个人简介
刘敏，工学博士，研究员，博士生导师，全国自动化系统与集成标准化技术委员会（SAC/TC159）委员、系统工程学会智能制造专业委员会委员、上海系统工程学会理事、上海市企业信息化促进中心理事。
长期从事大数据分析与预测、智能预测性维护、智能制造系统等基础理论、方法和技术的研发。主持了国家重点研发计划项目1项（首席科学家）、国家863项目4项、科技部科技攻关项目2项、国家自然基金项目2项、省部级项目10余项，出版《智能制造理念、系统与建模方法》（第一、二版）、《智能预测性维护》、《人机物共融制造模式与应用》等专著4部，在计算机学报、CIMS、APPL MATH MODEL、IEEE TIM、IEEE TMC等国内外期刊及会议发表论文200余篇，SCI/EI检索100余篇（ESI高被引论文2篇），获授权发明专利11项、省部级奖项2项。先后赴美国加州大学洛杉矶分校、弗罗里达大学，加拿大麦吉尔大学、国家研究院、西安大略大学，德国杜伊斯堡埃森大学等国外知名高校和研究机构访问交流。
在有色金属冶炼、石油化工、钢铁等领域开展了智能预测性维护、智能网络协同制造、HCPS驱动的智能制造模式与开放式架构等关键技术的应用研究，研制了智能网络协同制造平台、敏捷供应链、ERP、MRO、设备智能监控等系统，应用于江西铜业、宝钢、中鸿等大中型企业，社会经济效益显著。
近期论文
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H. Wang, J. Wang, Y. Zhao, Q. Liu, M. Liu and W. Shen. Few-shot Learning for Fault Diagnosis with a Dual Graph Neural Network. IEEE Transactions on Industrial Informatics, 2022, https://ieeexplore.ieee.org/document/9882368
C. Liu, J. Wang, Y. Cao, M. Liu, W. Shen, GON: End-to-end optimization framework for constraint graph optimization problems, Knowledge-Based Systems (2022), doi: https://doi.org/10.1016/j.knosys.2022.109697.
Y. Zhao, J. Wang, H. Wang, M. Liu, Y. Ma, Adaptive Spatiotemporal Graph Convolutional Network with Intermediate Aggregation of Multi-stream Skeleton Features for Action Recognition, Neurocomputing (2022), doi: https://doi.org/10.1016/j.neucom.2022.07.046
Liu Q., Liu M., Zhou H., Yan F., Ma Y., Shen W. Intelligent manufacturing system with human-cyber-physical fusion and collaboration for process fine control. Journal of Manufacturing Systems, 64 (2022) 149–169
Liu Q., Liu M., Zhou H., Yan F. A multi-model fusion based Non-ferrous metal price forecasting. ?Resources Policy, 77(2022), https://doi.org/10.1016/j.resourpol.2022.102714
Liu Q., Liu M., Wang Z., Yan F., Ma Y., Shen W. A novel intelligent manufacturing mode with human-cyber-physical collaboration and fusion in the non-ferrous metal industry. Int J Adv Manuf Technol, 119, pages549–569 (2022)
Jingwei Wang, Yun Yuan, Tianle Ni, Yunlong Ma, Min Liu, Gaowei Xu, Weiming Shen. Anomalous Trajectory Detection and Classification Based on Difference and Intersection Set Distance. IEEE Transactions on Vehicular Technology, 2020, 69(3): 2487-2500
Gaowei Xu, Min Liu, Zhuofu Jiang, and Weiming Shen. Online Fault Diagnosis Method based on Transfer Convolutional Neural Networks. IEEE Transactions on Instrumentation and Measurement, 2020, 69(2): 509 – 520
Ling Li, Min Liu, Weiming Shen. Recommending mobile services with trustworthy QoS and user preferences via Fuzzy Analytic Hierarchy Process and ordinal utility function, IEEE Transactions on Mobile Computing, 2020, 19(2): 419 – 431
Ling Li, Min Liu, Weiming Shen. Product deterioration based demand forecasting and service supply model for MRO service chain. IEEE Transactions on Engineering Management, 2020, 67(1):187-200
Ling Li, Min Liu, Weiming Sheng, Guoqing Cheng. A novel performance evaluation model for MRO management indictors of high-end equipment, International Journal of Production Research, 2019， 57(21): 6740-6757
Ling Li, Min Liu, Weiming Shen. An expert knowledge-based dynamic maintenance task assignment model using discrete stress–strength interference theory. Knowledge-Based Systems, 2017, 131：135-148
Ling Li, Min Liu, Weiming Shen. An improved stochastic programming model for supply chain planning of MRO spare parts，Applied Mathematical Modelling，2017, 47(7), pp 189–207
Feng Zhang, Min Liu, Zhuo Zhou, and Weiming Shen, An IoT Based Online Monitoring System for Continuous Steel Casting, IEEE Internet of Things Journal, 2016, 3(6), pp 1355-1363
Ling Li, Min Liu, Weiming Shen. A discrete stress–strength interference theory based dynamic supplier selection model for maintenance service outsourcing，IEEE Transactions on Engineering Management, 2016, 63(2): 189-200
专著
刘敏，严隽薇. 智能制造理念、系统与建模方法. 北京：清华大学出版社，2019.4
刘敏，李玲，鄢锋. 智能预测性维护. 北京：化学工业出版社，2020.12，十三五国家重点图书
刘敏，鄢锋. 人机物共融制造模式与应用. 北京：化学工业出版社，2023.01，工业智能化创新之路丛书
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