Sameh K. Mohamed

17 papers A 1B 1C 1Misc 3Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio
2021	J	`jnl`	Biological applications of knowledge graph embedding models. Briefings Bioinform. Sameh K. Mohamed, Aayah Nounu, Vít Novácek
2021	Misc	`conf`	On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
2021	J	`jnl`	On Training Knowledge Graph Embedding Models. Inf. Sameh K. Mohamed, Emir Muñoz, Vít Novácek
2020	J	`jnl`	Accurate prediction of kinase-substrate networks using knowledge graphs. PLoS Comput. Biol. Vít Novácek, Gavin McGauran, David Matallanas, Adrián Vallejo Blanco, Piero Conca, Emir Muñoz, Luca Costabello, Kamalesh Kanakaraj, Muhammad Zeeshan Nawaz, Brian Walsh, Sameh K. Mohamed, Pierre-Yves Vandenbussche, Colm J. Ryan, Walter Kolch, Dirk Fey
2020	A	`conf`	BioKG: A Knowledge Graph for Relational Learning On Biological Data. CIKM Brian Walsh, Sameh K. Mohamed, Vít Novácek
2020	J	`jnl`	Discovering protein drug targets using knowledge graph embeddings. Bioinform. Sameh K. Mohamed, Vít Novácek, Aayah Nounu
2020	J	`jnl`	Predicting tissue-specific protein functions using multi-part tensor decomposition. Inf. Sci. Sameh K. Mohamed
2019	J	`jnl`	DVP: Data Visualization Platform. CoRR Waleed A. Yousef, Ahmed A. Abouelkahire, Omar S. Marzouk, Sameh K. Mohamed, Mohamed N. Alaggan
2019	Misc	`conf`	Drug target discovery using knowledge graph embeddings. SAC Sameh K. Mohamed, Aayah Nounu, Vít Novácek
2019	B	`conf`	Link Prediction Using Multi Part Embeddings. ESWC Sameh K. Mohamed, Vít Novácek
2019	—	`conf`	Loss Functions in Knowledge Graph Embedding Models. DL4KG@ESWC Sameh K. Mohamed, Vít Novácek, Pierre-Yves Vandenbussche, Emir Muñoz
2019	J	`jnl`	Method and System for Image Analysis to Detect Cancer. CoRR Waleed A. Yousef, Ahmed A. Abouelkahire, Deyaaeldeen Almahallawi, Omar S. Marzouk, Sameh K. Mohamed, Waleed A. Mustafa, Omar M. Osama, Ali A. Saleh, Naglaa M. Abdelrazek
2019	—	`conf`	Unsupervised Hierarchical Grouping of Knowledge Graph Entities. LASCAR@ESWC Sameh K. Mohamed
2019	J	`jnl`	Unsupervised Hierarchical Grouping of Knowledge Graph Entities. CoRR Sameh K. Mohamed
2018	Misc	`conf`	Knowledge base completion using distinct subgraph paths. SAC Sameh K. Mohamed, Vít Novácek, Pierre-Yves Vandenbussche
2017	C	`conf`	Identifying Equivalent Relation Paths in Knowledge Graphs. LDK Sameh K. Mohamed, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche

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.