Lei Gai

11 papers C 1Journal 4Unranked 6

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Underwater Transmission of Digital Image in Wireless Optical Communication Based on Single Photon Detection Technology. CIPAE Lei Gai, Wendong Li, Qiming Zhu, Xiaobing Hei, Guoyu Wang
2020	J	`jnl`	Leveraging Neighborhood Summaries for Efficient RDF Queries on RDBMS. CoRR Lei Gai
2018	—	`conf`	Efficient $K$-concern Matching in a Large Graph. ICNC-FSKD Lei Gai, Jian Li, Jie Shang, Xiaoming Wang
2018	—	`conf`	ROSIE: Runtime Optimization of SPARQL Queries over RDF Using Incremental Evaluation. KSEM (2) Lei Gai, Xiaoming Wang, Tengjiao Wang
2017	—	`conf`	Leveraging Neighborhood Summaries for Efficient Queries on Existing Relational RDF Systems. SKG Lei Gai, Xiaoming Wang, Tengjiao Wang
2017	—	`conf`	Querying RDF graphs over partitioned indexes. ICNC-FSKD Lei Gai, Junmin Liu, Xiaoming Wang, Jian Li
2016	J	`jnl`	ROSIE: Runtime Optimization of SPARQL Queries Using Incremental Evaluation. CoRR Lei Gai, Wei Chen, Tengjiao Wang
2015	J	`jnl`	A partition-based Summary-Graph-Driven Method for Efficient RDF Query Processing. CoRR Lei Gai, Wei Chen, Tengjiao Wang
2015	—	`conf`	SparkRDF: In-Memory Distributed RDF Management Framework for Large-Scale Social Data. WAIM Zhichao Xu, Wei Chen, Lei Gai, Tengjiao Wang
2014	C	`conf`	Towards Efficient Path Query on Social Network with Hybrid RDF Management. APWeb Lei Gai, Wei Chen, Zhichao Xu, Changhe Qiu, Tengjiao Wang
2014	J	`jnl`	Towards Efficient Path Query on Social Network with Hybrid RDF Management. CoRR Lei Gai, Wei Chen, Zhichao Xu, Changhe Qiu, Tengjiao Wang

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.