Qinghua Feng

16 papers Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Does strategic return promote word-of-mouth recommendation? An empirical study based on consumption experience theory. Electron. Commer. Res. Hongchao Zhang, Kunlu Zhou, Hang Chen, Qinghua Feng
2025	J	`jnl`	Computer Image Design Based on Artificial Intelligence Combined With Virtual Reality Environment. Int. J. Inf. Technol. Syst. Approach Qinghua Feng, Gang Wang, Dehao L. Li, Jianhua Yu
2025	J	`jnl`	Multimedia Interactive Network Virtual Design Based on Digital Information Security and Blockchain Technology. Int. J. Inf. Technol. Syst. Approach Qinghua Feng, Yuehua Bai, Dehao Li
2022	J	`jnl`	Visual-inertial fusion positioning and mapping method based on point-line features. Int. J. Comput. Appl. Technol. Qinghua Feng
2015	J	`jnl`	Some new generalized Gronwall-Bellman type discrete fractional inequalities. Appl. Math. Comput. Qinghua Feng
2014	J	`jnl`	Generalized n Dimensional Ostrowski Type and Grüss Type Inequalities on Time Scales. J. Appl. Math. Bin Zheng, Qinghua Feng
2014	J	`jnl`	Some New Transformation Properties of the Nielsen Generalized Polylogarithm. Int. J. Math. Math. Sci. Nina Shang, Qinghua Feng, Huizeng Qin
2013	J	`jnl`	A New Fractional Subequation Method and Its Applications for Space-Time Fractional Partial Differential Equations. J. Appl. Math. Fanwei Meng, Qinghua Feng
2013	—	`conf`	Commerce as a Service Solution Accelerates Transition to E-commerce for Traditional Manufacturing Enterprises and Retailers. WHICEB Lili Jiang, Baichen Deng, Qinghua Feng, Yue Wang
2013	J	`jnl`	Some New Gronwall-Bellman-Type Inequalities on Time Scales and Their Applications. J. Appl. Math. Bin Zheng, Qinghua Feng, Fanwei Meng
2013	J	`jnl`	Some New Oscillation Criteria for a Class of Nonlinear Fractional Differential Equations with Damping Term. J. Appl. Math. Bin Zheng, Qinghua Feng
2013	J	`jnl`	Some new generalized Volterra-Fredholm type finite difference inequalities involving four iterated sums. Appl. Math. Comput. Qinghua Feng, Fanwei Meng, Bosheng Fu
2012	J	`jnl`	Generalized Gronwall-Bellman-type delay dynamic inequalities on time scales and their applications. Appl. Math. Comput. Qinghua Feng, Bin Zheng
2012	J	`jnl`	Some generalized Ostrowski-Grüss type integral inequalities. Comput. Math. Appl. Qinghua Feng, Fanwei Meng
2011	J	`jnl`	Explicit Bounds to Some New Gronwall-Bellman-Type Delay Integral Inequalities in Two Independent Variables on Time Scales. J. Appl. Math. Fanwei Meng, Qinghua Feng, Bin Zheng
2011	J	`jnl`	Some New Delay Integral Inequalities in Two Independent Variables on Time Scales. J. Appl. Math. Bin Zheng, Yao-Ming Zhang, Qinghua Feng

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.