Qingqing Lin

11 papers C 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Broadband Low-Loss SICL to Ridge Waveguide Transition for Millimeter-Wave Applications. IEEE Trans. Circuits Syst. II Express Briefs Sai Ma, Jun Xu, Yuanwei Zhu, Kai Chen, Qingqing Lin, Wei Li, Wei Hong
2024	J	`jnl`	Single-Layer Wideband Tilted Beam Phased Array Antenna for Millimeter-Wave Vehicle Communications. IEEE Trans. Veh. Technol. Kai Chen, Jun Xu, Qingqing Lin, Yuanwei Zhu, Wei Hong
2021	—	`conf`	An AdaBoost-based Intelligent Driving Algorithm for Heavy-haul Trains. ITSC Siyu Wei, Li Zhu, Hao Wang, Qingqing Lin
2021	J	`jnl`	Autonomous Vehicle Source Enumeration Exploiting Non-Cooperative UAV in Software Defined Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. Liangtian Wan, Lu Sun, Kaihui Liu, Xianpeng Wang, Qingqing Lin, Tong Zhu
2020	J	`jnl`	Blockchain-Based Federated Learning for Intelligent Control in Heavy Haul Railway. IEEE Access Gaofeng Hua, Li Zhu, Jinsong Wu, Chunzi Shen, Linyan Zhou, Qingqing Lin
2020	J	`jnl`	Efficient Parameters Estimation Methods for Radar Moving Targets Without Searching. IEEE Access Xuepan Zhang, Chen Yang, Qingqing Lin, Xuejing Zhang
2020	J	`jnl`	Multi-Channel SAR System Design for HRWS and GMTI in Low PRF. IEEE Access Xuepan Zhang, Chen Yang, Xuejing Zhang, Qingqing Lin
2018	—	`conf`	Leveraging Big Data Analytics for Train Schedule Optimization in Urban Rail Transit Systems. ITSC Yige Wang, Li Zhu, Qingqing Lin, Lin Zhang
2018	—	`conf`	Performance Analysis of Mid-Far Infrared Wave in Satellite-Ground Link. CSPS (3) Jing Meng, Shuai Li, Qingqing Lin, Shuai Liu
2017	J	`jnl`	Fast Ambiguity Resolution for Pulsar-Based Navigation by Means of Hypothesis Testing. IEEE Trans. Aerosp. Electron. Syst. Liangwei Huang, Qingqing Lin, Xinyuan Zhang, Ping Shuai
2016	C	`conf`	Two-dimensional direction-of-arrival estimation of non-circular signals using one snapshot. IGARSS Qingqing Lin, Liangwei Huang, Ping Shuai

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.