个人简介

魏巍，副教授，博士生导师，辽宁沈阳人

基本信息

办公地点：北京市航空航天大学沙河校区科研三号楼504

电子邮件：weiwei@buaa.edu.cn

电话：010-82315651，15201162586

教育背景

浙江大学            机械工程学系              博士       2005/09 - 2010/09

东北大学            机械工程及自动化学院        学士       2001/09- 2005/07

工作经历

北京航空航天大学      机械工程及自动化学院      副教授     2018至今

北京航空航天大学      机械工程及自动化学院      讲师      2010-2018

美国南加州大学       工学院             访问学者    2014-2016

研究方向

1、数据驱动的产品设计

2、智能制造技术

3、知识工程

4、产品全生命周期管理

5、虚拟现实与增强现实

6、机器视觉技术

讲授课程

1、本科生课《工程图学基础》,（春季）

2、本科生课《产品创新设计方法导论》,（春季、秋季）

3、本科生课《制造系统数字孪生系统及应用》,（秋季）

4、本科生课《智能制造工程基础》,（秋季）

代表性科研项目

一直从事数据驱动的产品设计、智能制造技术、知识工程、产品全生命周期管理、虚拟现实与增强现实、机器视觉技术等领域的技术与应用研究，在R&CIM、机械工程学报等国际、国内期刊上发表论文70余篇，出版学术专著1本，授权专利、软著20余项。主持了2项国家自然科学基金项目、主持了多项国家重点研发计划课题、工信部智能制造专项课题、航空科学基金等国家级、省部级课题和企业合作课题。

代表性学术论文（*为通讯作者）

[1]W. Wei, C. Hao, Z. Wang, User needs insights from ugc based on large language model, Advanced Engineering Informatics 65 (2025) 103268.(Q1区,SCI)

[2]Wei, Wei, and Chuan Jiang. 2025. “The Construction of Shield Machine Fault Diagnosis Knowledge Graph Based on Joint Knowledge Extraction Model.” Journal of Engineering Design 36 (3): 355–74. (Q1区,SCI)

[3]W. Wei, C. Jiang and Y. Huang, "A Data-Driven Human–Machine Collaborative Product Design System Toward Intelligent Manufacturing," IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 736-749, 2025. (Q1区,SCI)

[4]Wei Wei, Wang Pingyuan. Scale-Based product family optimization design based on the improved AMPSO in selecting optimum strategy[J]. Robotics and Computer-Integrated Manufacturing, 2019, 57: 370-378.(Q1区,SCI)

[5]Zhang Z, Liu L, Wei Wei（通讯作者）, et al. A Systematic Function Recommendation Process for Data-Driven Product and Service Design[J]. Journal of Mechanical Design, 2017, 139(11): 111404.(Q1区,SCI)

[6]Wei wei, Yixiong Feng, Jianrong Tan. Product platform two-stage quality optimization design based on multiobjective genetic algorithm, Computers & Mathematics with Applications,2009,57(11):1929-1937(Q1区,SCI)

[7]Wei wei,Wenhui Fan,Zhongkai Li.Multi-objective optimization and evaluation method of modular product configuration design scheme.International Journal of Advanced Manufacturing Technology.2014(75):9-12,1527-1536(Q2区,SCI)

[8]Wei wei,He Liang, Thorsten WUEST, Ang Liu.A New Module Partition Method based on the Criterion and Noise Functions of Robust Design.International Journal of Advanced Manufacturing Technology. 2018. 94(9-12): 3275-3285 (Q2区,SCI)

[9]Wei Wei, Tian Z, Peng C, et al. Product family flexibility design method based on hybrid adaptive ant colony algorithm[J]. Soft Computing, 2018: 1-12. (Q2区,SCI)

[10]Wei wei, Yixiong Feng, Jianrong Tan. Product Model Evolvement and Configuration Knowledge Reuse Method, Chinese Journal of Mechanical Engineering.2009, 22(6):856-861(SCI)

学术与社会服务

现任中国图学学会理事；中国图学学会青年委员会副主任委员、产品信息建模专业委员会委员、数字孪生专业委员会委员、智能工厂委员会委员，工程院互联网+行动计划专家组成员；国家自然基金函评专家、国际学术期刊《Journal of Engineering Design》，《Journal of Intelligent Manufacturing》,《Journal of Product Innovation Management》,《Journal of Computer Integrated Manufacturing》《Journal of the Chinese Institute of Enginees》国内学术期刊《计算机集成制造系统》《CAD&CG》等期刊审人。

Name:WEI Wei

Education experience：

2005/09 - 2010/09: PH.D, Zhejiang University

Work experience:

2010/10-NOW：School of Mechanical Engineering and Automation, BeihangUniversity, Associate professor，Doctoral supervisor

2013/6 -2014/7： University of Southern California (Visiting scholar)

Teaching:

Engineering Graphics Basics

Intelligent Manufacturing Engineering Basics

Product Innovation Design Method Introduction

Research:

Data driven product design

Intelligent manufacturing technology

Knowledge engineering

Product life cycle management

Virtual reality and augmented reality technology

Machine vision technology

Awards：

2010,Blue sky promising young person

2018,Youth top talent program

Publications:

[1]W. Wei, C. Hao, Z. Wang, User needs insights from ugc based on large language model, Advanced Engineering Informatics 65 (2025) 103268.(Q1区,SCI)

[2]Wei, Wei, and Chuan Jiang. 2025. “The Construction of Shield Machine Fault Diagnosis Knowledge Graph Based on Joint Knowledge Extraction Model.” Journal of Engineering Design 36 (3): 355–74. (Q1区,SCI)

[3]W. Wei, C. Jiang and Y. Huang, "A Data-Driven Human–Machine Collaborative Product Design System Toward Intelligent Manufacturing," IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 736-749, 2025. (Q1区,SCI)

[4]Wei Wei, Wang Pingyuan. Scale-Based product family optimization design based on the improved AMPSO in selecting optimum strategy[J]. Robotics and Computer-Integrated Manufacturing, 2019, 57: 370-378.(Q1区,SCI)

[5]Zhang Z, Liu L, Wei Wei（通讯作者）, et al. A Systematic Function Recommendation Process for Data-Driven Product and Service Design[J]. Journal of Mechanical Design, 2017, 139(11): 111404.(Q1区,SCI)

[6]Wei wei, Yixiong Feng, Jianrong Tan. Product platform two-stage quality optimization design based on multiobjective genetic algorithm, Computers & Mathematics with Applications,2009,57(11):1929-1937(Q1区,SCI)

[7]Wei wei,Wenhui Fan,Zhongkai Li.Multi-objective optimization and evaluation method of modular product configuration design scheme.International Journal of Advanced Manufacturing Technology.2014(75):9-12,1527-1536(Q2区,SCI)

[8]Wei wei,He Liang, Thorsten WUEST, Ang Liu.A New Module Partition Method based on the Criterion and Noise Functions of Robust Design.International Journal of Advanced Manufacturing Technology. 2018. 94(9-12): 3275-3285 (Q2区,SCI)

[9]Wei Wei, Tian Z, Peng C, et al. Product family flexibility design method based on hybrid adaptive ant colony algorithm[J]. Soft Computing, 2018: 1-12. (Q2区,SCI)

[10]Wei wei, Yixiong Feng, Jianrong Tan. Product Model Evolvement and Configuration Knowledge Reuse Method, Chinese Journal of Mechanical Engineering.2009, 22(6):856-861(SCI)