Baotong Chen - RankMe

18 papers Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Behavior Tree and Action Primitive (BTAP) Enabled Low-Code/No-Code Program for Robot Task Execution. IEEE Trans. Ind. Informatics Baotong Chen, Xin Tong, Feng Xiang, Jiafu Wan, Lei Wang, Xuguo Yan, Zhaohui Wang, Xuhui Xia
2026	J	`jnl`	Behavioral planning and parameter meta learning for embodied intelligence robots in adaptive assembly. J. Ind. Inf. Integr. Baotong Chen, Guangjun Xu, Lei Wang, Chun Jiang, Zelin Zhang, Zhaohui Wang, Xuhui Xia
2025	J	`jnl`	An Improved Hybrid Tabu Search and Genetic Algorithm for Proactive Scheduling of Mixed-Flow Assembly Line Under Degradation Effects. Int. J. Intell. Syst. Hu Cai, Baotong Chen, Hongyi Qu, Jiafu Wan, Mejdl S. Safran
2025	J	`jnl`	Embodied Intelligence Empowering Customized Manufacturing: Architecture, Opportunities, and Challenges. IEEE Access Jinbiao Tan, Jianhua Shi, Ligang Wu, Baotong Chen, Hao Tang, Chunhua Zhang, Wujie Zhang, Shiyong Wang, Jiafu Wan
2025	J	`jnl`	Exploring NetGPT-Enabled Dynamic Resource Management for Mobile D2D in Industrial IoT. IEEE Netw. Baotong Chen, Haiquan Liang, Jiafu Wan, Chuangjian Wang, Xuguo Yan, Xuhui Xia, Salman A. AlQahtani
2025	J	`jnl`	Knowledge sharing-enabled low-code program for collaborative robots in mix-model assembly. J. Ind. Inf. Integr. Baotong Chen, Xin Tong, Jiafu Wan, Lei Wang, Xianyin Duan, Zhaohui Wang, Xuhui Xia
2024	—	`conf`	A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning. KSEM (1) Jinbiao Tan, Jiafu Wan, Hu Cai, Xiaowei Chen, Baotong Chen
2024	J	`jnl`	Equipment electrocardiogram (EECG): making intelligent production line more robust. J. Intell. Manuf. Baotong Chen, Lei Wang, Shujun Yu, Jiafu Wan, Xuhui Xia
2024	J	`jnl`	Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data. IEEE Trans. Instrum. Meas. Jinbiao Tan, Jiafu Wan, Baotong Chen, Mejdl S. Safran, Salman A. AlQahtani, Rui Zhang
2022	—	`conf`	Dark Chain Detection Based on the IP Address. ICAIS (3) Jingwen Fang, Qian Shao, Zhongyi Xu, Penghui Li, Baotong Chen, Haoliang Lan
2022	J	`jnl`	Knowledge Sharing Enabled Multirobot Collaboration for Preventive Maintenance in Mixed Model Assembly. IEEE Trans. Ind. Informatics Baotong Chen, Yu Zhang, Xuhui Xia, Miguel Martinez-Garcia, Gbanaibolou Jombo
2020	J	`jnl`	Time Series Data for Equipment Reliability Analysis With Deep Learning. IEEE Access Baotong Chen, Yan Liu, Chunhua Zhang, Zhongren Wang
2019	—	`conf`	Emerging Trends of ML-based Intelligent Services for Industrial Internet of Things (IIoT). ComComAP Baotong Chen, Jiafu Wan
2019	J	`jnl`	Improving Cognitive Ability of Edge Intelligent IIoT through Machine Learning. IEEE Netw. Baotong Chen, Jiafu Wan, Yanting Lan, Muhammad Imran, Di Li, Nadra Guizani
2018	J	`jnl`	Edge Computing in IoT-Based Manufacturing. IEEE Commun. Mag. Baotong Chen, Jiafu Wan, Antonio Celesti, Di Li, Haider Abbas, Qin Zhang
2018	J	`jnl`	Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory. IEEE Trans. Ind. Informatics Jiafu Wan, Baotong Chen, Shiyong Wang, Min Xia, Di Li, Chengliang Liu
2018	J	`jnl`	Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges. IEEE Access Baotong Chen, Jiafu Wan, Lei Shu, Peng Li, Mithun Mukherjee, Boxing Yin
2018	J	`jnl`	Toward Dynamic Resources Management for IoT-Based Manufacturing. IEEE Commun. Mag. Jiafu Wan, Baotong Chen, Muhammad Imran, Fei Tao, Di Li, Chengliang Liu, Shafiq Ahmad

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.

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.