周一帆，教授，博导/硕导，担任中国“双法”研究会工业工程分会常务理事，中国运筹学会可靠性分会理事，中国创造学会理事。担任IEEE PHM国际会议Arrangement Chair和多个国际会议Session chair。

研究方向为：将人工智能算法应用于设备维修和库存优化等运筹学领域。研究了维修策略最优结构及其寻优空间缩减问题；解决了动态规划算法应用于多部件系统维修优化时的状态空间爆炸；根据复杂系统维修优化问题特性，提出了新的多智能体强化学习和深度强化学习算法。

主持国家自然科学基金面上项目两项，国家自然科学基金青年基金一项，教育部博士点基金一项，江苏省重点实验室开放基金两项，参与国家自然科学基金面上项目1项，江苏省自然科学基金2项。发表论文SCI/EI检索论文40余篇，其中包括以第一作者/通讯作者在《Reliability Engineering and System Safety》，《Computers&Industrial Engineering》等期刊发表SCI论文16篇，其中JCR一区期刊论文12篇。

在5657威尼斯“我最喜爱的导师”评选中被评为“十佳导师”。指导学生获得全国大学生机器人大赛Robomasters，华东赛区一等奖二等奖各一项。指导国家级大学生创新创业计划（SRTP）两项，省级SRTP一项。担任全国大学生创新体验竞赛评委。

2010年5月至2015年4月 5657威尼斯 讲师

2015年4月至2022年4月 5657威尼斯 副教授

2022年4月至今 5657威尼斯 教授

Reliability Engineering and System Safety；

Computers & Industrial Engineering；

European Journal of Operational Research；

Journal of the Operational Research Society；

Journal of Risk and Reliability.

中国“双法”研究会工业工程分会常务理事;

中国运筹学会可靠性分会理事;

IEEE PHM国际会议Arrangement Chair.

获奖情况

2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering(国际会议)：program committee, session chair

2014 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (国际会议)：program committee

国家自然科学基金委员会管理科学与工程学科2013年度青年基金项目研究工作交流会：session chair

“泰山学术论坛—中国制造2025，从机械装备监控、维护到工程资产管理创新思维专题”：keynote speaker

2016 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering(国际会议)：program committee, session chair

2019 “我最喜爱的导师”评选活动中被评为“十佳导师”

Journal papers:

[1]ZhouY, Liu L, Li H.(2022)"Reliability estimation and optimisation of multistate flow networks using a conditional Monte Carlo method." Reliability Engineering &System Safety.2022;221.(SCI)

[2]Zhou Y, Li B, Lin TR.(2022) "Maintenance optimisation of multi component systems using hierarchical coordinated reinforcement learning. " ReliabilityEngineering & System Safety. 2022;217. (SCI)

[3]Zhou Y, Miao J, Yan B, Zhang Z.(2021)"Stochastic resource-constrained project scheduling problem with time varying weather conditions and an improved estimation of distribution algorithm."Computers& Industrial Engineering. 2021;157.(SCI)

[4]Zhou Y., Miao J., et al. (2020)"Bio-objective long-term maintenance scheduling for wind turbines in multiple wind farms." Renewable Energy. 160.(SCI)

[5]Zhou Y., Yuan C, Lin TR, et al.(2020) "Maintenance policy structure investigation and optimisation of a complex production system with intermediate buffers." Journal of Risk and Reliability.2020:458.(SCI)

[6]Zhou Y., Guo Y., et al. (2018)"Maintenance optimisation of a series production system with intermediate buffers using a multi-agent FMDP". Reliability Engineering & SystemSafety. 180:39-48.(SCI)

[7]Zhou,Y., T. Lin, et al. (2016)"Maintenance Optimisation of a Parallel-series System with Stochastic and Economic Dependence under Limited Maintenance Capacity."ReliabilityEngineering& System Safety. 155: 137–146. (SCI)

[8]Zhou, Y., T. Lin, et al. (2015)"An Effective Approach to Reducing Strategy Space for Maintenance Optimisation of Multistate Series-parallel Systems."Reliability Engineering& System Safety. 135: 40–53. (SCI)

[9]Zhou, Y., Z. Zhang (2015)"Optimal Maintenance of a Series Production System with Two Multi-component Subsystems and an Intermediate Buffer."Maintenance and Reliability. 17(2): 314–325. (SCI)

[10]Zhou, Y., Z. Zhang, et al. (2013) "Maintenance Optimisation of a Multi-state Series-parallel System Considering Economic Dependence and State-dependent Inspection Intervals." ReliabilityEngineering & System Safety. 111: 248–259. (SCI)

[11]Zhou, Y., Yong. Sun, et al. (2011) "Latent Degradation Indicators Estimation and Prediction: a Monte Carlo Approach." Mechanical Systems and Signal Processing 25(1):222-236. (SCI)

[12]Zhou, Y., L. Ma, et al. (2011) "Maintenance Strategy Optimization Using a Continuous-state Partially Observable Semi-Markov Decision Process."Microelectronics Reliability 51(2):300-309. (SCI)

