Tao Wang

14 papers C 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TSCM: Efficient image synthesis using latent diffusion. Pattern Recognit. Lett. Zhiwei Lin, Xiaolong Wang, Songchuan Zhang, Tao Wang, Zhonghua Guo, Tai Liu
2025	J	`jnl`	Design of a Multi-Parameter Fusion Sensor and System for Respiratory Monitoring of Mechanically Ventilated Patients in the ICU. IEEE J. Biomed. Health Informatics Shuai Ren, Xiaohan Wang, Maolin Cai, Yan Shi, Tao Wang, Zujin Luo
2025	J	`jnl`	Improving Patient-Ventilator Synchrony During Pressure Support Ventilation Based on Reinforcement Learning Algorithm. IEEE J. Biomed. Health Informatics Liming Hao, Xiaohan Wang, Shuai Ren, Yan Shi, Maolin Cai, Tao Wang, Zujin Luo
2025	J	`jnl`	Robust Precision Motion Control for a Pneumatic Flexible Manipulator With Joint Coupling and Grasped Loads Based on a Nonlinear ESO and a Sliding Mode TD. IEEE Trans Autom. Sci. Eng. Ling Zhao, Rui Wang, Tao Wang, Peng Li
2024	J	`jnl`	1D-CNNs model for classification of sputum deposition degree in mechanical ventilated patients based on airflow signals. Expert Syst. Appl. Shuai Ren, Xiaohan Wang, Liming Hao, Fan Yang, Jinglong Niu, Maolin Cai, Yan Shi, Tao Wang, Zujin Luo
2023	J	`jnl`	A Multivent System for Non-Invasive Ventilation: Solving the Problem of Ventilator Shortage During the COVID-19 Pandemic. IEEE Access Shuai Ren, Xiaohan Wang, Liming Hao, Tao Wang, Zujin Luo
2023	J	`jnl`	Trajectory Tracking Control of Pneumatic Servo System: A Variable Gain ADRC Approach. IEEE Trans. Cybern. Jinhui Zhang, Congfeng Cui, Shaomeng Gu, Tao Wang, Ling Zhao
2022	J	`jnl`	Design and Modelling of Multi-DOF Manipulator Driven by Hysteresis-Attenuated Pneumatic Artificial Muscles. IEEE Robotics Autom. Lett. Xin Liu, Jinhui Zhang, Fang Xu, Tao Wang, Ling Zhao
2018	J	`jnl`	Gas Leak Location Detection Based on Data Fusion with Time Difference of Arrival and Energy Decay Using an Ultrasonic Sensor Array. Sensors Tao Wang, Xiaoran Wang, Mingyu Hong
2018	—	`conf`	Gas leak location method based on annular ultrasonic sensor array. I2MTC Tao Wang, Xiaoran Wang, Bo Wang, Wei Fan
2017	—	`conf`	Research on the Synchronous Control of the Pneumatic Parallel Robot with Two DOF. ICIRA (2) Shaoning Wang, Tao Wang, Bo Wang, Wei Fan
2015	—	`conf`	Mechanism and Impedance Control of Pneumatic Servo Driving System for Resistance Spot Welding. ICIRA (1) Bo Wang, Tao Wang, Wei Fan, Yu Wang
2015	—	`conf`	Study on the Electric-pneumatic Pressure Valve Driven by Voice Coil Motor. ICIRA (1) Tao Wang, Jie Wang, Bo Wang, Jinbing Chen
2010	C	`conf`	Study on the structure and control of a dexterous hand. ICARCV Hao Liu, Tao Wang, Wei Fan, Tong 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.