Qihe Shan

36 papers B 1Journal 26Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Asynchronous Intermittent Control Approach for Distributed Consensus of Multi-Agent Systems With Output Delays.
IEEE Trans. Signal Inf. Process. over Networks
Jian Sun, Ruoqi Li, Lei Liu, Jianxin Zhang, Qihe Shan
2025 J jnl
A Topology Reconfiguration Strategy for Containment Control of the Multi-USV System Based on Algebraic Connectivity.
IEEE Trans. Ind. Electron.
Qihe Shan, Wei Liu, Tieshan Li, Huaguang Zhang
2025 J jnl
Cooperative output regulation of multi-agent systems via energy-dependent intermittent event-triggered compensator approach.
J. Frankl. Inst.
Jian Sun, Guangpeng Wang, Jian Yun, Lei Liu, Qihe Shan, Jianxin Zhang
2025 J jnl
Distributed Resilient Energy Management for Seaport Microgrid Against Stealthy Attacks With Limited Security Defense Resource.
IEEE Trans. Cybern.
Fei Teng, Xin Zhang, Tieshan Li, Qihe Shan, C. L. Philip Chen, Yushuai Li
2025 J jnl
Event-Based Adaptive Optimal Fault-Tolerant Consensus Control for Uncertain Nonlinear Multiagent Systems With Actuator Failures.
IEEE Trans. Syst. Man Cybern. Syst.
Yuanbo Su, Qihe Shan, Hongjing Liang, Tieshan Li, Huaguang Zhang
2025 J jnl
Event-based nonsingular fixed-time containment control for nonlinear multiagent systems with dynamic uncertainties.
Sci. China Inf. Sci.
Yuanbo Su, Qihe Shan, Tieshan Li, C. L. Philip Chen
2025 J jnl
Nonsingular Finite-Time Tracking Control for a Differential-Driven Unmanned Surface Vehicle Considering Propulsion Servo Loop.
IEEE Trans. Syst. Man Cybern. Syst.
Yuanbo Su, Qihe Shan, Tieshan Li, Hongjing Liang
2024 J jnl
Adaptive Consensus Control of Multiagent Systems With an Unstable High-Dimensional Leader and Switching Topologies.
IEEE Trans. Ind. Informatics
Jian Sun, Hongbo Lei, Jianxin Zhang, Lei Liu, Qihe Shan
2024 B conf
An improved Potential Function Based on Target Position for Underwater Vehicles Collision Avoidance.
IJCNN
Qihe Shan, Haoran Zhao, Shuo Li, Tieshan Li, Yi Zuo
2024 J jnl
Cooperative Path Following Control of USV-UAVs Considering Low Design Complexity and Command Transmission Requirements.
IEEE Trans. Intell. Veh.
Jiqiang Li, Guoqing Zhang, Wenjun Zhang, Qihe Shan, Weidong Zhang
2024 J jnl
Event-triggered consensus control of linear multi-agent systems under intermittent communication.
J. Frankl. Inst.
Jian Sun, Jianxin Zhang, Lei Liu, Qihe Shan, Junxing Zhang
2024 J jnl
Finite-Time-Prescribed Performance-Based Platoon Formation Control for Unmanned Surface Vehicles Using Event-Triggered Extended State Observer.
IEEE Trans. Veh. Technol.
Wei Wang, Qihe Shan, Tieshan Li, C. L. Philip Chen, Yang Wang
2024 J jnl
Generalized fuzzy hyperbolic model based ship course system control in the presence of complex noise.
J. Frankl. Inst.
Jiaze Chen, Qihe Shan, Yuanyuan Xu, Tieshan Li, C. L. Philip Chen
2024 J jnl
Multi-agent system-based polymorphic distributed energy management for ships entering and leaving ports considering computing power resources.
Complex Intell. Syst.
Qihe Shan, Qi Qu, Jing Song, Fei Teng, Geyang Xiao, Xin Zhang, Tieshan Li
2024 J jnl
Output Consensus Control of Multi-Agent Systems With Switching Networks and Incomplete Leader Measurement.
IEEE Trans Autom. Sci. Eng.
Jian Sun, Jianxin Zhang, Lei Liu, Yanming Wu, Qihe Shan
2024 J jnl
Practical time-varying formation-containment tracking for nonlinear multi-agent systems with general noise.
