2007-2011, The University of Hong Kong, Doctor
2004-2006, Tsinghua University, Master
2000-2004, Shanghai Jiao Tong University, Bachelor

2019.12-present Deputy Dean, Department of Industrial Engineering and Management, Shanghai Jiao Tong University
2017.12-present Associate Professor, School of Mechanical and Power Engineering, Shanghai Jiao Tong University
2014.07-2017.12 Lecturer, School of Mechanical and Power Engineering, Shanghai Jiao Tong University

2016.5-2016.11 Process Technical Supervisor Engineer, AECC Commercial Aircraft Engine Co., Ltd.
2018.3-now Assistant Director, Intelligent Manufacturing Office, Lingang District, Shanghai

1. Modeling, control, and optimization of complex systems
2. Theory, Methods, and Applications of Machine Intelligence

2023-2026 National Key R&D Program of China: "Key technologies and application demonstrations of intelligent terminals in all areas and multiple scenarios"
2022-2023 Commercial Aircraft System Engineering Center Joint Fund Project: "Precise Execution Method of Aircraft Assembly Outline Driven by Big Data"
2020-2022 Shanghai "Science and Technology Innovation Action Plan": "Research on Attitude Tracking and Accurate Measurement Technology for Aircraft Mobile Docking"
2020-2021 National Defense Basic Research Program: "Decision Optimization Technology for Aviation Complex Structural Parts Processing Workshop Based on Big Data"
2019-2022 National Key R&D Program Project: "Big data driven intelligent operation management for ultra large container terminals"
2018-2021 National Natural Science Foundation of China (NSFC),“Dynamic Dispatch Method for Wafer Manufacturing Automation Material Transportation System Based on Complex Network Theory”
2017-2020 Key Project of Aerospace Advanced Manufacturing Technology Joint Fund,“Real-time optimized collaborative management of air defense missile structural parts for smart factories”
2017-2019 The new mode and new standard project of intelligent manufacturing of Ministry of Industry and Information Technology,“Application project of new intelligent manufacturing mode of hollow capsule”
2017-2018 Shanghai Aerospace Science and Technology Innovation Fund,“Method of constructing the characteristic network model of complex aerospace cabin structure based on 3D design model”
2016-2018 The new mode and new standard project of intelligent manufacturing of Ministry of Industry and Information Technology, “Application project of new mode of intelligent manufacturing of traditional Chinese medicine products”
2016-2018 Special project of intelligent manufacturing industry in Lingang District,“Intelligent production workshop for cylindrical battery power battery pack”
2016-2017 Microsoft commissioned project, "Microsoft Manufacturing Execution System"
2016-2017 Yuchai commissioned project, "Data-driven diesel engine power consistency analysis and multi-parameter control method"
2015-2017 National Science and Technology Support Program, “Automatic production line for food aseptic carton packaging robot”
2014-2016 National Natural Science Foundation of China youth program, “Research on Modeling and Performance Prediction Methods for Wafer Manufacturing Systems Driven by State Parameters”
2013-2015 China Postdoctoral Fund, “Modeling Method for Wafer Manufacturing System Based on Scale-Free Network and System Dynamics”
2012-2014 “Science and Technology Innovation Action Plan”, Shanghai Science and Technology Commission， “Research on Precision Control Technology for Complex Product Manufacturing Process”

SCI papers：
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.

Chinese papers：
[1] 張潔, 高亮, 秦威,等. 大數(shù)據(jù)驅(qū)動的智能車間運行分析與決策方法體系[J]. 計算機集成制造系統(tǒng), 2016, 22(5):1220-1228.
[2] 張潔, 潘聰, 孫寅斌, 吳立輝, 秦威,等. 基于改進匈牙利算法和模糊邏輯控制的Interbay物料運輸系統(tǒng)調(diào)度方法[J]. 上海交通大學學報, 2016, 50(5):647-653.
[3] 張潔, 潘聰, 秦威,等. 基于復合規(guī)則的Interbay物料運輸系統(tǒng)多目標調(diào)度方法[J]. 計算機集成制造系統(tǒng), 2016, 22(8):1965-1976.
[4] 周亞平, 張潔, 秦威. 大型航天薄壁結構件特征識別方法[J]. 計算機集成制造系統(tǒng), 2016, 22(11):2505-2512.
[5] 汪俊亮, 秦威, 張潔. 基于數(shù)據(jù)挖掘的晶圓制造交貨期預測方法[J]. 中國機械工程, 2016, 27(1):105-108.
[6] 楊俊剛, 張潔, 秦威,等. 面向半導體制造的大數(shù)據(jù)分析平臺[J]. 計算機集成制造系統(tǒng), 2016, 22(12):2900-2910.
[7] 張潔, 秦威, 宋代立. 考慮工時不確定的混合流水車間滾動調(diào)度方法[J]. 機械工程學報, 2015, 51(11):99-108.
[8] 汪俊亮, 張潔, 秦威,等. 加工時間不確定的柔性作業(yè)車間魯棒調(diào)度方法[J]. 中國機械工程, 2015, 26(5):627-632.

