Zhengkai Li

17 papers C 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
High-speed and high-precision control for SMT process under dual-network structure.
J. Frankl. Inst.
Jiansu Gong, Zhengkai Li, Liu Yang, Hao Sun, Xinghu Yu, Tong Wang
2026 J jnl
Multiobjective Hybrid Evolutionary Multitasking Algorithm for PCB Assembly Optimization in Beam-Head Placement Machines.
IEEE Trans. Ind. Informatics
Junhu Cao, Jinyong Yu, Zhengkai Li, Xinghu Yu, Hao Sun, Jianbin Qiu, Juan J. Rodríguez-Andina
2026 J jnl
Two-Stage Optimization of PCBA Placement Route Schedule Based on Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics
Baoqing Yin, Xianqiang Yang, Zhengkai Li, Xinghu Yu, Hao Sun, Jianbin Qiu, Juan J. Rodríguez-Andina
2025 J jnl
A Model Predictive Control Approach of Optimal Autonomous Laboratory Management.
IEEE Trans. Ind. Informatics
Zhihong Zhao, Xiaotian Lin, Juan J. Rodríguez-Andina, Zhengkai Li
2025 J jnl
Enhancing SMT Quality and Efficiency With Self-Adaptive Collaborative Optimization.
IEEE Trans. Cybern.
Zhengkai Li, Hao Sun, Jiansu Gong, Zhaonan Chen, Xinbo Meng, Xinghu Yu, Zhihong Zhao, Jianbin Qiu, Huijun Gao
2025 J jnl
Finite Potential Game Heuristic Algorithm for Workload Allocation in Dual-Gantry Placement Machines.
IEEE Trans. Ind. Informatics
Qiqi Pi, Jinyong Yu, Hao Sun, Xinghu Yu, Zhengkai Li, Jianbin Qiu, Juan J. Rodríguez-Andina, Huijun Gao
2025 J jnl
Hyper-Heuristic Optimization Using Multifeature Fusion Estimator for PCB Assembly Lines With Linear-Aligned-Heads Surface Mounters.
IEEE Trans. Cybern.
Guangyu Lu, Huijun Gao, Zhengkai Li, Xinghu Yu, Tong Wang, Jianbin Qiu, Juan J. Rodríguez-Andina
2025 J jnl
Monte Carlo Tree Search Heuristic Algorithm for Placement Routing Problem in a Dual-Gantry Placement Machine.
IEEE Trans. Consumer Electron.
Qiqi Pi, Jinyong Yu, Hao Sun, Xinghu Yu, Zhengkai Li, Zhitai Liu, Jianbin Qiu, Juan J. Rodríguez-Andina
2025 C conf
Quality-Efficiency Driven Co-Optimization of Scheduling and Process in SMT Assembly.
INDIN
Zhengkai Li, Hao Sun, Xinghu Yu, Tong Wang, Zhihong Zhao, Qin Zhao, Huijun Gao, Juan J. Rodríguez-Andina
2025 J jnl
Two-Stage Heuristic Optimization With Hybrid Evolutionary Multitasking for Automatic Optical Inspection Route Scheduling.
IEEE Trans. Ind. Informatics
Junhu Cao, Jinyong Yu, Zhengkai Li, Xinghu Yu, Hao Sun, Jianbin Qiu, Juan J. Rodríguez-Andina
2024 J jnl
A Scan-Based Hierarchical Heuristic Optimization Algorithm for PCB Assembly Process.
IEEE Trans. Ind. Informatics
Guangyu Lu, Xinghu Yu, Hao Sun, Zhengkai Li, Jianbin Qiu, Huijun Gao
2024 J jnl
A Two-Phase PCBA Optimization With ILP Model and Heuristic for a Beam Head Placement Machine.
IEEE Trans. Ind. Informatics
Guangyu Lu, Zhengkai Li, Hao Sun, Xinghu Yu, Jiahu Qin, Jianbin Qiu, Huijun Gao
2022 J jnl
Cell Division Genetic Algorithm for Component Allocation Optimization in Multifunctional Placers.
IEEE Trans. Ind. Informatics
Zhengkai Li, Xinghu Yu, Jianbin Qiu, Huijun Gao
2022 J jnl
Heuristic sequencing hopfield neural network for pick-and-place location routing in multi-functional placers.
Neurocomputing
Zhengkai Li, Hao Sun, Xinghu Yu, Weichao Sun
2022 J jnl
Hierarchical Multiobjective Heuristic for PCB Assembly Optimization in a Beam-Head Surface Mounter.
IEEE Trans. Cybern.
Huijun Gao, Zhengkai Li, Xinghu Yu, Jianbin Qiu
2022 — conf
Optical Frequency Comb Generation Based on Single-chip Integrated LNOI Intensity and Phase Modulators.
ICAIT
Yujia Zhang, Xuanhao Wang, Zhengkai Li, Weiqiang Lyu, Cheng Zeng, Zhiyao Zhang, Shang-Jian Zhang, Yali Zhang, Heping Li, Jinsong Xia, Yong Liu
2020 J jnl
Energy-Driven-Damper (EDD): Comfort-Oriented Semiactive Suspensions Optimized From an Energy Perspective.
IEEE Trans. Control. Syst. Technol.
Zhengkai Li, Weichao Sun, Huijun Gao

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.