Dandan Zheng

21 papers Journal 4Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
A Two-Layer Medium Total Focusing Method for Gas-Liquid Stratified Flow Measurement.
I2MTC
Dandan Zheng, Peiwei Yang, Yongtao Chen, Jilin Ye
2025 J jnl
Experimental Investigation and Prediction of Droplet Entrainment Fraction in Horizontal Annular Flow.
IEEE Trans. Instrum. Meas.
Maosen Wang, Dandan Zheng, Ying Xu
2025 — conf
Machine Learning Method for Slug Flowrate Prediction Based on Ultrasonic Sensor.
I2MTC
Dandan Zheng, Yongtao Chen, Jilin Ye, Maosen Wang, Tao Li
2025 J jnl
Translational Velocity and Dispersed Bubble Distribution Measurement in Slug Flow Based on Fiber Optical Reflectometer.
IEEE Trans. Instrum. Meas.
Dandan Zheng, Jilin Ye, Maosen Wang, Yongtao Chen
2024 — conf
Flight Time Measurement Methodology for Small-Caliber Clamp-on Ultrasonic Flowmeters.
I2MTC
Zimeng Zheng, Dandan Zheng, Haojun Fan, Ying Xu, Xueyong Chen, Manman Wu, Maosen Wang
2024 — conf
Research and Implementation of Automatic Gain Control Method for Time-Difference Ultrasonic Gas Meter.
I2MTC
Lishui Liang, Dandan Zheng, Maosen Wang, Haichen Liu, Jianqiang Mei
2024 — conf
Research on the Relationship Between Sound Velocity and Void Fraction in Bubbly Flow.
I2MTC
Dandan Zheng, Fengxian Li, Maosen Wang
2024 — conf
Translational Slug Velocity Measurement Based on Fiber Optical Reflectometer.
I2MTC
Dandan Zheng, Jilin Ye, Maosen Wang, Yongtao Chen
2023 — conf
Improved genetic inversion algorithm for ultrasonic measurement of liquid droplet distribution.
I2MTC
Jianqiang Mei, Wenqin Wang, Wanyan Chen, Dandan Zheng, Biyuan Li, Maosen Wang
2023 — conf
Modelling droplet size in annular flow based on fiber optical reflectometer.
I2MTC
Maosen Wang, Dandan Zheng, Ying Xu
2023 — conf
Study of the Pressure Drop Prediction Model of Wet Gas in Horizontal Pipe.
I2MTC
Dandan Zheng, Simin Shao, Anna Liu, Jianqiang Mei
2022 — conf
Measurement of spray droplet velocity and size distribution by a tapered optical fiber probe.
I2MTC
Dandan Zheng, Maosen Wang
2022 — conf
Study on the channel weight of ultrasonic flowmeter in wet gas measurement.
I2MTC
Dandan Zheng, MengXu Zhai
2021 J jnl
A New Model for Measurement of the Droplet Size and Volume Fraction in Air-Droplet Two-Phase Flow Based on Ultrasonic Attenuation Method.
IEEE Trans. Instrum. Meas.
Mi Wang, Dandan Zheng, Jun Dong, Jiayu Hu
2021 — conf
Comparison of ultrasonic attenuation model in mid-wavelength region for droplet measurement.
I2MTC
Dandan Zheng, Wenqin Wang, Mi Wang, Jun Dong
2021 J jnl
Erratum to "A New Model for Measurement of the Droplet Size and Volume Fraction in Air-Droplet Two-Phase Flow Based on Ultrasonic Attenuation Method".
IEEE Trans. Instrum. Meas.
Mi Wang, Dandan Zheng, Jun Dong, Jiayu Hu
2021 — conf
Measurement of Circumferential Liquid Film Thickness in Horizontal Gas-Liquid Annular Flow Using Ultrasound.
I2MTC
Mi Wang, Dandan Zheng, Wenqin Wang
2021 — conf
Signal processing method for flight time measurement of gas ultrasonic flowmeter.
I2MTC
Dandan Zheng, Jianqiang Mei, Yang Mao, Zhibin Yang
2021 — conf
Simulation Method for Ultrasonic Attenuation in Droplet Flow.
I2MTC
Dandan Zheng, Mi Wang, Jun Dong, Ying Xu
2021 — conf
Study on the measurement method of wet gas flow velocity by ultrasonic flow meter.
I2MTC
Dandan Zheng, MengXu Zhai, Jiayu Hu
2019 — conf
Liquid film thickness measurement for gas-liquid two phase flow using ultrasound.
I2MTC
Mi Wang, Dandan Zheng, Ying Xu, Ziqiang Cui

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.