任磊
From 2005 to 2009, Professor Ren Lei studied at the Institute of software of the Chinese Academy of Sciences under the guidance of researcher Dai Guozhong, one of the famous pioneers in the field of computer graphics and CIMS computer integrated manufacturing in China. In 2009, after receiving the doctor's degree in computer application technology, he entered the Academician Li Bohu team of...details>
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
School/Department:Beihang University
Status:系主任
No contact
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Research Focus
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Social Affiliations
Deputy Director of the Technical Committee of the National Key Laboratory of Complex Product Intelligent Manufacturing System Technology
复杂产品先进制造系统 教育部工程研究中心主任
国家人工智能学院(上海)博士生导师
IEEE智能制造国际标准委员会咨询专家委员会委员
Council Member of the China Simulation Federation, Deputy Director of the Intelligent IoT Systems Committee of the China Simulation Federation, Deputy Director of the Cloud Control and Decision-Making Committee of the Chinese Institute of Command and Control
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Education Experience
1998/9-2002/6Shandong University | Computer Science | Bachelor | 本科
2002/9-2005/6Shandong University | Computer Science | Master | With Certificate of Graduation for Study as Master's Candidates
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Work Experience
2011/9-NowSchool of Automation Science and Electrical Engineering | Beihang University | Associate Dean, Dean | Assistant Professor, Associate Professor, Professor, Doctoral supervisor
2009/3-2011/8School of Automatic Science and Electric Engineering | Beihang University | PostDoc
2010/7-2010/7University of Ottawa | Visiting Scholar
2012/1-2012/4School of Computing | National University of Singapore | Visiting scholar
2013/6-2013/6Wisconsin-Madison University | Visiting scholar
- 1.Industrial Metaverse for Smart Manufacturing: Model, Architecture, and Applications.IEEE Transactions on Cybernetics.2024,54(5):2683-2695
- 2.Single/Multi-Source Black-Box Domain Adaption for Sensor Time Series Data.IEEE Transactions on Cybernetics.2024
- 3.A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction.IEEE Transactions on Neural Networks and Learning Systems.2024
- 4.Digital Twin Robotic System With Continuous Learning for Grasp Detection in Variable Scenes.IEEE Transactions on Industrial Electronics.2024,71(7):7653-7663
- 5.Deep learning for time-series prediction in IIoT: progress, challenges, and prospects.IEEE transactions on neural networks and learning systems.2023
- 6.Time-varying Gaussian Encoder based Adaptive Sensor-Weighted Method for Turbofan Engine Remaining Useful Life Prediction.IEEE Transactions on Instrumentation and Measurement.2023,72:1-11