Yangqian Hu

13 papers Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ALOHA With Energy-Efficient Immediate Collision Resolution: Theory and Implementation. IEEE Trans. Ind. Informatics Song Fan, Yangqian Hu, Jun-Bae Seo, Hu Jin
2025	J	`jnl`	ALOHA With SIC-Aided Collision Resolution. IEEE Internet Things J. Jun-Bae Seo, Yangqian Hu, Hu Jin, Swades De
2025	J	`jnl`	NOMA-Aided Pure ALOHA With Immediate Collision Resolution for Low-Power IoT Communications. IEEE Internet Things J. Zhenyu Cao, Yangqian Hu, Hu Jin, Jun-Bae Seo
2025	J	`jnl`	The Effect of Imperfect Channel Sensing for Low-Power Wide-Area Networks With Listen-Before-Talk. IEEE Internet Things J. Yangqian Hu, Jun-Bae Seo, Hu Jin
2024	J	`jnl`	Asynchronous Random Access Systems With Immediate Collision Resolution for Low Power Wide Area Networks. IEEE Trans. Veh. Technol. Yangqian Hu, Hu Jin, Jun-Bae Seo
2023	—	`conf`	An Adaptive Slotted-Contention-Based MAC Protocol for Ad-hoc Networks. CCNC Yangqian Hu, Huiyang Xie, Sang-Woon Jeon, Hu Jin
2023	—	`conf`	Random Activation Control for Priority AoI. CCNC Huiyang Xie, Yangqian Hu, Sang-Woon Jeon, Hu Jin
2023	J	`jnl`	Time-Offset ALOHA With SIC. IEEE Trans. Mob. Comput. Jun-Bae Seo, Yangqian Hu, Hu Jin
2022	—	`conf`	Bulk Transmissions for S-ALOHA Systems. VTC Spring Yangqian Hu, Jun-Bae Seo, Hu Jin
2022	J	`jnl`	Comprehensive Throughput Analysis of Unslotted ALOHA for Low-Power Wide-Area Networks. IEEE Internet Things J. Jun-Bae Seo, Yangqian Hu, Sangheon Pack, Hu Jin
2022	J	`jnl`	Exploiting In-Slot Micro-Synchronism for S-ALOHA. CoRR Yangqian Hu, Jun-Bae Seo, Hu Jin
2022	J	`jnl`	Exploiting in-Slot Micro-Synchronism for S-ALOHA. IEEE Trans. Wirel. Commun. Yangqian Hu, Jun-Bae Seo, Hu Jin
2020	—	`conf`	Improved Pseudo-Bayesian Access Class Barring for Bursty M2M Communications. ICTC Yangqian Hu, Jie Liu, Hu Jin

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.