Yabo Luo

16 papers C 1Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A multi-objective Immune Balancing Algorithm for Distributed Heterogeneous Batching-integrated Assembly Hybrid Flowshop Scheduling. Expert Syst. Appl. Haiqiang Hao, Haiping Zhu, Yabo Luo
2025	J	`jnl`	Preference learning based multiobjective particle swarm optimization for lot streaming in hybrid flowshop scheduling with flexible assembly and time windows. Expert Syst. Appl. Haiqiang Hao, Haiping Zhu, Yabo Luo
2024	J	`jnl`	A GNSS Terrestrial Water Storage Inversion Method Based on GRACE Spatial Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Bin Liu, Chenghao Shan, Weilong Rao, Xueming Xing, Jianbo Tan, Yabo Luo
2022	J	`jnl`	An original bionic algorithm for batch scheduling of traditional Chinese medicine extraction workshop: Simulated population growth blocked algorithm. Comput. Ind. Eng. Yabo Luo, Haiqiang Hao
2022	—	`conf`	Research on Heuristic Teaching Model Based on Case Comparative Experiment. ICEIT Yabo Luo, Zhouxv Wang, Feng Zhang
2021	—	`conf`	Experimental Teaching Platform Development for Topological Sorting Algorithm Education. ICISCAE (IEEE) Yabo Luo, Hongxi Teng
2021	—	`conf`	Teaching Case Study on Educational Reform Based on Hierarchical Domain Knowledge Reconstruction. ICISCAE (IEEE) Yabo Luo, Hongxi Teng
2020	J	`jnl`	A hybrid algorithm combining genetic algorithm and variable neighborhood search for process sequencing optimization of large-size problem. Int. J. Comput. Integr. Manuf. Yabo Luo, Yuling Pan, Cunrong Li, Hongtao Tang
2020	J	`jnl`	Integrated Optimization Approach of Hybrid Flow-Shop Scheduling Based on Process Set. IEEE Access Xixing Li, Hongtao Tang, Zhipeng Yang, Rui Wu, Yabo Luo
2018	—	`conf`	Principle and Experimental Verification of a Novel Method: Tree Biomechanical Optimization Algorithm. CCIS Waden Yongo, Yabo Luo
2017	J	`jnl`	Nested optimization method combining complex method and ant colony optimization to solve JSSP with complex associated processes. J. Intell. Manuf. Yabo Luo
2015	J	`jnl`	A reverse constraint satisfying method for earliness/tardiness scheduling problem based on improved genetic algorithm. J. Comput. Methods Sci. Eng. Yabo Luo, Guangdong Feng, Feng Zhang, Ya Mao, Jingbing Wu
2013	—	`conf`	An Improved Ants Colony Algorithm for NP-hard Problem of Travelling Salesman. ICPCA/SWS Yabo Luo, Shikun Zhang, Feng Zhang
2013	—	`conf`	Optimization Algorithm for Balancing and Sequencing Mixed Assembly Line. ICPCA/SWS Yabo Luo, Yang Wang, Feng Zhang
2010	J	`jnl`	Tactics, Algorithm and Experiences in Schedule Optimization for CNC Resources Grid. J. Softw. Xin Lin, Huiping Yuan, Yabo Luo
2008	C	`conf`	An agent-enabled logarithm arithmetic for cost estimation of human resource sharing. CSCWD Qingru Kong, Yabo Luo

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.