2007-2011 香港大学 工业及制造系统工程 博士
2004-2006 清华大学 自动化 硕士
2000-2004 上海交通大学 船舶与海洋工程 学士

2019.12-今 上海交通大学，工业工程与管理系，系副主任（分管科研）
2017.12-今 上海交通大学，新利体育，副教授，博士生导师
2014.07-2017.12 上海交通大学，新利体育，讲师

2016.05-2016.11 中航商用航空发动机制造有限责任公司 工艺技术主管
2018.03-2019.03 上海市临港地区智能制造专项办公室 主任助理

复杂系统建模、控制与优化；机器智能理论、方法与应用

招收博士后、博士、硕士研究生，欢迎联系报读！

2023-2026 科技创新2030——“新一代人工智能”重大项目课题：“数据驱动的超大型码头智能分析与运筹优化理论研究”，负责人
2022-2023 商用飞机系统工程中心联合基金项目：“大数据驱动的飞机装配大纲精准执行方法”，负责人。
2020-2022 上海市“科技创新行动计划”：“飞机移动对接位姿追踪与精确测量技术研究”，负责人。
2020-2021 国防基础科研计划：“基于大数据的航空复杂结构件加工车间决策优化技术”，单位负责人。
2019-2022 国家重点研发计划课题：“业务驱动的超大型集装箱码头智能化作业规划与决策技术”，负责人。
2018-2021 国家自然科学基金面上项目：“基于复杂网络理论的晶圆制造自动化物料运输系统动态调度方法”，负责人。
2017-2020 航天先进制造技术联合基金重点项目：“面向智慧工厂的防空导弹结构件混线生产实时优化协同管理”，单位负责人。
2017-2019 工信部智能制造新模式与新标准项目：“空心胶囊智能制造新模式应用项目”，单位负责人。
2017-2018 上海航天科技创新基金：“基于三维设计模型的航天复杂舱体结构制造特征网络模型构建方法”，负责人。
2016-2018 工信部智能制造新模式与新标准项目：“中医药产品智能制造新模式应用项目”，单位负责人。
2016-2018 临港地区智能制造产业专项：“圆柱形电芯动力电池组智能化生产车间”，单位负责人。
2016-2017 微软委托项目：“微软制造执行系统”，负责人。
2016-2017 玉柴委托项目：“数据驱动的柴油发动机功率一致性分析与多参数控制方法“，负责人。
2015-2017 国家科技支撑计划：“食品无菌纸盒包装机器人自动化生产线”，单位负责人。
2014-2016 国家自然科学基金青年项目：“状态参数驱动的晶圆制造系统建模与性能预测方法研究”，负责人。
2013-2015 中国博士后基金：“基于无尺度网络和系统动力学的晶圆制造系统建模方法”，负责人。
2012-2014 上海市“科技创新行动计划”:“面向复杂产品制造过程的精确控制技术研究”，单位负责人。

SCI论文：
2023年
[1] Xu H W, Qin W*, Sun Y N, et al. Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process[J]. Journal of Intelligent Manufacturing, 2023: 1-14.
[2] Zhu J Y, Qin W*, Hu J H, et al. Influential process nodes identification strategy for aircraft assembly system based on complex network and improved PageRank[J]. Advanced Engineering Informatics, 2023:1-14.
[3] Qin W*, Zhuang Z, Sun Y, et al. An available-to-promise stochastic model for order promising based on dynamic resource reservation policy[J]. International Journal of Production Research, 2023, 61(16): 5525-5542.
[4] Qin W*, Hu Q, Zhuang Z*, et al. IPPE-PCR: a novel 6D pose estimation method based on point cloud repair for texture-less and occluded industrial parts[J]. Journal of Intelligent Manufacturing, 2023, 34(6): 2797-2807.
[5] Sun Y N, Chen Q L, Hu J H, Qin W*, et al. An integrated CRN-SVR approach for the quality consistency improvement in a diesel engine assembly process[J]. International Journal of Computer Integrated Manufacturing, 2023: 1-16.
[6] Sun Y N, Qin W, Hu J H, et al. A causal model-inspired automatic feature-selection method for developing data-driven soft sensors in complex industrial processes[J]. Engineering, 2023, 22: 82-93.


