Zhao Ge

11 papers Misc 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic PET/CT images and machine learning assessment for early diagnosis of liver cancer induced by DEN/CCl4 in mice. Biomed. Signal Process. Control. Junnan Wang, Wei Dong, Lei Zhang, Moujie Yang, Zhao Ge, Wei Fu, Junfei Jin
2025	J	`jnl`	Real-Time Distributed Optical Fiber Vibration Recognition via Extreme Lightweight Model and Cross-Domain Distillation. CoRR Zhongyao Luo, Hao Wu, Zhao Ge, Ming Tang
2025	J	`jnl`	Real-Time Event Recognition of Long-Distance Distributed Vibration Sensing With Knowledge Distillation and Hardware Acceleration. IEEE Internet Things J. Zhongyao Luo, Hao Wu, Zhao Ge, Ming Tang
2024	Misc	`conf`	Flow Scheduling with Imprecise Knowledge. NSDI Wenxin Li, Xin He, Yuan Liu, Keqiu Li, Kai Chen, Zhao Ge, Zewei Guan, Heng Qi, Song Zhang, Guyue Liu
2024	J	`jnl`	Real-time Event Recognition of Long-distance Distributed Vibration Sensing with Knowledge Distillation and Hardware Acceleration. CoRR Zhongyao Luo, Hao Wu, Zhao Ge, Ming Tang
2023	J	`jnl`	Enabling Variable High Spatial Resolution Retrieval From a Long Pulse BOTDA Sensor. IEEE Internet Things J. Zhao Ge, Li Shen, Can Zhao, Hao Wu, Zhiyong Zhao, Ming Tang
2023	—	`conf`	INVITED PAPER: An Energy-Efficient and Reconfigurable DNN Accelerator for Optic-Fiber based Edge Sensing and Computing. ICTA Ziang Duan, Ruohan Ma, Zixuan Shen, Zhao Ge, Hao Wu, Ming Tang, Chao Wang
2023	J	`jnl`	Real-time FPGA Implementation of CNN-based Distributed Fiber Optic Vibration Event Recognition Method. CoRR Zhongyao Luo, Zhao Ge, Hao Wu, Ming Tang
2022	J	`jnl`	High-Accuracy Event Classification of Distributed Optical Fiber Vibration Sensing Based on Time-Space Analysis. Sensors Zhao Ge, Hao Wu, Can Zhao, Ming Tang
2019	J	`jnl`	A New Technique to Estimate the Degree of Polymerization of Insulation Paper Using Multiple Aging Parameters of Transformer Oil. IEEE Access Shijun Li, Zhao Ge, Ahmed Abu-Siada, Liuqing Yang, Shengtao Li, Kiyoshi Wakimoto
2017	J	`jnl`	The analysis and recognition of Chinese temporal expressions based on a mixtured model using statistics and rules. Int. J. Comput. Sci. Eng. Dandan Zhao, Degen Huang, Yuzhe Wang, Wu Qiong, Zhao Ge

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.