[13] Zhou, Y., L. Ma, et al. (2009) "Asset Life Prediction Using Multiple Degradation Indicators and Failure Events: A Continuous State SpaceModel Approach."Maintenanceand Reliability 11(4): 72-81. (SCI)

[14]Zheng R, Zhou Y.(Corresponding author)(2022) "A dynamic inspection and replacement policy for a two-unit production system subject to interdependence." AppliedMathematicalModelling. 2022;103:221-37.(SCI)

[15]Zheng R, Zhou Y.(Corresponding author) (2021)"Comparison of three preventive maintenance warranty policies for products deteriorating with age and a time-varying covariate." Reliability Engineering & SystemSafety.2021;213.(SCI)

[16]Zheng R, ZhouY.(Corresponding author) (2021), Gu L,Zhang Z."Joint optimization of lot sizing and condition-based maintenance for a production system using the proportional hazards model." Computers & IndustrialEngineering.2021;154.(SCI)

[17]Zheng R, Zhou Y, ZhangY.(2020)"Optimal preventive maintenance for wind turbines considering the effects of wind speed." WindEnergy. 2020;23:1987-2003.(SCI）

[18]Guo Y., Ye F , Zhou Y., et al. (2020)"Fault diagnosis of multi-channel data in a forging process using the linear support higher-order tensor machine." InternationalJournal of Computer Integrated Manufacturing. 2:1-13. (SCI)

[19]Ye F., Zhang Z , Zhou Y., et al. (2019)"Monitoring and diagnosis of multi-channel profile data based on uncorrelated multilinear discriminant analysis." International Journal of AdvancedManufacturing Technology. 103(4). (SCI)

[20]Zhang, Z.,Y. Zhou, et al. (2012)."Condition-based Maintenance Optimisation without a Predetermined Strategy Structure for a Two-component Series System."Maintenanceand Reliability14(2): 120-129. (SCI)

[21]Gan, S., Z. Zhang,Y. Zhou, J. Shi. "Joint optimization of maintenance, buffer, and spare parts for a production system."Applied Mathematical Modelling,In Press. (SCI)

[22]Gan, S., Z. Zhang,Y. Zhou, J. Shi. (2013)"Intermediate Buffer Analysis for a Production System."Applied Mathematical Modelling,37, 8785–8795. (SCI)

[23]Zhang, Z., W. Gao,Y. Zhou and et al.(2012) "Reliability Modeling and Maintenance Optimization of the Diesel System in Locomotives."Maintenance and Reliability.14(4):302-311. (SCI)

Conference papers:

[1] Zheng R, Zhou Y, Zhang L.(2021)"Optimal Pricing Strategy for a Flexible Extended Warranty Policy."  PHM-Nanjing 2021.(EI).

[2] Yu, C., Zhou, Y., et al. (2020)"Multi-Agent Reinforcement Learning for Dynamic Spare Parts Inventory Control. "PHM-Shanghai 2020 (EI).

[3] Li,B., Zhou, Y.,. (2020) "Multi-component Maintenance Optimization: an Approach combining Genetic Algorithm and Multi-agent Reinforcement Learning." PHM-Shanghai 2020 (EI).

[4] Liu,L., Zhou, Y., et al. (2019) "Large-scale Maintenance Scheduling of  Wind Turbines. " PHM-Qingdao 2019 (EI).

[5] YuanC , Zhou, Y., et al. (2019) "A  Condition-Based Maintenance Policy for a Serial Flow Line with Multiple Intermediate Buffers." QR2MSE 2019 (EI)

[6] Miao J D , Zhou, Y., et al. (2018)"The Bio-Objective Long Term Maintenance Scheduling for Wind Turbines Considering Weather Conditions." PHM-Chongqing 2018 (EI).

[7] YanB , Zhou, Y., et al. (2018)" Condition Based Maintenance of the Yaw Motor in a Wind Turbine Using an Indirect Indicator: ACase Study. " PHM-Chongqing 2018 (EI).

[8] Zhou, Y., Z. Zhang, et al. (2013). "An  Efficient  maintenance Optimisation Method for Series-parallel Systems Using Stochastic Ordering and Revenue Difference Boundaries." ICQR2MSE 2013, IEEE (EI)

[9] Zhou, Y., Z. Zhang, et al. (2012)."Maintenance Optimisation of aSeries-parallel System with Multi-state Components Considering Economic Dependence. "ICQR2MSE 2012, IEEE (EI)

[10] Zhou, Y., L. Ma, et al. (2010). "Maintenance decision-making usinga continuous-state partially observable semi-Markov decision process." PHM2010, IEEE (EI) (recommend as “best paper” by the IEEE-PHM conference)

[11] Zhou, Y., L. Ma, et al. (2009). "Asset Life Prediction UsingMultiple Degradation Indicators and Lifetime Data: a Gamma-Based State SpaceModel Approach." ICRMS 2009, IEEE (EI) (recommend as “best paper” by theICRMS conference)