Ya Gao

17 papers B 2Misc 1Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2015	—	`book`	Multi-Level Decision Making - Models, Methods and Applications Guangquan Zhang, Jie Lu, Ya Gao
2014	J	`jnl`	A bi-Level Decision Model for Customer Churn Analysis. Comput. Intell. Ya Gao, Guangquan Zhang, Jie Lu, Jun Ma
2011	J	`jnl`	Competitive Strategic Bidding Optimization in Electricity Markets Using Bilevel Programming and Swarm Technique. IEEE Trans. Ind. Electron. Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu
2011	J	`jnl`	Particle swarm optimization for bi-level pricing problems in supply chains. J. Glob. Optim. Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee
2010	J	`jnl`	A bm Lambda -Cut and Goal-Programming-Based Algorithm for Fuzzy-Linear Multiple-Objective Bilevel Optimization. IEEE Trans. Fuzzy Syst. Ya Gao, Guangquan Zhang, Jun Ma, Jie Lu
2010	—	`—`	Bi-level decision making with fuzzy sets and particle swarm optimisation Ya Gao
2009	B	`conf`	A Bilevel Optimization Model and a PSO-based Algorithm in Day-ahead Electricity Markets. SMC Guangquan Zhang, Jie Lu, Ya Gao, Guoli Zhang
2009	—	`conf`	A Decision Making Model for Vendor-Buyer Inventory Systems. RSFDGrC Hui-Ming Wee, Jie Lu, Guangquan Zhang, Huai-En Chiao, Ya Gao
2009	—	`conf`	A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains. ICONIP (2) Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee
2009	—	`conf`	A Fuzzy Bilevel Model and a PSO-Based Algorithm for Day-Ahead Electricity Market Strategy Making. KES (2) Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu
2009	J	`jnl`	A Fuzzy Multi-Objective bilevel Decision Support System. Int. J. Inf. Technol. Decis. Mak. Ya Gao, Guangquan Zhang, Jie Lu
2009	Misc	`conf`	A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers. SAC Ya Gao, Guangquan Zhang, Jie Lu
2008	—	`conf`	A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Objective-Shared Followers. SEAL Ya Gao, Guangquan Zhang, Jie Lu
2008	J	`jnl`	A lambda-Cut Approximate Algorithm for Goal-Based bilevel Risk Management Systems. Int. J. Inf. Technol. Decis. Mak. Ya Gao, Guangquan Zhang, Jie Lu, Tharam S. Dillon, Xianyi Zeng
2008	B	`conf`	A particle swarm optimization based algorithm for fuzzy bilevel decision making. FUZZ-IEEE Ya Gao, Guangquan Zhang, Jie Lu
2008	J	`jnl`	An algorithm for fuzzy multi-objective multi-follower partial cooperative bilevel programming. J. Intell. Fuzzy Syst. Guangquan Zhang, Jie Lu, Ya Gao
2008	J	`jnl`	Fuzzy bilevel Programming: Multi-Objective and Multi-Follower with Shared Variables. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Guangquan Zhang, Jie Lu, Ya Gao

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.