Abdul Ghani Naim

16 papers A 2B 3Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Evaluating Knowledge Graph Complexity via Semantic, Spectral, and Structural Metrics for Link Prediction. IEEE Big Data Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
2025	B	`conf`	KG-EDAS: A Meta-Metric Framework for Evaluating Knowledge Graph Completion Models. IEEE Big Data Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
2025	—	`conf`	MuCo-KGC: Multi-context-Aware Knowledge Graph Completion. PAKDD (7) Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
2025	J	`jnl`	MuCoS: Efficient Drug Target Discovery via Multi Context Aware Sampling in Knowledge Graphs. CoRR Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
2024	J	`jnl`	A Contextualized BERT model for Knowledge Graph Completion. CoRR Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
2024	J	`jnl`	Ensemble Balanced Nested Dichotomy Fuzzy Models for Software Requirement Risk Prediction. IEEE Access Ganesh M. Kumar, Abdullahi Abubakar Imam, Shuib Basri, Ahmad Sobri Hashim, Abdul Ghani Naim, Luiz Fernando Capretz, Abdullateef Oluwagbemiga Balogun, Hussaini Mamman
2023	J	`jnl`	Conversational chat system using attention mechanism for COVID-19 inquiries. Int. J. Intell. Networks Wang Xin Hui, Nagender Aneja, Sandhya Aneja, Abdul Ghani Naim
2022	J	`jnl`	Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising. CoRR Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas, Abdul Ghani Naim
2021	J	`jnl`	Transfer learning for cancer diagnosis in histopathological images. CoRR Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas, Abdul Ghani Naim
2020	J	`jnl`	A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics-EMG features. Neural Comput. Appl. Umar Yahya, S. M. N. Arosha Senanayake, Abdul Ghani Naim
2020	—	`conf`	Biomedical Text Recognition Using Convolutional Neural Networks: Content Based Deep Learning. ICCCI (CCIS Volume) Sisir Joshi, Abeer Alsadoon, S. M. N. Arosha Senanayake, P. W. C. Prasad, Abdul Ghani Naim, Amr Elchouemi
2020	B	`conf`	Intelligent System for Early Detection and Classification of Breast Cancer: Data Driven Learning. ICCCI Praveen Kokkerapati, Abeer Alsadoon, S. M. N. Arosha Senanayake, P. W. C. Prasad, Abdul Ghani Naim, Amr Elchouemi
2017	A	`conf`	Cluster analysis-based classification of healthy female netball players using wearable sensors. ICST Umar Yahya, S. M. N. Arosha Senanayake, Abdul Ghani Naim
2017	A	`conf`	Intelligent integrated wearable sensing mechanism for vertical jump height prediction in female netball players. ICST Umar Yahya, S. M. N. Arosha Senanayake, Abdul Ghani Naim
2013	—	`conf`	Fuzzy based room temperature control by integrating sensors and cameras with a grid. CIComms Seyed M. Buhari, N. J. Tuah, Kim Onn Chong, Sei Guan Lim, Abdul Ghani Naim
2012	—	`conf`	Performance Evaluation and Optimization of Nested High Resolution Weather Simulations. Euro-Par Preeti Malakar, Vaibhav Saxena, Thomas George, Rashmi Mittal, Sameer Kumar, Abdul Ghani Naim, Saiful Azmi bin Hj Husain

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.