Baihao Qiao

11 papers B 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive decomposition-based transfer learning for dynamic constrained multi-objective optimization. Expert Syst. Appl. Li Yan, Yinjin Wu, Boyang Qu, Chao Li, Jing Liang, Kunjie Yu, Caitong Yue, Baihao Qiao, Yuqi Lei
2025	J	`jnl`	Multi-objective dynamic economic emission dispatch considering the risk of wind power-electric vehicle interaction using teaching-learning-based optimization algorithm. Swarm Evol. Comput. Baihao Qiao, Ziru Feng, Zhengyu Zhu, Li Yan, Boyang Qu, Xuzhao Chai, Jiajia Huan
2024	J	`jnl`	Multivariate time series clustering based on fuzzy cognitive maps and community detection. Neurocomputing Yingzhi Teng, Jing Liu, Kai Wu, Yang Liu, Baihao Qiao
2023	—	`conf`	Differential Evolution Using Special Sorting for Multimodal Multi-objective Optimization with Local Pareto Sets. ICSI (1) Li Yan, Yiran Li, Boyang Qu, Baihao Qiao, Hongxin Duan, Shunge Guo
2022	J	`jnl`	Multi-objective economic emission dispatch of thermal power-electric vehicles considering user's revenue. Soft Comput. Baihao Qiao, Jing Liu, Jiajia Huan
2022	J	`jnl`	Wind power forecasting based on variational mode decomposition and high-order fuzzy cognitive maps. Appl. Soft Comput. Baihao Qiao, Jing Liu, Peng Wu, Yingzhi Teng
2021	J	`jnl`	A multi-objective differential evolution algorithm and a constraint handling mechanism based on variables proportion for dynamic economic emission dispatch problems. Appl. Soft Comput. Baihao Qiao, Jing Liu, Xingxing Hao
2021	B	`conf`	MOEA/D Using Dynamic Weight Vectors and Stable Matching Schemes for the Deployment of Multiple Airships in the Earth Observing System. CEC Zhouwu Xu, Jing Liu, Baihao Qiao, Yating Cao
2019	J	`jnl`	Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance. Sci. China Inf. Sci. Li Yan, Boyang Qu, Yongsheng Zhu, Baihao Qiao, Ponnuthurai Nagaratnam Suganthan
2019	—	`conf`	Using Multi-objective Particle Swarm Optimization to Solve Dynamic Economic Emission Dispatch Considering Wind Power and Electric Vehicles. BIC-TA (1) Baihao Qiao, Jing Liu
2017	—	`conf`	Using Multi-objective Evolutionary Algorithm to Solve Dynamic Environment and Economic Dispatch with EVs. ICSI (2) Boyang Qu, Baihao Qiao, Yongsheng Zhu, Yuechao Jiao, Junming Xiao, Xiaolei 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.