2022年
[1] Sun Y-N, Qin W*, Xu H-W, et al. A multiphase information fusion strategy for data-driven quality prediction of industrial batch processes [J]. Information Sciences, 2022, 608: 81-95.
[2 ]Xu H-W, Qin W*, Lv Y-L, et al. Data-Driven Adaptive Virtual Metrology for Yield Prediction in Multi-Batch Wafers[J]. IEEE Transactions on Industrial Informatics, 2022. doi:10.1109/TII.2022.3162268.
[3] Qin W*, Zhuang Z, Liu Y, et al. Sustainable service oriented equipment maintenance management of steel enterprises using a two-stage optimization approach[J]. Robotics and Computer-Integrated Manufacturing, 2022, 75: 102311.
[4]Zhuang Z, Li Y, Sun Y, Qin W*, et al. Network-based dynamic dispatching rule generation mechanism for real-time production scheduling problems with dynamic job arrivals[J]. Robotics and Computer-Integrated Manufacturing, 2022, 73: 102261.
[5]Zhuang Z, Zhang Z, Teng H, Qin W*, et al. Optimization for integrated scheduling of intelligent handling equipment with bidirectional flows and limited buffers at automated container terminals[J]. Computers & Operations Research, 2022: 105863.
[6]Qin W*, Hu Q, et al. A novel 6D pose estimation method for texture-less and occluded industrial parts. Journal of Intelligent Manufacturing, 2022.

2021年
[1] Qin W*, Sun Y N, Zhuang Z L, et al. Multi-agent reinforcement learning-based dynamic task assignment for vehicles in urban transportation system[J]. International Journal of Production Economics, 2021, 240: 108251.
[2] Qin W*, Zhuang Z, Guo L, et al. A hybrid multi-class imbalanced learning method for predicting the quality level of diesel engines[J]. Journal of Manufacturing Systems, 2022, 62: 846-856.
[3] Qin W*, Zhuang Z, Zhou Y, et al. Dynamic dispatching for interbay automated material handling with lot targeting using improved parallel multiple-objective genetic algorithm[J]. Computers & Operations Research, 2021, 131: 105264.
[4] Qin W*, Zhuang Z, Huang Z, et al. A novel reinforcement learning-based hyper-heuristic for heterogeneous vehicle routing problem[J]. Computers & Industrial Engineering, 2021, 156: 107252.
[5] Qin W*, Zhuang Z, Guo L, et al. A hybrid multi-class imbalanced learning method for predicting the quality level of diesel engines[J]. Journal of Manufacturing Systems, 2022, 62: 846-856.
[6] Sun Y N, Zhuang Z L, Xu H W, Qin W* et al. Data-driven modeling and analysis based on complex network for multimode recognition of industrial processes[J]. Journal of Manufacturing Systems, 2022, 62: 915-924.
[7] Sun Y N, Qin W*, Zhuang Z L. Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems[J]. Journal of Intelligent Manufacturing, 2021, 1-15.
[8] Sun Y N, Qin W*, Zhuang Z L, Xu H W. An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference[J]. Journal of Intelligent Manufacturing, 2021, 32: 2007-2021.

2020年
[1] Zhuang Z, Huang Z, Sun Y, Qin W*, et al. Optimization for cooperative task planning of heterogeneous multi-robot systems in an order picking warehouse[J]. Engineering Optimization, 2021, 53(10): 1715-1732.
[2] Zhuang Z, Chen Y, Sun Y, and Qin W*. Complex scheduling network: an objective performance testing platform for evaluating vital nodes identification algorithms [J]. The International Journal of Advanced Manufacturing Technology. 2020, 111: 273–282.
[3] Zhuang Z, Guo L, Huang Z, Qin W*,et al. DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process[J]. Journal of Intelligent Manufacturing, 2021, 32(8): 2197-2207.
[4] Datta N, Zhuang Z, Qin W*. Experimental study of a liquid desiccant regeneration system: performance analysis for high feed concentrations[J]. Clean Technologies and Environmental Policy, 2020, 22(6): 1255-1267.

