Tang Bo

11 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A cross-working-condition prediction method for bearing remaining useful life based on SPW-SVDD health indicators and temporal-self -attention mechanism. Adv. Eng. Informatics Zhao Yongxing, Yuntian Ta, Ran Bi, Tang Bo, Zhengjie Lu, Yan Yihong, Jingsong Xie, Zhibin Guo
2021	J	`jnl`	A privacy-preserving framework for cross-domain recommender systems. Comput. Electr. Eng. Taiwo Blessing Ogunseyi, Tang Bo, Cheng Yang
2021	—	`conf`	Review of Near-Field Microwave Microscopy Technology. ICCCS Tang Bo, Baoguo Yang, Fushun Nian, Peijun Hu
2020	J	`jnl`	A Hybrid Approach to Reduce the PAPR of OFDM Signals Using Clipping and Companding. IEEE Access Tang Bo, Kaiyu Qin, Haibo Mei
2020	J	`jnl`	A Low-Complexity Suboptimal Method for Two-Dimensional Crest Factor Reduction of Concurrent Dual-Band Signals. IEEE Commun. Lett. Changwei Chen, Kaiyu Qin, Tang Bo, Haibo Mei, Yong Cao
2020	J	`jnl`	A Novel Clipping-Based Method to Reduce Peak-To-Average Power Ratio of OFDM Signals. Inf. Tang Bo, Kaiyu Qin, Changwei Chen, Yong Cao
2020	J	`jnl`	Novel Sector Two-Dimensional Crest Factor Reduction Techniques for Performance Improvement in Dual-Band System. IEEE Access Changwei Chen, Kaiyu Qin, Haibo Mei, Tang Bo, Yong Cao
2019	J	`jnl`	A Clipping-Noise Compression Method to Reduce PAPR of OFDM Signals. IEEE Commun. Lett. Tang Bo, Kaiyu Qin, Xiangyin Zhang, Changwei Chen
2019	J	`jnl`	Iterative Clipping-Noise Compression Scheme for PAPR Reduction in OFDM Systems. IEEE Access Tang Bo, Kaiyu Qin, Haibo Mei, Changwei Chen
2018	J	`jnl`	One-step model extraction method for joint polynomial/interpolating lookup-table two-box nonlinear model of power amplifier. IEICE Electron. Express Changwei Chen, Kaiyu Qin, Tang Bo
2016	—	`conf`	Key Technology Research for Content Supervision Based on KAD Network. ICMIP Li Qiang, Tang Bo, Yang Jie

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.