个人简介
金光英，兴海副教授，硕士生导师，[email protected] 
本科毕业于东北大学，硕士就读于哈尔滨工业大学，博士毕业于法国波尔多大学IMS国家实验室。大连市“青年才俊”高层次人才。曾前往德国国家实验室Fraunhofer IPK（生产设备与设计技术）研究所从事科研工作。主要研究领域包括数据融合与人工智能、大数据分析、智能预测、智慧港口管理、多目标决策分析、风险管理、人力资源管理等。
主要研究领域：
学科：管理科学与工程、工业工程与管理、工程管理、数字经济；
主要讲授课程：
本科生：《C语言程序设计》、《C语言编程实践》、《Nosql数据库原理及应用》
硕/博研究生：《大数据分析方法及应用》
主持和参与的科研项目：
[1] 辽宁省社会科学规划基金一般项目，L22BGL008，智慧港口环境下基于企业-员工多源数据视角的大连国际枢纽港人力资源配置机理研究，主持
[2] 国家自然科学基金面上项目，72271037，企业智能产品数字技术创新中的知识整合策略研究，参与
[3] 国家自然科学基面上项目，72271038，基于“物联网+区块链”的近岸海域污染物反演溯源方法，参与
主要学术论文和专著：
[1] Jin Guangying, Yang, Chunhui. A systematic intelligent prediction model for residential construction cost based on fuzzy AHP and GA-BP neural network；2026 (JCR-1区 Top，IF: 9.9)
[2] Jin Guangying, Ran Wei., Zhang Manyue, Li Yun. An Intelligent Prediction Model for the Synthesis Conditions of Metal−Organic Frameworks Utilizing Artificial Neural Networks Enhanced by Genetic Algorithm Optimization. Journal of Chemical Information and Modeling; 2025 (JCR -1区 Top，IF: 5.3)
[3] Jin Guangying; Selection of virtual team members for smart port development projects through the application of the direct and indirect uncertain TOPSIS method; Expert Systems with Applications; 2023 (JCR -1区Top, IF: 7.5)
[4] Jin, Guangying, Séverine Sperandio, and Philippe Girard; Selecting risk response strategies to minimize human errors in a design project for factories of the future. Expert Systems with Applications; 2023 (JCR -1区Top, IF：7.5)
[5] Jin Guangying, Sperandio, S., & Girard, P.; Selection of design project with the consideration of designers' satisfaction factors and collaboration ability; Computers & Industrial Engineering; 2019 (JCR -1区Top, IF：6.5)
[6] Jin Guangying, & Jäkel, F. W.; Execution and evaluation of enterprise models in IEM/MO2GO based on Petri net; The International Journal of Advanced Manufacturing Technology; 2018 (JCR-2区，IF: 2.9)
[7] Jin Guangying. Designer Selection for Complex Engineering System Design Projects Considering the Disciplines Demanded. Sustainability; 2022 (JCR-2区，IF: 3.3)
[8] Jin Guangying., Jin, G., & Huo, H.; Selection of Business Process Modeling Tool with the Application of Fuzzy DEMATEL and TOPSIS Method. Axioms. 2022 (JCR-2区，IF: 1.6)
[9] Jin Guangying, Feng, Wei, & Meng, Qingpu; Prediction of Waterway Cargo Transportation Volume to Support Maritime Transportation Systems Based on GA-BP Neural Network Optimization. Sustainability; 2022 (JCR-2区，IF: 3.3)
[10] Jin Guangying, Meng, Qingpu, & Feng, Wei. Optimization of logistics system with fuzzy FMEA-AHP methodology. Processes; 2022 (JCR-2区，IF: 2.8)
[11] Jin Guangying, & Jin, G.; Fault-diagnosis sensor selection for fuel cell stack systems combining an analytic hierarchy process with the technique order performance similarity ideal solution method; Symmetry; 2022 ((JCR-2区，IF: 2.2)
[12] Jin Guangying, Ran, Wei., Zhang, Manyue, Li, Yun. Intelligent Prediction of TFT-LCD’s Quality Based on BP Neural Network. In Proceedings of the 10th International Conference on Industrial and Business Engineering. 2024 (EI检索)
[13] Jin Guangying, Yang, Chunhui. Forecasting Human Resources Demand of Port Enterprises Based on Grey BP Neural Network. In Proceedings of the 9th International Conference on Industrial and Business Engineering; 2023 (EI检索).
[14] Jin Guangying, Meng Qingpu, Feng Wei; Logistics System Risk Analysis Using FMEA-AHP Methodology: during and after the COVID-19 pandemic[C]//Proceedings of the 8th International Conference on Industrial and Business Engineering; 2022 (EI检索)
[15] Jin Guangying, Feng, Wei., & Meng, Qingpu; Prediction of Port Container Throughput Based on PSO Optimization BP Neural Network Model; In Proceedings of the 8th International Conference on Industrial and Business Engineering; 2022 (EI检索)
[16] Jin Guangying, Sperandio, S., & Girard, P.; Collaborative and Participatory Design: Assignment of Team Members to Engineering Projects with the Consideration of Designer’s Expectations; In Proceedings of the Design Society: International Conference on Engineering Design; 2019. (EI检索)
审稿人经历：
担任 Expert Systems with Applications、Computers & Security、Journal of Chemical Information and Modeling等期刊审稿人
招生类别和方向：
[1] 硕士（学硕或专硕）招生方向或领域：
管理科学与工程 1名/年
工业工程 2名/年
工程管理 1名/年
项目管理 1名/年
数字经济 1名/年
联系方式：[email protected]