2019年
[1] Qin W*, Lv H, Liu C, et al. Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network [J]. Industrial Management & Data Systems. 2019.
[2] Qin W*, Zhuang Z, Liu Y, et al. A two-stage ant colony algorithm for hybrid flow shop scheduling with lot sizing and calendar constraints in printed circuit board assembly[J]. Computers & Industrial Engineering, 2019, 138: 106115.
[3] Zhuang Z, Lv H, Xu J, Huang Z, and Qin W*. A Deep Learning Method for Bearing Fault Diagnosis through Stacked Residual Dilated Convolutions [J]. Applied Sciences, 2019, 9(9), 1823.
[4] Zhuang Z, Lu Z, Huang Z, Liu C, and Qin W*. A novel complex network based dynamic rule selection approach for open shop scheduling problem with release dates [J]. Mathematical Biosciences and Engineering, 2019, 16(5): 4491-4505.

2018年
[1] Qin W*, Zha D, Zhang J. An effective approach for causal variables analysis in diesel engine production by using mutual information and network deconvolution[J]. Journal of Intelligent Manufacturing, 2020, 31(7): 1661-1671.
[2] Qin W*, Zhang J, and Song D.L. An improved ant colony algorithm for dynamic hybrid flow shop scheduling with uncertain processing time [J]. Journal of Intelligent Manufacturing. 2018, 29(4): 891-904.
[3] Jahanshahi P, Qin W*, Zhang J, and Erfan Z. Designing a non-invasive surface acoustic resonator for ultra-high sensitive ethanol detection for an on-the-spot health monitoring system [J]. Biotechnology and Bioprocess Engineering. 2018, 23(4), 394-404.
[4] Lv Y, Qin W, Yang J and Zhang J*. (2018). Adjustment mode decision based on support vector data description and evidence theory for assembly lines. Industrial Management & Data Systems, 118(8), 1711-1726.
[5] Wang J, Zheng P, Qin W, et al. A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties[J]. Enterprise Information Systems, 2019, 13(4): 430-447.

2017年
[1] W.Qin*, Ray.Y.Zhong, H.Y.Dai, and Z.L.Zhuang. An Assessment Model for RFID Impacts on Prevention and Visibility of Inventory Inaccuracy Presence [J]. Advanced Engineering Informatics. 2017, 34: 70-79.
[2] Lv Y, Zhang J, Qin W. A genetic regulatory network-based method for dynamic hybrid flow shop scheduling with uncertain processing times[J]. Applied sciences, 2017, 7(1): 23.
[3] Lv Y, Zhang J*, Qin W. A genetic regulatory network-based sequencing method for mixed-model assembly lines [J]. Advances in Production Engineering & Management. 2017, 12(1): 62-74.
[4] Pan C, Zhang J*, Qin W. Real-time OHT Dispatching Mechanism for the Interbay Automated Material Handling System with Shortcuts and Bypasses [J]. Chinese Journal of Mechanical Engineering. 2017, 30(3): 663-675.

2016年及之前
[1] P.Jahanshahi*, W.Qin, J.Zhang, M.Ghomeishi, S.D.Sekaran, and F.R.Mahamd Adikan. Kinetic analysis of IgM monoclonal antibodies for determination of dengue sample concentration using SPR technique [J]. Bioengineered. 2015, 8(3): 239-247.
[2] J.Zhang*, W.Qin, and L.H.Wu. A performance analytical model of automated material handling system for semiconductor wafer fabrication system [J]. International Journal of Production Research. 2015, 54(6): 1650-1669.
[3] J.Zhang*, W.Qin, L.H.Wu, and W.B.Zhai. Fuzzy neural network-based rescheduling decision mechanism for semiconductor manufacturing [J]. Computers in Industry. 2014, 65:1115-1125.
[4] W.Qin, J.Zhang*, and Y.B.Sun. Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator [J]. Computers in Industry. 2013, 64(6): 694-707.
[5] W.Qin, J.Zhang*, and Y.B.Sun. Dynamic dispatching for interbay material handling by using modified Hungarian algorithm and fuzzy-logic-based control [J]. International Journal of Advanced Manufacturing Technology. 2013, 67(1): 295-309.
[6] Qu, T., Yang, H. D., Huang, G. Q., Zhang, Y. F., Luo, H., & Qin, W. (2012). A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers. Journal of Intelligent Manufacturing, 23(6), 2343-2356.
[7] W.Qin, and Geroge.Q.Huang*. A Two-Level Genetic Algorithm for Scheduling in Assembly Islands with Fixed-Position Layouts [J]. Journal of System Science and System Engineering. 2010, 19(2): 150-161.

