Yanglin Zhou

16 papers B 3C 1Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Joint Optimization Framework for Mobile Computing Resource Allocation with a Novel Dynamic Reconfigurable Battery System. GLOBECOM Siyu Jin, Yanglin Zhou, Junrui Liang, Song Ci
2024	C	`conf`	A Software-Defined Reconfigurable Battery System Prototype. APCC Siyu Jin, Baochang Liu, Yanglin Zhou, Junrui Liang, Song Ci
2024	J	`jnl`	Impact of Communication Time Delay in a 5G Network on Frequency Regulation Performance of a High Renewable Energy Penetrated Power System. IEEE Internet Things J. Hongjie He, Xiao Cai, Yibo Su, Xianfeng Zhang, Ning Zhang, Song Ci, Yanglin Zhou, Chongqing Kang
2021	B	`conf`	A Quantitative Study of Energy Consumption for Embedded Security. WCNC Chen Guo, Yang Yang, Yanglin Zhou, Kuan Zhang, Song Ci
2021	J	`jnl`	A Survey of Energy Consumption Measurement in Embedded Systems. IEEE Access Chen Guo, Song Ci, Yanglin Zhou, Yang Yang
2021	J	`jnl`	Data-Driven Methods for Battery SOH Estimation: Survey and a Critical Analysis. IEEE Access Tsuyoshi Oji, Yanglin Zhou, Song Ci, Feiyu Kang, Xi Chen, Xiulan Liu
2021	J	`jnl`	The Fusion of Eye Movement and Piezoelectric Sensing Technology Assists Ceramic Art Process Optimization and Mechanical Characterization. J. Sensors Xiaoying Li, Yanglin Zhou, Yanling He
2020	J	`jnl`	Energy-Aware Joint Clustering and Scheduling for Multicast Beamforming in Cloud-RAN Downlink. IEEE Wirel. Commun. Lett. Yanglin Zhou, Song Ci, Yang Yang
2019	J	`jnl`	A User-Oriented Pricing Design for Demand Response in Smart Grid. Wirel. Commun. Mob. Comput. Yanglin Zhou, Lin Cheng, Song Ci, Yang Yang, Shiqian Ma
2019	—	`conf`	Exploring Reconfiguration-Assisted Optimization Framework to Digital Power Supply System. GLOBECOM Workshops Yanglin Zhou, Lin Cheng, Yang Yang
2018	B	`conf`	A New Digital Power Supply System for Fog and Edge Computing. IWCMC Song Ci, Ni Lin, Yanglin Zhou, Hongjia Li, Yang Yang
2018	—	`conf`	Designing Pricing Incentive Mechanism for Proactive Demand Response in Smart Grid. ICC Yanglin Zhou, Song Ci, Hongjia Li, Yang Yang
2018	—	`conf`	Distributed Energy Management of P2P Energy Sharing in Energy Internet Based on Cloud Energy Storage. e-Energy Yanglin Zhou, Song Ci, Ni Lin, Hongjia Li, Yang Yang
2018	—	`conf`	Smartphone-based Pedestrian Localization Algorithm using Phone Camera and Location Coded Targets. UPINLBS Yanglin Zhou, Guangyun Li, Li Wang, Shuaixin Li, Wenpeng Zong
2017	—	`conf`	A new framework for peer-to-peer energy sharing and coordination in the energy internet. ICC Yanglin Zhou, Song Ci, Hongjia Li, Yang Yang
2017	—	`conf`	Characterization of the Sick LMS511-20100Pro Laser Range Finder for Simultaneous Localization and Mapping. ICIRA (3) Wenpeng Zong, Guangyun Li, Minglei Li, Li Wang, Yanglin Zhou

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.