Abdur Rehman Khan

16 papers Misc 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discovery work-space design to explore semantically aggregated graph-cluster spaces of multimedia document results. Behav. Inf. Technol. Umer Rashid, Abdur Rehman Khan
2026	J	`jnl`	ExSMuV: [Ex]ploration software for [S]ummarized [Mu]ltimedia [V]ertical search results. SoftwareX Muhammad Wajeeh Uz Zaman, Umer Rashid, Qaisar Abbas, Abdur Rehman Khan
2026	Misc	`conf`	Leveraging Transformers to Discover Software Vulnerabilities based on Source Code Slices. AISC Abdur Rehman Khan, Yue Xu, Yuefeng Li
2025	Misc	`conf`	Dynamic Source Code Vulnerability Characteristics Selection for Enhanced Vulnerability Discovery. AusDM Abdur Rehman Khan, Yue Xu, Yuefeng Li
2025	J	`jnl`	NER-FAM: Named entity recognition with faceted aggregation for multimedia web search engines. SoftwareX Abdur Rehman Khan, Ayesha Saadia, Umer Rashid, Naveed Ahmad, Yasir Javed, Mohamad Ladan
2025	J	`jnl`	RSSI Guided Localization Using Genetic Neural Fusion in Multi-UAV Network. IEEE Access Abdur Rehman Khan, Inam Ullah Khan, Hameedur Rahman, Muhammad Mansoor Alam, Mazliham Mohd Su'ud
2025	J	`jnl`	SERB: an interactive exploration mechanism for blind web users to explore web search content. Univers. Access Inf. Soc. Snober Naseer, Umer Rashid, Maha Saddal, Abdur Rehman Khan
2024	J	`jnl`	End-to-end pseudo relevance feedback based vertical web search queries recommendation. Multim. Tools Appl. Tajmir Khan, Umer Rashid, Abdur Rehman Khan
2024	J	`jnl`	End-to-end vertical web search pseudo relevance feedback queries recommendation software. SoftwareX Tajmir Khan, Umer Rashid, Abdur Rehman Khan, Naveed Ahmad, Mohammed Ali Alshara
2023	J	`jnl`	AMED: Aggregated multimedia exploratory and discovery search software. SoftwareX Abdur Rehman Khan, Umer Rashid, Naveed Ahmad
2023	J	`jnl`	I-Cubid: a nonlinear cubic graph-based approach to visualize and in-depth browse Flickr image results. PeerJ Comput. Sci. Umer Rashid, Maha Saddal, Abdur Rehman Khan, Sadia Manzoor, Naveed Ahmad
2023	J	`jnl`	Sampling Fingerprints From Multimedia Content Resource Clusters. IEEE Access Umer Rashid, Samra Naseer, Abdur Rehman Khan, Muazzam A. Khan, Gauhar Ali, Naveed Ahmad, Yasir Javed
2022	J	`jnl`	A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images. PeerJ Comput. Sci. Umer Rashid, Aiman Javid, Abdur Rehman Khan, Leo Liu, Adeel Ahmed, Osman Khalid, Khalid Saleem, Shaista Meraj, Uzair Iqbal, Raheel Nawaz
2022	J	`jnl`	An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content. IEEE Access Abdur Rehman Khan, Umer Rashid, Naveed Ahmed
2021	—	`conf`	A Relational Aggregated Disjoint Multimedia Search Results Approach using Semantics. ICAI Abdur Rehman Khan, Umer Rashid
2021	J	`jnl`	An architecture for non-linear discovery of aggregated multimedia document web search results. PeerJ Comput. Sci. Abdur Rehman Khan, Umer Rashid, Khalid Saleem, Adeel Ahmed

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.