专著：
[1] 秦威. 面向智能制造的机器智能理论与方法 [M]. 电子工业出版社, 2020. （已签约，撰稿中）
[2] 张洁, 秦威, 高亮. 大数据驱动的智能车间运行分析与决策方法 [M]. 华中科技大学出版社. 2020.
[3] 张小红, 秦威. 智能制造导论 [M]. 上海交通大学出版社, 2019.
[4] Jie Zhang, Wei Qin, Lihui Wu, Junliang Wang, Youlong Lv and Xiaoxi Wang. Wafer Fabrication: Automatic Materiel Handling System [M]. Walter de Gruyter GmbHr, 2018.
[5] 张洁, 秦威. 制造系统智能调度方法与云服务 [M]. 华中科技大学出版社, 2018.
[6] 张洁, 秦威, 鲍劲松. 制造业大数据 [M]. 上海科学技术出版社, 2016.
[7] 张洁, 秦威, 吴立辉. 晶圆制造自动化物料运输系统调度 [M]. 华中科技大学出版社, 2015.

本科生课程：大数据分析与机器智能、运筹学
研究生课程：大数据分析

专利：
[1] 基于堆叠残差因果卷积神经网络的锂电池健康状态检测方法，专利号：ZL202010689054.9
[2] 基于注意力机制的高炉热负荷异常状态监测方法，公开号：CN114015825A
[3] 工业软测量中考虑因果效应的辅助变量选择方法，公开号：CN113821982A
[4] 可解释集成学习的间歇过程质量在线预测方法，公开号：CN113807606A
[5] 基于超启发式算法的自动化码头出口箱箱位分配优化方法，公开号：CN112598255A
[6] 两阶段的面向复杂约束下的钢铁企业设备检修调度方法，公开号：CN111950786A
[7] 自动化集装箱码头全域集成网络调度方法，公开号：CN115130316A
[8] 自动化集装箱码头泊位和岸桥优化分配方法，公开号：CN115713170A
[9] 基于动态规划的集装箱船舶配载箱位预留方法，公开号：CN115271140A
[10] 数据驱动的中医药制造过程工艺参数优化方法，公开号：CN116414095A
[11] 数据驱动的基于不平衡装配数据的发动机质量预测方法，公开号：CN116541987A
[12] 一种发动机信息处理方法、装置及设备，公开号：CN115496119A
[13] 一种图像识别方法、装置及电子设备，公开号：CN115719507A
软著：
[1] New Master 智能制造执行系统，登记号：2016SR323633
[2] New Master制造执行系统，登记号：2016SR107234
[3] 面向多制造过程的调度算法库与插件平台，登记号：2014SR026660
[4] 混流装配生产线工艺发布和质量自检系统，登记号：2013SR114322
[5] 航空复杂结构件加工工艺与生产调度优化软件，登记号：2021SR1694944
[6] 三维工序模型数控程序快速生成系统， 登记号：2020SR0968323
[7] 自动化集装箱码头车辆动态自适应调配优化软件, 登记号：2022SR0965154
[8] 考虑船舶配积载和泊位配置的岸桥作业仿真系统，登记号：2023SR0340863

[1] Journal of Intelligent Manufacturing，副主编
[2] 工业工程与管理期刊，编委
[3] 中国机械工程学会工业大数据与智能系统分会，副总干事
[4] 中国机电一体化技术应用协会工业大数据分会，秘书长
[5] Journal of Intelligent Manufacturing：“Operations Research in Machine Intelligence”—— Lead Guest Editor
[6] International Journal of Computer Integrated Manufacturing：“Data-Driven Modeling and Analytics for Optimization of Complex Manufacturing Systems”—— Lead Guest Editor
[7] Journal of Cleaner Production：“Sustainable product lifecycle management based on smart enabling technologies”—— Special Issue Organizer

2022 中国港口协会科技进步奖特等奖
2021 “一汽丰田杯”中国工业工程与精益管理创新大赛 一等奖（指导教师）
2021 上海交通大学教学成果奖 一等奖
2020 “一汽丰田杯”中国工业工程与精益管理创新大赛 一等奖（指导教师）
2019 新利体育青年教师教学竞赛 一等奖
2017 上海交通大学教职工年度考核 优秀
2017 新利体育非全日制专业学位研究生教育“优秀论文指导教师”
2014 上海交通大学“优秀班主任”
2009 香港“U-21 RFID技术应用创新奖”
2008 香港大学 University Postgraduate Fellowships