Nadeem Javaid, Umar Qasim, Adamu Sani Yahaya, Eman H. Alkhammash, Myriam Hadjouni
2022	J	`jnl`	Secure Message Handling in Vehicular Energy Networks Using Blockchain and Artificially Intelligent IPFS. IEEE Access Muhammad Umar Javed, Abid Jamal, Eman H. Alkhammash, Myriam Hadjouni, Saeed Ali Bahaj, Nadeem Javaid
2022	J	`jnl`	Trustworthy smart city systems using refinement and Event-B Theories. Multim. Tools Appl. Eman H. Alkhammash
2021	J	`jnl`	A Leader-Follower Formation Control of Multi-UAVs via an Adaptive Hybrid Controller. Complex. Zain Anwar Ali, Amber Israr, Eman H. Alkhammash, Myriam Hadjouni
2021	J	`jnl`	Drug Disease Relation Extraction from Biomedical Literature Using NLP and Machine Learning. Mob. Inf. Syst. Wahiba Ben Abdessalem Karaa, Eman H. Alkhammash, Aida Bchir
2021	J	`jnl`	Lightweight Anomaly Detection Scheme Using Incremental Principal Component Analysis and Support Vector Machine. Sensors Nurfazrina Mohd Zamry, Anazida Binti Zainal, Murad A. Rassam, Eman H. Alkhammash, Fuad A. Ghaleb, Faisal Saeed
2021	J	`jnl`	Quasi-Identifier Recognition Algorithm for Privacy Preservation of Cloud Data Based on Risk Reidentification. Wirel. Commun. Mob. Comput. Huda Osman, Maheyzah Md Siraj, Fuad A. Ghaleb, Faisal Saeed, Eman H. Alkhammash, Mohd Aizaini Maarof
2020	J	`jnl`	Formal modelling of OWL ontologies-based requirements for the development of safe and secure smart city systems. Soft Comput. Eman H. Alkhammash
2019	J	`jnl`	Annotation of Smart Cities Twitter Micro-Contents for Enhanced Citizen's Engagement. IEEE Access Eman H. Alkhammash, Jari Jussila, Miltiadis D. Lytras, Anna Visvizi
2015	J	`jnl`	Building traceable Event-B models from requirements. Sci. Comput. Program. Eman H. Alkhammash, Michael J. Butler, Asieh Salehi Fathabadi, Corina Cîrstea
2014	—	`—`	Towards a systematic process for modelling complex systems in event-B. Eman H. Alkhammash
2013	J	`jnl`	Building Traceable Event-B Models from Requirements. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. Eman H. Alkhammash, Asieh Salehi Fathabadi, Michael J. Butler, Corina Cîrstea

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.