Tang Hao

12 papers B 1C 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Individual Tree Segmentation Based on Region-Growing and Density-Guided Canopy 3-D Morphology Detection Using UAV LiDAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Shihua Li, Shunda Zhao, Zhilin Tian, Tang Hao, Zhonghua Su
2025	J	`jnl`	SAM2 for Image and Video Segmentation: A Comprehensive Survey. CoRR Zhang Jiaxing, Tang Hao
2024	C	`conf`	A Modified Method for UAV Obstacle Avoidance Pathfinding Algorithm in Power Inspection Scenario. IGARSS Bin Lan, Minfeng Xing, Yuanyuan Yang, Haitao Lyu, Jiang Qian, Tang Hao
2024	J	`jnl`	Cluster-Based Wood-Leaf Separation Method for Forest Plots Using Terrestrial Laser Scanning Data. Remote. Sens. Tang Hao, Shihua Li, Zhonghua Su, Ze He
2021	—	`conf`	Research on Intelligent Perception Model of SDN Network Delay. ICCCS Zebin Chen, Yichi Wei, Tang Hao, Chuanhuang Li
2018	B	`conf`	Voice Builder: A Tool for Building Text-To-Speech Voices. LREC Pasindu De Silva, Theeraphol Wattanavekin, Tang Hao, Knot Pipatsrisawat
2018	J	`jnl`	Vulnerability evaluation method applied to manufacturing systems. Reliab. Eng. Syst. Saf. Gao Guibing, Yue Wenhui, Ou Wenchu, Tang Hao
2009	J	`jnl`	Look-ahead control of conveyor-serviced production station by using potential-based online policy iteration. Int. J. Control Tang Hao, Arai Tamio
2008	J	`jnl`	Optimization of a special case of continuous-time Markov decision processes with compact action set. Eur. J. Oper. Res. Tang Hao, Zhou Lei, Arai Tamio
2007	J	`jnl`	Error bounds of optimization algorithms for semi-Markov decision processes. Int. J. Syst. Sci. Tang Hao, Baoqun Yin, Hongsheng Xi
2005	J	`jnl`	The optimal robust control policy for uncertain semi-Markov control processes. Int. J. Syst. Sci. Tang Hao, Hongsheng Xi, Baoqun Yin
2003	J	`jnl`	Performance optimization of continuous-time Markov control processes based on performance potentials. Int. J. Syst. Sci. Tang Hao, Hongsheng Xi, Baoqun Yin

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.