Fazhan Zhao

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing breakdown voltage of AlGaN/GaN HEMTs by lateral buffer trap modulation. Microelectron. J. Yuchen Cui, Fazhan Zhao, Mifang Cong, Jiang Lu
2025	J	`jnl`	Erratum: Research and realization of 150W ultra-wideband reconfigurable RF power amplifier [IEICE Electronics Express Vol. 21 (2024) No. 4 pp. 20230599]. IEICE Electron. Express Mifang Cong, Tao Dai, Jianwei Ren, Fazhan Zhao
2025	J	`jnl`	Erratum: Ultra-wideband GaN RF power amplifier based on low-pass ladder matching network [IEICE Electronics Express Vol. 21 (2024) No. 20 pp. 20240486]. IEICE Electron. Express Mifang Cong, Tao Dai, Jianwei Ren, Fazhan Zhao
2025	J	`jnl`	Hardware Trojan detection based on graph neural networks. Integr. Wei Xiao, Tianming Wang, Qing Li, Fazhan Zhao
2024	J	`jnl`	A precision current sensing circuit with chopper amplifier of symmetric topology. Microelectron. J. Tian Han, Fazhan Zhao, Ximing Fu, Xiaowu Cai, Weiwei Yan, Haitao Zhao, Wenxin Zhao, Bo Li
2024	J	`jnl`	Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism. Neural Networks Can Liu, Kaige Wang, Qing Li, Fazhan Zhao, Kun Zhao, Hongtu Ma
2024	J	`jnl`	Research and realization of 150W ultra-wideband reconfigurable RF power amplifier. IEICE Electron. Express Mifang Cong, Tao Dai, Jianwei Ren, Fazhan Zhao
2024	J	`jnl`	TA-denseNet: Efficient hardware trust and assurance model based on feature extraction and comparison of SEM images and GDSII images. Integr. Wei Xiao, Fazhan Zhao, Kun Zhao, Hongtu Ma, Qing Li
2024	J	`jnl`	Ultra-wideband GaN RF power amplifier based on low-pass ladder matching network. IEICE Electron. Express Mifang Cong, Tao Dai, Yuekuan Yang, Jianwei Ren, Fazhan Zhao
2023	J	`jnl`	Novel SenseFET structure for VDMOS with adopting body reverse bias technique to adjust the reference current ratio. Microelectron. J. Tian Han, Fazhan Zhao, Xiaowu Cai, Liang Shan, Yun Tang, Bo Li
2022	J	`jnl`	A Low-Jitter Harmonic-Free All-Digital Delay-Locked Loop for Multi-Channel Vernier TDC. Sensors Jiyun Tong, Sha Wang, Shuang Zhang, Mengdi Zhang, Ye Zhao, Fazhan Zhao

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.