J. Frankl. Inst.
Peiyun Ye, Qihe Shan, Tieshan Li, C. L. Philip Chen
2024 J jnl
Prescribed-Time Optimal Resilient Consensus Control for Nonlinear Uncertain Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Yuanbo Su, Qihe Shan, Tieshan Li, Huaguang Zhang
2024 J jnl
Variable Separation-Based Fuzzy Optimal Control for Multiagent Systems in Nonstrict-Feedback Form.
IEEE Trans. Fuzzy Syst.
Yuanbo Su, Qihe Shan, Tieshan Li, C. L. Philip Chen
2023 J jnl
A Novel Cooperative Design for USV-UAV Systems: 3-D Mapping Guidance and Adaptive Fuzzy Control.
IEEE Trans. Control. Netw. Syst.
Jiqiang Li, Guoqing Zhang, Qihe Shan, Weidong Zhang
2023 J jnl
Adaptive consensus control of second-order nonlinear multi-agent systems with event-dependent intermittent communications.
J. Frankl. Inst.
Jian Sun, Chen Guo, Lei Liu, Qihe Shan
2023 J jnl
Anti-Attack Event-Triggered Control for Nonlinear Multi-Agent Systems With Input Quantization.
IEEE Trans. Neural Networks Learn. Syst.
Yuanyuan Xu, Tieshan Li, Yue Yang, Qihe Shan, Shaocheng Tong, C. L. Philip Chen
2023 J jnl
Consensus of multi-agent systems with state-dependent intermittent communication.
Trans. Inst. Meas. Control
Jian Sun, Chen Guo, Qihe Shan, Lei Liu
2023 J jnl
Event-triggered robust adaptive control for unmanned surface vehicle in presence of deception attacks.
J. Syst. Control. Eng.
Guoqing Zhang, Xiangjun Dong, Qihe Shan, Weidong Zhang
2023 J jnl
Online optimal control for dynamic positioning of vessels via time-based adaptive dynamic programming.
J. Ambient Intell. Humaniz. Comput.
Xiaoyang Gao, Tieshan Li, Qihe Shan, Yang Xiao, Liang'en Yuan, Yifan Liu
2022 J jnl
Broad Learning System Approximation-Based Adaptive Optimal Control for Unknown Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Liang'en Yuan, Tieshan Li, Shaocheng Tong, Yang Xiao, Qihe Shan
2022 J jnl
Distributed Energy Management for Port Power System under False Data Injection Attacks.
Complex.
Qihe Shan, Xin Zhang, Qiongyue Zhang, Qiuye Sun
2022 J jnl
Observer-based asynchronous self-triggered control for a dynamic positioning ship with the hysteresis input.
Sci. China Inf. Sci.
Guoqing Zhang, Mingqi Yao, Qihe Shan, Weidong Zhang
2022 — conf
Recognitions of collision avoidance for unmanned surface vessels with visible light camera using broad learning system.
SPML
Xiaofeng Shan, Qihe Shan, Ruofei Man, Yi Zuo
2021 — conf
Adaptive Containment Control for Unmanned Surface Vessels.
SPAC
Yuhao Mao, Qihe Shan, Tieshan Li, Shun Yang, Qihang Yi
2021 — conf
BLS-based Automatic Identification Framework for Tympanic Membrane Perforation.
SPAC
Ruofei Man, Qihe Shan, Pengxiang Li, Yi Zuo, Tieshan Li
2021 — conf
Broad Learning System-based Automatic Speed Tracking Control of Marine Surface Vessel.
SPAC
Ruixiang Yang, Ruofei Man, Yi Zuo, Qihe Shan, Tieshan Li
2021 — conf
Coordinated Energy Management Scheme for Ship-Harbour Energy System Based on Economic Optimal Scheduling.
SPAC
Yuxin Zhang, Qihe Shan, Fei Teng, Tieshan Li
2021 — conf
Fault-Tolerant Containment Control for Multi-UAV Systems Based on ADP.
SPAC
Qi Liu, Qihe Shan, Tieshan Li
2021 — conf
Intelligent ship autopilot system control based on generalized fuzzy hyperbolic model.
SPAC
Jiaze Chen, Qihe Shan, Tieshan Li, Yiping Meng, Xiaojian Wang
2021 — conf
Power Management Method for Clean Energy Ships Based on Supply Capacity Constraints.
SPAC
Jing Song, Qihe Shan, Tieshan Li, Fei Teng
2021 — conf
Research on the number of groups for multi-consensus based on certain topology structure.
SPAC
Pu Zhang, Qihe Shan, Yuzhou Lu, Tieshan Li

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.