Monographs：
[1] 秦威. 面向智能制造的機器智能理論與方法 [M]. 電子工業(yè)出版社, 2020. （已簽約，撰稿中）
[2] 張潔, 秦威, 高亮. 大數(shù)據(jù)驅(qū)動的智能車間運行分析與決策方法 [M]. 華中科技大學出版社. 2020.
[3] 張小紅, 秦威. 智能制造導論 [M]. 上海交通大學出版社, 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] 張潔, 秦威. 制造系統(tǒng)智能調(diào)度方法與云服務 [M]. 華中科技大學出版社, 2018.
[6] 張潔, 秦威, 鮑勁松. 制造業(yè)大數(shù)據(jù) [M]. 上海科學技術出版社, 2016.
[7] 張潔, 秦威, 吳立輝. 晶圓制造自動化物料運輸系統(tǒng)調(diào)度 [M]. 華中科技大學出版社, 2015.

Undergraduate courses:
Big Data Analysis
Operations Research

Graduate course:
Big Data Analysis

Patents:
[1] Lithium battery health status detection method based on stacked residual causal convolutional neural network, patent number: ZL202010689054.9
[2] Monitoring Method for Abnormal State of Blast Furnace Heat Load Based on Attention Mechanism, Publication Number: CN114015825A
[3] A Method for Selecting Auxiliary Variables Considering Causal Effects in Industrial Soft Measurement, Publication Number: CN113821982A
[4] Interpretable ensemble learning based online quality prediction method for batch processes, publication number: CN113807606A
[5] Optimization Method for Allocation of Export Container Positions in Automated Terminals Based on Hyperheuristic Algorithm, Publication Number: CN112598255A
[6] A two-stage equipment maintenance scheduling method for steel enterprises under complex constraints, publication number: CN111950786A
[7] Global integrated network scheduling method for automated container terminals, publication number: CN115130316A
[8] Optimal allocation method of berths and quay cranes in automated container terminals, publication number: CN115713170A
[9] Container ship stowage space reservation method based on dynamic programming, publication number: CN115271140A
[10] Data-driven optimization method of process parameters in traditional Chinese medicine manufacturing process, publication number: CN116414095A
[11] Data-driven engine quality prediction method based on unbalanced assembly data, publication number: CN116541987A
[12] An engine information processing method, device and equipment, publication number: CN115496119A
[13] An image recognition method, device and electronic equipment, publication number: CN115719507A


Software copyrights:
[1] New Master Intelligent Manufacturing Execution System, Registration Number: 2016SR323633
[2] New Master Manufacturing Execution System, Registration No. 2016SR107234
[3] Scheduling algorithm library and plugin platform for multiple manufacturing processes, registration number: 2014SR026660
[4] Process release and quality self inspection system for mixed flow assembly production line, registration number: 2013SR114322
[5] Aviation complex structural component processing technology and production scheduling optimization software, registration number: 2021SR1694944
[6] 3D process model CNC program rapid generation system, registration number: 2020SR0968323
[7] Automated container terminal vehicle dynamic adaptive allocation optimization software, registration number: 2022SR0965154
[8] Quayside crane operation simulation system considering ship stowage and berth configuration, registration number: 2023SR0340863

[1] Journal of Intelligent Manufacturing, Associate Editor in Chief
[2] Journal of Industrial Engineering and Management, Editorial Board
[3] Deputy Director General, Industrial Big Data and Intelligent Systems Branch of the Chinese Society of Mechanical Engineering
[4] Secretary General of the Industrial Big Data Branch of the China Association for the Application of Mechatronics Technology

2022 China Port Association Science and Technology Progress Special Prize
2022 First Prize for Teaching Achievements in Shanghai
2021 Shanghai Jiao Tong University Teaching Achievement Special Prize
2019 Teaching Competition for Young Teachers at the School of Mechanical and Power Engineering, Shanghai Jiao Tong University
2017 "Excellent Thesis Guidance Teacher" for Non full-time Professional Degree Graduate Education at the School of Mechanical and Power Engineering, Shanghai Jiao Tong University
2014 Shanghai Jiao Tong University "Excellent Class Teacher"
2009 Hong Kong U-21 RFID Technology Application Innovation Award
2008 University of Hong Kong Postgraduate Fellowships